壹、中文部分
吳柏林、謝名娟（2010）。現代教育與心理統計學（Modern Educational & Psychological Statistics）。新北市：華藝數位。
李維蔓、詹岱倫（2010）。SPSS統計分析與專題應用。台北市：學貫行銷。
杜建廣、吳孟恬、湯佩芳、蘇賢德、曾文毅、邱銘章（2016）。認知正常中老年人腦白質徑完整性與步態表現之關聯性。物理治療，41(4)，291-292。
周文忠（2005）。虛擬實境之意義與應用。資訊科學應用期刊，1(1)，121-127。
科技部（2016）。科技部與教育部聯合記者會新聞資料--PISA 2015臺灣學生的表現。日期：2017年11月26日，取自https://www.most.gov.tw/folksonomy/detail?subSite=&l=ch&article_uid=57b7c383-4064-4300-b481-1a6231dfac3e&menu_id=9aa56881-8df0-4eb6-a5a7-32a2f72826ff&content_type=P&view_mode=listView。
唐麗英、王春和（2013）。從範例學MINTAB統計分析與應用。新北市：博碩文化。
徐新逸（2015）。模擬教學在培訓之應用。研習論壇月刊，172，1-13。
徐新逸、吳芳瑜（2010）。Second Life在大學虛擬校園之應用。教育研究月刊，193，99-112。
徐新逸、周雲虎（2013）。3D互動虛擬實驗室：高中物理實驗篇。行政院科技部專題研究（編號：102-2511-S-032-008-MY2），未出版。
徐新逸、周雲虎（2017）。3D沉浸式虛擬物理實驗之研發與推廣。行政院科技部專題研究（編號：106-2511-S-032-007-MY2），未出版。
教育部（2008a）。97年國民中小學九年一貫課程綱要。日期：2017年11月26日，取自https://www.naer.edu.tw/files/15-1000-7944,c639-1.php?Lang=zh-tw。
教育部（2008b）。高級中學課務發展工作圈，物理科綱要。日期：2017年11月26日，取自http://web.ylsh.ilc.edu.tw/course/overview/08.pdf。
教育部（2013）。高級中學課務發展工作圈，物理科102課綱微調版本。日期：2017年11月26日，取自http://web.ylsh.ilc.edu.tw/course/overview/1020826/08_102adjust.pdf。
教育部（2016）。2016-2020資訊教育總藍圖。日期：2017年11月26日。取自https://ws.moe.edu.tw/001/Upload/3/relfile/6315/46563/3d9a977d-cd20-429f-a5d0-a17a68e86199.pdf。
葉重新（2001）。教育研究法。台北：心理出版社。
郭子祥、陳一平、袁汝儀（2016）。基隆市國小學生心像認知能力與繪畫表現風格的相關性。臺灣教育評論月刊，5(4)，166-193。
陳美玲、白菁汝、黃映慈、洪惠君（2008）。高中物理之重心與平衡的教學活動暨教具設計。物理教育學刊，9(2)，103-112。
黃福坤（2006）。透過物理模擬動畫進行物理教學與學習。物理雙月刊，28(3)，536-543。
楊心怡、劉遠楨（2012）。創新學習：資訊科技的應用與實踐。教學科技與媒體，100，36-41。
楊坤原（1996）。認知風格與科學學習成就的關係(一)。科學教育月刊，194，2-12。
蔡仁政（2014）。十二年國教免試入學超額比序項目適切性評估。臺灣教育評論月刊，3(1)，63-69。
貳、外文部分
Andersen, L. (2014). Visual–spatial ability: Important in STEM, ignored in gifted education. Roeper Review, 36(2), 114-121.
Anderson, J. L., & Barnett, M. (2013). Learning physics with digital game simulations in middle school science. Journal of Science Education and Technology, 22(6), 914-926.
Ausburn, L. J., & Ausburn, F. B. (1978). Cognitive styles: Some information and implications for instructional design. Educational Technology Research and Development, 26(4), 337-354.
Baron, R. M., & Kenny, D. A. (1986). The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of personality and social psychology, 51(6), 1173-1182.
Barzilai, S., & Blau, I. (2014). Scaffolding game-based learning: Impact on learning achievements, perceived learning, and game experiences. Computers & Education, 70, 65-79.
Biederman, I., & Vessel, E. (2006). Perceptual Pleasure and the Brain A novel theory explains why the brain craves information and seeks it through the senses. American scientist, 94(3), 247-253.
Biocca, F., Harms, C., & Gregg, J. (2001, May). The networked minds measure of social presence: Pilot of the factor structure and concurrent validity. In 4th annual international workshop on presence, Philadelphia, PA (pp. 1-9).
