博碩士論文 965404004 詳細資訊




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姓名 廖長彥(Chang-Yen Liao)  查詢紙本館藏   畢業系所 網路學習科技研究所
論文名稱 代理表現學習模式—以動物同伴為例
(The Delegated Performance Model of Learning— an Example of Animal Companions)
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摘要(中) 本論文發展「代理表現模式 (Delegated Performance Model)」以提供學生更多的學習機會,改善他們的學習成就並增強自信心,此模式分成準備與表現/競爭兩個階段。學生為了在表現/競爭階段建立認同,因此需在準備階段付出努力進行學習。具體來說,學生在準備階段訂下目標以達成他們的任務,然後在表現/競爭階段呈現出最好的表現或擊敗他們的對手以獲得自信心與自我認同。
本論文基於代理表現模式,設計二個應用「動物同伴 (animal companions)」的寵物養成於悅趣化學習環境,以整合三年級數學課程,發展出表現舞台與競爭舞台系統,並進行二個研究來評估模式,研究進行時間為期一年,研究對象為29名三年級學生,活動方式包括課後活動與家中的學習活動。本研究採用質量混合方式進行資料的收集與分析,包括學生系統使用的紀錄、教室觀察、學生訪談筆記和問卷,而分析則採用學習歷程分析與序列分析等方法。
研究一主要聚焦於表現舞台(即My-Pet-My-Quest系統),並檢視學生在此一悅趣化學習環境下的認知效能、情感經驗與學習行為模式。結果指出 1) 無論在學校或家中,學生皆能持續參與及維持數學任務的熟練與流暢; 2) 大多數的學生不僅能建立起自我效能,也能保持使用系統的投入度;3) 在學校與家中,學生使用系統的行為趨勢穩定且逐漸增加。
研究二主要評估競爭舞台(即My-Pet-Trainer系統)的效果,以鼓勵學生改善他們在準備階段的學習並增進學生努力行為。希冀透過動物同伴呈現學生學習並代替學生進行競爭,以連結努力與認同的關係。本研究透過現場觀察與個別訪談評估學生的使用效能。結果指出 1) 準備式競爭的方式能引導多數學生的數學學習與強化他們的學習行為;2) 大多數的學生能理解事先準備的意義。
本論文也討論代理表現模式對於學生在認知、情意與行為方面的影響,如:持續性學習、動機的自我調節和學習黏著性等。並且,本論文也進一步討論如何應用代理表現模式於悅趣化學習環境的設計,如:準備階段、表現/競爭階段、學生個別差異及如何結合遊戲元素與學習內容等考量。
此外,後續研究可從模式、應用與方法三方向進行。具體來說,應提供更多機會支持基於代理表現模式的學生學習;應支持關於代理表現模式的潛在價值,特別於學校、老師、學生與家長等方面;應明瞭學生在悅趣化學習環境中的學習模式以協助他們可能遭遇到的學習困難。
摘要(英) The objective of this dissertation is to develop a delegated performance model (DPM) that provides students with more opportunities to improve their learning achievement and also enhance their confidence. The DPM comprises two phases—preparative phase and performance/ competitive phase. In order to build identity in the performance/ competitive phase, students need to make efforts to set their goals, in particular, and accomplish their tasks, in the preparative phase first. And then they need to demonstrate their learning achievement, defeat the competitors, and gain confidence in the performance/ competitive phase.
This dissertation addresses two application studies of a pet-nurturing game environment by using the animal companions, integrated the third grade mathematics curriculum into a game-based learning environment, to develop the performance/ competitive stage based on the delegated performance model. Two evaluation studies were also conducted to assess the model respectively in an elementary after-school club and at students’ home of 29 third-grade students over a year. A mixed methodological approach for data collection and analysis was applied. Data collection is undertaken via system records, observation and interview comments, and questionnaires. Learning portfolio analysis and sequential analysis were used in this study.
Study 1 aims to examine students’ cognitive effectiveness, affective experience, and learning behavioral patterns in My-Pet-My-Quest (MPMQ) environment. The findings indicated that 1) students can continuously participate in math tasks and maintain the proficiency and fluency of math tasks in the MPMQ environment across school and home time; 2) the MPMQ environment supports students to build self-efficacy, and keeps them engagement in learning as well; 3) students’ learning behaviors tend to be stable and increase gradually.
