Suchergebnisse - acm: c.: computer system organización/c.4: performance of system/c.4.4: performance attributes
-
1
Autoren: et al.
Weitere Verfasser: et al.
Quelle: 13es Rencontres Francophones sur les Aspects Algorithmiques de Télécommunications (AlgoTel)
https://hal.inria.fr/inria-00588106
13es Rencontres Francophones sur les Aspects Algorithmiques de Télécommunications (AlgoTel), May 2011, Cap Estérel, FranceSchlagwörter: Compact Routing, Multicast, Algorithm, Performance Analysis, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.1: Network Architecture and Design/C.2.1.3: Distributed networks, ACM: C.: Computer Systems Organization/C.2: COMPUTER-COMMUNICATION NETWORKS/C.2.1: Network Architecture and Design/C.2.1.6: Network communications, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.4: Performance attributes, [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI]
Geographisches Schlagwort: Cap Estérel, France
Relation: inria-00588106; https://hal.inria.fr/inria-00588106; https://hal.inria.fr/inria-00588106/document; https://hal.inria.fr/inria-00588106/file/AlgoTel_2011_-_Performance_Analysis_of_a_Dynamic_Compact_Multicast_Routing_Scheme.pdf
-
2
Autoren: et al.
Weitere Verfasser: et al.
Quelle: http://staff.ustc.edu.cn/~jpq/paper/flash/2008-TOS-A nine year study of file system and storage benchmarking.pdf.
Schlagwörter: Categories and Subject Descriptors, D.4.8 [Operating Systems, Performance—Measurements, C.4 [Computer Systems Organization, Performance of Systems—Measurement techniques, per- formance attributes General Terms, Design, Experimentation, Measurement, Performance Additional Key Words and Phrases, Benchmarks, file systems, storage systems ACM Reference Format
Dateibeschreibung: application/pdf
Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.488.481
http://staff.ustc.edu.cn/~jpq/paper/flash/2008-TOS-A nine year study of file system and storage benchmarking.pdf -
3
Autoren: et al.
Weitere Verfasser: et al.
Quelle: 28th ACM Symposium on Applied Computing (SAC'13), 1st Software Engineering Aspects of Green Computing (SEAGC) Track
https://inria.hal.science/hal-00762626
28th ACM Symposium on Applied Computing (SAC'13), 1st Software Engineering Aspects of Green Computing (SEAGC) Track, Mar 2013, Coimbra, Portugal. pp.1157-1162Schlagwörter: Energy, Digital Home, Consolidation, Quality of Service, Event-processing, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.4: Performance attributes, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS/G.1.6: Optimization/G.1.6.0: Constrained optimization, [INFO.INFO-AR]Computer Science [cs]/Hardware Architecture [cs.AR]
-
4
Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: Categories and Subject Descriptors, D.4.8 [Operating Systems, Performance—Measurements, C.4 [Computer Systems Organization, Performance of Systems—Measurement techniques, performance attributes General Terms, Design, Experimentation, Measurement, Performance Additional Key Words and Phrases, Benchmarks, file systems, storage systems ACM Reference Format
Dateibeschreibung: application/pdf
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.304.8547; http://www.fsl.cs.sunysb.edu/docs/fsbench/fsbench.pdf
-
5
Autoren: et al.
Weitere Verfasser: et al.
Quelle: ISSN: 1532-0626 ; EISSN: 1532-0634.
Schlagwörter: Program performance evaluation and analysis, code optimisation, statistics, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.2: Measurement techniques, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.4: Performance attributes, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]
-
6
Autoren: et al.
Weitere Verfasser: et al.
Quelle: https://inria.hal.science/inria-00435561 ; [Research Report] RR-7112, INRIA. 2009.
Schlagwörter: Grid workload, Minimum Description Length principle, autoregressive model, segmentation, ACM: G.: Mathematics of Computing/G.3: PROBABILITY AND STATISTICS/G.3.17: Time series analysis, ACM: C.: Computer Systems Organization/C.4: PERFORMANCE OF SYSTEMS/C.4.4: Performance attributes, [MATH.MATH-PR]Mathematics [math]/Probability [math.PR], [MATH.MATH-ST]Mathematics [math]/Statistics [math.ST], [STAT.TH]Statistics [stat]/Statistics Theory [stat.TH], [INFO.INFO-NI]Computer Science [cs]/Networking and Internet Architecture [cs.NI], [INFO.INFO-DC]Computer Science [cs]/Distributed, Parallel, and Cluster Computing [cs.DC]
-
7
Autoren: et al.
Weitere Verfasser: et al.
Quelle: 2nd International Conference on Performance Evaluation Methodologies and Tools
https://hal.science/hal-00203526
2nd International Conference on Performance Evaluation Methodologies and Tools, Oct 2007, Nantes, France. pp.1-10, ⟨10.4108/valuetools.2007.1980⟩Schlagwörter: Performance of Systems, Modeling techniques, Performance attributes, Probability and Statistics, Markov processes, ACM C4, ACM G3, [INFO.INFO-PF]Computer Science [cs]/Performance [cs.PF]
-
8
Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: Categories and Subject Descriptors, C.2.4 [Computer Communication Networks, Distributed Systems, C.2.5 [Computer Communication Networks, Local and Wide-Area Networks—In- ternet, C.4 [Performance of Systems] —Design studies, measurement techniques, performance attributes, modeling techniques General Terms, Algorithms, Design, Measurement, Performance Additional Key Words and Phrases, World Wide Web, load prediction, load change detection, dis- tributed systems, load representation ACM Reference Format
Dateibeschreibung: application/pdf
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.495.419; http://samba.ing.unimo.it/papers/tweb2008.pdf
-
9
Autoren: et al.
Weitere Verfasser: et al.
Quelle: SEAMS 2011 ; https://inria.hal.science/inria-00578337 ; SEAMS 2011, ACM SIGSOFT / IEEE TCSE, May 2011, Honolulu, Hawaii, United States. pp.80-89, ⟨10.1145/1988008.1988020⟩ ; http://doi.acm.org/10.1145/1988008.1988020
Schlagwörter: application of control theory, assessment and evaluation of self-adaptive systems, engineering of self-adaptive systems, run-time validation and verification, software adaptation metrics, software adaptation properties, software quality attributes, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.4: Software/Program Verification, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.4: Software/Program Verification/D.2.4.6: Reliability, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.4: Software/Program Verification/D.2.4.8: Validation, ACM: D.: Software/D.2: SOFTWARE ENGINEERING/D.2.8: Metrics/D.2.8.1: Performance measures, [INFO.INFO-SE]Computer Science [cs]/Software Engineering [cs.SE]
Geographisches Schlagwort: Honolulu, Hawaii, United States
-
10
Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: Categories and Subject Descriptors, C.3 [Computer Systems Organization, Special-Purpose and Application-Based Systems—Real-time and embedded systems, C.4[Computer Systems Organization, Performance of Systems—Modeling techniques, performance attributes, J.7 [Computer Applications, Computers in Other Systems—Real time, command and control General Terms, Design, Performance Additional Key Words and Phrases, Control, dynamic controller, time-triggered, implementation, performance, PID, PI, scheduling ACM Reference Format
Dateibeschreibung: application/pdf
-
11
Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: Categories and Subject Descriptors, B.8.0 [Hardware, Performance and Reliability—General, C.4 [Computer Systems Organization, Performance of Systems—Performance attributes, D.4.7 [Software, Operating Systems—Organization and Design General Terms, Performance, Theory Additional Key Words and Phrases, Schedulability analysis, soft real-time systems, stochastic task execution times, mapping, priority assignment ACM Reference Format
Dateibeschreibung: application/pdf
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.421.5174; http://www.ida.liu.se/labs/eslab/publications/pap/db/sorma_asm_ecs08.pdf
-
12
Autoren:
Schlagwörter: Vehicle dynamics, Simulation, Computer programs, Vehicle Dynamics Modeling, Driver-Vehicle System Modeling, Driver-Vehicle Performance
Dateibeschreibung: bib
Verfügbarkeit: http://hdl.handle.net/2027/mdp.39015075205313
-
13
Autoren:
Schlagwörter: Vehicle dynamics, Simulation, Computer programs, Vehicle Dynamics Modeling, Driver-Vehicle System Modeling, Driver-Vehicle Performance
Dateibeschreibung: bib
Verfügbarkeit: http://hdl.handle.net/2027/mdp.39015075205305
-
14
Autoren: et al.
Weitere Verfasser: et al.
Quelle: ISSN: 1420-0597.
