博碩士論文 93542015 詳細資訊




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姓名 古騏毓(Chi-yu Ku)  查詢紙本館藏   畢業系所 資訊工程學系
論文名稱 迷你遊戲對學生心算信心與心算表現之影響
(The Effects of Mini-Games on Students’ Confidence and Performance in Mental Calculation)
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摘要(中) 許多學生對學習數學感到沒有信心,這樣的態度很可能會使得這些學生放棄去追求更深入的數學知識。近來有許多關於遊戲式學習所帶來的正面效果被發表出來,其中也發現遊戲式學習可能可以提升學生的自信心。此外,心算這項基礎數學技能也被認為是一項可以幫助學生建立數學自信心的一項技能。因此,本研究試圖透過結合迷你遊戲(mini-games)與心算學習來幫助學生提升學習數學的自信心。本研究分別進行了一項初探研究與一項主研究。初探研究的主要目的在於探討學生對於在迷你遊戲環境中學習心算的各種反應,同時也訪問了這些參與研究學生的老師以了解老師對於這樣的學習方式有什麼看法和建議。在初探研究所得到的結果指出,學生喜歡透過迷你遊戲這樣的方式來進行學習活動。然而我們也觀察到不同能力的學生在這樣的學習方式中可能獲得不同程度的幫助。因此研究者繼續進行了一項準實驗設計的研究,以探討不同數學能力的學生在進行迷你遊戲式的心算學習後,在信心以及學習成效這兩項指標上所反應出的效果。在這項實驗中,實驗組學生將接受迷你遊戲式的心算學習;而控制組的學生所使用的工具是一般的紙筆,也就是他們會進行一般常見的紙筆練習以作為比較的基準。最後的結果指出,透過迷你遊戲來學習心算比使用紙筆方式,在不管是信心還是學習成效兩方面都帶來更好的結果。此外,不管是高數學能力或是低數學能力的學生,在迷你遊戲的學習方式下,在信心與學習成效也都得到顯著的成長。特別是低數學能力學生,在迷你遊戲環境中學習的進步幅度更是顯著高於紙筆組的低數學能力學生。
摘要(英) Many students possess low confidence toward learning mathematics, which, in turn, may lead them to giving up pursing mathematical knowledge deeply. Recently, game-based learning (GBL) is regarded as a potential means to improve students’ confidence. In addition, mental calculation, a fundamental mathematical skill, was considered to be a potential skill that may build students’ confidence toward mathematics. Thus, the research presented in this dissertation attempted to promote students’ low confidence toward mathematics by incorporating mini-games, a sub-genre of games, into mental calculation learning. A preliminary study was conducted to investigate how students reacted to learn mental calculation in a mini-game environment. In addition, the teacher of the participants was interviewed to inquire the teacher’s attitude toward GBL. The results of the preliminary study suggested that the mini-game-based approach was popular to students. However, it was observed that students’ with different levels of academic ability might benefit diversely from the mini-game environment. Thus, an experiment was conducted to investigate how students with different levels of academic ability react to learn mental calculation with mini-games, in terms of two important aspects of learning, i.e., performance and confidence. A control group participated in a paper-based learning approach to provide a baseline of comparison. The results demonstrated that the mini-games approach yielded better outcomes than the paper-based setting in both of the confidence and performance aspects. Both high-ability and low-ability students in the mini-games group gained significant improvement on confidence toward learning mathematics. Additionally, students in the mini-games environment attained better mathematics performance than those in the paper-based setting, especially for low-ability students.
