參考文獻 |
邱秉誠(2016)。個人電腦模擬及合作電腦模擬對於合作科學問題解決之影響。國立中央大學網路學習科技研究所碩士論文,桃園市。
林尊韋(2020)。不同電腦模擬模式對於合作問題解決過程之影響 : 非同步、同步和分工模式。國立中央大學網路學習科技研究所碩士論文,桃園市。
教育部(2016)。2016-2020 資訊教育總藍圖。臺北市:作者。
黃福坤(2006)。透過物理模擬動畫進行物理教學與學習-介紹簡易模擬動畫設計環境Easy Java Simulation。物理雙月刊,28,3,536-543。
彭郁翔(2018)。不同電腦模擬模式對於合作科學問題解決之影響:以眼動進行分析。國立中央大學網路學習科技研究所碩士論文,桃園市。
謝翌甄(2019)。合作式電腦模擬於科學問題解決之影響:以眼動進行分析(未出版之碩士論文)。國立中央大學網路學習科技研究所碩士論文,桃園市。
Adams, W. K., & Wieman, C. E. (2011). Development and validation of instruments to measure learning of expert‐like thinking. International Journal of Science Education, 33(9), 1289-1312.
Bodemer, D. (2011). Tacit guidance for collaborative multimedia learning. Computers in Human Behavior, 27(3), 1079-1086.
Bodemer, D., & Dehler, J. (2011). Group awareness in CSCL environments. Computers in Human Behavior,27(3), 1043-1045.
Boucheix, J. M., & Lowe, R. K. (2010). An eye tracking comparison of external pointing cues and internal continuous cues in learning with complex animations. Learning and Instruction, 20(2), 123-135.
Buder, J. (2011). Group awareness tools for learning: Current and future directions. Computers in Human Behavior, 27(3), 1114-1117.
Buder, J., & Bodemer, D. (2008). Supporting controversial CSCL discussions with augmented group awareness tools. International Journal of Computer-Supported Collaborative Learning, 3(2), 123-139.
Chang, C. J., Chang, M. H., Chiu, B. C., Liu, C. C., Chiang, S. H. F., Wen, C. T., ... & Wu, S. W. (2017). An analysis of student collaborative problem solving activities mediated by collaborative simulations. Computers & Education, 114, 222-235.
Chang, C. J., Liu, C. C., Wu, Y. T., Chang, M. H., Chiang, S. F., Chiu, B. C., ... & Wu, S. W. (2016, January). Students′ perceptions on problem solving with collaborative computer simulation. In 24th International Conference on Computers in Education, ICCE 2016 (pp. 166-168). Asia-Pacific Society for Computers in Education.
Chi, M. T., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational psychologist, 49(4), 219-243.
Dede, C. (2009). Immersive Interfaces for Engagement and Learning. Science, 323(5910), 66–69.
De Koning, B. B., Tabbers, H. K., Rikers, R. M., & Paas, F. (2010). Attention guidance in learning from a complex animation: Seeing is understanding?. Learning and instruction, 20(2), 111-122.
Deslauriers, L., Schelew, E., & Wieman, C. (2011). Improved Learning in a Large-Enrollment Physics Class. Science, 332(6031), 862–864.
Dourish, P., & Bellotti, V. (1992, December). Awareness and coordination in shared workspaces. In Proceedings of the 1992 ACM conference on Computer-supported cooperative work (pp. 107-114).
Endsley, M. R. (1995). Toward a theory of situation awareness in dynamic systems. Human factors, 37(1), 32-64.
Engelmann, T., Dehler, J., Bodemer, D., & Buder, J. (2009). Knowledge awareness in CSCL: A psychological perspective. Computers in Human Behavior, 25(4), 949-960.
Esquembre, F. (2004). Easy Java Simulations: A software tool to create scientific simulations in Java. Computer physics communications, 156(2), 199-204.
Gredler, M. E. (1996). Educational games and simulations: A technology in search of a (research) paradigm. In D. H. Jonassen (Ed.), Handbook of research on educational communications and technology(pp. 521-540). New York: Macmillan.
