Preparing students to meet their data: an evaluation of K-12 data science tools
Data science education has gained momentum in recent years. Along with the development of curricula to teach data science, the number and diversity of tools for introducing data science to learners are also multiplying. The tools used to teach data science play a central role in shaping the learning...
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| Veröffentlicht in: | Behaviour & information technology Jg. 44; H. 5; S. 934 - 953 |
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| Format: | Journal Article |
| Sprache: | Englisch |
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London
Taylor & Francis
16.03.2025
Taylor & Francis Ltd |
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| ISSN: | 0144-929X, 1362-3001 |
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| Abstract | Data science education has gained momentum in recent years. Along with the development of curricula to teach data science, the number and diversity of tools for introducing data science to learners are also multiplying. The tools used to teach data science play a central role in shaping the learning experience. Therefore, it is important to carefully choose which tools to use to introduce learners to data science. This article presents a systematic analysis of 30 data science tools that are, or designed to be, used in introductory data science education for K-12 students. The identified tools list includes spreadsheets, visual analysis tools, and scripting environments. For each tool, we examine facets of its capabilities, interactions, educational support, and accessibility. For block-based programming tools, we also examine the data science functionalities available in that tool's blocks. This paper advances our understanding of the current state of introductory data science environments and highlights opportunities for creating new tools to better prepare learners to navigate the data-rich world surrounding them. |
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| AbstractList | Data science education has gained momentum in recent years. Along with the development of curricula to teach data science, the number and diversity of tools for introducing data science to learners are also multiplying. The tools used to teach data science play a central role in shaping the learning experience. Therefore, it is important to carefully choose which tools to use to introduce learners to data science. This article presents a systematic analysis of 30 data science tools that are, or designed to be, used in introductory data science education for K-12 students. The identified tools list includes spreadsheets, visual analysis tools, and scripting environments. For each tool, we examine facets of its capabilities, interactions, educational support, and accessibility. For block-based programming tools, we also examine the data science functionalities available in that tool's blocks. This paper advances our understanding of the current state of introductory data science environments and highlights opportunities for creating new tools to better prepare learners to navigate the data-rich world surrounding them. |