Schlagwörter: Compression, Upscaling, Multiscale methods, Corner point grid, Discrete wavelet transform, Hexahedral volume meshes, Simulation, Big-data, High-performance Computing, Geometrical discontinuities, ACM: G.: Mathematics of Computing/G.1: NUMERICAL ANALYSIS, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.2: Information Storage, ACM: I.: Computing Methodologies/I.4: IMAGE PROCESSING AND COMPUTER VISION, [INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing, [INFO.INFO-CG]Computer Science [cs]/Computational Geometry [cs.CG], [INFO.INFO-CV]Computer Science [cs]/Computer Vision and Pattern Recognition [cs.CV], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [MATH.MATH-FA]Mathematics [math]/Functional Analysis [math.FA], [SDU.STU.GP]Sciences of the Universe [physics]/Earth Sciences/Geophysics [physics.geo-ph], [SDU.STU]Sciences of the Universe [physics]/Earth Sciences, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing, [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation
Relation: info:eu-repo/semantics/altIdentifier/arxiv/1903.07614; ARXIV: 1903.07614
-
15
Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: 運動資訊, 表現分析, 排球, 數據分析, 資訊視覺化, 人機互動, 使用者介面, 使用者經驗, Sports information, Performance analysis, Volleyball, Data analysis, Infographic, Human-Computer interaction, User interface, User experience, UI, UX
Dateibeschreibung: 11407514 bytes; application/pdf
Relation: 永信杯全國排球錦標賽官方網站。（2017年9月15日）。【官方網站】。取自\nhttp://vbg.yungshingroup.com/vbg/Idea.aspx\n\n吳忠政、許壬榮（2004）。排球接發球訓練之探討。中華體育季刊，18(2)，1-8。\n\n吳美玉（2006）。世界女子排球大獎賽比賽得分技術表現與比賽成績表現之關聯\n研究。2007國際排球教練暨訓練科學研討會論文集，46-63。台北：國\n立台灣師範大學運動競技學系。\n\n吳苑瑜、曾奕霖、余秉學、白乃遠（2016）。Unity跨平台2D遊戲設計不設\n限：從入門、網頁到手機遊戲的快速實戰。台北市：基峰。\n\n李函潔（2001）。排球比賽得分結構的差異性探討。大專排球研究論集，7，\n131-138。\n\n李黛芬、蔡芬卿（2000）。Mosston教學光譜之互惠式在排球校隊訓練上的應用\n與探討。大專體育，51，83-89。\n\n周陟（2013）。UI進化論：行動裝置使用者介面設計（第三版）。台北市：\n上奇資訊。\n\n施惠方（2006）。2006年世界女子排球錦標賽中華台北之比賽得分技術與比賽\n成績關聯研究。2007國際排球教練暨訓練科學研討會論文集，145-162。\n台北：國立台灣師範大學運動競技學系。\n\n洪沛然（譯）（2011）。Designing the iPhone User Experience 簡單法則（原\n作者：S. Ginsburg）台灣：碁峰。（原著出版年：2011）\n\n盃賽網官方網站。（2017年9月23日）。【官方網站】取自http://www.bsaila.\ncom.tw\n\n\n胡為君（譯）（2014）。資訊視覺圖表：讓資料變好看的大數據時代資料表達\n術。（原作者：R. Krum）。台灣：碁峰。（原著出版年：2013）。\n\n徐仁輝（2004）。績效評估與績效預算。國家政策季刊，3(2)，21-36頁。\n\n張智傑、洪聰敏（2006）。運動情報的搜集與分析。國際體育季刊，35（3），\n41-42。\n\n莊曜聰（2017年10月18日）。華宗盃排球賽 314隊競技創新高。中國時報。\n取自http://www.chinatimes.com/newspapers/20171018000624-260107\n\n陳亦苓（譯）（2013）。智慧型手機APP UI/UX設計鐵則。（原作者：池田拓司）\n台北市：旗標。（原著出版年：2013）。\n\n陳志成、柯彥惠（2005）。排球得分技術績效之探討與標竿分析法之應用：以2004\n奧運資格女子排球錦標賽亞洲參賽國為例。大學體育專刊，7(1)，169-177。\n\n陳景清（2016年3月27日）。王和家 創辦和家杯排球賽一甲子。南方生活報。\n取自http://www.southjournal.com.tw/treasure-island/201603-01/\n\n黃邱倫（2017年8月30日）。世大運銷售奇蹟 總票房超過八成七。中時電子\n報。取自http://www.chinatimes.com/realtimenews/20170830004690\n-260403\n\n楊仁和（譯）（2016）。UX從新手開始：使用者體驗的100堂必修課（原作\n者：J. Marsh）。台灣：歐萊禮。（原著出版年：2015）\n\n楊宗訓（譯）（2012）。設計的邏輯：INFOGRAPHICS 深入人心的視覺法則（原\n作者：木村博之）。台北市：旗標。（原著出版年：2010）。\n\n楊昌陸（2006）。2005年世界青少女排球錦標賽參賽球隊得分結構之分析。淡\n江體育，9，135-143。\n\n楊總成（2007）。探討排球比賽資料收集的原則及方法。排球教練科學，9，\n18-24。\n\n溫卓謀（2006）。國家級與國際級頂尖羽球雙打運動員競賽表現之標記分\n析。屏東：睿煜出版社。\n\n劉宗德、楊總成（2001）。2001年津津盃亞洲男子排球四強邀請賽我國扣球進\n攻能力分析。淡江體育，4，140-143。\n\n劉建華、陳芳（2002）。男子排球比賽接發球進攻系統現實狀態分析與評價。中\n國體育科技，38（5），24-26。\n\n劉惠琴（2018年2月24日）。果粉真的變心了？市調數據分析：Android 用戶\n全球市佔增多。自由時報。取自http://3c.ltn.com.tw/news/33067\n\n鄭巧玉（譯）（2014）。行動介面設計模式圖鑑（原作者：T. Neil）。台灣：歐\n萊禮。（原著出版年：2014）。\n\n藜玉東、廖正訓（2001）。清華大學排球隊參加八十九學年度大專排球聯賽得分\n結構之分析，大專體育，57，113-117。\n\n蘇榮泉（2016年10月15日）。全國媽祖盃排球錦標賽 北港朝天宮一連展開四\n天賽程。台灣好新聞。取自http://www.taiwanhot.net/?p=383657\n\nAckoff, R. L. (1989). From data to wisdom. Journal of applied systems analysis,\n16(1), 3-9.\n\nAven, T. (2013). A conceptual framework for linking risk and the elements of the\ndata information–knowledge–wisdom (DIKW) hierarchy. Reliability Engineering & System Safety, 111, 30-36.\n\nAwad, E. M. & Ghaziri, H. M. (2004). Knowledge management, 2004. ed:\nPrentice-Hall, Upper Saddle River, New Jersey.\n\nBangor, A., Kortum, P. , & Miller, J. (2009). Determining what individual SUS\nscores mean: Adding an adjective rating scale. Journal of Usability Studies,\n114-123.\nBertucci, B. & Hippolyte, R. (1984). Individual skill training. Championship\nvolleyball drills, 1, 9-83.\n\nBrinkmann, S. (2014). Interview. In: Teo T. (eds) Encyclopedia of Critical\nPsychology. Springer, New York, NY.\n\nBrooke, J. (1986). SUS—A Quick and Dirty Usability Scale. Usability Evaluation in\nIndustry, 189-194.\n\nBrooke, J. (2013) SUS: A Retrospective, Uxpajournal, 8 (2), 29-40.\n\nCard, S. K., Mackinlay, J. D., & Shneiderman, B. (1999). Readings in information\nvisualization: Using vision to think. San Francisco, SF: Morgan Kaufmann Publishers Inc.\n\nCohen, D. & Crabtree, B. (2006). Qualitative Research Guidelines Project.\nRetrieved from http://www.qualres.org/HomeSemi-3629.html\n\nCooper, P. (2014). Data, information, knowledge and wisdom. Anaesthesia &\nIntensive Care Medicine, 15(1), 44-45.\n\nCyr, D., Head, M., & Ivanov, A. (2006). Design aesthetics leading to m-loyalty in\nmobile commerce. Information and Management, 43(8), 950–963.\n\nDavis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User Acceptance of Computer\nTechnology: a comparison of two theoretical models, Management Science, 35(8), 982-1003.\n\nEisenhardt, K. M. (1989). Building Theories from Case Study Research. Academy\nof Management Review, 14(4), 23-550.\n\nExtra Credits Team（2012）.Tutorials 101 - How to Design a Good Game Tutorial\n-Extra Credits. [Video]. Retrieved January 2, 2018, from http://www.youtube.com/watch?v=BCPcn-Q5nKE\n\nFekete, J. D., Wijk, J. V., Stasko, J., & North, C. (2008). The value of information\nvisualization. Lecture Notes in Computer Science, 4950, 1-18. Berlin Heidelberg, Germany: Spring-Verlag Berlin Heidelberg.\n\nFIVB Volleyball Information System (VIS). [Website]. Retrieved December 20,\n2017, from http://www.fivb.com/en/volleyball/vis\n\nFIVB Volleyball Information System (VIS) User Manual. [Online manual].\nRetrieved December 20, 2017, from https://cevadmin.cev.lu/\nAdministration/BeachVolley/EditorImages/547/fivb_vis_user_manual.pdf\n\nGershon, N. & Page, W. (2001). What storytelling can do for information\nvisualization. Communications of the ACM, 44(8), 31-37.\n\nGinsburg, S. (2011). Designing the iPhone User Experience: A User-Centered\nApproach to Sketching and Prototyping iPhone Apps. Addison Wesley, USA.\n\nHand, D., Mannila, H., & Smyth, P. (2001). Principles of Data Mining, The MIT\nPress, USA.\n\n\nHeer, J., Bostock, M., & Ogievetskey, V. (2010). A Tour Through the Visualization\nZoo, Communication of the ACM 53, no.6, 59-V67. Retrieved from\nhttp://queue.acm.org/detail.cfm?id=1805128.\n\nHolmes, N. (1991). Designer’s Guide to Creating Charts & Diagrams.\nWatson-Guptill.\n\nHughes, M. & Bartlett, R. (2002). The use of performance indicators in\nperformance analysis. Journal of Sports Sciences, 20, 739-754.\n\nHumski, L. & Skocir, Z. (2011, June). Volleyball Information System, Advanced\nInformation Services and Systems, Proceedings of the 2011 11th\nInternational Conference on Telecommunications. Graz, Austria:\nIEEE, 117-124.\n\nJanssen, C. (2010). Information Graphic. Retrieved December 26, 2017, from\nhttp://www.techopedia.com/definition/27808/information-graphic-infographic\n\nKeim, A. D., Mansmann, F., Schneidewind, J., & Ziegler, H. (2006). Challenges in\nvisual data analysis. IV’06 Proceedings of conference on Information Visualization, 9-16. Washington, DC: IEEE Computer Society.