關鍵字(中) ★ 迷你遊戲
★ 信心
★ 數學學習
★ 心算
★ 學習成效
關鍵字(英) ★ mini-games
★ confidence
★ math learning
★ mental calculation
★ learning performance
論文目次 摘要 i
Abstract iii
Acknowledgments v
Table of Contents vi
List of Figures ix
List of Tables x
1. Introduction 1
1.1. Background 1
1.2. Research Questions 2
1.3. Organization 3
2. Related Work 5
2.1. Mathematical Confidence 5
2.2. Mental Calculation & Math Confidence 6
2.3. Game and Learning 8
2.3.1. Definitions of “Game” 8
2.3.2. The Genres of Digital Games 10
2.3.3. The Mini-Games 15
2.3.4. Game in Education 17
2.3.5. Research in Game-Based Learning 19
2.4. Summary 25
3. Research Design 26
3.1. Preliminary and Main Studies 26
3.1.1. Preliminary Study 26
3.1.2. Main Study 27
3.2. Research Framework 27
3.3. Summary 29
4. Study One: Preliminary Study 30
4.1. Learning Activity Design 30
4.1.1. Participants 30
4.1.2. Instruments 30
4.1.2.1. Learning Environment: One-to-One Classroom 30
4.1.2.2. Materials 32
4.1.2.3. Mini-games 33
4.1.2.4. Questionnaire 35
4.1.3. System Architecture 35
4.1.4. Procedures 36
4.2. Results and Discussion 38
4.2.1. Students’ Performance during the Learning Sessions 39
4.2.2. Detail Analyses of Students’ Reactions 41
4.2.2.1. Analysis on Accuracy 42
4.2.2.2. Analysis on Response Time 43
4.2.2.3. Observation on Time Utilization 45
4.2.2.4. Students’ Confidence toward Mathematics 46
4.2.2.5. Observation on Motivation 47
4.2.2.6. Observation on Engagement 48
4.2.3. Teacher Interview 48
4.3. Summary of the Preliminary Study 50
4.4. Implications for Study Two 51
5. Study Two: Main Study 55
5.1. Experimental Design 55
5.1.1. Instruments 56
5.1.1.1. Materials 56
5.1.1.2. Mini-Games (EG) 57
5.1.1.3. Paper Handouts and Worksheets (CG) 59
5.1.2. Measurement 60
5.1.2.1. Confidence 60
5.1.2.2. Mathematical Performance 62
5.1.3. Procedures 63
5.1.4. Data Gathering and Analysis 64
5.2. Results and Discussion 65
5.2.1. Comparison between the EG and the CG 65
5.2.1.1. Confidence 65
5.2.1.2. Mathematical Achievement 67
5.2.2. Comparison between EG and CG in Terms of Students’ Ability 68
5.2.2.1. Confidence 69
5.2.2.2. Computational Performance 72
5.3. Implications for Future Studies 75
5.4. Summary 75
6. Conclusions 77
6.1. Main Conclusions 77
6.2. Contributions 78
6.3. Limitations 79
6.4. Future work 79
Bibliographies 81
Appendix A 90
參考文獻 Abt, C. C. (1970). Serious Games. New York, NY: Viking Press.
Admiraal, W., Huizenga, J., Akkerman, S., & ten Dam, G. (2011). The concept of flow in collaborative game-based learning. Computers in Human Behavior, 27(3), 1185-1194.
Al-Hebaish, S. M. (2012). The Correlation between general self-confidence and academic achievement in the oral presentation course. Theory and Practice in Language Studies, 2(1), 60-65.
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. doi: 10.1007/s10956-013-9438-8
Bandura, A. (1977). Self-efficacy: Toward a Unifying Theory of Behavioral Change. Psychological Review, 84(2), 191-215.
Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2), 122-147.
Bandura, A. (1993). Perceived self-efficacy in cognitive development and functioning. Educational Psychologist, 28(2), 117-148.
Bandura, A. (1994). Self-efficacy. In V. S. Ramachaudran (Ed.), Encyclopedia of human behavior (Vol. 4, pp. 71-81). New York: Acedemic Press.
Bandura, A. (1997). Self-efficacy: The exercise of control. New York, NY: Freeman.
Bandura, A., Barbaranelli, C., Caprara, G. V., & Pastorelli, C. (2001). Self-efficacy beliefs as shapers of children′s aspirations and career trajectories. Child Development, 72(1), 187-206.
Brosvic, G. M., Epstein, M. L., Dihoff, R. E., & Cook, M. J. (2006). Acquisition and retention of Esperanto: The case for error correction and immediate feedback. The Psychological Record, 56(2), 205-218.
Brown, M., Brown, P., & Bibby, T. (2008). ′I would rather die′: Reasons given by 16-year-olds for not continuing their study of mathematics. Research in Mathematics Education, 10(1). 3-18.
