Preservice science teachers coding science simulations: epistemological understanding, coding skills, and lesson design

National and state science learning standards urge K-12 educators to offer authentic Science, Technology, Engineering, and Mathematics learning experiences. One way to fulfill this goal is to prepare preservice science teachers to integrate computer science skills, such as coding, into science educa...

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Veröffentlicht in:	Educational technology research and development Jg. 70; H. 4; S. 1517 - 1549
Hauptverfasser:	Vasconcelos, Lucas, Kim, ChanMin
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.08.2022 Springer Springer Nature B.V
Schlagworte:	Coding Computer Science Cultural and Regional Perspectives Design Education Educational Technology Epistemology Instructional Design Learning and Instruction Lesson Plans Mathematics Education Preservice Teacher Education Preservice Teachers Science education Science Experiments Science Teachers Sciences education Simulation Teachers Coding concepts Scientific modeling Lesson design Scientific models Block-based coding Epistemological understanding
ISSN:	1042-1629, 1556-6501
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Abstract	National and state science learning standards urge K-12 educators to offer authentic Science, Technology, Engineering, and Mathematics learning experiences. One way to fulfill this goal is to prepare preservice science teachers to integrate computer science skills, such as coding, into science education learning contexts that can benefit from it. This study implemented Coding in Scientific Modeling Lessons (CS-ModeL) in a science teacher education course. CS-ModeL is the name of an instructional module and of an online tool, and they aim to support preservice science teachers’ use of coding in scientific modeling and lesson design. Preservice teachers used block-based coding to create science simulations, performed analogous physical experiments, and designed lessons in which they support scientific modeling with coding. This mixed methods study investigated if and how participation in CS-ModeL affected preservice teachers’ epistemological understanding of scientific models and modeling along with their understanding of computer science concepts. This study also examined coding-enhanced scientific modeling activities in their designed lessons. Results showed an overall improvement in participants’ epistemological understanding of models and modeling, and in their understanding of computer science concepts. Participants’ lessons featured activities in which block-based coding simulations are used either as a research tool or as an exploration tool. Additionally, most lessons targeted computer science practices, but not concepts. It was also found that participants’ lessons were not aligned with their epistemological understanding of models and modeling. Study limitations, implications for research and practice, and directions for future research are discussed.
AbstractList	National and state science learning standards urge K-12 educators to offer authentic Science, Technology, Engineering, and Mathematics learning experiences. One way to fulfill this goal is to prepare preservice science teachers to integrate computer science skills, such as coding, into science education learning contexts that can benefit from it. This study implemented Coding in Scientific Modeling Lessons (CS-ModeL) in a science teacher education course. CS-ModeL is the name of an instructional module and of an online tool, and they aim to support preservice science teachers' use of coding in scientific modeling and lesson design. Preservice teachers used block-based coding to create science simulations, performed analogous physical experiments, and designed lessons in which they support scientific modeling with coding. This mixed methods study investigated if and how participation in CS-ModeL affected preservice teachers' epistemological understanding of scientific models and modeling along with their understanding of computer science concepts. This study also examined coding-enhanced scientific modeling activities in their designed lessons. Results showed an overall improvement in participants' epistemological understanding of models and modeling, and in their understanding of computer science concepts. Participants' lessons featured activities in which block-based coding simulations are used either as a research tool or as an exploration tool. Additionally, most lessons targeted computer science practices, but not concepts. It was also found that participants' lessons were not aligned with their epistemological understanding of models and modeling. Study limitations, implications for research and practice, and directions for future research are discussed.
Audience	Higher Education Postsecondary Education Academic
Author	Vasconcelos, Lucas Kim, ChanMin
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Cites_doi	10.1023/A:1009421303064 10.1080/0141192032000137349 10.1145/2713609.2713610 10.1080/095006999290110 10.1145/3015455 10.1002/sce.10130 10.1080/09500693.2010.502191 10.1177/001316446002000104 10.1016/S0196-0644(05)82571-5 10.1002/sce.10128 10.1007/s10972-007-9039-6 10.1080/09500693.2015.1012185 10.1007/s11251-018-9453-5 10.1111/ssm.12185 10.1080/07370000802177193 10.1080/09500693.2011.605182 10.1080/07370008.2011.534309 10.4135/9781446288009 10.1207/s1532690xci1601_2 10.1109/VLHCC.2015.7357237 10.1016/j.ijcci.2017.09.002 10.1177/1609406917748992 10.1145/3077618 10.1145/2591708.2591713 10.1007/s11423-016-9507-9 10.1007/978-3-319-24615-4 10.1007/978-1-4614-3185-5_41 10.1207/s15430421tip3903_2 10.1007/s10639-017-9673-3 10.1080/095006900416848 10.1007/BF00430277 10.12698/cpre.2006.rb44 10.1080/08878730.2011.552666 10.1002/sce.20259 10.1111/j.1365-2729.2005.00135.x 10.1007/s10734-009-9273-2 10.1007/s11165-016-9559-1 10.1007/978-94-017-9505-0_12 10.1080/095006900416884 10.1007/978-3-642-38706-7_4 10.3390/educsci8030119 10.1007/978-1-4614-3185-5_39 10.4087/FIKP8993 10.1080/10508406.2018.1487302 10.1177/160940690200100202 10.1002/sce.20324 10.1002/sce.20065 10.1145/1929887.1929905 10.1207/s1532690xci2302_1 10.1145/3017680.3017723 10.1016/S0193-3973(99)00049-0 10.1177/107780049800400208 10.1080/09500690410001673775 10.1002/tea.10112 10.29034/ijmra.v11n2editorial2 10.1007/s11251-020-09527-0 10.1145/3059009.3059067 10.1145/1118178.1118215 10.1007/978-90-481-3263-8_12 10.1177/104973239300300403 10.1007/978-3-319-02565-0 10.1177/1558689809334210 10.2307/2685679 10.21585/ijcses.v1i4.19 10.1111/j.1365-2729.2006.00215.x 10.1038/scientificamerican0816-42 10.1016/j.learninstruc.2004.06.003 10.1207/s15327809jls1303_2 10.29034/ijmra.v10n1a24 10.1177/1077800410383121 10.1145/1721933.1721953 10.1007/s10956-014-9503-y 10.1007/s10972-008-9116-5 10.3102/0034654316670999 10.1016/j.chb.2007.01.005 10.1177/160940690600500107 10.3102/0013189X12463051 10.1504/IJTEL.2016.10001505 10.1007/s10763-012-9395-3 10.1007/978-1-4020-6494-4_2 10.1145/2787622.2787712 10.1002/tea.20311 10.1007/s10972-014-9384-1 10.1126/science.1161948 10.1007/s10956-014-9497-5 10.1007/978-1-4419-1428-6_589 10.1007/978-1-4020-9041-7_20 10.3102/0034654308330970 10.7551/mitpress/7967.001.0001 10.1007/s10972-010-9225-9 10.1016/j.shpsa.2010.11.034 10.1002/sce.20177 10.1023/A:1011965830686 10.1007/978-94-010-0876-1 10.1007/s11191-017-9884-4 10.1016/j.bjoms.2007.09.002 10.1002/tea.3660280907 10.4103/2F2249-4863.161306 10.1080/14926150109556458 10.1145/3230977.3230995 10.1145/2994591 10.1002/tea.3660280107 10.1007/s10639-012-9240-x 10.1145/2960310.2960325 10.1007/s11423-019-09724-w 10.1002/sce.20385 10.1007/s10956-014-9534-4 10.1080/00219266.2015.1028570 10.1007/s10972-016-9453-8 10.33225/jbse/14.13.351