\n\nKrum, R. (2013). Cool Infographics. Hoboken, NJ:WILEY.\n\nLuarn, P. & Lin, H. H. (2005). Toward an understanding of the behavioral\nintention to use mobile banking, Computers In Human Behavior, 21(6),\n873-891.\n\nMarsh, J. (2015). UX for Beginners: A Crash Course in 100 Short Lessons, O`Reilly\nMedia.\n\nMaslow, A. H. (1966). The Psychology of Science, Richmond, CA: Maurice\nBassett.\n\nMatthew, O. W., Georges, G., & Daniel, K. (2015). Interactive Data Visualization:\nFoundations, Techniques, and Applications. A K Peters Ltd.\n\nMedina, J. (2009). Brain Rules: 12 Principles for Surviving and Thriving at Work,\nHome, and School, Seattle: Pear Press.\n\nNeil, T. (2014). Mobile Design Pattern Gallery: UI Patterns for Smartphone\nApps, O`Reilly Media.\n\nNeville, C., Irwin, W., & Kriz, R. (2003). Visualising class cohesion with virtual\nworlds, In Proceedings of the Asia-Pacific symposium on Information\nvisualization, 24, 89-97.\n\nNielsen, J. (1993). Usability Engineering. Boston, MA: Academic Press.\n\nNielsen, J. & Thomas K. L. (1993). A mathematical model of the\nfinding of usability problems, Proceedings of ACM INTERCHI`93 Conference, Amsterdam, The Netherlands, 206-213.\n\nNorman, D. (1993). Things that make us smart: Defining human attributes in the\nage of the machine. Boston, MA: Addison-Wesley.\n\nNorman, D. (2004). Emotional designs: Why we love (or hate) everyday things.\nNew York: Basic Books.\n\nPreece, J. (1998). Empathic communities: Reaching out across the\nWeb. Interactions, 2, 32-43.\n\nPreece, J., Rogers, Y., & Sharp, H. (2002). Interaction design: Beyond\nhuman-computer interaction. New York: John Wiley & Sons.\n\nPreece, J., Sharp, H., & Rogers, Y. (2002). Interaction Design. John Wiley &\nSons, Inc. New York, NY, USA.\n\n\nPrewitt, V. R. (2002). Wisdomin the workplace. Performance Improvement\nQuarterly, 15(1), 84–98.\n\nReichheld, F. F. (2006). The ultimate question: Driving good profits and true\ngrowth, Harvard Business School Press.\n\nRieber, P. L. (1995). A historical Review of visualization in human cognition.\nETR&D Educational Technology Research and Development, 43(1), 45-46.\n\nRowley, J. E. (2007). The wisdom hierarchy: representations of the DIKW\nhierarchy. Journal of information science. 33(2), 163–180.\n\nSauro, J. (2011). Measuring U- measuring usability with the system usability\nscale. [Website]. Retrieved August 30, 2018, from https://measuringu.com/sus/\n\nTarasewich, P. (2003). Designing mobile commerce applications, Communication\nof ACM, 46(12), 57-60.\n\nTaylor, S. & Todd, P. A. (1995). Understanding Information Technology Usage: a\ntest of competing models. Information System Research, 6(2), 144-176.\n\nTuffe, E. R. (2001). The Visual Display of Quantitative Information. Cheshire, CT:\nGraphics Press LLC. Retrieved from http://www.edwardtufte.com/\n\nTullis, T. S. &Stetson, J. N. (2004). A Comparison of Questionnaires for Assessing\nWebsite Usability, Proceedings of UPA 2004 Conference.\n\nVan der Heijden, H., Verhagen, T., & Creemers, M. (2001). Predicting Online\nPurchase Behavior: Replications and Test of Competing Models, System\nSciences, 2001. Proceedings of the 34th Annual Hawaii International Conference.\n\n\nVanian, J.（2016, July 12,）. Why Data Is The New Oil. [Online News]. Retrieved\nfrom http://fortune.com/2016/07/11/data-oil-brainstorm-tech/\n\nWard, M. O., Grinstein, G., & Keim, D. (2010). Interactive Data Visualization:\nFoundations, Techniques, and Applications. A K Peters/CRC Press.\n\nWilliams, A. M. & Ericsson, K. A. (2005). Perceptual-cognitive expertise in sport:\nSome considerations when applying the expert performance approach. Human Movement Science, 24, 283–307.\n\nWinograd, T., & Wilson, C. (1997). The usability engineering framework for\nproduct design and evaluation. In M. G. Helander, T. K. Landauer, and P. V.\nPrabju (eds.) Handbook of Human-Computer Interaction. Amsterdam, Holland: Elsevier, 653-688.\n\nZeleny, M. (2005). Knowledge-information autopoietic cycle: towards the\nwisdom systems. International Journal of Management and Decision Making, 7(1), 3-18.\n\nZins, C. (2007). Conceptual Approaches for Defining Data, Information, and\nKnowledge. Journal of the American Society for Information Science and Technology. 58(4), 479-493.; G1034620031; https://nccur.lib.nccu.edu.tw//handle/140.119/122323; https://nccur.lib.nccu.edu.tw/bitstream/140.119/122323/1/003101.pdf
-
16
Autoren:
Weitere Verfasser:
Quelle: DTIC AND NTIS
Schlagwörter: Information Science, Human Factors Engineering & Man Machine System, COMPUTER OPERATORS, MAN COMPUTER INTERFACE, PERFORMANCE(HUMAN), RECORDS MANAGEMENT, DATA BASES, DATA PROCESSING, DISPLAY SYSTEMS, FILES(RECORDS), JOB SATISFACTION, PERFORMANCE(ENGINEERING), PERSONNEL, PLANNING, POLYNOMIALS, PRODUCTIVITY, RATINGS, REACTION TIME, REGRESSION ANALYSIS, WORK MEASUREMENT
Dateibeschreibung: text/html
-
17
Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: 推薦系統, 圖形學習, 圖形結構, Recommender system, Graph learning, Graph structure
Dateibeschreibung: 1751421 bytes; application/pdf
Relation: [1] N. S. Altman. An introduction to kernel and nearest-neighbor nonparametric regres-\nsion. The American Statistician, 46(3):175–185, 1992.\n[2] Y. Bengio, A. Courville, and P. Vincent. Representation learning: A review and new perspectives. IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(8):1798–1828, 2013.\n[3] J. S. Breese, D. Heckerman, and C. Kadie. Empirical analysis of predictive al- gorithms for collaborative filtering. In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence, UAI’98, page 43–52, San Francisco, CA, USA, 1998. Morgan Kaufmann Publishers Inc.\n[4] C.-M. Chen, M.-F. Tsai, Y.-C. Lin, and Y.-H. Yang. Query-based music recom- mendations via preference embedding. In Proceedings of the 10th ACM Conference on Recommender Systems, RecSys ’16, page 79–82, New York, NY, USA, 2016. Association for Computing Machinery.\n[5] G. E. Dahl, T. N. Sainath, and G. E. Hinton. Improving deep neural networks for lvcsr using rectified linear units and dropout. In 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, pages 8609–8613, 2013.\n[6] L. Ehrlinger and W. Wo ̈ß. Towards a definition of knowledge graphs. SEMANTiCS (Posters, Demos, SuCCESS), 48(1-4):2, 2016.\n[7] J. J. Hopfield. Neural networks and physical systems with emergent collective com- putational abilities. Proceedings of the national academy of sciences, 79(8):2554– 2558, 1982.\n[8] K. S. Jones. A statistical interpretation of term specificity and its application in retrieval. Journal of documentation, 1972.\n[9] T. N. Kipf and M. Welling. Semi-supervised classification with graph convolutional networks. In Proceedings of the 5th International Conference on Learning Repre- sentations, ICLR ’17, 2017.\n[10] Y.Koren,R.Bell,andC.Volinsky.Matrixfactorizationtechniquesforrecommender systems. Computer, 42(8):30–37, 2009.\n[11] P. Liang. Semi-supervised learning for natural language. PhD thesis, Massachusetts Institute of Technology, 2005.\n[12] D. G. Lowe. Object recognition from local scale-invariant features. In Proceedings of the seventh IEEE international conference on computer vision, volume 2, pages 1150–1157. Ieee, 1999.