Chan, T.-W., Roschelle, J., Hsi, S., Kinshuk, Sharples, M., Brown, T., …, & Hoppe, U. (2006). One-to-One Technology-Enhanced Learning: An Opportunity for Global Research Collaboration. Research and Practice in Technology Enhanced Learning, 1(1), pp. 3-29.
Chang, K. E., Wu, L. J., Weng, S. E., & Sung, Y. T. (2012). Embedding game-based problem-solving phase into problem-posing system for mathematics learning. Computers & Education, 58(2), 775-786.
Chang, Y. C., Kao, W. Y., Chu, C. P., & Chiu, C. H. (2009). A learning style classification mechanism for e-learning. Computers & Education, 53(2), 273-285.
Chen, Z. H. (2012). We care about you: Incorporating pet characteristics with educational agents through reciprocal caring approach. Computers and Education, 59(4), 1081-1088.
Clewley, N., Chen, S. Y. and Liu, X. (2011). Mining Learning Preferences in Web-based Instruction: Holists vs. Serialists. Educational Technology & Society, 14(4), 266-277.
Colquitt, J. A., LePine, J. A., & Noe, R. A. (2000). Toward an integrative theory of training motivation: a meta-analytic path analysis of 20 years of research. Journal of Applied Psychology, 85(5), 678-707.
Corno, L., & Snow, R. E. (1986). Adapting teaching to individual differences among learners. In M. C. Wittrock (Ed.), Handbook of research on teaching (pp. 605–629). New York, NY: Macmillan.
Corsi, T. M., Boyson, S., Verbraeck, A., van Houten, S., Han, C., & Macdonald, J. R. (2006). The real-time global supply chain game: New educational tool for developing supply chain management professionals. Transportation Journal, 45(3), 61-73.
Crawford, C. (1982). The art of computer game design. Retrieved June 20, 2007, from http://www.vancouver.wsu.edu/fac/peabody/game-book/Coverpage.html
Crawford, C. (2003). Chris Crawford on game design. Indianapolis, IN: New Riders Publishing.
Csíkszentmihályi, M. (1975). Beyond boredom and snxiety. San Francisco, CA: Jossey-Bass.
Csíkszentmihályi, M. (1990). Flow: The psychology of optimal experience. New York, NY: Harper and Row.
Cunningham, H. (1994). Gender and computer games. Media Education Journal 17, 13-15.
Dempsey, J. V., Haynes, L. L., Lucassen, B. A., & Casey, M. S. (2002). Forty simple computer games and what they could mean to educators. Simulation & Gaming, 33(2), 157-168.
Dickey, M. D. (2007). Game design and learning: A conjectural analysis of how massively multiple online role-playing games (MMORPGs) foster intrinsic motivation. Educational Technology Research and Development 55(3), 253-273.
Dickey, M. D. (2011). Murder on Grimm Isle: The impact of game narrative design in an educational game-based learning environment. British Journal of Educational Technology, 42(3), 456-469.
Earley, P. C., Northcraft, G. B., Lee, C., & Lituchy, T. R. (1990). Impact of process and outcome feedback on the relation of goal setting to task performance. Academy of Management Journal, 33(1), 87-105.
Fennema, E., & Sherman, J. A. (1976). Fennema-Sherman mathematics attitudes scales: Instruments designed to measure attitudes toward the learning of mathematics by females and males. Journal for Research in Mathematics Education, 7(5), 324-326.
Fullerton, T. (2008). Game design workshop: A playcentric approach to creating innovative games (2nd ed.). Burlington, MA: Morgan Kaufman.
Galloway, A. R. (2006). Gaming: Essays on algorithmic culture. Minneapolis, MN: University of Minnesota Press.
Gee, J. P. (2003). What video games have to teach us about learning and literacy. New York, NY: Palgrave Macmillan.
Girard, C., Ecalle, J., & Magnan, A. (2012). Serious games as new educational tools: How effective are they? A meta-analysis of recent studies. Journal of Computer Assisted Learning, 29(3), 207-219.
Goldstein, J. (1994). Sex difference in toy use and video game play. In J. H. Goldstein (Ed.), Toys, play and child development (pp. 110-129). New York, NY: Cambridge University Press.
Greeno, J. G. (1991). Number sense as situated knowing in a conceptual domain. Journal for Research in Mathematics Education, 22, 170-218.