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References	Grover, S., & Basu, S. (2017). Measuring student learning in introductory block-based programming: Examining misconceptions of loops, variables, and boolean logic. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education - SIGCSE ’17, pp. 267–272. https://doi.org/10.1145/3017680.3017723 Wilkerson-JerdeMHGravelBHMacranderCAExploring shifts in middle school learners’ modeling activity while generating drawings, animations, and computational simulations of molecular diffusionJournal of Science Education and Technology20152439641510.1007/s10956-014-9497-5 ChengMLinJChangYLiHWuTLinDDeveloping explanatory models of magnetic phenomena through model-based inquiryJournal of Baltic Science Education2014133351360 HokayemHSchwarzCEngaging fifth graders in scientific modeling to learn about evaporation and condensationInternational Journal of Science and Mathematics Education2014121497210.1007/s10763-012-9395-3 MorseJMBarrettMMayanMOlsonKSpiersJVerification strategies for establishing reliability and validity in qualitative researchInternational Journal of Qualitative Methods200212132210.1177/160940690200100202 LeungLValidity, reliability, and generalizability in qualitative researchJournal of Family Medicine and Primary Care20154432432710.4103/2F2249-4863.161306 ChuSLDeuermeyerEQuekFSupporting scientific modeling through curriculum-based making in elementary school science classesInternational Journal of Child-Computer Interaction201710.1016/j.ijcci.2017.09.002 GreeneJCMixed methods in social inquiry2007Jossey-Bass KenyonLDavisEAHugBDesign approaches to support preservice teachers in scientific modelingJournal of Science Teacher Education201122112110.1007/s10972-010-9225-9 FeredayJMuir-CochraneEDemonstrating rigor using thematic analysis: A hybrid approach of inductive and deductive coding and theme developmentInternational Journal of Qualitative Methods2006518092 LehrerRSchaubleLDeveloping model-based reasoning in mathematics and scienceJournal of Applied Developmental Psychology2000211394810.1016/S0193-3973(99)00049-0 LoweRInterrogation of a dynamic visualization during learningLearning and Instruction200414325727410.1016/j.learninstruc.2004.06.003 Maiorana, F., Berry, M., Nelson, M., Lucarelli, C., Phillipps, M., Mishra, S., & Benassi, A. (2017). International perspectives on CS teacher formation and professional development. pp. 236–237. https://doi.org/10.1145/3059009.3059067 OhPSOhSJWhat teachers of science need to know about models: An overviewInternational Journal of Science Education20113381109113010.1080/09500693.2010.502191 HoferBKPersonal epistemological research: Implications for learning and teachingJournal of Educational Psychology Review2001131353383 LyleJStimulated recall: A report on its use in naturalistic researchBritish Educational Research Journal200329686187810.1080/0141192032000137349 CreswellJWMillerDLDetermining validity in qualitative inquiryTheory into Practice200039312413010.1207/s15430421tip3903_2 SchwarzCDeveloping preservice elementary teachers’ knowledge and practices through modeling-centered scientific inquiryScience Education200993472074410.1002/sce.20324 National Research CouncilInquiry and the national science education standards: A guide for teaching and learning2000National Academies Press CarrierSJImplementing and integrating effective teaching strategies including features of lesson study in an elementary science methods courseThe Teacher Educator201146214516010.1080/08878730.2011.552666 WindschitlMThompsonJBraatenMHow novice science teachers appropriate epistemic discourses around model-based inquiry for use in classroomsCognition and Instruction200826331037810.1080/07370000802177193 BellandBRWalkerAEKimNJLeflerMSynthesizing results from empirical research on computer-based scaffolding in STEM education a meta-analysisReview of Educational Research201787230934410.3102/0034654316670999 Gal-EzerJStephensonCComputer science teacher preparation is criticalACM Inroads2010116166 SiegelSYNonparametric statisticsThe American Statistician1957113131910.2307/2685679 PapertSMindstorms: Children, computers, and powerful ideas1980Basic Books BasuSFostering synergistic learning of computational thinking and middle school science in computer-based intelligent learning environments2016Vanderbilt University GilbertJKBoulterCJDeveloping models in science education2000Kluwer Academic Publishers NersessianNJCreating scientific concepts2008MIT Press SchwarzCVGwekwerereYNUsing a guided inquiry and modeling instructional framework (EIMA) to support pre-service K-8 science teachingScience Education2007911158186 CrawfordBCullinMSupporting perspective teachers’ conceptions of modeling in scienceInternational Journal of Science Education2004261113791401 QianYLehmanJStudents’ misconceptions and other difficulties in introductory programming: A literature reviewACM Transactions on Computing Education201718112410.1145/3077618 GaddisGMGaddisMLIntroduction to biostatistics: Part 5, statistical inference techniques for hypothesis testing with nonparametric dataAnnals of Emergency Medicine19901991054105910.1016/S0196-0644(05)82571-5 ChiouGLAndersonORA study of undergraduate students understanding of heat conduction based on mental model theory and an ontology-process analysisScience Education2010945825854 TashakkoriATeddlieCMixed methodology: Combining qualitative and quantitative approaches1998Sage Publications XiangLPassmoreCA framework for model-based inquiry through agent-based programmingJournal of Science Education and Technology201524131132910.1007/s10956-014-9534-4 BoyatzisRETransforming qualitative information: Thematic analysis and code development1998Sage Publications KnappTRMuellerROHancockGRMuellerROReliability and validity of instrumentsThe reviewer’s guide to quantitative methods in the social sciences2010Routledge337341 KazempourMAmirshokoohiATransitioning to inquiry-based teaching: Exploring science teachers’ professional development experiencesInternational Journal of Environmental & Science Education201491285309 Plano ClarkVCreswellJWDesigning and conducting mixed methods research20112Sage Publications BauDGrayJKelleherCSheldonJTurbakFLearnable programming: Blocks and beyondCommunications of the ACM20176067280 ValanidesNAngeliCPreservice teachers as ICT designers: An instructional design model based on an expanded view of pedagogical content knowledgeJournal of Computer Assisted Learning2005214292302 GrosslightLUngerCJayESmithCLUnderstanding models and their use in science: Conceptions of middle and high school students and expertsJournal of Research in Science Teaching1991281737910.1002/tea.3660280907 SamarapungavanATippinsDBryanLTrundleKCSaçkesMA modeling-based inquiry framework for early childhood science learningResearch in early childhood science education2015Springer259277 IvankovaNVHerbeyIIRousselLATheory and practice of using mixed methods in translational research: A cross-disciplinary perspectiveInternational Journal of Multiple Research Approaches201810135637210.29034/ijmra.v10n1a24 Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 Annual Meeting of the American Educational Research Association, Vancouver, Canada, pp. 1–25. Retrieved from http://scratched.gse.harvard.edu/ct/files/AERA2012.pdf WiemanCAdamsWKPerkinsKKPhET: Simulations that enhance learningScience20083221682683 RenkenMPefferMOtrel-CassKGiraultIChioccarielloASimulations as scaffolds in science education2016Springer StammenAMaloneKIrvingKEffects of modeling instruction professional development on biology teachers’ scientific reasoning skillsEducation Sciences20188311910.3390/educsci8030119 WilenskyUResnickMThinking in levels: A dynamic systems approach to making sense of the worldJournal of Science Education and Technology199981319 Merrill, S. (2017, December 7). The future of coding in schools. Edutopia. Retrieved from https://www.edutopia.org/article/future-coding-schools BellandBRInstructional scaffolding in STEM education2017Springer International Publishing KimCYuanJVasconcelosLShinMHillRDebugging during block-based programmingInstructional Science201846576778710.1007/s11251-018-9453-5 WindschitlMThompsonJBraatenMBeyond the scientific method: Model-based inquiry as a new paradigm of preference for school science investigationsScience Education200892594196710.1002/sce.20259 YadavAStephensonCHongHComputational thinking for teacher educationCommunications of the ACM20176045562 ClarkeVBraunVTeaching thematic analysis: Overcoming challenges and