Griffin, P., McGaw, B., & Care, E. (2012). Assessment and teaching of 21st century skills: Methods and Approach. New York, NY: Springer.
Gross, T., Stary, C., & Totter, A. (2005). User-centered awareness in computer-supported cooperative work-systems: Structured embedding of findings from social sciences. International Journal of Human-Computer Interaction, 18(3), 323-360.
Gutwin, C., & Greenberg, S. (2002). A descriptive framework of workspace awareness for real-time groupware. Computer Supported Cooperative Work, 11(3-4), 411-446.
Gutwin, C., & Greenberg, S. (2004). The importance of awareness for team cognition in distributed collaboration. In E. Salas & S. M. Fiore (Eds.), Team cognition: Understanding the factors that drive process and performance (p. 177–201). American Psychological Association.
Hao, J., Liu, L., von Davier, A., Kyllonen, P., & Kitchen, C. (2016). Collaborative Problem Solving Skills versus Collaboration Outcomes: Findings from Statistical Analysis and Data Mining. In EDM (pp. 382-387).
Hessels, R. S., Kemner, C., van den Boomen, C., & Hooge, I. T. (2016). The area-of-interest problem in eyetracking research: A noise-robust solution for face and sparse stimuli. Behavior research methods, 48(4), 1694-1712.
Hoegl, M., & Gemuenden, H. G. (2001). Teamwork quality and the success of innovative projects: A theoretical concept and empirical evidence. Organization science, 12(4), 435-449.
Holmqvist, K., Nyström, M., Andersson, R., Dewhurst, R., Halszka, J., & van de Weijer, J. (2011). Eye Tracking : A Comprehensive Guide to Methods and Measures. Oxford University Press.
Hovardas, T., Pedaste, M., Zacharia, Z., & de Jong, T. (2018). Model-Based Inquiry in Computer-Supported Learning Environments: The Case of Go-Lab. Cyber-Physical Laboratories in Engineering and Science Education, 241–268.
Hsu, C. Y., Chiou, G. L., & Tsai, M. J. (2016, August). A pilot study on developing and validating a fixation-based scaffolding learning system. Poster presented at 2016 International Conference of East-Asian Association for Science Education. Tokyo, Japan.
Infante, C., Hidalgo, P., Nussbaum, M., Alarcón, R., & Gottlieb, A. (2009). Multiple Mice based collaborative one-to-one learning. Computers & Education,53(2), 393-401.
Janssen, J., & Bodemer, D. (2013). Coordinated computer-supported collaborative learning: Awareness and awareness tools. Educational psychologist, 48(1), 40-55.
Janssen, J., Erkens, G., Kanselaar, G., & Jaspers, J. (2007). Visualization of participation: Does it contribute to successful computer-supported collaborative learning?. Computers & Education, 49(4), 1037-1065.
Järvelä, S., Kirschner, P. A., Panadero, E., Malmberg, J., Phielix, C., Jaspers, J., & Järvenoja, H. (2014). Enhancing socially shared regulation in collaborative learning groups: designing for CSCL regulation tools. Educational Technology Research and Development, 63(1), 125–142.
Just, M. A., & Carpenter, P. A. (1976). Eye fixations and cognitive processes. Cognitive psychology, 8(4), 441-480.
Just, M. A., & Carpenter, P. A. (1980). A theory of reading: From eye fixations to comprehension. Psychological Review, 87, 329-354.
Justice, L. M., Skibbe, L., Canning, A., & Lankford, C. (2005). Pre‐schoolers, print and storybooks: An observational study using eye movement analysis. Journal of Research in Reading, 28(3), 229-243.
Kahveci, M., & Orgill, M. (Eds.). (2015). Affective dimensions in chemistry education. Springer Berlin Heidelberg.
Ke, F., & Carafano, P. (2016). Collaborative science learning in an immersive flight simulation. Computers & Education, 103, 114-123.