Gushue, G. V., Scanlan, K. R., Pantzer, K. M., & Clarke, C. P. (2006). The relationship of career decision-making self-efficacy, vocational identity, and career exploration behavior in African American high school students. Journal of Career Development, 33(1), 19-28.
Habgood, J. M. P., & Ainsworth, S. E. (2011). Motivating children to learn effectively: Exploring the value of intrinsic integration in educational games. Journal of the Learning Sciences, 20(2), 169-206.
Hammond, C. (2004). Impacts of lifelong learning upon emotional resilience, psychological and mental health: fieldwork evidence. Oxford Review of Education, 30(4), 551-568.
Hope, J. A. (1987). A Case Study of a Highly Skilled Mental Calculator. Journal for Research in Mathematics Education, 18(5), pp. 331-342.
Howden, H. (1989). Teaching number sense. Arithmetic Teacher, 36(6), 6-11.
Huang, W. H. (2011). Evaluating learners′ motivational and cognitive processing in an online game-based learning environment. Computers in Human Behavior, 27(2), 694-704.
Huizenga, J., Akkerman, S., Admiraal, W., & ten Dam, G. (2009). Mobile game-based learning in secondary education: Engagement, motivation and learning in a mobile city game. Journal of Computer Assisted Learning, 25(4), 332-344.
Jones, G., & Spooner, K. (2006). Coaching high achievers. Consulting Psychology Journal: Practice and Research, 58(1), 40-50.
Juul, J. (2005). Half-real: Video games between real rules and fictional world. Cambridge, MA: MIT Press.
Kafai, Y. (1995). Minds in play: Computer game design as a context for children′s learning. Mahwah, NJ: Lawrence Erlbaum Associates.
Kafai, Y. B. (2001). The educational potential of electronic games: From games-to-teach to games-to-learn. Retrieved from http://culturalpolicy.uchicago.edu/papers/2001-video-games/kafai.html
Ke, F. (2008). A case study of computer gaming for math: Engaged learning from gameplay? Computers & Education, 51(4), 1609-1620.
Ke, F. (2009). A qualitative meta-analysis of computer games as learning tools. In R.E. Ferdig, (Ed.). Handbook of Research on Effective Electronic Gaming in Education (pp. 1–32). Hershey, PA: Information Science Reference.
Ke, F., & Grabowski, B. (2007). Game playing for mathematics learning: Cooperative or not? British Journal of Educational Technology, 38(2), 249-259.
Kebritchi, M., Hirumi, A., & Bai, H. (2010). The effects of modern mathematics computer games on mathematics achievement and class motivation. Computers & Education, 55(2), 427-443.
Kelley, C., & McLaughlin, A. (2011). Individual differences in the benefits of feedback for learning. Human Factors: The Journal of the Human Factors and Ergonomics Society, 54(1), 26–34.
Kiili, K. (2004). Learning with technology: Cognitive tools in multimedia learning materials. Proceedings of ED-MEDIA 2004, world conference on educational multimedia, hypermedia & telecommunications, Switzerland.
Kilpatrick, J., Swafford, J., & Findell, B. (Eds.). (2001). Adding it up: Helping children learn mathematics. Washington, DC: National Academies Press.
Kim, C., & Keller, J. M. (2010). Motivation, volition, and belief change strategies to improve mathematics learning. Journal of Computer Assisted Learning, 26(5), 407-420.
Klawe, M. (1998). When does the use of computer games and other interactive multimedia software help students learn mathematics? Proceedings of NCTM Standards 2000 Technology Conference. Arlington, VA.
Kleanthous, I. & Williams, J. (2011). Students’ dispositions to study further mathematics in higher education: The effect of students’ mathematics self-efficacy. In M. Pytlak, E. Swoboda & T. Rowland (Eds.), Proceedings of the seventh Congress of the European Society for Research in Mathematics Education, Reszow, Poland.
Kleitman, S., & Moscrop, T. (2010). Self-confidence and academic achievements in primary-school children: Their relationships and links to parental bonds, intelligence, age, and gender. In A. Efklides & P. Misailidi (Eds.), Trends and prospects in metacognition research (pp. 293–326). New York, NY: Springer.