developing strategies for effective learningThe Psychologist2013262120123 ZachariaZBeliefs, attitudes, and intentions of science teachers regarding the educational use of computer simulations and inquiry-based experiments in physicsJournal of Research in Science Teaching200340879282310.1002/tea.10112 SeelNMModel-based learning: A synthesis of theory and researchEducational Technology Research and Development201765493196610.1007/s11423-016-9507-9 GouveaJPassmoreC‘Models of’ versus ‘models for’: Toward an agent-based conception of modeling in the science classroomScience & Education2017261–2496310.1007/s11191-017-9884-4 KirschnerPAEpistemology, practical work and academic skills in science educationScience and Education19921327329910.1007/BF00430277 Zucker, D. M. (2009). How to do a case study. In Teaching research methods in the humanities and social sciences. Retrieved from http://works.bepress.com/donna_zucker/14 SenguptaPKinnebrewJSBasuSBiswasGClarkDIntegrating computational thinking with K-12 science education using agent-based computation: A theoretical frameworkEducation and Information Technologies201318235138010.1007/s10639-012-9240-x SchwarzCVReiserBJDavisEAKenyonLAchérAFortusDShwartzYHugBKrajcikJDeveloping a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learnersJournal of Research in Science Teaching200946663265410.1002/tea.20311 OsborneJTeaching scien SL Chu (10119_CR20) 2017 PS Oh (10119_CR82) 2011; 33 BC Buckley (10119_CR16) 2012 C Kim (10119_CR3) 2018; 46 P Sengupta (10119_CR111) 2013; 18 M Windschitl (10119_CR134) 2008; 92 PA Kirschner (10119_CR56) 1992; 1 JK Gilbert (10119_CR33) 2000 R Lehrer (10119_CR65) 2000; 21 SY Siegel (10119_CR112) 1957; 11 BK Hofer (10119_CR46) 2001; 13 10119_CR40 NM Seel (10119_CR110) 2017; 65 VL Akerson (10119_CR2) 2009; 20 D Bau (10119_CR8) 2017; 60 Y Kim (10119_CR54) 2018; 3 SW Gilbert (10119_CR34) 1991; 28 L Vasconcelos (10119_CR5) 2020; 48 WA Sandoval (10119_CR102) 2005; 89 J Cohen (10119_CR22) 1960; 20 GL Chiou (10119_CR19) 2010; 94 J Shen (10119_CR113) 2014 AG Harrison (10119_CR43) 2000; 22 10119_CR1 S Basu (10119_CR7) 2016 10119_CR39 M Cheng (10119_CR18) 2014; 13 10119_CR35 L Grosslight (10119_CR38) 1991; 28 S Grover (10119_CR41) 2013; 42 BR Belland (10119_CR9) 2014 TW Price (10119_CR90) 2015 C Wieman (10119_CR129) 2008; 322 J Saldaña (10119_CR99) 2016 10119_CR140 BC Buckley (10119_CR15) 2000; 22 GM Gaddis (10119_CR30) 1990; 19 10119_CR69 LK Smetana (10119_CR114) 2012; 34 E McCrum-Gardner (10119_CR71) 2008; 46 National Research Council (10119_CR79) 2012 M De Smet (10119_CR25) 2010; 59 NJ Nersessian (10119_CR80) 2008 S Papert (10119_CR86) 1980 BJ Reiser (10119_CR95) 2004; 13 M Renken (10119_CR96) 2016 N Holbert (10119_CR48) 2018 MI Hernández (10119_CR44) 2015; 24 A Tashakkori (10119_CR118) 1998 E Kim (10119_CR55) 2016 B Reinisch (10119_CR94) 2018; 48 L Xiang (10119_CR136) 2015; 24 TR Knapp (10119_CR57) 2010 CV Schwarz (10119_CR105) 2007; 91 B Crawford (10119_CR23) 2004; 26 10119_CR126 10119_CR127 L Kenyon (10119_CR53) 2011; 22 A Samarapungavan (10119_CR100) 2015 L Vasconcelos (10119_CR4) 2020; 68 RS Schwartz (10119_CR106) 2004; 88 A Webster-Wright (10119_CR125) 2009; 79 V Clarke (10119_CR21) 2013; 26 J Fereday (10119_CR27) 2006; 5 MH Wilkerson-Jerde (10119_CR132) 2015; 24 ME Fonteyn (10119_CR29) 1993; 3 R Lowe (10119_CR67) 2004; 14 Y Qian (10119_CR92) 2017; 18 NV Ivankova (10119_CR49) 2018; 10 B Namdar (10119_CR76) 2015; 37 10119_CR117 A Stammen (10119_CR116) 2018; 8 BR Belland (10119_CR11) 2017; 87 A Yadav (10119_CR137) 2017; 60 MH Wilkerson (10119_CR131) 2016; 27 10119_CR70 N Valanides (10119_CR123) 2008; 24 10119_CR72 M Krell (10119_CR61) 2016; 50 National Research Council (10119_CR78) 2000 S Papadakis (10119_CR85) 2016; 8 JW Creswell (10119_CR24) 2000; 39 K Kwon (10119_CR63) 2017; 1 JC Greene (10119_CR37) 2007 K Roulston (10119_CR98) 2010 V Plano Clark (10119_CR89) 2011 JM Morse (10119_CR75) 2002; 1 T Knuuttila (10119_CR58) 2009 LR Herrenkohl (10119_CR45) 2011; 29 M Krell (10119_CR62) 2012; 3 WA Sandoval (10119_CR103) 2004; 88 GJ Kelly (10119_CR52) 2012 NG Lederman (10119_CR64) 2001; 1 M Mladenović (10119_CR74) 2018; 23 CR Rinke (10119_CR97) 2016; 116 A Upmeier zu Belzen (10119_CR121) 2010; 16 S Spall (10119_CR115) 1998; 4 National Research Council (10119_CR77) 1996 MA Rea-Ramirez (10119_CR93) 2008 J Gouvea (10119_CR36) 2017; 26 RE Boyatzis (10119_CR13) 1998 Y Kafai (10119_CR50) 2012 ZC Zacharia (10119_CR139) 2007; 23 SJ Carrier (10119_CR17) 2011; 46 C Schwarz (10119_CR104) 2009; 93 CV Schwarz (10119_CR107) 2007; 18 M Windschitl (10119_CR133) 2008; 26 V Barr (10119_CR6) 2011; 2 J Lyle (10119_CR68) 2003; 29 C Teddlie (10119_CR119) 2006; 13 H Hokayem (10119_CR47) 2014; 12 MB Miles (10119_CR73) 2014 T Knuuttila (10119_CR59) 2011; 42 AJ Onwuegbuzie (10119_CR83) 2019; 11 10119_CR26 Z Zacharia (10119_CR138) 2003; 40 A Field (10119_CR28) 2013 M Kazempour (10119_CR51) 2014; 9 SJ Tracy (10119_CR120) 2010; 16 J Krajcik (10119_CR60) 2012; 79 CV Schwarz (10119_CR109) 2005; 23 U Wilensky (10119_CR130) 1999; 8 M Sandelowski (10119_CR101) 2009; 3 NGSS Lead States (10119_CR81) 2013 T Booth (10119_CR12) 2013 10119_CR91 J Wing (10119_CR135) 2006; 49 JH Van Driel (10119_CR124) 1999; 21 BR Belland (10119_CR10) 2017 P Galdas (10119_CR31) 2017; 16 N Valanides (10119_CR122) 2005; 21 CV Schwarz (10119_CR108) 2009; 46 J Osborne (10119_CR84) 2014; 25 AM Paul (10119_CR88) 2016; 35 J Gal-Ezer (10119_CR32) 2010; 1 C Passmore (10119_CR87) 2016 I Harel (10119_CR42) 1991 10119_CR14 L Leung (10119_CR66) 2015; 4 BY White (10119_CR128) 1998; 16
References_xml	– reference: WindschitlMThompsonJBraatenMHow novice science teachers appropriate epistemic discourses around model-based inquiry for use in classroomsCognition and Instruction200826331037810.1080/07370000802177193 – reference: FieldADiscovering statistics using IBM SPSS statistics: And sex and drugs and rock’n’roll20133Sage Publications – reference: RinkeCRGladstone-BrownWKinlawCRCappielloJCharacterizing STEM teacher education: Affordances and constraints of explicit STEM preparation for elementary teachersSchool Science and Mathematics2016116630030910.1111/ssm.12185 – reference: GouveaJPassmoreC‘Models of’ versus ‘models for’: Toward an agent-based conception of modeling in the science classroomScience & Education2017261–2496310.1007/s11191-017-9884-4 – reference: SandovalWAReiserBJExplanation-driven inquiry: Integrating conceptual and epistemic scaffolds for scientific inquiryScience Education200488334537210.1002/sce.10130 – reference: FonteynMEKuipersBGrobeSJA description of think aloud method and protocol analysisQualitative Health Research19933443044110.1177/104973239300300403 – reference: MorseJMBarrettMMayanMOlsonKSpiersJVerification strategies for establishing reliability and validity in qualitative researchInternational Journal of Qualitative Methods200212132210.1177/160940690200100202 – reference: SchwarzCVGwekwerereYNUsing a guided inquiry and modeling instructional framework (EIMA) to support pre-service K-8 science teachingScience Education2007911158186 – reference: GaldasPRevisiting bias in qualitative research: Reflections on its relationship with funding and impactInternational Journal of Qualitative Methods2017161210.1177/1609406917748992 – reference: KrellMKrügerDTesting models: A key aspect to promote teaching activities related to models and modelling in biology lessons?Journal of Biological Education201650216017310.1080/00219266.2015.1028570 – reference: HarrisonAGTreagustDFA typology of school science modelsInternational Journal of Science Education20002291011102610.1080/095006900416884 – reference: WilenskyUResnickMThinking in levels: A dynamic systems approach to making sense of the worldJournal of Science Education and Technology199981319 – reference: Brennan, K., & Resnick, M. (2012). New frameworks for studying and assessing the development of computational thinking. In Proceedings of the 2012 Annual Meeting of the American Educational Research Association, Vancouver, Canada, pp. 1–25. Retrieved from http://scratched.gse.harvard.edu/ct/files/AERA2012.pdf – reference: BarrVStephensonCBringing computational thinking to K-12: What is