Study 2 is designed to evaluate the effect of the competitive stage (My-Pet-Trainer system). The system encourages students to improve their learning in the preparative phase; the virtual pets represent the students’ profiles before the competitive phase in My-Pet-Trainer (MPT). This study adopts two phases to link efforts and identity. This study 2 evaluates the effectiveness of the MPT by three sets of field observations and interviews with individual students. The findings indicated that 1) the preparation-based competitive approach could guide most of the students in learning process and enhance their learning behaviors; 2) most students could understand the meaning of preparation-based competition.
This dissertation discussed the influences of delegated performance model for students’ cognitive, affective, and behavioral aspects, such as sustaining learning, self-regulation of motivation, and learning stickiness; this study further discussed the design of integration of delegated performance model in game-based learning environment, such as preparation, performance/ competitive game design, individual differences, and how to combine the game structure with learning contents.
Some implications for further studies are also suggested in three aspects: model, application, and method. In particular, the researchers should provide more opportunities for students’ learning based on the delegated performance model; the researchers should mark these potential values of the delegated performance model in the aspects of school, teachers, students, and parents; the researchers should understand the behavioral patterns among students in this game-based learning environment in order to scaffold their learning to overcome the difficulties.
關鍵字(中) ★ 代理表現模式
★ 競爭遊戲
★ 遊戲式學習舞台
★ 動物同伴
關鍵字(英) ★ delegated performance model
★ competitive games
★ game-based learning stage
★ animal companions
論文目次 1. Introduction 1
1.1 Motivation 1
1.2 Objective 3
1.3 Organization 7
2. Foundation 9
2.1 Pet-oriented Digital Games 9
2.1.1 Commercial Pet-oriented Digital Games and Applied Strategies 9
2.1.2 Previous Educational Research on Animal Companion Systems 12
2.2 The Developmental Trajectory of the Learner Model 15
2.2.1 Open Learner Model 15
2.2.2 Active Open Learner Model 16
2.3 Previous Research on Educational Competitive Games 18
2.3.1 Educational Competitive Games 18
2.3.2 Three Main Strategies of Educational Competitive Games 21
3. Delegated Performance Model 25
3.1 Design principles 26
3.1.1 Preparative Phase as Backstage 26
3.1.2 Performance/ Competitive Phase as Frontstage 28
3.2 Implementing the Delegated Performance Model by Using Animal Companions 29
3.2.1 Using Animal Companions 29
3.2.2 The Design of Animal Companions based on Delegated Performance Model in Game-based Learning Environment 30
3.3 Animal Companion Stage Design 32
3.2.1 The Design of Backstage 34
3.2.2 The Design of Frontstage 35
4. Study 1: Preparation-before-Performance Stage 39
4.1. The Design of My-Pet-My-Quest 39
4.1.1 Virtual Character Design 40
4.1.2 Narrative Environment 42
4.1.3 Small Quests 44
4.2. Evaluation in My-Pet-My-Quest 46
4.2.1 Participants and Context 46
4.2.2 Procedure 47
4.2.3 Data Collection and Analysis 48
4.3. Findings of Study 1 54
4.3.1 Cognitive Effectiveness 55
4.3.2 Affective Experience 59
4.3.3 Learning Behavioral Patterns 63
4.4 Conclusions for Preparation-before-Performance 70
5. Study 2: Preparation-before-Competitive Stage 73
5.1 The Design of My-Pet-Trainer System 73
5.1.1 Symbiotic and Emotional Relationships 75
5.1.2 Mindset Preparation to Face Competition for the Open Learner Model 76
5.1.3 Game Environment and Features 77
5.2 Preliminary Evaluation in the My-Pet-Trainer 79
5.2.1 Participants 79
5.2.2 Procedure 79
5.2.3 Data Collection and Analysis 80
5.3 Findings of Study 2 81
5.3.1 Effectiveness of Usability 82
5.3.2 Affective Experience 84
5.4 Conclusions for Preparation-before-Competition 86
6. Discussions 87
6.1 The Influences of Delegated Performance Model for Students’ Learning 87
6.1.1 Sustaining Learning across Home and School Time 87
6.1.2 Successful Students as Sustain Motivation to Learn 88
6.1.3 Enhancing Learning Stickiness by Using Delegated Performance Model 89
6.2 The Design of Delegated Performance Model for Game-based Learning Environment 90
6.2.1 Consideration of Preparation Design 91
6.2.2 Consideration of Performance/ Competitive Design 92
6.2.3 Consideration for Individual Ability 93
6.2.4 Consideration of Combination: Game Structure and Learning Contents 94
7. Conclusions and Implications 97
7.1 Conclusions 97
7.2 Implications for Model, Application, and Method 98
7.2.1 Providing Preparation and Performance Opportunities of Students by Using Delegated Performance Model 98
7.2.2 Potential Values in Aspect of School, Teacher, Students, Parent 100
7.2.3 Understanding the Behavioral Patterns of Students in a Game-based Learning Environment 102
References 105
參考文獻 Amory, A., Naicker, K., Vincent, J., & Adams, C. (1999). The use of computer games as an educational tool: identification of appropriate game types and game elements. British Journal of Educational Technology, 30(4), 311–321.