Kleitman, S., Stankov, L., Allwood, C. M., Young, S., & Mak, K. K. L. (2013). Metacognitive self-confidence in school-aged children. In M. M. C. Mok (Ed.), Self-directed learning oriented assessment in the Asia-Pacific (pp. 139-153). New York, NY: Springer.
Kulik, J. A., & Kulik, C. L. C. (1988). Timing of feedback and verbal learning, Review of Educational Research, 58(1), 79-97.
Latham, G. P., & Locke, E. A. (2006). Enhancing the benefits and overcoming the pitfalls of goal setting. Organizational Dynamics, 35(4), 332-340.
Li, P., & Pan, G. (2009). The Relationship between motivation and achievement—A survey of the study motivation of English majors in Qingdao Agricultural University. English Language Teaching, 2(1), 123-128.
Linnenbrink, E. A., & Pintrich, P. R. (2003). The role of self-efficacy beliefs in student engagement and learning in the classroom. Reading and Writing Quarterly: Overcoming Learning Difficulties 19(2), 119-138.
Lopez-Morteo, G., & Lopez, G. (2007). Computer support for learning mathematics: A learning environment based on recreational learning objects. Computers & Education, 48(4), 618-641.
MacCann, C., Fogarty, G. J., Zeidner, M., & Roberts, R. D. (2011). Coping mediates the relationship between emotional intelligence (EI) and academic achievement. Contemporary Educational Psychology, 36(1), 60-70.
Maclellan, E. (2014). How might teachers enable learner self-confidence? A review study. Educational Review, 66(1), 59-74.
Malone, T. W. (1981). Toward a theory of intrinsically motivating instruction. Cognitive Science, 5(4), 333-369.
Mason, B. J., & Bruning, R. (2001). Providing feedback in computer-based instruction: What the research tells us. Retrieved August, 18, 2012 from http://dwb.unl.edu/Edit/MB/MasonBruning.html
McDaniel, M. A., Roediger, H. L., & McDermott, K. B. (2007). Generalizing test-enhanced learning from the laboratory to the classroom. Psychonomic Bulletin & Review, 14(2), 200-206.
McIntosh, A. (1990). Becoming numerate: developing number sense. In S. Willis (ed.), Being Numerate: What Counts? Hawthorn, Victoria: ACER (Australian Council for Educational Research), 24-43.
McIntosh, A. J., Nohda, N., Reys, B.J. & Reys, R. E. (1995). Mental computation performance in Australia, Japan and the United States. Educational Studies in Mathematics, 29, 237–258.
Means, M. L., & Voss, J. F. (1996). Who reasons well? Two studies of informal reasoning among children of different grade, ability, and knowledge levels. Cognition and Instruction, 14(2), 139-178.
Metie, N., Frank, H. L., & Croft, P. (2007). Can’t do maths—Understanding students’ math anxiety. Teaching Mathematics and its Applications, 26(2), 79-81.
Mullis, I. V. S., Martin, M. O., Gonzalez, E. J., & Chrostowski, S. J. (2004). TIMSS 2003 International Mathematics Report: Findings from IEA’s Trends in International Mathematics and Science Study at the fourth and eighth grades. Boston, MA: International Association for the Evaluation of Education Achievement, Boston College.
Mullis, I. V. S., Martin, M. O., and Foy, P. (2008). TIMSS 2007 International Mathematics Report: Findings from IEA’s Trends in International Mathematics and Science Study at the fourth and eighth grades. Boston, MA: International Association for the Evaluation of Education Achievement, Boston College.
National Research Council. (1989). Everybody counts. A report to the nation on the future of mathematics education. Washington, DC: National Academy Press.
Nussbaum, M. (2007). Games, Learning, Collaboration and Cognitive Divide. OECD. Retrieved May, 20, 2010 from http://www.oecd.org/dataoecd/43/39/39414787.pdf
Owston, R., Wideman, H., Ronda, N. S., & Brown, C. (2009). Computer game development as a literacy activity. Computers & Education, 53(3), 977-989.
Pajares, F. (2006). Self-efficacy during childhood and adolescence. In F. Pajares & T. Urdan (Eds.), Self-efficacy beliefs of adolescents (pp. 339-367). Greenwich, CT: Information Age Publishing.
Papastergiou, M. (2009). Digital Game-Based Learning in high school Computer Science education: Impact on educational effectiveness and student motivation. Computers & Education, 52(1), 1-12.