involved and what is the role of the computer science education community?ACM Inroads201121485410.1145/1929887.1929905 – reference: BoyatzisRETransforming qualitative information: Thematic analysis and code development1998Sage Publications – reference: Grover, S., Cooper, S., & Pea, R. (2014). Assessing computational learning in K-12. In Proceedings of the 2014 Conference on Innovation & Technology in Computer Science Education, pp. 57–62. https://doi.org/10.1145/2591708.2591713 – reference: National Research CouncilInquiry and the national science education standards: A guide for teaching and learning2000National Academies Press – reference: Project Growing Up Thinking Scientifically (GUTS). (n.d.). Retrieved from http://www.projectguts.org/resources – reference: ShenJLeiJChangHNamdarBSpectorJMMerrillMDElenJBishopMJTechnology-enhanced, modeling-based instruction (TMBI) in science educationHandbook of research on educational communications and technology2014Springer529540 – reference: SchwarzCVWhiteBYMetamodeling knowledge: Developing students’ understanding of scientific modelingCognition and Instruction200523216520510.1207/s1532690xci2302_1 – reference: WindschitlMThompsonJBraatenMBeyond the scientific method: Model-based inquiry as a new paradigm of preference for school science investigationsScience Education200892594196710.1002/sce.20259 – reference: KellyGJMcDonaldSWickmanPFraserBJTobinKMcRobbieCJScience learning and epistemologySecond international handbook of science education2012Springer281291 – reference: BuckleyBCInteractive multimedia and model-based learning in biologyInternational Journal of Science Education200022989593510.1080/095006900416848 – reference: FeredayJMuir-CochraneEDemonstrating rigor using thematic analysis: A hybrid approach of inductive and deductive coding and theme developmentInternational Journal of Qualitative Methods2006518092 – reference: HolbertNWilenskyUDesigning educational video games to be objects-to-think-withJournal of the Learning Sciences201810.1080/10508406.2018.1487302 – reference: KnuuttilaTModelling and representing: An artefactual approach to model-based representationStudies in History and Philosophy of Science201142226227110.1016/j.shpsa.2010.11.034 – reference: YadavAStephensonCHongHComputational thinking for teacher educationCommunications of the ACM20176045562 – reference: VasconcelosLKimCPreparing preservice teachers to use block-based coding in scientific modeling lessonsInstructional Science202048176579710.1007/s11251-020-09527-0 – reference: Zucker, D. M. (2009). How to do a case study. In Teaching research methods in the humanities and social sciences. Retrieved from http://works.bepress.com/donna_zucker/14/ – reference: HernándezMICousoDPintóRAnalyzing students’ learning progressions throughout a teaching sequence on acoustic properties of materials with a model-based inquiry approachJournal of Science Education and Technology2015242–335637710.1007/s10956-014-9503-y – reference: WiemanCAdamsWKPerkinsKKPhET: Simulations that enhance learningScience20083221682683 – reference: ZachariaZBeliefs, attitudes, and intentions of science teachers regarding the educational use of computer simulations and inquiry-based experiments in physicsJournal of Research in Science Teaching200340879282310.1002/tea.10112 – reference: National Research CouncilA framework for K-12 science education: Practices, crosscutting concepts, and core ideas2012The National Academies Press – reference: McCrum-GardnerEWhich is the correct statistical test to use?British Journal of Oral and Maxillofacial Surgery2008461384110.1016/j.bjoms.2007.09.002 – reference: ValanidesNAngeliCPreservice teachers as ICT designers: An instructional design model based on an expanded view of pedagogical content knowledgeJournal of Computer Assisted Learning2005214292302 – reference: KirschnerPAEpistemology, practical work and academic skills in science educationScience and Education19921327329910.1007/BF00430277 – reference: MladenovićMBoljatIŽankoŽComparing loops misconceptions in block-based and text-based programming languages at the K-12 levelEducation and Information Technologies20182311483150010.1007/s10639-017-9673-3 – reference: SaldañaJThe coding manual for qualitative researchers20162Sage – reference: Webster-WrightAReframing professional development through understanding authentic professional learningReview of Educational Research200979270273910.3102/0034654308330970 – reference: Grover, S., & Basu, S. (2017). Measuring student learning in introductory block-based programming: Examining misconceptions of loops, variables, and boolean logic. In Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education - SIGCSE ’17, pp. 267–272. https://doi.org/10.1145/3017680.3017723 – reference: KimEOliverJSJacksonDFConnecting the imperatives of STEM, NGSS, deep learning and assessment: A conceptual paper2016National Association for Research in Science Teaching – reference: SenguptaPKinnebrewJSBasuSBiswasGClarkDIntegrating computational thinking with K-12 science education using agent-based computation: A theoretical frameworkEducation and Information Technologies201318235138010.1007/s10639-012-9240-x – reference: BuckleyBCSeelNMModel-based learningEncyclopedia of the sciences of learning2012Springer23002303 – reference: SeelNMModel-based learning: A synthesis of theory and researchEducational Technology Research and Development201765493196610.1007/s11423-016-9507-9 – reference: ZachariaZCComparing and combining real and virtual experimentation: An effort to enhance students’ conceptual understanding of electric circuitsJournal of Computer Assisted Learning200723212013210.1111/j.1365-2729.2006.00215.x – reference: PassmoreCSchwarzCVMankowskiJSchwarzCVPassmoreCReiserBJDeveloping and using modelsHelping students make sense of the world using next generation science and engineering practices2016NSTA Press109134 – reference: PapadakisSKalogiannakisMZaranisNOrfanakisVUsing scratch and app inventor for teaching introductory programming in secondary education. A case studyInternational Journal of Technology Enhanced Learning201683/421723310.1504/IJTEL.2016.10001505 – reference: CohenJA coefficient of agreement for nominal scalesEducational and Psychological Measurement1960201374610.1177/001316446002000104 – reference: KwonKStudent’s misconception of programming reflected on problem-solving plansInternational Journal of Computer Science Education in Schools2017141410.21585/ijcses.v1i4.19 – reference: NersessianNJCreating scientific concepts2008MIT Press – reference: SandovalWAUnderstanding students’ practical epistemologies and their influence on learning through inquiryScience Education200589463465610.1002/sce.20065 – reference: IvankovaNVHerbeyIIRousselLATheory and practice of using mixed methods in translational research: A cross-disciplinary perspectiveInternational Journal of Multiple Research Approaches201810135637210.29034/ijmra.v10n1a24 – reference: Gal-EzerJStephensonCComputer science teacher preparation is criticalACM Inroads2010116166 – reference: ChengMLinJChangYLiHWuTLinDDeveloping explanatory models of magnetic phenomena through model-based inquiryJournal of Baltic Science Education2014133351360 – reference: NamdarBShenJModeling-oriented assessment in K-12 science education: A synthesis of research from 1980 to 2013 and new directionsInternational Journal of Science Education2015377993102310.1080/09500693.2015.1012185 – reference: ValanidesNAngeliCLearning and teaching about scientific models with a computer-modeling toolComputers in Human Behavior200824222023310.1016/j.chb.2007.01.005 – reference: Weintrop, D. (2015). Blocks, text, and the space between: The role of representations in novice programming environments. In 2015 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), pp. 301–302. – reference: BellandBRWalkerAEKimNJLeflerMSynthesizing results from empirical research on computer-based scaffolding in STEM education a meta-analysisReview of Educational Research201787230934410.3102/0034654316670999 – reference: KazempourMAmirshokoohiATransitioning to inquiry-based teaching: Exploring science teachers’ professional