| Author | Tabak, Rachel Israel-Fishelson, Rotem Weintrop, David Moon, Peter F. |
| Author_xml | – sequence: 1 givenname: Rotem surname: Israel-Fishelson fullname: Israel-Fishelson, Rotem email: rotemisf@umd.edu organization: University of Maryland – sequence: 2 givenname: Peter F. surname: Moon fullname: Moon, Peter F. organization: University of Maryland – sequence: 3 givenname: Rachel surname: Tabak fullname: Tabak, Rachel organization: University of Maryland – sequence: 4 givenname: David surname: Weintrop fullname: Weintrop, David organization: University of Maryland |
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| Cites_doi | 10.1145/3457875 10.1145/3015455 10.1145/3124144.3124145 10.1111/test.12283 10.1109/BLOCKS.2015.7369009 10.1145/2676723.2677220 10.1007/978-1-4842-4470-8_7 10.5951/mathteacher.112.6.0473 10.5334/jime.731 10.1109/TLT.2022.3223577 10.1145/3017680.3022377 10.1016/j.cola.2021.101075 10.3102/0013189X211048810 10.5070/T531000034 10.1145/3371155 10.1145/2538862.2539022 10.1109/BLOCKS.2015.7369006 10.1109/BLOCKS.2015.7369011 10.1145/3341221 10.1145/3290605.3300493 10.1111/test.12015 10.1145/3486001.3486249 10.1145/3017680.3017741 10.1109/VLHCC.2017.8103499 10.1109/MIC.2019.2928449 10.1177/00317217211043627 10.1145/3017680.3017707 10.1007/s42330-021-00184-0 10.1007/s10956-021-09932-1 10.1016/j.ijcci.2018.04.005 10.1145/3361721.3362104 10.1080/00220485.2020.1804503 10.1111/insr.12110 10.1109/BLOCKS.2017.8120400 10.1016/j.cola.2022.101156 10.1162/99608f92.246107bb 10.1080/20476965.2023.2237745 10.1145/3025453.3025847 10.1080/00031305.2018.1482784 10.1088/1742-6596/1456/1/012037 10.1145/3576050.3576097 10.1016/j.ijforecast.2020.07.007 10.1145/2684721.2684736 10.1145/3585088.3589363 10.1016/j.is.2023.102183 10.52041/SRAP.16601 10.1109/BLOCKS.2015.7369000 10.1007/978-1-4842-5766-1_2 10.2139/ssrn.2445621 10.5951/mathteacher.110.3.0228 10.1080/10691898.2020.1851159 10.1109/TBDATA.2019.2921774 10.1111/bjet.13245 10.32374/rtsre.2019.013 10.1145/3594781.3594783 10.1109/TETC.2017.2729585 10.1109/BLOCKS.2017.8120421 10.1111/test.12267 10.1007/s40593-019-00177-z 10.1145/3341525.3393997 10.18637/jss.v088.i02 10.1109/BLOCKS.2017.8120406 10.1145/3159450.3162371 10.3316/informit.134933698874915 10.1145/3478431.3499311 |
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| References | e_1_3_3_52_1 e_1_3_3_75_1 e_1_3_3_50_1 e_1_3_3_79_1 Wang L. (e_1_3_3_74_1) 2022 Geise M. J. (e_1_3_3_27_1) 2021; 37 e_1_3_3_18_1 e_1_3_3_39_1 e_1_3_3_14_1 e_1_3_3_37_1 e_1_3_3_16_1 e_1_3_3_35_1 e_1_3_3_58_1 e_1_3_3_10_1 e_1_3_3_33_1 e_1_3_3_56_1 e_1_3_3_12_1 e_1_3_3_31_1 Hoque M. N. (e_1_3_3_32_1) 2019 e_1_3_3_54_1 e_1_3_3_73_1 Wimmer H. (e_1_3_3_85_1) 2016; 9 e_1_3_3_40_1 e_1_3_3_63_1 e_1_3_3_61_1 Bargagliotti A. (e_1_3_3_3_1) 2020 Wild C. J. (e_1_3_3_83_1) 2018 e_1_3_3_7_1 e_1_3_3_9_1 