Blajenkova, O., Kozhevnikov, M., & Motes, M. A. (2006). Object‐spatial imagery: a new self‐report imagery questionnaire. Applied Cognitive Psychology, 20(2), 239-263.
Blau, I., & Caspi, A. (2008). Do media richness and visual anonymity influence learning? A comparative study using skype™. In Y. Eshet-Alkalai, A. Caspi & N. Geri (Eds.), Learning in the technological era: Proceedings of the third chais conference on instructional technologies research 2008, (pp.18-25). Raanana, Israel: The Open University of Israel.
Blazhenkova, O., & Kozhevnikov, M. (2009). The new object‐spatial‐verbal cognitive style model: Theory and measurement. Applied cognitive psychology, 23(5), 638-663.
Bulu, S. T. (2012). Place presence, social presence, co-presence, and satisfaction in virtual worlds. Computers & Education, 58(1), 154-161.
Carroll, J. (1993). Human Cognitive Abilities: A Survey of Factor-analytic Studies. New York: Cambridge University Press.
Caspi, A., & Blau, I. (2011). Collaboration and psychological ownership: how does the tension between the two influence perceived learning?. Social Psychology of Education, 14(2), 283-298.
Chabris, C. F., Jerde, T. E., Woolley, A. W., Gerbasi, M. E., Schuldt, J. P., Bennett, S. L., Hackman, J. R., & Kosslyn, S. M. (2006). Spatial and object visualization cognitive styles: Validation studies in 3800 individuals. Group brain technical report, (2). Retrieved November 26, 2017 from http://www.academia.edu/download/ 30709929/Chabris2006d.pdf.
Chang, C. S., Wong, M. T., & Chien, F. L. (2017). Development and Evaluation of the Operational Management Simulation Game E-Café. Journal of Applied Science and Engineering, 20(1), 95-106.
Cheng, L. K., Chieng, M. H., & Chieng, W. H. (2014). Measuring virtual experience in a three-dimensional virtual reality interactive simulator environment: a structural equation modeling approach. Virtual Reality, 18(3), 173-188.
Chiu, C. H., & Hsiao, H. F. (2010). Group differences in computer supported collaborative learning: Evidence from patterns of Taiwanese students’ online communication. Computers & Education, 54(2), 427-435.
Choi, D. H., Dailey-Hebert, A., & Estes, J. S.(Ed.). (2016). Emerging tools and applications of virtual reality in education. (pp.25). Pennsylvania, PA: IGI Global.
Chou, Y., & Shyu, H. (2015, October). Development of the Virtual Physical Laboratory–Simple Pendulum. In E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 1074-1078). Association for the Advancement of Computing in Education (AACE). Retrieved November 26, 2017 from https://www.learntechlib.org/p/152129.
Cobb, S. C. (2011). Social presence, satisfaction, and perceived learning of RN-to-BSN students in web-based nursing courses. Nursing Education Perspectives, 32(2), 115.
Daineko, Y., Dmitriyev, V., & Ipalakova, M. (2017). Using virtual laboratories in teaching natural sciences: An example of physics courses in university. Computer Applications in Engineering Education, 25(1), 39-47.
Dyrberg, N. R., Treusch, A. H., & Wiegand, C. (2017). Virtual laboratories in science education: students’ motivation and experiences in two tertiary biology courses. Journal of Biological Education, 51(4), 358-374.
Ekstrom, R. B., French, J. W., & Harman, H. H. (1976). Kit of factor-referenced cognitive tests. Princeton, NJ: Educational Testing Service.
Fortin, D. R., & Dholakia, R. R. (2005). Interactivity and vividness effects on social presence and involvement with a web-based advertisement. Journal of business research, 58(3), 387-396.
Gamito, P., Oliveira, J., Coelho, C., Morais, D., Lopes, P., Pacheco, J., ... & Barata, A. F. (2017). Cognitive training on stroke patients via virtual reality-based serious games. Disability and rehabilitation, 39(4), 385-388.
Gerard A. Postiglione, & Jason Tan. (2007). Schooling in Taiwan. In Chou, C. P. & Ho, A. H.(Eds), Going to school in East Asia (pp. 344-377). Santa Barbara, CA: Greenwood Publishing Group.
Ghanbarzadeh, R., & Ghapanchi, A. H. (2016). Investigating various application areas of three‐dimensional virtual worlds for higher education. British Journal of Educational Technology. doi:10.1111/bjet.12538.