\n[13] H. P. Luhn. A statistical approach to mechanized encoding and searching of literary information. IBM J. Res. Dev., 1(4):309–317, 1957.\n[14] J. Mairal, J. Ponce, G. Sapiro, A. Zisserman, and F. Bach. Supervised dictionary learning. In D. Koller, D. Schuurmans, Y. Bengio, and L. Bottou, editors, Ad- vances in Neural Information Processing Systems, volume 21. Curran Associates, Inc., 2008.\n[15] W. S. McCulloch and W. Pitts. A logical calculus of the ideas immanent in nervous activity. The bulletin of mathematical biophysics, 5(4):115–133, 1943.\n[16] A. A. Mohammed and V. Umaashankar. Effectiveness of hierarchical softmax in large scale classification tasks. In 2018 International Conference on Advances in Computing, Communications and Informatics (ICACCI), pages 1090–1094, 2018.\n[17] M. Mu ̈ller. Dynamic time warping. Information retrieval for music and motion, pages 69–84, 2007.\n[18] K. O’Shea and R. Nash. An introduction to convolutional neural networks. arXiv preprint arXiv:1511.08458, 2015.\n[19] J. Qiu, Q. Chen, Y. Dong, J. Zhang, H. Yang, M. Ding, K. Wang, and J. Tang. Gcc: Graph contrastive coding for graph neural network pre-training. In Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD ’20, page 1150–1160, New York, NY, USA, 2020. Association for Computing Machinery.\n[20] L. F. Ribeiro, P. H. Saverese, and D. R. Figueiredo. Struc2vec: Learning node representations from structural identity. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’17, page 385–394, New York, NY, USA, 2017. Association for Computing Machinery.\n[21] S. E. Robertson, S. Walker, S. Jones, M. M. Hancock-Beaulieu, M. Gatford, et al. Okapi at trec-3. Nist Special Publication Sp, 109:109, 1995.\n[22] F. Rosenblatt. The perceptron: a probabilistic model for information storage and organization in the brain. Psychological review, 65(6):386, 1958.\n[23] G. Salton and C. Buckley. Term-weighting approaches in automatic text retrieval. Information processing & management, 24(5):513–523, 1988.\n[24] J. Schmidhuber. Deep learning in neural networks: An overview. Neural networks, 61:85–117, 2015.\n[25] Y. Shoham. Combining content-based and collaborative recommendation. Commu- nications of the ACM, 1997.\n[26] C. Sun and G. Wu. Adaptive graph diffusion networks with hop-wise attention. arXiv preprint arXiv:2012.15024, 2020.\n[27] H. Wang, F. Zhang, J. Wang, M. Zhao, W. Li, X. Xie, and M. Guo. Ripplenet: Prop- agating user preferences on the knowledge graph for recommender systems. In Pro- ceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM ’18, page 417–426, New York, NY, USA, 2018. Association for Computing Machinery.\n[28] X. Wang, Y. Xu, X. He, Y. Cao, M. Wang, and T.-S. Chua. Reinforced negative sampling over knowledge graph for recommendation. In Proceedings of The Web Conference 2020, WWW ’20, page 99–109, New York, NY, USA, 2020. Association for Computing Machinery.\n[29] Z. Wang, G. Lin, H. Tan, Q. Chen, and X. Liu. Ckan: Collaborative knowledge- aware attentive network for recommender systems. In Proceedings of the 43rd In- ternational ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR ’20, page 219–228, New York, NY, USA, 2020. Association for Computing Machinery.\n[30] Z. Wang, Y. Zhou, L. Hong, Y. Zou, and H. Su. Pairwise learning for neural link prediction. arXiv preprint arXiv:2112.02936, 2021.\n[31] H. Yin, M. Zhang, Y. Wang, J. Wang, and P. Li. Algorithm and system co- design for efficient subgraph-based graph representation learning. arXiv preprint arXiv:2202.13538, 2022.\n[32] F. Zhang, N. J. Yuan, D. Lian, X. Xie, and W.-Y. Ma. Collaborative knowledge base embedding for recommender systems. In Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD ’16, page 353–362, New York, NY, USA, 2016. Association for Computing Machinery.\n[33] M. Zhang and Y. Chen. Link prediction based on graph neural networks. In Pro- ceedings of the 32nd International Conference on Neural Information Processing Systems, NIPS’18, page 5171–5181, Red Hook, NY, USA, 2018. Curran Associates Inc.\n[34] M. Zhang, Z. Cui, M. Neumann, and Y. Chen. An end-to-end deep learning archi- tecture for graph classification. Proceedings of the AAAI Conference on Artificial Intelligence, 32(1), 2018.; G0109753119; https://nccur.lib.nccu.edu.tw//handle/140.119/142640; https://nccur.lib.nccu.edu.tw/bitstream/140.119/142640/1/311901.pdf
-
18
數位學習環境中教科書屬性對學習績效之影響 ; Effect of textbook attributes and e-learning platform on learning performance
Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: 數位學習平台, 教科書屬性, 學習動機, 學習風格, 學習績效, e-Learning Platform, Textbook Attributes, Motive of Learning, Learning Stytles, Learning Performance
Dateibeschreibung: 143 bytes; application/octet-stream
Relation: 一、中文部分 1.王秋華，2001，網路教學之學生學習行為與學習滿意度及學習績效的關係，大葉大學資訊管理研究所未出版碩士論文。 2.行政院新聞局，2004，2004年出版年鑑，www.gio.gov.tw/info/publish/ yearbook/list05_p191.html。 3.何祖鳳、陳俊榮、陳銘欽，1998，網路教學系統評估準則之研究，遠距教育，7，20-29。 4.何榮桂、郭再興，多媒體電腦輔助教學在網路上的發展趨勢，1996，資訊與教育，55，25-31。 5.吳玉明，1997，建構式教學策略中不同學習型態學生學習的探討，國立新竹師範學院國民教育研究所未出版碩士論文。 6.吳百薰，1998，學習風格理論探究，國教輔導，37(5)，47-53。 7.呂丰君，2001，非同步網路學習下任務型態與困難度對合作學習績效與滿意度之研究，國立中正大學資訊管理學系未出版碩士論文。 8.李隆盛，1995，高職教科書面面觀，教職園地，8，10-13。 9.李怡慧，2000，網路教學環境上群組合作學習分組方式之探討，國立中山大學資訊管理研究所未出版碩士論文。 10.李慈泉，2000，如何籌劃及執行成功的線上學程，中華人力資源會訊，91。 11.林奇賢，2000，虛擬學校之建構與應用，臺南：中小學網路學習環境與設計應用國際研討會。 12.林忠信，2001，網路學習應有的體認與作法，南投文教，15，91-93。 13.林俊宏，2002，消費者特性、新產品屬性及環境變數對創新購買意願之影響，國立成功大學企業管理研究所未出版碩士論文。 14.林建仲 鄭宗文，2001，合作式學習與問題解決—培養以問題解決為中心的網路合作學習，資訊與教育雜誌。 15.林新倫，2004，台灣圖書出版業編輯現況──如何成為一個全方位編輯人，出版界，72，32-38。 16.邱天助，1995，電訊網路與終生教育發展，教學科技與媒體，20，10-15。 17.邱玉菁，2004，數位學習之學習成果的再思考，教育資料與圖書館學，41(4)，561-581。 18.徐志彬，1999，網路非同步教學對學習效果之影響－稅法課程之例，國立台灣大學會計學研究所未出版碩士論文。 19.康瀚文，2003，臺北縣市國民中學九年一貫課程教科書選用制度之研究，國立臺灣師範大學教育研究所未出版碩士論文。 20.高廣孚，1988，教學原理，台北，五南。 21.夏天倫，2004，我國碩士在職專班回流教成效之調查研究－研究生學習動機、參與障礙及學習滿意度之探討，國立中山大學政治學研究所未出版碩士論文。 22.張春興，1991，現代心理學，台北：東華書局。 23.張春興，1992，心理學，台北：東華書局。 24.張夢凡，2004，自我導向學習傾向與學習滿意度對繼續進修意願之研究－以空中大學高雄地區學生為例，國立中山大學人力資源管理研究所碩士在職專班未出版碩士論文。 25.張履揆、梁朝雲，1998，國內外遠距教學專案之特色介紹與系統分析，視聽教育雙月刊，39(5)，23-40。 26.教育部統計處，2005，http://www.edu.tw/EDU_WEB/EDU_MGT/ STATISTICS/EDU7220001/service/sts4-3.htm?TYPE=1&UNITID=93& CATEGORYID=0&FILEID=112834 27.郭重吉，1987a，英美等國晚近對學生學習風格之研究，資優教育季刊，22，2-8。 28.郭重吉，1987b，評介學習風格之有關研究，資優教育季刊，23，7-16。 29.陳宜敬，2003，嘉義縣市國小高年級英語教師使用教科書之調查研究，國立嘉義大學國民教育研究所未出版碩士論文。 30.陳怡芬，2004，國小教師對國語教科書選用因素與使用滿意度研究，屏東師範學院國民教育研究所未出版碩士論文。 31.陳雅如，2005，產品屬性與生活型態影響消費者購買決策之研究，大葉大學事業經營研究所未出版碩士論文。 32.陳碩琳，2003，目標導向、學習滿意度與學習績效關係之研究－以國立空中大學高雄學習指導中心為例，國立中山大學人力資源管理研究所碩士在職專班未出版碩士論文。 33.麥孟生，2000，個人心理類型、自我效能及態度對電腦學習成效之影響，國立中央大學資訊管理研究所未出版碩士論文。 34.黃玉枝，1991，國中資優學生與普通學生學習風格及學校適應之比較研究，國立台灣師範大學特殊育研究所未出版碩士論文。 35.黃貝玲，2001，從線上學習的發展看企業線上訓練，電子化企業：經理人報告，12-23。 36.黃俊英、林震岩，1994。SAS 精析與實例，中國經濟企業研究所。 37.梁佳玲，2001，影響網路學習成效之因素研究，屏東科技大學資訊管理系未出版碩士論文。 38.董興國，2002，從學習理論探討影響網路學習績效因素之研究--以銘傳大學學生為例，銘傳大學資訊管理學系碩士在職專班未出版碩士論文。 39.楊家興，1993，超媒體：一個新的學習工具，教學科技與媒體 (12)，28-39。 40.楊淑婉，2003，學習評量方式與成人學習行為關係之研究，國立中正大學成人及繼續教育研究所未出版碩士論文。 41.廖錦農，2000，我國大專商管教科書行銷策略之研究，國立台北大學企業管理學系未出版碩士論文。 42.簡茂發等人，1993，信度與效度分析，社會及行為科學研究法，上冊，第13版，台北：東華書局， 324-351 43.簡綜男，1999，互動式多媒體輔助教材在電腦教學之學習成效影響研究，國立中央大學資訊管理研究所碩士論文。 44.劉水深，1984，產品規格化與策略運用，台北：東華書局。 45.劉文葵，2001，比較不同科系的大學學生在網路教學情境下之學習成效—以實踐大學為例，實踐大學企業管理研究所未出版碩士論文。 46.劉仲矩，2002，大學生對未來遠距教學相關事項看法之研究，銘傳大學製商整合計劃研討會論文集，1-9。 47.潘俊怡，1997，員工參與教育訓練的學習動機取向與受訓後自評績效之研究，大葉大學事業經營研究所未出版碩士論文。 48.蔡秀英，2001，我國高等教育整併模式研究，國立中原大學企業管理學系未出版碩士論文。 49.蔡明砡，1991，老人教育學員學習滿意度及相關因素之研究—以台北市長青學苑為例，東吳大學社會學研究所未出版碩士論文。 50.