e_1_3_3_29_1 e_1_3_3_25_1 e_1_3_3_48_1 e_1_3_3_46_1 e_1_3_3_69_1 e_1_3_3_80_1 e_1_3_3_21_1 e_1_3_3_44_1 e_1_3_3_67_1 e_1_3_3_82_1 e_1_3_3_5_1 e_1_3_3_23_1 e_1_3_3_42_1 e_1_3_3_65_1 e_1_3_3_30_1 e_1_3_3_51_1 e_1_3_3_76_1 e_1_3_3_78_1 e_1_3_3_70_1 Strahler J. (e_1_3_3_71_1) 2020 e_1_3_3_19_1 e_1_3_3_13_1 e_1_3_3_38_1 e_1_3_3_59_1 e_1_3_3_15_1 e_1_3_3_36_1 e_1_3_3_57_1 e_1_3_3_34_1 e_1_3_3_55_1 e_1_3_3_72_1 e_1_3_3_11_1 e_1_3_3_53_1 DataClassroom (e_1_3_3_17_1) 2022 e_1_3_3_41_1 e_1_3_3_62_1 e_1_3_3_60_1 Wild C. J. (e_1_3_3_84_1) 2021; 3 e_1_3_3_6_1 Weintrop D. (e_1_3_3_77_1) 2021; 1 e_1_3_3_8_1 e_1_3_3_28_1 e_1_3_3_24_1 e_1_3_3_49_1 e_1_3_3_26_1 e_1_3_3_47_1 e_1_3_3_68_1 e_1_3_3_81_1 e_1_3_3_2_1 e_1_3_3_20_1 e_1_3_3_45_1 e_1_3_3_66_1 e_1_3_3_4_1 e_1_3_3_22_1 e_1_3_3_43_1 e_1_3_3_64_1 |
| References_xml | – ident: e_1_3_3_47_1 doi: 10.1145/3457875 – ident: e_1_3_3_7_1 doi: 10.1145/3015455 – ident: e_1_3_3_33_1 – ident: e_1_3_3_38_1 doi: 10.1145/3124144.3124145 – ident: e_1_3_3_25_1 doi: 10.1111/test.12283 – volume: 3 year: 2021 ident: e_1_3_3_84_1 article-title: On Democratizing Data Science: Some iNZights into Empowering the Many publication-title: Harvard Data Science Review – ident: e_1_3_3_5_1 doi: 10.1109/BLOCKS.2015.7369009 – ident: e_1_3_3_69_1 doi: 10.1145/2676723.2677220 – ident: e_1_3_3_8_1 doi: 10.1007/978-1-4842-4470-8_7 – ident: e_1_3_3_52_1 doi: 10.5951/mathteacher.112.6.0473 – ident: e_1_3_3_45_1 doi: 10.5334/jime.731 – ident: e_1_3_3_48_1 doi: 10.1109/TLT.2022.3223577 – ident: e_1_3_3_70_1 doi: 10.1145/3017680.3022377 – ident: e_1_3_3_44_1 doi: 10.1016/j.cola.2021.101075 – ident: e_1_3_3_43_1 doi: 10.3102/0013189X211048810 – ident: e_1_3_3_75_1 doi: 10.5070/T531000034 – ident: e_1_3_3_78_1 doi: 10.1145/3371155 – ident: e_1_3_3_30_1 doi: 10.1145/2538862.2539022 – ident: e_1_3_3_20_1 doi: 10.1109/BLOCKS.2015.7369006 – ident: e_1_3_3_15_1 doi: 10.1109/BLOCKS.2015.7369011 – ident: e_1_3_3_76_1 doi: 10.1145/3341221 – ident: e_1_3_3_37_1 doi: 10.1145/3290605.3300493 – volume-title: Proceedings of the 2nd annual meeting of the international society of the learning sciences 2022 year: 2022 ident: e_1_3_3_74_1 – ident: e_1_3_3_40_1 doi: 10.1111/test.12015 – ident: e_1_3_3_82_1 doi: 10.1145/3486001.3486249 – ident: e_1_3_3_11_1 doi: 10.1145/3017680.3017741 – ident: e_1_3_3_51_1 – ident: e_1_3_3_60_1 doi: 10.1109/VLHCC.2017.8103499 – ident: e_1_3_3_68_1 doi: 10.1109/MIC.2019.2928449 – start-page: 20 year: 2019 ident: e_1_3_3_32_1 article-title: Examining the Visualization Practices of Data Scientists on Kaggle publication-title: IEEE VIS – ident: e_1_3_3_39_1 doi: 10.1177/00317217211043627 – ident: e_1_3_3_79_1 doi: 10.1145/3017680.3017707 – ident: e_1_3_3_65_1 doi: 10.1007/s42330-021-00184-0 – volume-title: Real-world Assignments at Scale to Reinforce the Importance of Algorithms and Complexity year: 2020 ident: e_1_3_3_71_1 – ident: e_1_3_3_41_1 doi: 10.1007/s10956-021-09932-1 – ident: e_1_3_3_81_1 doi: 10.1016/j.ijcci.2018.04.005 – volume: 37 start-page: 66 issue: 