development experiencesInternational Journal of Environmental & Science Education201491285309 – reference: SchwartzRSLedermanNGCrawfordBADeveloping views of nature of science in an authentic context: An explicit approach to bridging the gap between nature of science and scientific inquiryScience Education200488461064510.1002/sce.10128 – reference: CarrierSJImplementing and integrating effective teaching strategies including features of lesson study in an elementary science methods courseThe Teacher Educator201146214516010.1080/08878730.2011.552666 – reference: ClarkeVBraunVTeaching thematic analysis: Overcoming challenges and developing strategies for effective learningThe Psychologist2013262120123 – reference: HoferBKPersonal epistemological research: Implications for learning and teachingJournal of Educational Psychology Review2001131353383 – reference: Mannila, L., Dagiene, V., Demo, B., Grgurina, N., Mirolo, C., Rolandsson, L., & Settle, A. (2014). Computational thinking in K-9 education. In Proceedings of the Working Group Reports of the 2014 on Innovation & Technology in Computer Science Education Conference, pp. 1–29. https://doi.org/10.1145/2713609.2713610 – reference: Merrill, S. (2017, December 7). The future of coding in schools. Edutopia. Retrieved from https://www.edutopia.org/article/future-coding-schools – reference: De SmetMVan KeerHDe WeverBValckeMStudying thought processes of online peer tutors through stimulated-recall interviewsHigher Education201059564566110.1007/s10734-009-9273-2 – reference: KrajcikJMerrittJEngaging students in scientific practices: What does constructing and revising models look like in the science classroom?The Science Teacher20127933841 – reference: KrellMUpmeier zu BelzenAKrügerDStudents’ understanding of the purpose of models in different biological contextsInternational Journal of Biology Education201231a134 – reference: SchwarzCVMeyerJSharmaATechnology, pedagogy, and epistemology: Opportunities and challenges of using computer modeling and simulation tools in elementary science methodsJournal of Science Teacher Education200718224326910.1007/s10972-007-9039-6 – reference: SamarapungavanATippinsDBryanLTrundleKCSaçkesMA modeling-based inquiry framework for early childhood science learningResearch in early childhood science education2015Springer259277 – reference: BoothTStumpfSDittrichYBurnettMMørchARedmilesDEnd-user experiences of visual and textual programming environments for ArduinoEnd-user development2013Springer2539 – reference: PaulAMThe coding revolutionScientific American2016351424910.1038/scientificamerican0816-42 – reference: Demuth, C. (2013). Ensuring rigor in qualitative research within the field of cross-cultural psychology. In Y. Kashima, E. S. Kashima, & R. Beatson (Eds.), Steering the cultural dynamics: Selected papers from the 2010 Congress of the International Association for Cross-Cultural Psychology (p. 8). Retrieved from https://scholarworks.gvsu.edu/iaccp_papers/109/ – reference: GilbertJKBoulterCJDeveloping models in science education2000Kluwer Academic Publishers – reference: LeungLValidity, reliability, and generalizability in qualitative researchJournal of Family Medicine and Primary Care20154432432710.4103/2F2249-4863.161306 – reference: LyleJStimulated recall: A report on its use in naturalistic researchBritish Educational Research Journal200329686187810.1080/0141192032000137349 – reference: Weiss, I. R., & Pasley, J. D. (2006). Scaling up instructional improvement through teacher professional development: Insights from the local systemic change initiative. CPRE Policy Briefs. Retrieved from https://repository.upenn.edu/cpre_policybriefs/32 – reference: SiegelSYNonparametric statisticsThe American Statistician1957113131910.2307/2685679 – reference: GaddisGMGaddisMLIntroduction to biostatistics: Part 5, statistical inference techniques for hypothesis testing with nonparametric dataAnnals of Emergency Medicine19901991054105910.1016/S0196-0644(05)82571-5 – reference: Maiorana, F., Berry, M., Nelson, M., Lucarelli, C., Phillipps, M., Mishra, S., & Benassi, A. (2017). International perspectives on CS teacher formation and professional development. pp. 236–237. https://doi.org/10.1145/3059009.3059067 – reference: Van DrielJHVerloopNTeachers’ knowledge of models and modelling in scienceInternational Journal of Science Education1999211111411153 – reference: XiangLPassmoreCA framework for model-based inquiry through agent-based programmingJournal of Science Education and Technology201524131132910.1007/s10956-014-9534-4 – reference: NGSS Lead StatesNext generation science standards: For states, by states2013National Academies Press – reference: TashakkoriATeddlieCMixed methodology: Combining qualitative and quantitative approaches1998Sage Publications – reference: PriceTWBarnesTComparing textual and block interfaces in a novice programming environmentProceedings of the Eleventh Annual International Computing Education Research201510.1145/2787622.2787712 – reference: WingJComputational thinkingCommunications of the ACM20064933335 – reference: BellandBRSpectorJMMerillMDElenJBishopMJScaffolding: Definition, current debates, and future directionsHandbook of research on educational communications and technology20144Springer505518 – reference: OhPSOhSJWhat teachers of science need to know about models: An overviewInternational Journal of Science Education20113381109113010.1080/09500693.2010.502191 – reference: KimYOliverJSSupporting preservice teachers’ use of modeling: Building a water purifierInnovations in Science Teacher Education201831114 – reference: OnwuegbuzieAJLeechNLOn qualitizingInternational Journal of Multiple Research Approaches20191129813110.29034/ijmra.v11n2editorial2 – reference: Plano ClarkVCreswellJWDesigning and conducting mixed methods research20112Sage Publications – reference: Rea-RamirezMAClementJNúñez-OviedoMCClementJRea-RamirezMAAn instructional model derived from model construction and criticism theoryModel based learning and instruction in science2008Springer2343 – reference: Swidan, A., Hermans, F., & Smit, M. (2018). Programming misconceptions for school students. In Proceedings of the 2018 ACM Conference on International Computing Education Research - ICER ’18, pp. 151–159. https://doi.org/10.1145/3230977.3230995 – reference: HokayemHSchwarzCEngaging fifth graders in scientific modeling to learn about evaporation and condensationInternational Journal of Science and Mathematics Education2014121497210.1007/s10763-012-9395-3 – reference: GroverSPeaRComputational thinking in K-12: A review of the state of the fieldEducational Researcher2013421384310.3102/0013189X12463051 – reference: OsborneJTeaching scientific practices: Meeting the challenge of changeJournal of Science Teacher Education201425217719610.1007/s10972-014-9384-1 – reference: AkersonVLTownsendJSDonnellyLAHansonDLTiraPWhiteOScientific modeling for inquiring teachers network (SMIT’N): The influence on elementary teachers’ views of nature of science, inquiry, and modelingJournal of Science Teacher Education2009201214010.1007/s10972-008-9116-5 – reference: BauDGrayJKelleherCSheldonJTurbakFLearnable programming: Blocks and beyondCommunications of the ACM20176067280 – reference: SchwarzCDeveloping preservice elementary teachers’ knowledge and practices through modeling-centered scientific inquiryScience Education200993472074410.1002/sce.20324 – reference: QianYLehmanJStudents’ misconceptions and other difficulties in introductory programming: A literature reviewACM Transactions on Computing Education201718112410.1145/3077618 – reference: National Research CouncilNational science education standards: Observe, interact, change, learn1996National Academies Press – reference: Wilkerson-JerdeMHGravelBHMacranderCAExploring shifts in middle school learners’ modeling activity while generating drawings, animations, and computational simulations of molecular diffusionJournal of Science Education and Technology20152439641510.1007/s10956-014-9497-5 – reference: Upmeier zu BelzenAKrügerDModellkompetenz im Biologieunterricht [Model competence in biology teaching]Zeitschrift Für Didaktik Der Naturwissenschaften2010164157 – reference: PapertSMindstorms: Children, computers, and powerful ideas1980Basic Books – reference: RenkenMPefferMOtrel-CassKGiraultIChioccarielloASimulations as scaffolds in science education2016Springer – reference: GreeneJCMixed methods in social inquiry2007Jossey-Bass – reference: Google, & Gallup. (2015). Images of computer science: Perceptions among students, parents and educators in the U.S. Retrieved from http://g.co/cseduresearch – reference: ReiserBJScaffolding complex learning: The mechanisms of structuring and problematizing student workThe Journal of the Learning Sciences2004133273304 – reference: SpallSPeer debriefing in qualitative research: Emerging operational modelsQualitative Inquiry19984228029210.1177/107780049800400208 – reference: CreswellJWMillerDLDetermining validity in qualitative inquiryTheory into Practice200039312413010.1207/s15430421tip3903_2 – reference: GilbertSWModel building and a definition of scienceJournal of Research in Science Teaching1991281737910.1002/tea.3660280107 – reference: HarelIPapertSConstructionism: Research reports and essays, 1985–19901991Ablex Publishing – reference: SchwarzCVReiserBJDavisEAKenyonLAchérAFortusDShwartzYHugBKrajcikJDeveloping a learning progression for scientific modeling: Making scientific modeling accessible and meaningful for learnersJournal of Research in Science Teaching200946663265410.1002/tea.20311 – reference: LehrerRSchaubleLDeveloping model-based reasoning in mathematics and scienceJournal of Applied Developmental Psychology2000211394810.1016/S0193-3973(99)00049-0 – reference: KnuuttilaTSome consequences of the pragmatic approach to representation: Decoupling the model-target dyad and indirect reasoningProceedings of the Founding Conference of European Philosophy of Science Association200910.1007/978-90-481-3263-8_12 – reference: LedermanNGSchwartzRSAbd-El-KhalickFBellRLPreservice teachers’ understanding and teaching of the nature of science: An intervention studyThe Canadian Journal of Science, Mathematics, and Technology Education200112135160 – reference: MilesMBHubermanAMSaldañaJQualitative data analysis: A methods sourcebook20143Sage – reference: KimCYuanJVasconcelosLShinMHillRDebugging during block-based programmingInstructional Science201846576778710.1007/s11251-018-9453-5 – reference: TracySJQualitative quality: Eight “big-tent” criteria for excellent qualitative researchQualitative Inquiry2010161083785110.1177/1077800410383121 – reference: BellandBRInstructional scaffolding in STEM education2017Springer International Publishing – reference: ReinischBKrügerDPreservice biology teachers’ conceptions about the tentative nature of theories and models in biologyResearch in Science Education20184817110310.1007/s11165-016-9559-1 – reference: ChiouGLAndersonORA study of undergraduate students understanding of heat conduction based on mental model theory and an ontology-process analysisScience Education2010945825854 – reference: WhiteBYFrederiksenJRInquiry, modeling, and metacognition: Making science accessible to all studentsCognition and Instruction1998161311810.1207/s1532690xci1601_2 – reference: HerrenkohlLRTaskerTWhiteBPedagogical practices to support classroom cultures of scientific inquiryCognition and Instruction201129114410.1080/07370008.2011.534309 – reference: KafaiYSawyerRKConstructionismThe Cambridge handbook of the learning sciences2012Cambridge University Press3546 – reference: WilkersonMHAndrewsCShabanYLainaVGravelBEWhat’s the technology for? Teacher attention and pedagogical goals in a modeling-focused professional development workshopJournal of Science Teacher Education2016271113310.1007/s10972-016-9453-8 – reference: Aivaloglou, E., & Hermans, F. (2016). How kids code and how we know: An exploratory study on the Scratch repository. In Proceedings of the 2016 ACM Conference on International Computing Education Research, pp. 53–61. https://doi.org/10.1145/2960310.2960325 – reference: SandelowskiMVoilsCIKnaflGOn quantitizingJournal of Mixed Methods Research20093320822210.1177/1558689809334210 – reference: ChuSLDeuermeyerEQuekFSupporting scientific modeling through curriculum-based making in elementary school science classesInternational Journal of Child-Computer Interaction201710.1016/j.ijcci.2017.09.002 – reference: SmetanaLKBellRLComputer simulations to support science instruction and learning: A critical review of the literatureInternational Journal of Science Education20123491337137010.1080/09500693.2011.605182 – reference: CrawfordBCullinMSupporting perspective teachers’ conceptions of modeling in scienceInternational Journal of Science Education2004261113791401 – reference: RoulstonKReflective interviewing: A guide to theory and practice2010Sage – reference: StammenAMaloneKIrvingKEffects of modeling instruction professional development on biology teachers’ scientific reasoning skillsEducation Sciences20188311910.3390/educsci8030119 – reference: KenyonLDavisEAHugBDesign approaches to support preservice teachers in scientific modelingJournal of Science Teacher Education201122112110.1007/s10972-010-9225-9 – reference: BasuSFostering synergistic learning of computational thinking and middle school science in computer-based intelligent learning environments2016Vanderbilt University – reference: VasconcelosLKimCCoding in scientific modeling lessons (CS-ModeL)Educational Technology Research and Development20206831247127310.1007/s11423-019-09724-w – reference: TeddlieCTashakkoriAA general typology of research designs featuring mixed methodsResearch in the Schools20061311228 – reference: GrosslightLUngerCJayESmithCLUnderstanding models and their use in science: Conceptions of middle and high school students and expertsJournal of Research in Science Teaching1991281737910.1002/tea.3660280907 – reference: LoweRInterrogation of a dynamic visualization during learningLearning and Instruction200414325727410.1016/j.learninstruc.2004.06.003 – reference: KnappTRMuellerROHancockGRMuellerROReliability and validity of instrumentsThe reviewer’s guide to quantitative methods in the social sciences2010Routledge337341 – volume: 8 start-page: 3 issue: 1 year: 1999 ident: 10119_CR130 publication-title: Journal of Science Education and Technology doi: 10.1023/A:1009421303064 – volume: 13 start-page: 12 issue: 1 year: 2006 ident: 10119_CR119 publication-title: Research in the Schools – volume: 29 start-page: 861 issue: 6 year: 2003 ident: 10119_CR68 publication-title: British Educational Research Journal doi: 10.1080/0141192032000137349 – ident: 10119_CR70 doi: 10.1145/2713609.2713610 – volume: 21 start-page: 1141 issue: 11 year: 1999 ident: 10119_CR124 publication-title: International Journal of Science Education doi: 10.1080/095006999290110 – volume: 60 start-page: 72 issue: 6 year: 2017 ident: 10119_CR8 publication-title: Communications of the ACM doi: 10.1145/3015455 – volume: 88 start-page: 345 issue: 3 year: 2004 ident: 10119_CR103 publication-title: Science Education doi: 10.1002/sce.10130 – volume: 33 start-page: 1109 issue: 8 year: 2011 ident: 10119_CR82 publication-title: International Journal of Science Education doi: 10.1080/09500693.2010.502191 – volume: 20 start-page: 37 issue: 1 year: 1960 ident: 10119_CR22 publication-title: Educational and Psychological Measurement doi: 10.1177/001316446002000104 – volume: 19 start-page: 1054 issue: 9 year: 1990 ident: 10119_CR30 publication-title: Annals of Emergency Medicine doi: 10.1016/S0196-0644(05)82571-5 – volume-title: Mixed methods in social inquiry year: 2007 ident: 10119_CR37 – volume: 88 start-page: 610 issue: 4 year: 2004 ident: 10119_CR106 publication-title: Science Education doi: 10.1002/sce.10128 – volume: 18 start-page: 243 issue: 2 year: 2007 ident: 10119_CR107 publication-title: Journal of Science Teacher Education doi: 10.1007/s10972-007-9039-6 – volume: 37 start-page: 993 issue: 7 year: 2015 ident: 10119_CR76 publication-title: International Journal of Science Education doi: 10.1080/09500693.2015.1012185 – volume: 46 start-page: 767 issue: 5 year: 2018 ident: 10119_CR3 publication-title: Instructional Science doi: 10.1007/s11251-018-9453-5 – volume: 116 start-page: 300 issue: 6 year: 