Bakeman, R., & Gottman, J. M. (1997). Observing interaction: An introduction to sequential analysis (2nd Ed.). Cambridge, UK: Cambridge University Press.
Bandura, A. (1977). Self-efficacy: Toward a unifying theory of behavioral change. Psychological Review, 84, 191–215.
Barab, S. A., Thomas, M., Dodge, T., Carteaux, R., & Tuzun, H. (2005). Making learning fun: Quest Atlantis, a game without guns. Educational Technology Research and Development, 53(1), 86–107.
Barab, S., & Squire, K. (2004). Design-based research: Putting a stake in the ground. Journal of the Learning Sciences, 13(1), 1–14.
Beck, A., & Katcher, A. (1996). Between pets and people. West Lafayette, IN: Purdue University Press.
Blair, K., Schwartz, D., Biswas, G., & Leelawong, K. (2006). Pedagogical Agents for Learning by Teaching: Teachable Agents, Educational Technology & Society, Special Issue on Pedagogical Agents.
Bogdan, R., &Biklen, S. (1998). Qualitative research in education: An introduction to theory and methods (3rd Ed.). Boston: Allyn & Bacon.
Bornstein, G., Uri, G., & Rosemarie N. (2002). The effect of intergroup competition on intragroup coordination: An experimental study. Games and Economic Behavior, 41(1), 1-25.
Bull, S., & Kay, J. (2007). Student Models that Invite the Learner In: The SMILI :() Open Learner Modeling Framework. International Journal of Artificial Intelligence in Education, 17(2), 89-120.
Burton, R. R. & Brown, J. S. (1979). An investigation of computer coaching for informal learning activities, International Journal of Man-Machine Studies, 11 11, 5–24.
Camic, P.M., Rhodes, J.E., & Yardley, L. (Eds.) (2003). Qualitative research in psychology----Expanding perspectives in methodology and design. Washington: APA.
Chan, T. W. (1996). Learning companion systems, social learning systems, and the global social learning club. Journal of Artificial Intelligence in Education, 7(2), 125-159.
Chan, T. W. (2005). Lifelong Learning Companion: A Grand Challenge Problem for Advanced Learning Technologies. Keynote speech in the International Conference on Advanced Learning Technologies (ICALT), Kaohsiung, Taiwan.
Chan, T. W. (2010). How East Asian classrooms may change over the next 20 years. Journal of Computer Assisted Learning, 26(1), 28-52. doi:10.1111/j.1365-2729.2009.00342.x
Chan, T. W., Chung, Y. L., Ho, R. G., Hou, W. J., & Lin, G. L. (1992). Distributed learning companion systems - WEST revisited. In C. Frasson, G. Gauthier & G. McCalla (Eds.), Proceedings of the 2nd international conference of intelligent tutoring systems, Lecture notes in computer science (Vol. 608, pp. 643-650): Springer-Verlag.
Chan, T. W., Roschelle, J., Hsi, S., Kinshuk, Sharples, M., Brown, T., Patton, C., Cherniavsky, J., Pea, R., Norris, C., Soloway, E., Balacheff, N., Scardamalia, M., Dillenbourg, P., Looi, C., Milrad, M., & Hoppe, U. (2006). One-to-one technology-enhanced learning: an opportunity for global research collaboration. Research and Practice in Technology Enhanced Learning, 1(1), 3–29.