Gil, A., Peidro, A., Reinoso, O., & Marin, J. M. (2014). Implementation and assessment of a virtual laboratory of parallel robots developed for engineering students. IEEE Transactions on Education, 57(2), 92-98.
Haxby, J. V., Grady, C. L., Horwitz, B., Ungerleider, L. G., Mishkin, M., Carson, R. E., Herscovitch, P., Schapiro, M. B., & Rapoport, S. I. (1991). Dissociation of object and spatial visual processing pathways in human extrastriate cortex. Proceedings of the National Academy of Sciences, 88(5), 1621-1625.
Herga, N. R., Čagran, B., & Dinevski, D. (2016). Virtual Laboratory in the Role of Dynamic Visualisation for Better Understanding of Chemistry in Primary School. Eurasia Journal of Mathematics, Science & Technology Education, 12(3), 593-608.
Höffler, T. N., Koć‐Januchta, M., & Leutner, D. (2017). More Evidence for Three Types of Cognitive Style: Validating the Object‐Spatial Imagery and Verbal Questionnaire Using Eye Tracking when Learning with Texts and Pictures. Applied Cognitive Psychology, 31(1), 109-115.
Höffler, T. N., Prechtl, H., & Nerdel, C. (2010). The influence of visual cognitive style when learning from instructional animations and static pictures. Learning and Individual Differences, 20(5), 479-483.
Holmbeck, G. N. (2002). Post-hoc probing of significant moderational and mediational effects in studies of pediatric populations. Journal of pediatric psychology, 27(1), 87-96.
Hong, J. C., Hwang, M. Y., Liu, M. C., Ho, H. Y., & Chen, Y. L. (2014). Using a “prediction–observation–explanation” inquiry model to enhance student interest and intention to continue science learning predicted by their Internet cognitive failure. Computers & Education, 72, 110-120.
Huk, T. (2006). Who benefits from learning with 3D models? The case of spatial ability. Journal of computer assisted learning, 22(6), 392-404.
IBM (2017). IBM support. Retrieved November 26, 2017 from http://www-01.ibm.com/support/docview.wss?uid=swg21479073.
Ijsselsteijn, W. A., Freeman, J., & Ridder, H. D. (2001). Presence: Where are we? CyberPsychology and Behavior, 4(1), 179-182.
Jimoyiannis, A. (2010). Designing and implementing an integrated technological pedagogical science knowledge framework for science teachers professional development. Computers & Education, 55(3), 1259-1269.
Jou, M., & Wang, J. (2013). Investigation of effects of virtual reality environments on learning performance of technical skills. Computers in Human Behavior, 29(2), 433-438.
Kang, M., & Im, T. (2013). Factors of learner–instructor interaction which predict perceived learning outcomes in online learning environment. Journal of Computer Assisted Learning, 29(3), 292-301.
Kauffman, H. (2015). A review of predictive factors of student success in and satisfaction with online learning. Research in Learning Technology, 23(1), 26507. http://dx.doi.org/10.3402/rlt.v23.26507.
Kim, Y. J., Almond, R. G., & Shute, V. J. (2016). Applying Evidence-Centered Design for the Development of Game-Based Assessments in Physics Playground. International Journal of Testing, 16(2), 142-163.
Kosslyn, S. M., Ganis, G., & Thompson, W. L. (2001). Neural foundations of imagery. Nature Reviews Neuroscience, 2(9), 635-642.
Kozhevnikov, M., Evans, C., & Kosslyn, S. M. (2014). Cognitive style as environmentally sensitive individual differences in cognition: A modern synthesis and applications in education, business, and management. Psychological Science in the Public Interest, 15(1), 3-33.
Kozhevnikov, M., Hegarty, M., & Mayer, R. E. (2002). Revising the visualizer-verbalizer dimension: Evidence for two types of visualizers. Cognition and Instruction, 20(1), 47-77.
Kozhevnikov, M., Kosslyn, S., & Shephard, J. (2005). Spatial versus object visualizers: A new characterization of visual cognitive style. Memory & cognition, 33(4), 710-726.
Lee, E. A. L., & Wong, K. W. (2014). Learning with desktop virtual reality: Low spatial ability learners are more positively affected. Computers & Education, 79, 49-58.
Lee, E. A. L., Wong, K. W., & Fung, C. C. (2010). How does desktop virtual reality enhance learning outcomes? A structural equation modeling approach. Computers & Education, 55(4), 1424-1442.
Lee, K. M. (2004). Why presence occurs: Evolutionary psychology, media equation, and presence. Presence: Teleoperators and Virtual Environments, 13(4), 494-505.