Knoblich, G., Ohlsson, S., & Raney, G. E. (2001). An eye movement study of insight problem solving. Memory and Cognition, 29(7), 1000-1009.
Laurillard, D. (2013). Teaching as a design science: Building pedagogical patterns for learning and technology. Routledge.
Lindgren, R., Tscholl, M., Wang, S., & Johnson, E. (2016). Enhancing learning and engagement through embodied interaction within a mixed reality simulation. Computers & Education, 95, 174-187.
Liu, C. Y., Wu, C. J., Wong, W. K., Lien, Y. W., & Chao, T. K. (2017). Scientific modeling with mobile devices in high school physics labs. Computers & Education, 105, 44-56.
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational psychologist, 38(1), 43-52.
Marwan, N., & Kurths, J. (2002). Nonlinear analysis of bivariate data with cross recurrence plots. Physics Letters A, 302(5-6), 299-307.
Marwan, N., Romano, M. C., Thiel, M., & Kurths, J. (2007). Recurrence plots for the analysis of complex systems. Physics reports, 438(5-6), 237-329.
Munneke, L., Andriessen, J., Kanselaar, G., & Kirschner, P. (2007). Supporting Interactive Argumentation: Influence of Representational Tools on Discussing a Wicked Problem. Computers in Human Behavior, 23(3): 1072-1088
National Research Council (2011). Assessing 21st century skills. Washington, DC: National
Academies Press.
National Research Council. (2011). Learning science through computer games and simulations. National Academies Press.
Olsen, J. K., & Finkelstein, S. (2017). Through the (thin-slice) looking glass: An initial look at rapport and co-construction within peer collaboration. Philadelphia, PA: International Society of the Learning Sciences.
Otterbring, T., Wästlund, E., Gustafsson, A., & Shams, P. (2014). Vision (im)possible? The effects of in-store signage on customers’ visual attention. Journal of Retailing and Consumer Services, 21(5), 676–684.
Pereira, M. L. F., Marina von Zuben, A. C., Aprahamian, I., & Forlenza, O. V. (2014). Eye movement analysis and cognitive processing: detecting indicators of conversion to Alzheimer’s disease. Neuropsychiatric disease and treatment, 10, 1273.
Pifarré, M., Cobos, R., & Argelagós, E. (2014). Incidence of group awareness information on students′ collaborative learning processes. Journal of Computer Assisted Learning, 30(4), 300-317.
Poole, A., & Ball, L. J. (2006). Eye tracking in HCI and usability research. In Encyclopedia of human computer interaction (pp. 211-219). IGI Global.
Price, A. M., Perkins, K. K., Holmes, N. G., & Wieman, C. E. (2018). How and why do high school teachers use PhET interactive simulations?. Learning, 33, 37-7.
Rayner, K. (1978). Eye movements in reading and information processing. Psychological Bulletin, 85(3), 618–660.
Rayner, K. (1998). Eye movements in reading and information processing: 20 years of research. Psychological bulletin, 124(3), 372.
Rayner, K. (2009). Eye movements and attention in reading, scene perception, and visual search. The quarterly journal of experimental psychology, 62(8), 1457-1506.
Richardson, D. C., & Dale, R. (2005). Looking to understand: The coupling between speakers′ and listeners′ eye movements and its relationship to discourse comprehension. Cognitive science, 29(6), 1045-1060.
Rutten, N., van Joolingen, W. R., & van der Veen, J. T. (2012). The learning effects of computer simulations in science education. Computers & Education, 58(1), 136–153.
Stahl, G., Koschmann, T., & Suthers, D. D. (2006). Computer-supported collaborative learning. In R. K. Sawyer (Ed.), Cambridge handbook of: The learning sciences (pp. 409–425). New York, NY: Cambridge University Press
Sanders, M. S., & McCormick, E. J. (1987). Human factors in engineering and design. New York: McGraw-Hill.