Chang, L. J., Yang, J. C., & Yu, F. Y., & Chan, T. W. (2003). Development and evaluation of multiple competitive activities in a synchronous quiz game system. Innovations in Education & Teaching International, 40, 16-26. doi: 10.1080/1355800032000038840.
Chang, S. B., Lin, C. J., Ching, E., Cheng, H. N. H., Chang, B., Chen, F. C., Wu, D., & Chan, T. W. (2009). EduBingo: Developing a Content Sample for the One-to-One Classroom by the Content-First Design Approach. Educational Technology & Society, 12(3) 343-353.
Chen, Z. H., Deng, Y. C., Chou, C. Y., & Chan, T. W. (2007). Active open learner models as animal companions: motivating children to learn through interaction with My-Pet and Our-Pet. International Journal of Artificial Intelligence in Education. 17, 145-167.
Chen, Z. H., Liao, C. C. Y., & Chan, T. W. (2007). My-Pet-and-Her-Friends: Identify Educational Roles of Animal Companions in Game-based Learning Environment. DIGITEL2007 (Digital Game and Intelligent Toy Enhanced Learning) Workshop (pp. 104-108), Jongli, Taiwan.
Chen, Z. H., Liao, C. C. Y., & Chan, T. W. (2008). Learning by Substitutive Competition: Nurturing My-Pet for Game Competition Based on Open Learner Model. DIGITEL2008 (Digital Game and Intelligent Toy Enhanced Learning) Conference (pp. 124-131), Banff, Canada.
Chen, Z. H., Liao, C. C. Y., & Chan, T. W. (2010). Quest Island: Developing Quest-Driven Learning Model by Blending Learning Tasks with Game Quests in a Virtual World. The 3rd IEEE International Conference on Digital Game and Intelligent Toy Enhanced Learning (pp.93-100), Kaohsiung, Taiwan.
Chen, Z. H., Liao, C. C. Y., Cheng, H. N. H., Yeh, C. Y. C. & Chan, T. W. (in press). Influence of Game Quests on Pupils’ Enjoyment and Goal-Pursuing in Math Learning. Journal of Educational Technology and Society.
Chen, Z. H., Liao, C. C. Y., Chien, T. C., & Chan, T. W. (2011). Animal companions: Fostering children's effort-making by nurturing virtual pets. British Journal of Educational Technology, 42(1), 166-180. doi:10.1111/j.1467-8535.2009.01003.x
Chen, Z. H., Tang, T., Tseng, Y. F., Chen, P., & Chan, T. W. (2008). Not Sugar, but Salt: Pet-Nurturing Game Model for Student Learning. In T. W. Chan, G. Biswas, F. C. Chen, S. Chen, C. Chou, M. Jacobson, Kinshuk & et al. (Eds.), The 16th International Conference on Computers in Education (pp. 697-704). Taiwan: Asia-Pacific Society for Computers in Education.
Chen, Z. H., Liao, C. C. Y., Chien, T. C., & Chan, T. W. (2008). Nurturing My-Pet: Promoting Effort-Making Learning Behavior by Animal Companions. In T. W. Chan, G. Biswas, F. C. Chen, S. Chen, C. Chou, M. Jacobson, Kinshuk & et al. (Eds.),The 16th International Conference on Computers in Education (pp. 27-34). Taiwan: Asia-Pacific Society for Computers in Education.
Cheng, H. N. H., Wu, W. M. C., Liao, C. C. Y., & Chan, T. W. (2009). Equal opportunity tactic: Redesigning and applying competition games in classrooms. Computers & Education, 53(3), 866-876. doi: 10.1016/j.compedu.2009.05.006.
Chesney. T. & Lawson, S. (2008) Learning to care for a real pet whilst interacting with a virtual one? The educational value of games like Nintendogs. In Proc of AISB 08, Symposium on "The Reign of Catz and Dogz'08? The role of virtual creatures in a computerised society", Aberdeen University, 1 April 2008.
Chin, D., Dohmen, I., Cheng, B., Oppezzo, M., Chase, C., & Schwartz, D. (2010). Preparing students for future learning with Teachable Agents. Educational Technology Research and Development. doi:10.1007/s11423-010-9154-5
Chou, C. Y., Chan, T. W., & Lin, C. J. (2003). Redefining the learning companion: the past, present, and future of educational agents. Computers & Education, 40, 255–269.