Lessiter, J., Freeman, J., Keogh, E., & Davidoff, J. (2001). A cross-media presence questionnaire: The ITC-Sense of Presence Inventory. Presence: Teleoperators and virtual environments, 10(3), 282-297.
Li, N., Marsh, V., Rienties, B., & Whitelock, D. (2016). Online learning experiences of new versus continuing learners: A large-scale replication study. Assessment & Evaluation in Higher Education, 1-16.
Marks, D. F. (1973). Visual imagery differences in the recall of pictures. British Journal of Psychology, 64, 17–24.
Mayer, R. E. (2008). Applying the science of learning: Evidence-based principles for the design of multimedia instruction. American psychologist, 63(8), 760.
Mayer, R. E., & Moreno, R. (2003). Nine ways to reduce cognitive load in multimedia learning. Educational psychologist, 38(1), 43-52.
McGee, M. G. (1979). Human Spatial Abilities: Psychometric Studies and Environmental, Genetic, Hormonal, and Neurological Influences. Psychological Bulletin, 86(5), 889-918.
McKinney, V., Yoon, K., & Zahedi, F. M. (2002). The measurement of web-customer satisfaction: An expectation and disconfirmation approach. Information systems research, 13(3), 296-315.
Merchant, Z., Goetz, E. T., Cifuentes, L., Keeney-Kennicutt, W., & Davis, T. J. (2014). Effectiveness of virtual reality-based instruction on students'' learning outcomes in K-12 and higher education: A meta-analysis. Computers & Education, 70, 29-40.
Monteiro-Junior, R. S., Figueiredo, L. F. D. S., Maciel-Pinheiro, P. D. T., Abud, E. L. R., Engedal, K., Barca, M. L., ... & Deslandes, A. C. (2017). Virtual Reality–Based Physical Exercise With Exergames (PhysEx) Improves Mental and Physical Health of Institutionalized Older Adults. Journal of the American Medical Directors Association, 18(5), 454.e1-454.e9.
Motes, M. A., Malach, R., & Kozhevnikov, M. (2008). Object-processing neural efficiency differentiates object from spatial visualizers. Neuroreport, 19(17), 1727-1731.
Mujber, T. S., Szecsi, T., & Hashmi, M. S. (2004). Virtual reality applications in manufacturing process simulation. Journal of materials processing technology, 155, 1834-1838.
Nichols, S., Haldane, C., & Wilson, J. R. (2000). Measurement of presence and its consequences in virtual environments. International Journal of Human-Computer Studies, 52(3), 471-491.
Paivio, A. (1971). Imagery and verbal processes. New York: Holt, Rinehart & Winston.
Pan, Z., Cheok, A. D., Yang, H., Zhu, J., & Shi, J. (2006). Virtual reality and mixed reality for virtual learning environments. Computers & Graphics, 30(1), 20-28.
Pantelidis, V. S. (2009). Reasons to use virtual reality in education and training courses and a model to determine when to use virtual reality. Themes in Science and Technology Education, 2, 59-70.
Potkonjak, V., Gardner, M., Callaghan, V., Mattila, P., Guetl, C., Petrović, V. M., & Jovanović, K. (2016). Virtual laboratories for education in science, technology, and engineering: A review. Computers & Education, 95, 309-327.
Richardson, J. C., Maeda, Y., Lv, J., & Caskurlu, S. (2017). Social presence in relation to students'' satisfaction and learning in the online environment: A meta-analysis. Computers in Human Behavior, 71, 402-417.
Richardson, J. C., & Swan, K. (2003). Examining social presence in online courses in relation to students'' perceived learning and satisfaction. Journal of Asynchronous Learning Networks, 7(1), 68-88.
Riding, R., & Cheema, I. (1991). Cognitive styles—an overview and integration. Educational psychology, 11(3-4), 193-215.
Roberts, J., & Styron, R. (2010). Student satisfaction and persistence: Factors vital to student retention. Research in Higher Education Journal, 6(3), 1-18.
Rodrigues, M., & Carvalho, P. S. (2013). Teaching physics with Angry Birds: exploring the kinematics and dynamics of the game. Physics Education, 48(4), 431.
Ronggang, Z., & Kan, Z. (2004). Presence and Measuring Presencein Virtual Environment [J]. Advances in Psychological Science, 12(2), 201-208.
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.
Ruxton, G. D. (2006). The unequal variance t-test is an underused alternative to Student''s t-test and the Mann–Whitney U test. Behavioral Ecology, 17(4), 688-690.
Sanford, D., Ross, D., Rosenbloom, A., & Singer, D. (2017). Course convenience, perceived learning, and course satisfaction across course formats. The E-Journal of Business Education & Scholarship of Teaching, 11(1), 69.