Pivec, M. (2007). Editorial: Play and learn: potentials of game-based learning. British Journal of Educational Technology, 38(3), 387-393.
Provenzo, E. F. (1991). Video kids: Making sense of Nintendo. Cambridge, MA: Harvard University Press.
Prensky, M. (2001). Digital Game-Based Learning. New York, NY: McGraw-Hill.
Radford, A. (2000). Games and learning about form in architecture. Automation in Construction, 9(4), 379–385.
Randel, J. M., Morris, B. A., Wetzel, C. D., & Whitehill, B. V. (1992). The effectiveness of games for educational purposes: A review of the research, Simulation and Gaming, 25, 261-276.
Rattan, A., Good, C., & Dweck, C. S. (2012). “It’s ok—Not everyone can be good at math”: Instructors with an entity theory comfort (and demotivate) students. Journal of Experimental Social Psychology, 48(3), 731-737.
Rosas, R., Nussbaum, M., Cumsille, P., Marianov, V., Correa, M., Flores, P., …, & Salinas, M. (2003). Beyond nintendo: Design and assessment of educational video games for first and second grade students. Computers & Education, 40(1), pp. 71-94
Reys, R. E. (1984). Mental Computation and Estimation: Past, Present, and Future. The Elementary School Journal, 84(5), 546-557.
Reys, B. J., Barger, R., Dougherty, B., Lemdke, L., Parnas, A., Sturdevant, R., Bruckheimer, M., Hope, J., Markovits, Z., Reehm, S., & Weber, M. (1991). Developing number sense in the middle grades. Reston, VA: National Council of Teachers of Mathematics.
Reyes, L. H. (1984). Affective variables and mathematics education. Elementary School Journal, 84(5), 558-581.
Rubenstein, R. N. (2001). Mental Mathematics beyond the Middle School: Why? What? How?. The Mathematics Teacher, 94(6), 442-446.
Ryan, A. M., Patrick, H., & Shim, S. O. (2005). Differential profiles of students identified by their teacher as having avoidant, appropriate, or dependent help-seeking tendencies in the classroom. Journal of Educational Psychology, 97(2), 275-285.
Salen, K., & Zimmerman, E. (2003). Rules of play: Game design fundamentals. Cambridge, MA: MIT Press.
Schunk, D. H. (1985). Self-efficacy and classroom learning. Psychology in the Schools, 22(2), 208-223.
Schunk, D. H. (1989). Self-efficacy and cognitive skill learning. In C. Ames & R. Ames (Eds.), Research on motivation in education: Vol. 3. Goals and cognitions (pp. 13-44). San Diego, CA: Academic Press.
Schunk, D. H. (1990). Goal setting and self-efficacy during self-regulated learning. Educational Psychologist, 25, 71-86.
Schunk, D. H. (1991). Self-efficacy and academic motivation. Educational Psychologist, 26, 207-231.
Schunk, D. H., & Swartz, C. W. (1993a). Goals and progress feedback: Effects on self-efficacy and writing achievement. Contemporary Educational Psychology, 18, 337-354.
Schunk, D. H., & Swartz, C. W. (1993b). Writing strategy instruction with gifted students: Effects of goals and feedback on self-efficacy and skills. Roeper Review, 15, 225-230.
Shute, V. J., Ventura, M., Bauer, M. I., & Zapata-Rivera, D. (2009). Melding the power of serious games and embedded assessment to monitor and foster learning: Flow and grow. In U. Ritterfeld, M. Cody, & P. Vorderer (Eds.), Serious Games: Mechanisms and Effects (pp. 295-321). Mahwah, NJ: Routledge.
Sitzmann, T. (2011). A meta-analytic examination of the instructional effectiveness of computer-based simulation games. Personnel Psychology, 64(2), 489–528.
Snow, R. E., & Lohman D. F. (1984). Toward a theory of cognitive aptitude for learning from instruction. Journal of Education Psychology, 76(3), 347-376.
Soloway, E., & Norris, C. (2004). Having a Genuine Impact on Teaching and Learning – Today and Tomorrow. Keynote speech in Intelligent Tutoring Systems 2004.