Cooper, H., Civey, J.,& Patall, E. A. (2006). Does homework improve academic achievement? A synthesis of research, 1987–2003. Review of Educational Research, 76(1), 1 -62.
Crawford, C. (1982). The art of computer game design. Berkeley, CA: Osborne/McGraw-Hill.
Creswell, J. W. (2003). The Use of Theory. In Research design: Qualitative, quantitative, and mixed methods approaches (Second ed.). Thousand Oaks, CA: Sage Publications.
Csikszentmihalyi, M. (1990). Flow: The psychology of optimal experience. New York: Harper & Row.
De Vries, D. L., & Slavin, R. E. (1978). Teams-Games-Tournaments (TGT): Review of Ten Classroom Experiments. Journal of Research and Development in Education, 12(1), 28-38.
Deci, E.L., Betley, G., Kahle, J., Abrams, L. & Porac, J. (1981) When trying to win: competition and intrinsic motivation. Personality and Social Psychology Bulletin, 7, 79–83.
Dempsey, J.V., Rasmussen, K., & Lucassen, B. (1996). Instructional gaming: Implications for instructional technology. Proceedings of the Annual Meeting of the Association for Educational Communications and Technology, Nashville, TN.
Dettmers, S., Trautwein, U., Ludtke, O., Kunter, M., & Baumert, J. (2010). Homework Works if Homework Quality Is High: Using Multilevel Modeling to Predict the Development of Achievement in Mathematics. Journal of Educational Psychology, 102(2), 467-482. doi:10.1037/a0018453
Dickey, M. (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. doi: 10.1007/s11423-006-9004-7.
Emes, C.E. (1997). Is Mr. Pac Man eating our children? A review of the effect of video games on children. Canadian Journal of Psychiatry, 42(4), 409-414.
Friedmann, E., Katcher, A. H., & Thomas, S. A. (1983). Social interaction and blood pressure: Influence of animal companions. Journal Nerv Ment Dis, 171(8), 461-465.
Froebel, F. (1887). The Education of Man. (Translated by Hailmann, W.N.) New York, London, D. Appleton Century.
Fu, F. L., Su, R. C., & Yu, S. C. (2009). EGameFlow: A scale to measure learners’ enjoyment of e-learning games. Computers & Education, 52(1), 101-112. doi:10.1016/j.compedu.2008.07.004
Gardner, H. (1983). Frames of Mind: The Theory of Multiple Intelligences. New York: Basic Book.
Gee J. P. (2003). What video games have to teach us about learning and literacy. Palgrave Macmillan, New York.
Goffman, E. (1959). The presentation of self in everyday life. New York, NY: Anchor.
Grimes, S., & Shade, L. R. (2005). Neopian economics of play: Children's cyberpets and online communities as immersive advertising in NeoPets.com. The International Journal of Media and Cultural Politics, 1(2), 181-198.
Guberman, S. R., & Saxe, G. B. (2000). Mathematical problems and goals in children’s play of an educational game. Mind, Culture, and Activity, 7, 201-216.
Hays, R.T. (2005). The effectiveness of instructional games: A literature review and discussion. Retrieved November 3, 2009, from http://adlcommunity.net/file.php/36/GrooveFiles/Instr_Game_Review_Tr_2005.pdf.
Hong, J., Hwang, M., Lu, C., Cheng, C., Lee, Y., & Lin, C. (2009). Playfulness-based design in educational games: a perspective on an evolutionary contest game. Interactive Learning Environments, 17(1), 15. doi:10.1080/10494820701483615
Hutchison, M. A., Follman, D. K., Sumpter, M., & Bodner, G. M. (2006). Factors influencing the self-efficacy beliefs of first-year engineering students. Journal of Engineering Education, 95, 39–47.
Ito, M. & Horst, H. (2006). Neopoints, and Neo Economies: Emergent Regimes of Value in Kids Peer-to-Peer Networks. American Anthropological Association Meetings.
Jeong, A. (2005). A Guide to Analyzing Message–Response Sequences and Group Interaction Patterns in Computer-mediated Communication. Distance Education, 26(3), 367. doi:10.1080/01587910500291470
Jeong, A. C. (2003). The Sequential Analysis of Group Interaction and Critical Thinking in Online Threaded Discussions. American Journal of Distance Education, 17(1), 25-43.