Schneider, B., Abu-El-Haija, S., Reesman, J., & Pea, R. (2013, April). Toward collaboration sensing: applying network analysis techniques to collaborative eye-tracking data. In Proceedings of the Third International Conference on Learning Analytics and Knowledge (pp. 107-111).
Schneider, B., & Pea, R. (2013). Real-time mutual gaze perception enhances collaborative learning and collaboration quality. International Journal of Computer-Supported Collaborative Learning,8(4), 375-397.
Sharma, K., Leftheriotis, I., & Giannakos, M. (2020). Utilizing Interactive Surfaces to Enhance Learning, Collaboration and Engagement: Insights from Learners’ Gaze and Speech. Sensors, 20(7), 1964.
Slykhuis, D. A., Wiebe, E. N., & Annetta, L. A. (2005). Eye-tracking students′ attention to PowerPoint photographs in a science education setting. Journal of Science Education and Technology, 14(5-6), 509-520.
Smith, S. G., & Sherwood, B. A. (1976). Educational uses of the PLATO computer system. Science, 192(4237), 344-352.
Songer, N. B., & Linn, M. C. (1991). How do students′ views of science influence knowledge integration?. Journal of research in science teaching, 28(9), 761-784.
Susac, A. N., Bubic, A., Kaponja, J., Planinic, M., & Palmovic, M. (2014). Eye movements reveal students′ strategies in simple equation solving. International Journal of Science and Mathematics Education, 12(3), 555-577.
Thomas, M. (Ed.). (2013). Pedagogical considerations and opportunities for teaching and learning on the web. IGI Global.
Trilling, B., & Fadel, C. (2009). 21st century skills: Learning for life in our times. John Wiley & Sons.
Tsai, M. J., Hou, H. T., Lai, M. L., Liu, W. Y., & Yang, F. Y. (2012). Visual attention for solving multiple-choice science problem: An eye-tracking analysis. Computers & Education, 58(1), 375-385.
Van Gog, T., Jarodzka, H., Scheiter, K., Gerjets, P., & Paas, F. (2009). Attention guidance during example study via the model’s eye movements. Computers in Human Behavior, 25(3), 785-791.
Van Gog, T., Paas, F., Van Merriënboer, J. J., & Witte, P. (2005). Uncovering the problem-solving process: Cued retrospective reporting versus concurrent and retrospective reporting. Journal of Experimental Psychology: Applied, 11(4), 237.
Villamor, M., & Rodrigo, M. M. (2017). Impact of Both Prior Knowledge and Acquaintanceship on Collaboration and Performance: A Pair Program Tracing and Debugging Eye-Tracking Experiment. In Proceedings of the 25th International Conference in Computers in Education (pp. 182-187).
Villamor, M., & Rodrigo, M. M. (2018, July). Predicting successful collaboration in a pair programming eye tracking experiment. In Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization (pp. 263-268).
Wang, C. Y., Tsai, M. J., & Tsai, C. C. (2016). Multimedia recipe reading: Predicting learning outcomes and diagnosing cooking interest using eye-tracking measures. Computers in Human Behavior, 62, 9-18.
Wen, C. T., Chang, C. J., Huang, S. C., Chang, M. H., Chiang, S. H. F., Liu, C. C., ... & Yang, C. W. (2019, September). An Analysis of Student Inquiry Performances in Computer Supported Light-Weighted Collaborative Experiment. In International Cognitive Cities Conference (pp. 316-322). Springer, Singapore.
Winsberg, E. (2013). Computer simulations in science. Retrieved from https://stanford.library.sydney.edu.au/entries/simulations-science/
Yarbus, A. L. (2013). Eye movements and vision. Springer.
Zhang, Y., Pfeuffer, K., Chong, M. K., Alexander, J., Bulling, A., & Gellersen, H. (2016). Look together: Using gaze for assisting co-located collaborative search. Personal and Ubiquitous Computing, 21(1), 173-186.
Zoethout, H., Wesselink, R., Runhaar, P., & Mulder, M. (2017). Using Transactivity to Understand Emergence of Team Learning. Small Group Research,48(2), 190-214. |