謝麗菁，1994，認知特質與訓練型態對資訊系統使用者學習績效之影響—以文書處理系統為例，淡江大學資訊管理研究所未出版碩士論文。 51.鍾宜智，2001a，「推展與落實網路學習之探討」，文教新潮，6(2)，24-27。 52.鍾宜智，2001b，非同步遠距教學中影響互動的因素與改進之道，文教新潮，6(3)，44-47。 53.藍順德，2004，二十年來國內博碩士論文教科書研究之分析，國立編譯館館刊，32，(4)，2-25。 二、英文部分 1.Ajzen, I., 1991. The Theory of Planned Behavior, Organizational Behavior and Human Decision Process, 50, 179-211. 2.Apple, M. W., 1993. Offical Knowledge: Democratic Education in a Conservative Age. New York: Routledge. 3.Apple, M. W., 1984. The political economy of text publishing. Educational Theory, 34(4), 307-319. 4.Argryris, C. & Schon, D., 1978. Organizational Learning; A Theory of Action Perspective. Reading MA：Addision-Wesley. 5.Badgett, T., & Sasndler, C., 1994. Creating Multimedia on Your PC. New York: John Wiley & Sons, Inc. 6.Ball, S., 1977. Motivation in Education. New York：Academic Press. 7.Bandura, A., 1977. Social Learning Theory. New York: General Learning Press. 8.Bardwell, R., & Breaksma, E.F., 1985. Motivation as a multifactor trait. The Journal of Psychology, 119(1), 5-14. 9.Berdeaux, John & Borden, Jill., 1984. The Adult Learner：A Handbook for Volunteer and New AET Teaachers, ERICED 253735. 10.Bostrom, R. P., Olfman, L., & Sein, M.K., 1990. The importance of learning style in end-user training. MIS Quarterly, 14(1), 101-119. 11.Chambliss, M. J., & Calfee, R. C., 1998. Textbook for Learning: Nurturing Children’s Milds. London: Blackwell. 12.Condon, S.L. & Cech, C.G., 1996. Functional Comparison of Face-to-Face and Computer-Mediated Decision Making Interactions, in Computer- Mediated Communication: Linguistic, Social and Cross-Cultural Perspectives, S.C. Herring (ed.), London: John Benjamins, (7) , 65-80. 13.Davis, F.D., Bagozzi, R. P. & Warshaw, P.R., 1989. User Acceptance of Computer Technology: A Comparison of two theoretical models, Management Science, 35, 982-1003. 14.Eccles, J., 1983. Expectancies, Valus and Academic Behavior, In J. T. Spence(Ed.) Achievement and Achievement Motives, 75-146, San Francisco: Freeman. 15.Elliott, J., 1991. Action Research for Educational Change. Milton Keynes, UK: Open University. 16.Furhmann, B. S., & Grasha, A. F.1983. A Practical Handbook for College Teacher. Boston: Little, Brown. 17.Graham, C. R., 2002. Factors for Effective Learning Groups in Face-to-Face and Virtual Environments, The Quarterly Review of Distance Education, 3(3), 307-319. 18.Gunasekaran, A., Ronald, D. M., & Dennis S. , 2002, E-learning: Research and applications,Industrial and Commercial Training, 34:2:44-53. 19.Hicks W. D., 1984. The process of entering training programs and its effects on training outcomes, Dissertation Abtracts, 44, 3564b. 20.Howard, G. S. & Maxwell, S. E., 1982. Do Grades Contaminate Student Evaluates of Instruction？, Research in High Education, 16(2), 175-188. 21.Kidd, J.R., 1976. How Adult Learn. New York: Assocation Press. 22.Kinney, N., 2001, A guide to design and testing in online psychology courses, Psychology Learning and Teaching, 1(1), 16-20. 23.Knowlton, J. Q., 1964. A conceptual scheme for the audiovisual field. Bulletin of the School of Education: Indiana University, 40, 1-42. 24.Kolb, D. A., 1984. Experiential Learning：Experience as the Source of Learning and Development. Prentice-Hall, Inc., Englewood Cliffs, New Jersey. 25.Kolb, D.A., 1976. Learning Style Inventory: Teaching Manual (Revised). Boston: Willam Mcbee. 26.Kotler, Philip, 2003. Marketing Management, Prentice Hall, New York, NY. 27.Kulik, C.C., Kulik, J.A., & Schwalb, BJ., 1986. The effectiveness of computer- based adult education: A meta-analysis. Journal of Educational Computing Research, 50, 235-252. 28.Lefkoff-Hagius, R. & C.H. Mason., 1993. Characteristic, Beneficial, and Image Attributes in Consumer in Consumer Judgments of Similarity and Preference, Journal of Consumer Research, 20. 29.Leidner, D. E. & Jarvenpaa, S. L., 1995, The use of information technology to enhance management school eduation: A theoretical view, MIS Quarterly, 19(3), 265-291. 30.Mathieson, K., 1991. Predicting User Intentions: Comparing the Technology Acceptance Model with the Theoery of Planned Behavior. Information Systems Research, 2, 173-191. 31.Mayer, R. E., 1997. Multimedia learning: Are we asking the right questions? Eductional Psychologist, 32(1), 1-19. 32.Noe R. A., 1986. Trainees’ attribute and attitudes: neglected influences on training effestiveness, Academy of Management Review, 11(4), 736-749. 33.Nunamaker J. F. Jr, Dennis, A. R. Valacich, J. S., Vogel, D., & George, J. F., 1991. Electronic meeting systems to support group work. Communications of the ACM. 34(7), 40-61. 34.Rafaeli, S. & Sudweeks, F., 1998. Interactivity on the Nets, in Network and Netplay: Virtual Groups on the Internet, F. Sudweeks, M. McLaughlin & S. Rafaeli (ed.), Menlo Park, CA: AAAI Press, 173-189. 35.Rieber, L., 1989. A Review of Animation Research in CBI. In Proceedings of Selected Research Papers Presented at the Annual Meeting of the Association for Educational Communications and Technology, 370-489, Dallas, TX. 36.Rieber, L., 1990. Animation in computer based instruction. Educational Technology Research and Development, 38(1), 77-86. 37.Robert H., Michael M., James D. R. & Sharon E. S., 2002. Instructional Media and Technologies for Learning. Pearson Education, Upper Saddle River, New Jersey. 38.Rosenberg, M. J., 2001, E-learning: Strages for Deliverning Knowledge in ther Digital Age. New York: McGraw-Hill. 39.Schunk, Dale H., 1996. Learning Ttheories: An Educational Perspective, Prentice-Hall, Inc., Englewood Cliffs, New Jersey. 40.Tim, L. W., Consuelo, W., James, G., Jason, L. F., Christine, W., & Alaina, K., 2000. E-learning: A Review of Literature. National Center for Supercomputer Applications(NCSA), University of Illinois at Urbann-Champaign. Retrieved 2/18/2004, from http://learning.ncsa.uiuc.edu/papers/edearnlit.pdf. 41.Williams, M. L., Paprock, K. & Covington, B., 1999. Distance Learning:The Essential Guide, Thousand Oaks, CA: SAGE Publications. 42.Wilson, L. D., 1993. Get moving: animation brings classroom visuals into the ‘90s. Vocational Education Journal, 68(2), 30-31. 43.Wlodkowski, Raymond J., Stimulation, 1985. Training and Development Journal, June, 38-43. 44.Yellen, R.E., Winniford, M. & Sanford, C.C., 1995. Extraversion and Introversion in Electronic-Supported Meeting, Information & Management, 28, 63-74. 45.Yi-Shun, W., 2003, Assessment of learner satisfaction with asynchronous electronic learning systems, Infromation & Management, 41(1)75-86. 46.Young, Shirley, Leland Ott, & Barbara Feigin., 1978. Some Practical Consideration in Market Segmentation. Journal of Marketing Research ,15, August, 73 47.Zhang, D., & Zhou, L., 2003, Elearning with interactive multimedia, Information Resources Management Journal, 16(4), 1-13.; https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/33342; https://tkuir.lib.tku.edu.tw/dspace/bitstream/987654321/33342/1/
-
19
Autoren:
Weitere Verfasser:
Quelle: DTIC AND NTIS
Schlagwörter: Theoretical Mathematics, Computer Systems, NETWORKS, THEORY, COMPUTER GRAPHICS, DATA BASES, INPUT, SIMULATION, CONTROL SYSTEMS, ENVIRONMENTS, DATA MANAGEMENT, MONITORING, PERFORMANCE(ENGINEERING), GRAPHS, TOPOLOGY, SKELETON, TERMINALS, UNITED KINGDOM, MASCOT Project, ACP Project, IDA Project, Theory(Graph), Attributes(Node), Analysis(Behavioral)
Dateibeschreibung: text/html
-
20
Autoren: et al.