2016 ident: 10119_CR97 publication-title: School Science and Mathematics doi: 10.1111/ssm.12185 – volume: 26 start-page: 310 issue: 3 year: 2008 ident: 10119_CR133 publication-title: Cognition and Instruction doi: 10.1080/07370000802177193 – volume: 34 start-page: 1337 issue: 9 year: 2012 ident: 10119_CR114 publication-title: International Journal of Science Education doi: 10.1080/09500693.2011.605182 – volume: 29 start-page: 1 issue: 1 year: 2011 ident: 10119_CR45 publication-title: Cognition and Instruction doi: 10.1080/07370008.2011.534309 – volume-title: Reflective interviewing: A guide to theory and practice year: 2010 ident: 10119_CR98 doi: 10.4135/9781446288009 – volume: 16 start-page: 3 issue: 1 year: 1998 ident: 10119_CR128 publication-title: Cognition and Instruction doi: 10.1207/s1532690xci1601_2 – ident: 10119_CR126 doi: 10.1109/VLHCC.2015.7357237 – year: 2017 ident: 10119_CR20 publication-title: International Journal of Child-Computer Interaction doi: 10.1016/j.ijcci.2017.09.002 – volume: 16 start-page: 1 year: 2017 ident: 10119_CR31 publication-title: International Journal of Qualitative Methods doi: 10.1177/1609406917748992 – volume: 3 start-page: 1 issue: 1 year: 2018 ident: 10119_CR54 publication-title: Innovations in Science Teacher Education – volume: 18 start-page: 1 issue: 1 year: 2017 ident: 10119_CR92 publication-title: ACM Transactions on Computing Education doi: 10.1145/3077618 – volume-title: Inquiry and the national science education standards: A guide for teaching and learning year: 2000 ident: 10119_CR78 – ident: 10119_CR40 doi: 10.1145/2591708.2591713 – volume: 65 start-page: 931 issue: 4 year: 2017 ident: 10119_CR110 publication-title: Educational Technology Research and Development doi: 10.1007/s11423-016-9507-9 – volume-title: Simulations as scaffolds in science education year: 2016 ident: 10119_CR96 doi: 10.1007/978-3-319-24615-4 – start-page: 529 volume-title: Handbook of research on educational communications and technology year: 2014 ident: 10119_CR113 doi: 10.1007/978-1-4614-3185-5_41 – volume: 39 start-page: 124 issue: 3 year: 2000 ident: 10119_CR24 publication-title: Theory into Practice doi: 10.1207/s15430421tip3903_2 – volume: 23 start-page: 1483 issue: 1 year: 2018 ident: 10119_CR74 publication-title: Education and Information Technologies doi: 10.1007/s10639-017-9673-3 – start-page: 109 volume-title: Helping students make sense of the world using next generation science and engineering practices year: 2016 ident: 10119_CR87 – volume: 9 start-page: 285 issue: 1 year: 2014 ident: 10119_CR51 publication-title: International Journal of Environmental & Science Education – volume: 22 start-page: 895 issue: 9 year: 2000 ident: 10119_CR15 publication-title: International Journal of Science Education doi: 10.1080/095006900416848 – volume: 1 start-page: 273 issue: 3 year: 1992 ident: 10119_CR56 publication-title: Science and Education doi: 10.1007/BF00430277 – ident: 10119_CR127 doi: 10.12698/cpre.2006.rb44 – start-page: 337 volume-title: The reviewer’s guide to quantitative methods in the social sciences year: 2010 ident: 10119_CR57 – volume: 46 start-page: 145 issue: 2 year: 2011 ident: 10119_CR17 publication-title: The Teacher Educator doi: 10.1080/08878730.2011.552666 – volume: 92 start-page: 941 issue: 5 year: 2008 ident: 10119_CR134 publication-title: Science Education doi: 10.1002/sce.20259 – volume: 21 start-page: 292 issue: 4 year: 2005 ident: 10119_CR122 publication-title: Journal of Computer Assisted Learning doi: 10.1111/j.1365-2729.2005.00135.x – volume: 59 start-page: 645 issue: 5 year: 2010 ident: 10119_CR25 publication-title: Higher Education doi: 10.1007/s10734-009-9273-2 – volume-title: Qualitative data analysis: A methods sourcebook year: 2014 ident: 10119_CR73 – volume: 48 start-page: 71 issue: 1 year: 2018 ident: 10119_CR94 publication-title: Research in Science Education doi: 10.1007/s11165-016-9559-1 – start-page: 35 volume-title: The Cambridge handbook of the learning sciences year: 2012 ident: 10119_CR50 – start-page: 259 volume-title: Research in early childhood science education year: 2015 ident: 10119_CR100 doi: 10.1007/978-94-017-9505-0_12 – volume-title: The coding manual for qualitative researchers year: 2016 ident: 10119_CR99 – volume: 22 start-page: 1011 issue: 9 year: 2000 ident: 10119_CR43 publication-title: International Journal of Science Education doi: 10.1080/095006900416884 – start-page: 25 volume-title: End-user development year: 2013 ident: 10119_CR12 doi: 10.1007/978-3-642-38706-7_4 – ident: 10119_CR14 – volume: 8 start-page: 1 issue: 3 year: 2018 ident: 10119_CR116 publication-title: Education Sciences doi: 10.3390/educsci8030119 – start-page: 505 volume-title: Handbook of research on educational communications and technology year: 2014 ident: 10119_CR9 doi: 10.1007/978-1-4614-3185-5_39 – ident: 10119_CR26 doi: 10.4087/FIKP8993 – year: 2018 ident: 10119_CR48 publication-title: Journal of the Learning Sciences doi: 10.1080/10508406.2018.1487302 – ident: 10119_CR140 – volume: 1 start-page: 13 issue: 2 year: 2002 ident: 10119_CR75 publication-title: International Journal of Qualitative Methods doi: 10.1177/160940690200100202 – volume: 79 start-page: 38 issue: 3 year: 2012 ident: 10119_CR60 publication-title: The Science Teacher – volume: 93 start-page: 720 issue: 4 year: 2009 ident: 10119_CR104 publication-title: Science Education doi: 10.1002/sce.20324 – volume: 89 start-page: 634 issue: 4 year: 2005 ident: 10119_CR102 publication-title: Science Education doi: 10.1002/sce.20065 – volume: 2 start-page: 48 issue: 1 year: 2011 ident: 10119_CR6 publication-title: ACM Inroads doi: 10.1145/1929887.1929905 – volume: 23 start-page: 165 issue: 2 year: 2005 ident: 10119_CR109 publication-title: Cognition and Instruction doi: 10.1207/s1532690xci2302_1 – ident: 10119_CR39 doi: 10.1145/3017680.3017723 – volume: 21 start-page: 39 issue: 1 year: 2000 ident: 10119_CR65 publication-title: Journal of Applied Developmental Psychology doi: 10.1016/S0193-3973(99)00049-0 – volume: 4 start-page: 280 issue: 2 year: 1998 ident: 10119_CR115 publication-title: Qualitative Inquiry doi: 10.1177/107780049800400208 – volume: 26 start-page: 1379 issue: 11 year: 2004 ident: 10119_CR23 publication-title: International Journal of Science Education doi: 10.1080/09500690410001673775 – volume: 26 start-page: 120 issue: 2 year: 2013 ident: 10119_CR21 publication-title: The Psychologist – volume: 40 start-page: 792 issue: 8 year: 2003 ident: 10119_CR138 publication-title: Journal of Research in Science Teaching doi: 10.1002/tea.10112 – volume-title: Designing and conducting mixed methods research year: 2011 ident: 10119_CR89 – volume: 16 start-page: 41 year: 2010 ident: 10119_CR121 publication-title: Zeitschrift Für Didaktik Der Naturwissenschaften – volume: 11 start-page: 98 issue: 2 year: 2019 ident: 10119_CR83 publication-title: International Journal of Multiple Research Approaches doi: 10.29034/ijmra.v11n2editorial2 – volume-title: Fostering synergistic learning of computational thinking and middle school science in computer-based intelligent learning environments year: 2016 ident: 10119_CR7 – volume: 48 start-page: 765 issue: 1 year: 2020 ident: 10119_CR5 publication-title: Instructional Science doi: 10.1007/s11251-020-09527-0 – ident: 10119_CR69 doi: 10.1145/3059009.3059067 – volume: 49 start-page: 33 issue: 3 year: 2006 ident: 10119_CR135 publication-title: Communications of the ACM doi: 10.1145/1118178.1118215 – year: 2009 ident: 10119_CR58 publication-title: Proceedings of the Founding Conference of European Philosophy of Science Association doi: 10.1007/978-90-481-3263-8_12 – volume: 3 start-page: 430 issue: 4 year: 1993 ident: 10119_CR29 publication-title: Qualitative Health Research doi: 10.1177/104973239300300403 – volume-title: Instructional scaffolding in STEM education year: 2017 ident: 10119_CR10 doi: 10.1007/978-3-319-02565-0 – volume: 3 start-page: 208 issue: 3 year: 2009 ident: 10119_CR101 publication-title: Journal of Mixed Methods Research doi: 10.1177/1558689809334210 – volume: 11 start-page: 13 issue: 3 year: 1957 ident: 10119_CR112 publication-title: The American Statistician