Jeong, A., & Davidson-Shivers, G. V. (2006). The Effects of Gender Interaction Patterns on Student Participation in Computer-Supported Collaborative Argumentation. Educational Technology Research and Development, 54(6), 543-568. doi:10.1007/s11423-006-0636-4
Johnsen, J.-A. K. (2007). Constraints on message size in quasi-synchronous computer mediated communication: Effect on self-concept accessibility. Computers in Human Behavior, 23, 2269–2284.
Johnson, D. W., & Johnson, R. T. (1974). Instructional Goal Structure: Cooperative, Competitive, or Individualistic. Review of Educational Research, 44(2), 213-240. doi: 10.3102/00346543044002213.
Johnson, D. W., & Johnson, R. T. (1991). Learning Together and Alone: Cooperative, competitive, and individualistic learning (3rd Ed.). Englewood, NJ: Prentice Hall.
Johnson, R. T., Johnson, D. W., & Stanne, M. B. (1986). Comparison Of Computer-Assisted Cooperative, Competitive, And Individualistic Learning. American Educational Research Journal, 23(3), 382-392. doi: 10.3102/00028312023003382.
Julian, J, & Perry, F. (1967) Cooperation contrasted with intra-group and inter-group competition, Sociometry, 30, 79–90.
Kapur, M. (2011). Temporality matters: Advancing a method for analyzing problem-solving processes in a computer-supported collaborative environment. Computer-Supported Collaborative Learning, 6(1), 39-56.
Katcher A.H. (2000) The Future of Educational Research on the Animal-Human Bond and Animal Assisted Therapy. Part B: Animal-assisted therapy and the study of human-animal relationships: Discipline or bondage? Context or transitional object? In “Handbook on Animal-Assisted Therapy: Theoretical foundations and Guidelines for Practice” (ed. A. H. Fine), pp. 486–469. Academic Press, New York, NY.
Kaur, B. (2010). Mathematics Homework: A Study of Three Grade Eight Classrooms in Singapore. International Journal of Science and Mathematics Education. doi:10.1007/s10763-010-9237-0.
Kay J. (1997) Learner know thyself: student models to give learner control and responsibility. In International Conference on Computers in Education (eds. Z. Halim, T. Ottomann, & Z. Razak), pp. 17–24. AACE, Charlottesville, VA.
Ke, F. (2008a). Computer games application within alternative classroom goal structures: cognitive, metacognitive, and affective evaluation. Educational Technology Research and Development, 56(5), 539-556. doi: 10.1007/s11423-008-9086-5.
Ke, F. (2008b). Alternative goal structures for computer game-based learning. International Journal of Computer-Supported Collaborative Learning, 3(4), 429-445. doi: 10.1007/s11412-008-9048-2.
Ke, F. (2008c). A case study of computer gaming for math: Engaged learning from gameplay? Computer & Education, 51(4), 1609-1620.
Keller, J. M. (1987). Strategies for stimulating the motivation to learn. Performance & Instruction, 26 (8), 1-7.
Kerawalla, L., O'Connor, J., Underwood, J., duBoulay, B., Holmberg, J., Luckin, R., Smith, H.,& Tunley, H. (2007). Exploring the Potential of the Homework System and Tablet PCs to Support Continuity of Numeracy Practices between Home and Primary School. Educational Media International, 44(4), 289. doi:10.1080/09523980701680904
Kiili, K. (2005). Digital game-based learning: Towards an experiential gaming model. Internet and Higher Education, 8, 13–24.
Kimmerle, J., & Cress, U. (2008). Group awareness and self-presentation in computer-supported information exchange. International Journal of Computer-Supported Collaborative Learning, 3(1), 85-97. doi: 10.1007/s11412-007-9027-z.
Kohn, A. (1992). No contest: the case against competition. Houghton Mifflin, New York.
Kusahara, M. (2001). The Art of Creating Subjective Reality: An Analysis of Japanese Digital Pets. Leonardo, 34(4), 299-302.
Lave, J. & Wenger, E. (1991). Situated Learning: Legitimate peripheral participation. Cambridge University Press, New York.
Lebow, D. (1993), Constructivist values for instructional systems design: five principles toward a new mindset, Educational Technology Research and Development, 41 (3), 4-16.
Lee, H. (2005). Implosion, virtuality, and interaction in an Internet discussion group. Information Communication and Society, 8(1), 47–63.