Weitere Verfasser: et al.
Schlagwörter: 閱讀標註, 國文教學, 文言文, 閱讀理解, 閱讀動機, Reading annotation, Chinese teaching, Literary Chinese, Reading comprehension, Reading motivation
Relation: 中文文獻\n王文中、呂金燮、吳毓瑩、張郁雯、張淑慧（1999）。教育測驗與評量：教室學習觀點。台北市：五南。\n王文科（1983）。認知發展理論與教育：皮亞傑理論的應用。台北市：五南。\n王文科、王智弘（2010）。教育研究法。台北市：五南。\n王更生（1983）。國文教學新論（再版）。台北市：明文。\n王更生（1996）。國文教學面面觀。台北市：台灣師大中等教育輔導委員會。\n王初慶（1989）。中國文字結構析論。台北市：文史哲。\n王玨（2001）。現代漢語名詞研究。上海市：華東師範大學。\n王玨（2008）。文言文的教學價值。北京大學語文教育研究所中國語文課程網。檢索日期：2012年1月31日。網址：http://chinese.cersp.com/sJxzy/cYywz/200801/6423_2.html。\n王明通（1989）。中學國文教學法研究。台北市：五南。\n王瓊珠、陳淑麗（2010）。突破閱讀困難：理念與實務。台北市：心理。\n方仁豔（2008）。語文審美教育在文言文教學中的運用。南海廣播電視大學學報。2008年第1期，頁81-82。\n方鮀生（2003）。淺談高中文言文教學。黑龍江教育，2003年 17期，頁36。\n中國教育部（2004）。漢語作為外語教學能力認定辦法。檢索日期：2011年11月 22日。網址：http://www.moe.gov.cn/publicfiles/business/htmlfiles/moe/moe_621/201001/81847.html。\n左松超（2008）。 漢語語法文言篇。台北市：五南。\n史樹珍（2011）。高中文言文教學現狀與方向綜述。教師，2011年31期，頁27。\n伍立楊（2003）。文言、白話宜相安。Chinese Book Review Monthly，2003年9月。檢索日期：100年10月12日。網址：http://www.gmw.cn/02blqs/2003-09/07/31-C8FD22BE33FA2A7C48256DDE0010406C.htm。\n行政院研考會（2011）。100 年個人/家戶數位機會調查報告。檢索日期：2011年2月1日。網址：http://www.rdec.gov.tw/public/Attachment/21301483471.pdf。\n李人鳳（2011）。我看文言文教學。中國教育和科研計算機網—課堂教學改革學習材料一。檢索日期：2011年11月18日。網址：http://lxgyz.blog.edu.cn/2011/714983.html。\n李路麗（2010）。愉悅的教與學：淺析文言文趣味教學。漳州師範學院學報(哲學社會科學版)，75。\n何永清（1990）。國語語法研究。台北市：文史哲。\n肖格格（2004）。中學生厭學文言文現象的教育心理學分析。未出版之碩士論文。華中師範大學教育研究所，武漢市。\n宋曜廷、劉佩雲、簡馨瑩（2003）。閱讀動機量表的修訂及相關因素研究。中國測驗學會測驗學刊，50（1），頁47-72。\n范克南（2011）。讀懂古文很簡單：輕輕鬆鬆學好文言文。台北市：一鳴文化。\n林士敦（2003）。中學語法教學。台北市：萬卷樓。\n林秀芩（2011）。標註系統輔助國小英語模糊容忍度學習成效之研究。未出版之碩士論文。國立政治大學圖書資訊所在職專班，台北市。\n林珊如（2010）。數位時代的閱讀：青少年網路閱讀的爭議與未來。圖書資訊學刊，8（2），頁29-53。\n林建邦（2008）。以互動式練習方法建構國語科適性化數位學習活動─以文言文學習為例。未出版之碩士論文。亞洲大學資訊工程系碩士在職專班，台中市。\n林清標（1996）。林老師國中作文指引。台北市：華英。\n林進材（1999）。教學理論與方法。台北市：五南。\n吳克（2007）。如何走出高中文言文教學的困境。語文學刊，2007年8月。\n孟令茹（2011）。對高中文言文教學提幾點建議。中國教育技術裝備，頁223、129&131。\n洪榮昭（1992）。電腦輔助教學之設計原理與應用。台北市：師大書苑。\n邱貴發（1996）。情境學習理念與電腦輔助學習。台北市：師大書苑。\n邱皓政（2010）。量化研究與統計分析。台北市：五南。\n柯華葳（1993）。語文科的閱讀教學。在李詠吟編，學習輔導（頁307-349）。台北市：心理。\n柯華葳（2010）。閱讀理解教學。在王瓊珠、陳淑麗主編，突破閱讀困難：理念與實務（頁167~185）。台北市：心理。\n柯智賢（2010）。讓高中文言文教學不再枯燥。綜合天地。2010年2月，頁71。\n洪蘭（2005）。閱讀，讓你的腦更有創造力。科學人雜誌，45，頁42- 45。\n段玉裁（1815／1983）。說文解字注。新北市：漢京。\n涂金堂（2009）。教育測驗與評量。台北市：三民。\n孫春在、林珊如（2007）。網路合作學習：數位時代的互動學習環境、教學與評量。台北市：心理。\n孫蔓娜、張和新（2007）。高中語文學習策略。語文學刊，2007卷9期。\n黃六平（1983）。漢語文言語法綱要。新北市：漢京。\n黃居仁、盧秋蓉、張如瑩（2004）。語言知識網路與數位學習—以「文國尋寶記」為例。在羅鳳珠主編，語言，文學與資訊（頁487~536）。新竹市：清大。\n黃政傑、吳俊憲主編（2006）。合作學習發展與實踐。台北市：五南。\n黃慶萱（1988）。修辭學。台北市：三民。\n黃錦鋐（1997）。國文教學法。台北市：三民。\n 陳平原（2002）。當代中國的文言與白話。中山大學學報（社會科學版），2002年3月。檢索日期：2011年10月12日。網址：http://www.eyjx.com/eyjx/1/ReadNews.asp?NewsID=4403。\n陳必祥（1991）。文言文知識講話。台北市：謙謙。\n陳年興、楊錦潭（2006）。數位學習：理論與實務。新北市：博碩文化。\n陳志銘（2009）。數位圖書館支援數位學習模式發展與教學應用。在陳志銘著，創新數位學習模式與教學應用。台北市：文華。\n陳志銘、韋祿恩、吳志豪（2011）。認知型態與標註品質對閱讀成效之影響與關聯研究：以數位閱讀標註系統為例。圖書與資訊學刊，3:1= 76，頁1-25。\n陳李綢（1992）。認知發展與輔導。台北市：心理。\n陳秋虹（2004）。論「中國古典小說」教學活動之設計與評估：兼談國文電腦輔助教學之應用。國立台灣師範大學技術及職業教育學報，8 期，頁65~79。\n陳勇汀（2010）。合作式閱讀標註之知識萃取機制研究。未出版之碩士論文。國立政治大學圖書資訊與檔案學研究所，台北市。\n陳峰津（1882）。布魯納教育思想之研究。台北市：商務。\n陳昭雄編譯（1988）。電腦輔助教學概論。台北市：松崗。\n陳登吉、賴阿福（2005）。網路與教育。台北市：空中大學。\n陳聖宇（2006）。時代思想與文言文地位的變遷。教研天地，2006年11月，頁4-7。\n陳滿銘（2001）。章法學新裁。台北市：萬卷樓。\n陳耀茂（2004）。多變量分析的SPSS使用手冊。台北市：鼎茂圖書。\n陳德懷、黃亮華（2003）。邁向數位學習社會。台北市：遠流。\n教育部中等教育司（2008）。高中國文課程綱要。檢索日期：2011年3月27日。網址：http://www.edu.tw/files/site_content/B0035/普通高級中學必修科目「國文」課程綱要.pdf.\n張中行（1992）。文言常識。台北市：新文豐。\n張政烺（n.d.）。六書。《中國大百科智慧藏》。\n張春興（1986）。心理學（修訂十七版）。台北市：東華。\n張春興、林清山（1987）。教育心理學（十四版）。台北市：東華。\n張俊卿、閻慧平（2009）。高中文言文教學爭議。語文學刊，2009年1月, 頁31-32。\n張斌、胡裕樹（n.d.）。漢語語法。《中國大百科智慧藏》。\n張瓊云（2008）。運用圖像化教學於國小文言文學習成效之研究。未出版之碩士論文。國立台東大學教育學系，台東市。\n張靜（1994）。漢語語法疑難探解。台北市：文史哲。\n陸雲宦（2010）。淺談高中文文教學。文學教育，2010年3月，頁40-41。\n 郭生玉（2004）。教育測驗與評量。高雄市：復文。\n許婉琳（1997）。透過合作學習法閱讀「伊索寓言」對提升高中生英語閱讀動機的影響。未出版之碩士論文。國立高雄師範大學英語學系，高雄市。\n許菱祥（1982）。中文文法。台北市：大中國。\n梁桂珍（1994）。怎樣寫出生動的文章：中學生作文。台北市：東大。\n舒兆民（2010）。華語文教學講義。台北市：新學林。\n華仲麐（n.d.）。文言文。《中華百科全書典藏版》。\n曾佩芬（2011）。100學年度學科能力測驗試題分析—國文考科（大學入學考試中心研究報告，試題分析—學測）。台北市：大學入學考試中心。檢索日期：2012年1月1日。網址：http://www.ceec.edu.tw/Research/ResearchList.htm。\n曾強（2009）。建構主義學習理論指導下的高中文言文教學與實踐。語文學刊，2009年第10期，頁161-163。\n葉連祺（2000）。教師自編紙筆式測驗試題類型之探討。研習資訊，17（4），頁42-53。\n 楊世瑩（2008）。SPSS統計分析實務。台北市：旗標。\n楊如雪（1998）。文法ABC。台北市：萬卷樓。\n齊瑮琛（2010）。不同之多媒體教材組合模式對文言文學習成效影響之研究。未出版之碩士論文。國立台灣海洋大學教育研究所，基隆。\n壽大衛（2001）。資訊網路教學。台北市：師大書苑。\n熊江平（1993）。淺談中學文言文閱讀教學。課程．教材．教法。1993年6月，頁10-15。\n趙紅（2011）。文言文教學的三重境界。綜合天地，2011年11期，頁30。\n趙國旺（2010）。再談文言文教學的價值和方法。語文教學河南教育(基教版)，Z1期，頁65。\n劉大杰（1984）。中國文學批評史。台北市：文匯堂。\n劉大杰（1984）。中國文學發展史。台北市：華正。\n劉國鳳、李萬堡（2007）。文言文教學的四大困惑。語文學刊。2007年9月，頁34-36。\n劉銀龍（2009）。如何讓文言文教學「活」起來。綜合天地，2009年7月，頁54-55。\n鄭昭明（1993）。認知心理學：理論與實踐。台北市：桂冠。\n龍應台（2005）。守在狹隘的現代裡。海燕，2005年第9期。\n謝枝明（1994）。高中國文國學常識總匯。台北市：一流。\n謝智明（2007）。玩修辭。台北市：南一。\n藤永 保（1992）。縱論發展心理學（蘇冬菊譯）。台北市：心理。\n羅秀芬編譯（1985）。電腦輔助教學。台北市：五南。\n羅家駿、曹忠學、葉修文（2005）。電子文件之線上註記系統發展與閱讀教學應用。中原學報,，32(2)，頁193-214。\n羅鳳珠（2002／2004）。以人物為主軸的歷史文化網數位資料庫設計—以蘇軾為例。在羅鳳珠主編，語言，文學與資訊（頁537~573）。新竹市：清大。\n饒永國（2007）。如何提高高中學生文言文閱讀水平。現代語文，2007年5月，頁89-90。\n籃玉如（2012）。設計式研究方法在數位學習研究的應用。在宋曜廷主編，數位學習研究方法（頁239~269）。台北市：高等教育。\nAdler, M.J. & van Doren, V.（2003）。如何閱讀一本書（How to read a book）（郝明義、朱衣譯）。台北市：商務。\n Anderson, L.W., Krathwohl, D,R.（2009）。學習．教學和評估的分類學—布盧姆教育目標分類學修訂版（A taxonomy for learning, teaching, and assessing—arevision of bloom’s taxonomy of educational objectives）（皮連生主譯）。中國北京：華東師範大學。\nB‧A‧Cyxomjnhcknn（1984）。給教師的建議（To the recommendations of teachers）（杜殿坤譯）。北京市：教育科學。\nBandura, A.（1995）。社會學習理論（Social learning theory）（周曉虹譯）。台北市：桂冠。\nBell-Gredler, M. E.（1986）。教學理論：學習心理學的取向（Learning and instruction: Theory into practice）（盧雪梅譯）。台北市：心理。\nBloom, B.S., Engelhart, M.D., Furst, E.J., Hill, W.H. & Krathwohl, D.R. (eds)（1983）。認知領域目標分類（Taxonomy of Educational Objectives. Handbook Ι: Cognitive Domain）（王文科、吳清基、謝水南、張玉成、王振德、裘友善、洪碧霞譯）。高雄市：復文。（原作1956年出版）\nBringuier, J.-C.（1996）。皮亞傑訪談錄（二版）（Conversations libres avec Jean Piaget）（Gulati, B.M. trans.）（劉玉燕譯）。台北市：書泉。\nBruner, J.S.（1995）。教育的歷程（The Process of education : a landmark in educational theory）（邵瑞珍譯）。台北市：五南。\nDixon-Krauss, L.（Ed.）（2001）。教室中的維高斯基：仲介的讀寫教學與評量（Vygotsky in the classroom: mediated literacy instruction and assessment）（谷瑞勉譯）。台北市：心理。\nGagné, E.D., Yekovich, C.W. & Yekovich, F. R.（1998）。教學心理學:學習的認知基礎（The cognitive psychology of school learning）（岳修平譯）。台北市：遠流。\nGoodman, K.（1998）。談閱讀（On reading）（洪月女譯）。台北市：心理。（原作1927出版）\nHeinich, R., Molenda, M., Russell, J. D., & Smaldino, S. E.（2002）。教學媒體與學習科技（Instructional media and technology for learning）（7/E）（張霄亭總校閱）。台北市：雙葉。\nKrashen, S.D.