doi: 10.2307/2685679 – volume: 1 start-page: 14 issue: 4 year: 2017 ident: 10119_CR63 publication-title: International Journal of Computer Science Education in Schools doi: 10.21585/ijcses.v1i4.19 – volume: 23 start-page: 120 issue: 2 year: 2007 ident: 10119_CR139 publication-title: Journal of Computer Assisted Learning doi: 10.1111/j.1365-2729.2006.00215.x – volume: 35 start-page: 42 issue: 1 year: 2016 ident: 10119_CR88 publication-title: Scientific American doi: 10.1038/scientificamerican0816-42 – volume: 14 start-page: 257 issue: 3 year: 2004 ident: 10119_CR67 publication-title: Learning and Instruction doi: 10.1016/j.learninstruc.2004.06.003 – volume: 13 start-page: 273 issue: 3 year: 2004 ident: 10119_CR95 publication-title: The Journal of the Learning Sciences doi: 10.1207/s15327809jls1303_2 – volume: 10 start-page: 356 issue: 1 year: 2018 ident: 10119_CR49 publication-title: International Journal of Multiple Research Approaches doi: 10.29034/ijmra.v10n1a24 – volume: 16 start-page: 837 issue: 10 year: 2010 ident: 10119_CR120 publication-title: Qualitative Inquiry doi: 10.1177/1077800410383121 – volume: 1 start-page: 61 issue: 1 year: 2010 ident: 10119_CR32 publication-title: ACM Inroads doi: 10.1145/1721933.1721953 – volume: 24 start-page: 356 issue: 2–3 year: 2015 ident: 10119_CR44 publication-title: Journal of Science Education and Technology doi: 10.1007/s10956-014-9503-y – volume: 20 start-page: 21 issue: 1 year: 2009 ident: 10119_CR2 publication-title: Journal of Science Teacher Education doi: 10.1007/s10972-008-9116-5 – volume: 87 start-page: 309 issue: 2 year: 2017 ident: 10119_CR11 publication-title: Review of Educational Research doi: 10.3102/0034654316670999 – volume: 24 start-page: 220 issue: 2 year: 2008 ident: 10119_CR123 publication-title: Computers in Human Behavior doi: 10.1016/j.chb.2007.01.005 – volume: 5 start-page: 80 issue: 1 year: 2006 ident: 10119_CR27 publication-title: International Journal of Qualitative Methods doi: 10.1177/160940690600500107 – volume: 42 start-page: 38 issue: 1 year: 2013 ident: 10119_CR41 publication-title: Educational Researcher doi: 10.3102/0013189X12463051 – volume: 8 start-page: 217 issue: 3/4 year: 2016 ident: 10119_CR85 publication-title: International Journal of Technology Enhanced Learning doi: 10.1504/IJTEL.2016.10001505 – volume: 12 start-page: 49 issue: 1 year: 2014 ident: 10119_CR47 publication-title: International Journal of Science and Mathematics Education doi: 10.1007/s10763-012-9395-3 – volume-title: Constructionism: Research reports and essays, 1985–1990 year: 1991 ident: 10119_CR42 – start-page: 23 volume-title: Model based learning and instruction in science year: 2008 ident: 10119_CR93 doi: 10.1007/978-1-4020-6494-4_2 – volume-title: Mindstorms: Children, computers, and powerful ideas year: 1980 ident: 10119_CR86 – year: 2015 ident: 10119_CR90 publication-title: Proceedings of the Eleventh Annual International Computing Education Research doi: 10.1145/2787622.2787712 – volume: 46 start-page: 632 issue: 6 year: 2009 ident: 10119_CR108 publication-title: Journal of Research in Science Teaching doi: 10.1002/tea.20311 – volume: 3 start-page: 1 issue: 1a year: 2012 ident: 10119_CR62 publication-title: International Journal of Biology Education – volume: 25 start-page: 177 issue: 2 year: 2014 ident: 10119_CR84 publication-title: Journal of Science Teacher Education doi: 10.1007/s10972-014-9384-1 – volume: 322 start-page: 682 issue: 1 year: 2008 ident: 10119_CR129 publication-title: Science doi: 10.1126/science.1161948 – volume-title: A framework for K-12 science education: Practices, crosscutting concepts, and core ideas year: 2012 ident: 10119_CR79 – volume: 24 start-page: 396 year: 2015 ident: 10119_CR132 publication-title: Journal of Science Education and Technology doi: 10.1007/s10956-014-9497-5 – start-page: 2300 volume-title: Encyclopedia of the sciences of learning year: 2012 ident: 10119_CR16 doi: 10.1007/978-1-4419-1428-6_589 – ident: 10119_CR72 – volume-title: Discovering statistics using IBM SPSS statistics: And sex and drugs and rock’n’roll year: 2013 ident: 10119_CR28 – volume-title: Transforming qualitative information: Thematic analysis and code development year: 1998 ident: 10119_CR13 – start-page: 281 volume-title: Second international handbook of science education year: 2012 ident: 10119_CR52 doi: 10.1007/978-1-4020-9041-7_20 – volume-title: Connecting the imperatives of STEM, NGSS, deep learning and assessment: A conceptual paper year: 2016 ident: 10119_CR55 – volume: 79 start-page: 702 issue: 2 year: 2009 ident: 10119_CR125 publication-title: Review of Educational Research doi: 10.3102/0034654308330970 – volume-title: Creating scientific concepts year: 2008 ident: 10119_CR80 doi: 10.7551/mitpress/7967.001.0001 – volume: 22 start-page: 1 issue: 1 year: 2011 ident: 10119_CR53 publication-title: Journal of Science Teacher Education doi: 10.1007/s10972-010-9225-9 – volume: 42 start-page: 262 issue: 2 year: 2011 ident: 10119_CR59 publication-title: Studies in History and Philosophy of Science doi: 10.1016/j.shpsa.2010.11.034 – volume: 91 start-page: 158 issue: 1 year: 2007 ident: 10119_CR105 publication-title: Science Education doi: 10.1002/sce.20177 – volume: 13 start-page: 353 issue: 1 year: 2001 ident: 10119_CR46 publication-title: Journal of Educational Psychology Review doi: 10.1023/A:1011965830686 – volume-title: Developing models in science education year: 2000 ident: 10119_CR33 doi: 10.1007/978-94-010-0876-1 – volume: 26 start-page: 49 issue: 1–2 year: 2017 ident: 10119_CR36 publication-title: Science & Education doi: 10.1007/s11191-017-9884-4 – volume: 46 start-page: 38 issue: 1 year: 2008 ident: 10119_CR71 publication-title: British Journal of Oral and Maxillofacial Surgery doi: 10.1016/j.bjoms.2007.09.002 – volume-title: Mixed methodology: Combining qualitative and quantitative approaches year: 1998 ident: 10119_CR118 – volume-title: National science education standards: Observe, interact, change, learn year: 1996 ident: 10119_CR77 – volume: 28 start-page: 73 issue: 1 year: 1991 ident: 10119_CR38 publication-title: Journal of Research in Science Teaching doi: 10.1002/tea.3660280907 – volume: 4 start-page: 324 issue: 4 year: 2015 ident: 10119_CR66 publication-title: Journal of Family Medicine and Primary Care doi: 10.4103/2F2249-4863.161306 – volume-title: Next generation science standards: For states, by states year: 2013 ident: 10119_CR81 – ident: 10119_CR91 – volume: 1 start-page: 135 issue: 2 year: 2001 ident: 10119_CR64 publication-title: The Canadian Journal of Science, Mathematics, and Technology Education doi: 10.1080/14926150109556458 – ident: 10119_CR117 doi: 10.1145/3230977.3230995 – volume: 60 start-page: 55 issue: 4 year: 2017 ident: 10119_CR137 publication-title: Communications of the ACM doi: 10.1145/2994591 – volume: 28 start-page: 73 issue: 1 year: 1991 ident: 10119_CR34 publication-title: Journal of Research in Science Teaching doi: 10.1002/tea.3660280107 – ident: 10119_CR35 – volume: 18 start-page: 351 issue: 2 year: 2013 ident: 10119_CR111 publication-title: Education and Information Technologies doi: 10.1007/s10639-012-9240-x – ident: 10119_CR1 doi: 10.1145/2960310.2960325 – volume: 68 start-page: 1247 issue: 3 year: 2020 ident: 10119_CR4 publication-title: Educational Technology Research and Development doi: 10.1007/s11423-019-09724-w – volume: 94 start-page: 825 issue: 5 year: 2010 ident: 10119_CR19 publication-title: Science Education doi: 10.1002/sce.20385 – volume: 24 start-page: 311 issue: 1 year: 2015 ident: 10119_CR136 publication-title: Journal of Science Education and Technology doi: 10.1007/s10956-014-9534-4 – volume: 50 start-page: 160 issue: 2 year: 2016 ident: 10119_CR61 publication-title: Journal of Biological Education doi: 10.1080/00219266.2015.1028570 – volume: 27 start-page: 11 issue: 1 year: 2016 ident: 10119_CR131 publication-title: Journal of Science Teacher Education doi: 10.1007/s10972-016-9453-8 – volume: 13 start-page: 351 issue: 3 year: 2014 ident: 10119_CR18 publication-title: Journal of Baltic Science Education doi: 10.33225/jbse/14.13.351
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