Scott, P. H., Asoko, H. M., & Driver, R. H. (1991). Teaching for conceptual change: A review of strategies. Connecting research in physics education with teacher education, 71-78.
Sebastianelli, R., Swift, C., & Tamimi, N. (2015). Factors affecting perceived learning, satisfaction, and quality in the online MBA: A structural equation modeling approach. Journal of Education for Business, 90(6), 296-305.
Shute, V. J., Ventura, M., & Kim, Y. J. (2013). Assessment and learning of qualitative physics in newton''s playground. The Journal of Educational Research, 106(6), 423-430.
Shyu, H. Y. & Chou, Y. H. (2014). Game-based APP in Teaching Newton''s Three Laws of Motion for High School Students. Proceedings of 22nd International Conference on Computers in Education. Nara, Japan. 635-641
Shyu, H. Y., & Chou, Y. H. (2015, October). How a Virtual Lab Can Help High School Students on Static Equilibrium Experiment. In E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education (pp. 926-930). Association for the Advancement of Computing in Education (AACE). Retrieved November 26, 2017 from https://www.learntechlib.org/p/152109.
Slater, M. (1999). Measuring presence: A response to the Witmer and Singer presence questionnaire. Presence: Teleoperators and Virtual Environments, 8(5), 560-565.
Slater, M., McCarthy, J., & Maringelli, F. (1998). The influence of body movement on subjective presence in virtual environments. Human Factors, 40(3), 469-477.
Srisawasdi, N. (2012). The role of TPACK in physics classroom: case studies of preservice physics teachers. Procedia-Social and Behavioral Sciences, 46, 3235-3243.
Steuer, J. (1992). Defining virtual reality: Dimensions determining telepresence. Journal of communication, 42(4), 73-93.
Tatli, Z., & Ayas, A. (2013). Effect of a virtual chemistry laboratory on students'' achievement. Journal of Educational Technology & Society, 16(1), 159.
Vandenberg, S. G., & Kuse, A. R. (1978). Mental rotations, a group test of three-dimensional spatial visualization. Perceptual and Motor Skills, 47, 599-604.
Vrellis, I., Avouris, N., & Mikropoulos, T. A. (2016). Learning outcome, presence and satisfaction from a science activity in Second Life. Australasian Journal of Educational Technology, 32(1), 59-77.
Weibel, D., & Wissmath, B. (2011). Immersion in computer games: The role of spatial presence and flow. International Journal of Computer Games Technology, 2011, 6. doi:10.1155/2011/282345.
Weng, H. J., Chang, D. F., & Shyu, H. Y. (2015). Testing the Effect of Mnemonic Strategy Embedded in Digital Game. Innovative Computing Information and Control Express Letter, 9(3), 827-833.
Witmer, B. G., & Singer, M. J. (1998). Measuring presence in virtual environments: A presence questionnaire. Presence: Teleoperators and virtual environments, 7(3), 225-240.
Wu, J. H., Wang, S. C., & Tsai, H. H. (2010). Falling in love with online games: The uses and gratifications perspective. Computers in Human Behavior, 26(6), 1862-1871.
Xu, L., Huang, D., & Tsai, W. T. (2014). Cloud-based virtual laboratory for network security education. IEEE Transactions on Education, 57(3), 145-150.
Yeh, Y. F., Hwang, F. K., & Hsu, Y. S. (2015). Applying TPACK-P to a teacher education program. In Development of Science Teachers'' TPACK, 71-88. Springer Singapore.
Yoon, S. Y., Choi, Y. J., & Oh, H. (2015). User attributes in processing 3D VR-enabled showroom: Gender, visual cognitive styles, and the sense of presence. International Journal of Human-Computer Studies, 82, 1-10.
Yoon, S. Y., Laffey, J., & Oh, H. (2008). Understanding usability and user experience of web-based 3D graphics technology. International Journal of Human-Computer Interaction, 24(3), 288-306.
Zeng. W. X., Richardson. A. (2016). Adding Dimension to Content: Immersive Virtual Reality for e-Commerce. Proceedings of the 27th Australasian Conference on Information Systems, University of Wollongong Faculty of Business. Retrieved November 26, 2017 from http://ro.uow.edu.au/acis2016/papers/1/72.
Zhang, X., Jiang, S., Ordóñez de Pablos, P., Lytras, M. D., & Sun, Y. (2017). How virtual reality affects perceived learning effectiveness: a task–technology fit perspective. Behaviour & Information Technology, 36(5), 548-556.