（2009）。閱讀的力量（The power of reading: insights from the research）（李玉梅譯）。台北市：心理。\nMayer, R.E.（1990）。教育心理學：認知取向（Educational psychology: A cognitive approach）（林清山譯）。台北市，遠流。\nMayer, R.E.（1984）。認知心理學（The promise of cognitive psychology）（洪碧霞、黃瑞煥、陳婉玫等譯）。高雄市：復文。\nMiller, D.（2010）。閱讀，是孩子最重要的天賦（The book whisperer: awakening the inner reader in every child）（羅慕謙譯）。台北市：高寶國際。（原作2009年出版）\nRobb, L.（2003）。中學生閱讀策略（Teaching reading in middle school）（趙永芬譯）。台北市：天衛文化。（原作2000年出版）\nVygotsky, L.S.（1997）。社會中的心智:高層次心理過程的發展（Mind in society : the development of higher psychological processes） ( Cole, M., Steiner, V.J., Scribner, S & Souberman E.,Eds.)（蔡敏玲、陳正乾等譯）。台北市：心理。\n\n英文文獻\nAdler A., Gujar A., Harrison B. L., O’Hara K. & Sellen A. (1998). A diary study of work-related reading: Design implications for digital reading devices. In Proceedings of the SIGCHI conference on Human factors in computing systems.(pp.241-248). New York: ACM Press.\nAmer, A. ( 2006). Reflections on Bloom`s revised taxonomy. Electronic Journal of Research in Educationsl Psychology. 4(1), 2113-230.\nAnonymous (1999). Letters. Dr. Dobb”s Journal. 24. 11:10. \nBaker, L. & Wigfield A. (1999). Dimensions of children`s motivation for reading and their relations to reading activity and reading achievement. Reading Research Quarterly, 34(4), 52-77.\nBall, E., Franks,H., Jenkins,J., McGrath,M. & Leigh, J. (2009). Annotation is a valuable tool to enhance learning and assessment in student essays. Nurse Education Today, 29, 284–291\nBandura, A. (1988). Organizational application of social cognitive theory. Australian Journal of Management, 13(2), 275-302.\nBederson, B.B., Hollan, J.D., Stewart, J., Rogers, D., Druin, A. & Vick, D. (1996). A Zooming Web Browser. Retrieved February 12, 2012, from https://www.cs.umd.edu/hcil/jazz/learn/papers/spie-96-webbrowser.pdf\nBond, G. L., Tinker, M. A., Wasson, B. B., & Wasson, J. B. (1994). Reading difficulties: Their diagnosis and correction. Boston: Alleyn and Bacon.\nBransford, J. D., & Johnson, M. K. (1972). Contextual prerequisites for understanding: Some investigations of comprehension and recall. Journal of Verbal Learning and Verbal Behavior, 11, 717-726.\nChang, K. E., Lan, Y. J., Chang, C.M., & Sung, Y. T. (2010). Mobile‐device‐supported strategy for Chinese reading comprehension. Innovations in Education and Teaching International, 47:1, 69-84.\nClark, C. & Akerman, R. (2008). Being a Reader—The relationship with gender. Retrieved April 16, 2012, from: http://www.literacytrust.org.uk/research/nlt_research/267_being_a_reader_the_relationship_with_gender\nCoddington, C. S., & Guthrie, J. T. (2009). Teacher and student perceptions of boys’ and girls’ reading motivation. Reading Psychology, 30, 225-249.\nCreswell, J. W.(2008). Educational research: planning, conducting, and evaluating quantitative and qualitative research (3rd ed.). Upper Saddle River, N. J:Pearson Educational, Inc.\nCronbach, L. J. (1951). Coefficient alpha and internal the structure of tests. Psychometrika, 16(3), 297-334.\nDawson, L., Venn, M. L. & Gunter, P. L. (2000). The effects of teacher versus computer re Dawson, L., Venn, M. L. & Gunter ading models. Behavioral Disorders, 25(2), 105-113.\nDole, J. A., Duffy, G. G., Roehler, L. R., & Pearson, P. D. (1991). Moving from the old to the new: Research on reading comprehension instruction. Review of Educational Research, 61(2), 239-264.\nEanet, M. & Manzo, A. V. (1976). REAP. A strategy for improving reading/ writing/ study skills. Journal of Reading, 19, 647-652.\nEvans, S. S., Evans, W. H. & Mercer, C. D. (1986). Assessment for instruction. Boston: Allyn and Bacon.\nFarzan, R. & Brusilovsky, P. (2008). AnnotatEd: A social navigation and annotation service for web-based educational resources. New Review of Hypermedia and Multimedia, 14(1), 3-32.\n Gay, L. R. (c1992). Educational research: Competencies for analysis and application (4th ed.) . New York : Merrill.\n Gay, L. R., Mills, G, E. & Airasian, P. (2009). Educational research: Competencies for analysis and applications (9th ed.). Upper Saddle River, N. J:Prentice Hall.\n Goodman, K.S. (1967). Reading: A psycholinguistic guessing game. Journal of the Reading Specialist. 6(1), 126-135.\nGoodman, K. S. (1970). Behind the eyes: what happens in reading. In K. S. Goodman & O. S. Niles(Eds.), Reading: Process and Program. Urbana, IL.:National Council of Teachers of English.\nGough, P. B. (1972). One second of reading. In F. J. Kavanagh & G. Mattingly (Eds.), Language by ear and by eye (pp. 331-358). Cambridge, MA: MIT Press.\nGraesser, A. C., Singer, M. & Trabasso, T. (1994). Constructing inferences during narrative text comprehension. Psychological Review, 101(3), 371-395.\nGuthrie, J.T, Schafer, W.D, & Huang, C. (2001). Benefits of opportunity to read and balanced instruction on the NAEP. Journal of Educational Research, 94(3), 145-162.\nGuthrie, J. T., Van Meter, P., McCann, A. D., Wigfield, A., Bennett, L., Poundstone, C.C., Rice, M.E., Faibisch, F.M., Hunt, B. & Mitchell, A.M. (1996). Growth of literacy engagement: Changes in motivations and strategies during Concept-Oriented Reading Instruction. Reading Research Quarterly, 31(3), 306-332.\nGuthrie, J.T., Klauda, S.L. & Morrison, D.A. (in press). Motivation, Achievement, and Classroom Contexts for Information Book Reading. In Guthrie, J. T., Wigfield, A., & Klauda, S. L. Eds. Adolescents` engagement in academic literacy. Sharjah, UAE: Bentham Science Publishers. \nGuthrie, , Wigfield, A., Humenick, N. M., Perencevich, K. C., Taboada, A. & Barbosa, P. (2006). Influences of stimulating tasks on reading motivation and comprehension. Journal of Educational Research , 99(4), 232-245. \nGuthrie, J. T., Wigfield, A., Metsala, J. L., & Cox, K. E. (1999). Motivational and cognitive predictors of text comprehension and reading amount. Scientific Studies of Reading, 3(3), 231-256.\nHayes, B.L. (1991). The effective teaching reading. In B.L.Hayes(Ed.). Effective strategies for teaching reading. Needham Heights, MA: Allyn & Bacon.\nHidi, S., & Anderson, V. (1986). Producing writing summaries: Task demands, cognitive operations, and implications for instruction. Review of educational research, 56(4), 473-493.\nHunter, J. (2009). Collaborative semantic tagging and annotation systems. Annual Review of Information Science and Technology, 43, 1–84.