4 year: 2021 ident: e_1_3_3_27_1 article-title: An Introduction to Tableau as a Data Visualization Tool publication-title: Journal of Computing Sciences in Colleges – ident: e_1_3_3_57_1 doi: 10.1145/3361721.3362104 – ident: e_1_3_3_6_1 doi: 10.1080/00220485.2020.1804503 – ident: e_1_3_3_63_1 doi: 10.1111/insr.12110 – ident: e_1_3_3_59_1 doi: 10.1109/BLOCKS.2017.8120400 – ident: e_1_3_3_10_1 doi: 10.1016/j.cola.2022.101156 – ident: e_1_3_3_23_1 doi: 10.1162/99608f92.246107bb – volume: 1 start-page: 71 year: 2021 ident: e_1_3_3_77_1 article-title: The Role of Block-based Programming in Computer Science Education publication-title: Understanding Computing Education – ident: e_1_3_3_31_1 doi: 10.1080/20476965.2023.2237745 – ident: e_1_3_3_14_1 – ident: e_1_3_3_16_1 doi: 10.1145/3025453.3025847 – ident: e_1_3_3_49_1 doi: 10.1080/00031305.2018.1482784 – ident: e_1_3_3_55_1 doi: 10.1088/1742-6596/1456/1/012037 – ident: e_1_3_3_36_1 – ident: e_1_3_3_2_1 doi: 10.1145/3576050.3576097 – ident: e_1_3_3_9_1 doi: 10.1016/j.ijforecast.2020.07.007 – ident: e_1_3_3_42_1 doi: 10.1145/2684721.2684736 – ident: e_1_3_3_53_1 doi: 10.1145/3585088.3589363 – ident: e_1_3_3_26_1 doi: 10.1016/j.is.2023.102183 – ident: e_1_3_3_19_1 doi: 10.52041/SRAP.16601 – ident: e_1_3_3_24_1 doi: 10.1109/BLOCKS.2015.7369000 – ident: e_1_3_3_50_1 doi: 10.1007/978-1-4842-5766-1_2 – ident: e_1_3_3_18_1 doi: 10.2139/ssrn.2445621 – ident: e_1_3_3_62_1 doi: 10.5951/mathteacher.110.3.0228 – ident: e_1_3_3_67_1 doi: 10.1080/10691898.2020.1851159 – ident: e_1_3_3_35_1 doi: 10.1109/TBDATA.2019.2921774 – ident: e_1_3_3_64_1 doi: 10.1111/bjet.13245 – ident: e_1_3_3_73_1 doi: 10.32374/rtsre.2019.013 – ident: e_1_3_3_13_1 – ident: e_1_3_3_21_1 doi: 10.1145/3594781.3594783 – ident: e_1_3_3_4_1 doi: 10.1109/TETC.2017.2729585 – ident: e_1_3_3_34_1 doi: 10.1109/BLOCKS.2017.8120421 – ident: e_1_3_3_28_1 doi: 10.1111/test.12267 – ident: e_1_3_3_12_1 – ident: e_1_3_3_61_1 doi: 10.1007/s40593-019-00177-z – ident: e_1_3_3_29_1 – volume: 9 start-page: 4 issue: 2 year: 2016 ident: e_1_3_3_85_1 article-title: A Comparison of Open Source Tools for Data Science publication-title: Journal of Information Systems Applied Research – ident: e_1_3_3_54_1 doi: 10.1145/3341525.3393997 – volume-title: DataClassroom year: 2022 ident: e_1_3_3_17_1 – ident: e_1_3_3_46_1 doi: 10.18637/jss.v088.i02 – ident: e_1_3_3_80_1 doi: 10.1109/BLOCKS.2017.8120406 – volume-title: Pre-K-12 Guidelines for Assessment and Instruction in Statistics Education II (GAISE II) year: 2020 ident: e_1_3_3_3_1 – ident: e_1_3_3_58_1 doi: 10.1145/3159450.3162371 – ident: e_1_3_3_22_1 doi: 10.3316/informit.134933698874915 – ident: e_1_3_3_66_1 doi: 10.1145/3478431.3499311 – start-page: 1 year: 2018 ident: e_1_3_3_83_1 article-title: Gaining iNZights from Data. Looking Back, Looking Forward publication-title: Proceedings of the 10th International Conference on Teaching Statistics (ICOTS10) – ident: e_1_3_3_56_1 – ident: e_1_3_3_72_1 |
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