Sowder, J. T. (1990). Mental computation and number sense. The Arithmetic Teacher, 37(7), 18-20.
Sowder, J. T. (1992). Making sense of numbers in school mathematics. In G. Leinhardt, R. Putnam, & R. Hattrup (Eds.), Analysis of arithmetic for mathematics education. Hillsdale, NJ: Erlbaum, 1-51.
Stankov, L., Lee, J., Luo, W., & Hogan, D. J. (2012). Confidence: A better predictor of academic achievement than self-efficacy, self-concept and anxiety? Learning and Individual Differences, 22(6), 747-758.
Stipek, D. J. (1998). Motivation to learn: From theory to practice. Boston, MA: Allyn and Bacon.
Stodolsky, S., Salk, S., & Glaessner, B. (1991). Student Views About Learning Math and Social Studies. American Educational Research Journal, 28(1), 89-116.
Straker, L. M., Campbell, A. C., Jensen, L. M., Metcalf, D. R., Smith, A. J., Abbott, R. A., ... & Piek, J. P. (2011). Rationale, design and methods for a randomised and controlled trial of the impact of virtual reality games on motor competence, physical activity, and mental health in children with developmental coordination disorder. BMC Public Health, 11, 654-665.
Suh, S., Kim, S. W., & Kim, S. W. (2010). Effectiveness of MMORPG-based instruction in elementary English education in Korea. Journal of Computer Assisted Learning, 26(5), 370-378.
Tavani, C., & Losh, S. (2003). Motivation, self-confidence, and expectations as predictors of the academic performances among our high school students. Child Study Journal, 33(3), 141-151.
Thompson, I. (1999). Getting your head around mental calculation. In I. Thompson (Ed.), Issues in Teaching Numeracy in Primary Schools (pp. 145-156). Buckingham, UK: Open University Press.
Trafton, P. R. (1978). Estimation and mental arithmetic: Important components of computation. In M. N. Suydam & R. E. Reys (Eds.), Developing computational skills. Reston, VA: National Council of Teachers of Mathematics.
Tsai, F.-H., Yu, K.-C., & Hsiao, H.-S. (2012). Exploring the factors influencing learning effectiveness in digital game-based learning. Educational Technology & Society, 15(3), 240-250.
Tschannen-Moran, M., Woolfolk Hoy, A., & Hoy, W. K. (1998). Teacher efficacy: Its meaning and measure. Review of Educational Research, 68(2), 202-248.
Tüzün, H., Yılmaz-Soylu, M., Karakuş, T., İnal, Y., & Kızılkaya, G. (2009). The effects of computer games on primary school students′ achievement and motivation in geography learning. Computers & Education, 52(1), 68-77.
Video game genres. (n.d.). In Wikipedia. Retrived June 12, 2014, from http://en.wikipedia.org/wiki/Video_game_genres
Vlahovic-Stetica, V., Vidovica, V. V., & Arambasica, L. (1999). Motivational characteristics in mathematical achievement: A study of gifted high-achieving, gifted underachieving and non-gifted pupils. High Ability Studies, 10(1), 37-49.
von Waltershausen, W. S. (1856). Gauss zum Gedächtnis. Liepzig, Germany: von S. Hirzel.
Vorderer, P., Hartmann, T., & Klimmt, C. (2003). Explaining the enjoyment of playing video games: The role of competition. Proceedings of the Second International Conference on Entertainment Computing. Pittsburgh, PA: Carnegie Mellon University.
Vos, N., van der Meijden, H., & Denessen, E. (2011). Effects of constructing versus playing an educational game on student motivation and deep learning strategy use. Computers & Education, 56(1), 127-137.
Wang, L. C. & Chen, M. P. (2010). The effects of game strategy and preference-matching on flow experience and programming performance in game-based learning. Innovations in Education and Teaching International, 47(1), 1, 39–52.
Weiner, B. (1980). Human motivation. New York, NY: Holt, Rinehart & Winston.
Yip, M. C. W. (2007). Differences in learning and study strategies between high and low achieving university students: A Hong Kong study. Educational Psychology, 27(5), 597-606.
Zyda, M. (2005). From visual simulation to virtual reality to games. IEEE Computer, 38(9), 25-32.
指導教授 陳德懷(Tak-wai Chan) 審核日期 2014-7-25
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