\nIvey, G. & Broaddus, K. (2001). "Just Plain Reading": a survey of what makes students want to read in middle school classrooms. Reading Research Quarterly, 36(4): 350-377. (Eric Document Reproduction Service, No. EJ634592)\nJust, M. A., & Carpenter, P. A. (1980). A theory of reading: from eye fixation to comprehension. Psycholoical Review, 87, 329-354.\nKaiser, H.F. (1974). An index of factorial simplicity. Psychometrika, 39, 31-36.\nKassarjian, H.H. (1977). Content analysis in consumer research. Journal of Consumer Research, 4 (1), 8-18.\nKawase, R., Herder, E. & Nejdl, W. (2009). A comparison of paper-based and online annotations in the workplace. In Proceedings of the 4th European Conference on Technology Enhanced Learning: Learning in the Synergy of Multiple Disciplines. (pp. 240 - 253). New York: ACM Press.\nKawase, R., Papadakis, G., Herder, E. & Nejdl, W. (2010). The impact of bookmarks and annotations on refinding information. In Proceedings of the 21st ACM conference on Hypertext and hypermedia.(pp. 29-34). New York: ACM Press.\nKeller, J. M. & Suzuki, K. (2004). Learner motivation and E-learning design: A multinationally validated process. Journal of Educational Media,29(3), 229-239. \nLeung, L. (2004). Net-generation attributes and seductive properties of the internet as predictors of online activities and internet addiction. CyberPsychology & Behavior, 7(3), 333-348.\nLerner, J.W. (1988). Learning disabilities: Theories, diagnosis,and teaching strategies(5th ed.). Boston: Houghton Mifflin Company.\nManzo, A.V. (1979). The request procedure. Journal of Reading, 13, 123-126.\nMarshall, C. C. (1997). Annotation: from paper books to the digital library. In Proceedings of the second ACM international conference on Digital libraries. (pp. 131-140). New York: ACM Press.\nMarshall, C. C. (1998b). Toward an ecology of hypertext annotation. In Proceedings of the ninth ACM conference on Hypertext and hypermedia : links, objects, time and space-structure in hypermedia systems: links, objects, time and space-structure in hypermedia systems. (pp. 40-49). New York: ACM Press.\nMarshall, C. C. (1998a). The future of annotation in a digital (paper) world. In Proceedings of the 35th Annual GSLIS Clinic: Successes and Failures of Digital Libraries. University of Illinois at Urbana-Champaign.\nMostefai, B., Azouaou, F. & Balla, A. (2012). SQAR: An annotation-based study process to enhance the learner’s personal learning. Towards Learning and Instruction in Web 3.0, Part 1, 17-33.\nOED (2011). Annotation. Oxford English Dictionary.\nO’Hara, K. & Sellen, A. (1997). A comparison of reading paper and on-line documents. In Proceedings of the SIGCHI conference on Human factors in computing systems( pp. 335-342). ACM New York, NY, USA.\nOvsiannikov, I. A., Arbib, M. A., McNeill, T. H. (1999). Annotation Technology. International Journal of Human-Computer Studies, 50(4), 329-362.\nPapert, S. (1993). The children`s machine: Rethinking school in the age of the computer. New York: Basic Books.\nPearson, P. D., & Johnson, D. D. (1978). Teaching reading comprehension. New York, NY: Holt, Rinehart & Winston.\nPressley, M., Johnson, C.J., Symons, S., McGoldric, J.A., & Kurita, J.A. (1989). Strategies that improve children’s memory and comprehension of text. Elementary School Journal, 90, 3-32.\nPorter-O’Dnnell, C. (2004). Beyond the yellow highlighter: Teaching annotation skills to improve reading comprehension. English Journal, 93(5), 82-89.\nQuade. A. M. (1996). An assessment of retention and depth of processing associated with notetaking using traditional paper and pencil and on-line notepad during computer-delivered instruction. (Eric Document Reproduction Service, No.ED397 825)\nResnick, M. (1996). Distributed constructionism. Retrieved February 12, 2012, from http://web.media.mit.edu/~mres/papers/Distrib-Construc/Distrib-Construc.html\nPintrich, P. R., & DeGroot, E. V. (1990). Motivational and self-regulated learning components of classroom academic performance, Journal of Educational Psychology, 82(1), 33-40.\nRobinson, F. (1961). Study skills for superior students in secondary schools. The Reading Teacher, 25, 29-33.\nRumelhart, D. E. (1977). Toward an interactive model of reading. In S. Dornic (Ed.). Attention and Performances (pp. 573-603). New York: Academic Press.\nRumelhart, D. E. (1980). Schemata: The building blocks of cognition. In R. Spiro, B. Bruce, & W. Brewer (Eds.), Theoretical Issues in Reading Comprehension. Hillsdale, NJ: Erlbaum.\nRumelhart, D. E. (1985). Toward an interactive model of reading. In H. Singer & R. B. Ruddel (Eds.), Theoretical Models and Processes of Reading (3rd ed., pp. 722-750). Newark, Delaware: International Reading Association, Inc.\nSpodek, B. (1985). Teaching in the early years. Englewood Cliffs, N.J.: Prentice-Hall.\nStauffer, R. G. (1969). Teaching reading as a thinking process. New York: Harper and Row.\nSwaby, B. E. R. (1989). Diagnosis and correction of reading difficulties. Boston: Allyn and Bacorn.\nTurkle, S. (1995). Life on the screen: identity in the age of the internet. New York: Simon and Schuster.\nvan Dam, A. (1988). Hypertext ’87 keynote address. Communications of the ACM, 31(7), 887-895.\nWigfield, A. & Guthrie, J. T. (1997). Relations of children`s motivation for reading to the amount and breadth of their reading. Journal of Educational Psychology, 89, 420- 432.\nWigfield, A., Guthrie, J. T., Perencevich, K. C., Taboada, A., Klauda, S. L., McRae, A., & Barbosa, P. (2008). The role of reading engagement in mediating effects of reading comprehension instruction on reading outcomes. Psychology in the Schools, 45, 432- 445.\nWolfe, J. (2002). Annotation technologies: a software and research review. Computers and Composition, 19(4), 471-497.\nWolfe, J. (2002). Marginal pedagogy: how annotated texts affect a writing-from-sources task. Written Communication, 19(2), 297-333. \nYang, S.J.H., Zhang, J., Su, A.Y.S. & Tsai, J.J.P. (2011). A collaborative multimedia annotation tool for enhancing knowledge sharing in CSCL. Interactive Learning Environments, 19(1), 45-62.\nZurita, G., & Nussbaum, M. (2004). Computer supported collaborative learning using wirelessly interconnected handheld computers. Computers & Education, 42, 289–314.; G0999130071; https://nccur.lib.nccu.edu.tw//handle/140.119/54626
Nájsť tento článok vo Web of Science