Lent, R. W., Lopez, F. G., & Bieschke, K. J. (1991). Mathematics self-efficacy: Sources and relation to science-based career choice. Journal of Counseling Psychology, 38, 424–430.
Levinson B. M. (1969) Pet-oriented child psychotherapy. Springfield, IL: Charles C. Thomas.
Liao, C. C. Y., Chen, Z. H., & Chan, T. W. (2008a). Effectiveness of Pet-Nurturing Handheld Game on the Aspects of Learner Motivation. In T. W. Chan, G. Biswas, F. C. Chen, S. Chen, C. Chou, M. Jacobson, Kinshuk & et al. (Eds.), The 16th International Conference on Computers in Education (pp. 705-712). Taiwan: Asia-Pacific Society for Computers in Education.
Liao, C. C. Y., Chen, Z. H., & Chan, T. W. (2008b). Performance-based Learning supported by Performance Stage for Animal Companions. In T. W. Chan, G. Biswas, F. C. Chen, S. Chen, C. Chou, M. Jacobson, Kinshuk & et al. (Eds.), The 16th International Conference on Computers in Education. Taiwan: Asia-Pacific Society for Computers in Education.
Liao, C. C. Y., Chen, Z. H., & Chan, T. W. (2008c). My-Mini-Pet: The Design of Pet-nurturing Handheld Game. DIGITEL2008 (Digital Game and Intelligent Toy Enhanced Learning) Conference (pp.138-140), Banff, Canada.
Liao, C. C. Y., Chen, Z. H., & Chan, T. W. (2009). Designing the game-based environment to facilitate learners' interaction in performance-based learning by virtual pets. In Proceedings of the 9th international conference on Computer supported collaborative learning - Volume 1 (pp. 429-433). Rhodes, Greece: International Society of the Learning Sciences.
Liao, C. C. Y., Chen, Z. H., Cheng, H. N. H., Chen, F. C., & Chan, T. W. (2011). My-Mini-Pet: a handheld pet-nurturing game to engage students in arithmetic practices. Journal of Computer Assisted Learning, 27(1), 76-89. doi:10.1111/j.1365-2729.2010.00367.x
Liao, C. C. Y., Chen, Z. H., Yang, E. F. Y., Chen, F. C. , & Chan, T. W. (2010). Exploring Interactive Patterns among Students in Competitive Games by A Mixed Approach. In S. L. Wong et al. (Eds.), Proceedings of the 18th International Conference on Computers in Education (pp.153-160). Putrajaya, Malaysia: Asia-Pacific Society for Computers in Education.
Liao, C. C. Y., Chen, Z. H., Yeh, C. Y. C., & Chan, T. W. (2011). Exploring the Potential of Game-based Network Homework to Support Sustainable Learning between Home and School. International Conference on Joyful E-Learning (pp.31-36). Taiwan.
Liao, C. C. Y., Chen, Z. H., Cheng, H. N. H., & Chan, T. W. (2010). Preparation-before-Competition: Designing a Game-based Environment to Facilitate Making Effort before Pet-Competitive Stage. In Digital Game and Intelligent Toy Enhanced Learning, IEEE International Workshop on (pp. 171-175). Los Alamitos, CA, USA: IEEE Computer Society.
Liao, C. C. Y., Wu, M., Chen, Z. H., Chen, N. Y. H., & Chan, T. W. (2010). A Preliminary Study of Promoting Students’ Effort-Making by Preparation-before-Competitive Game. In S. L. Wong et al. (Eds.), Proceedings of the 18th International Conference on Computers in Education (pp.553-557). Putrajaya, Malaysia: Asia-Pacific Society for Computers in Education.
Licklider, J. C. R. (1960). Man-Computer Symbiosis. IRE Transactions of Human Factors in Electronics HFE-1(1), 4-11.
Luckin, R., Connolly, D., Plowman, L. & Airey, S. (2003). Children's interactions with interactive toy technology. Journal of Computer Assisted Learning, 19, 2, 165–176.
Malone, T. W. (1981). Toward a theory of intrinsically motivating instruction. Cognitive Science, 5(4), 333-369.
Malone, T. W. and Lepper, M. R. (1987) Making Learning fun: a taxonomy of intrinsic motivations for learning, Aptitude, learning, and instruction, 3, Cognitive and Affective Process Analyses, Erlbaum, Hillsdale, NJ.
Maslow, A. (1954). Motivation and personality. New York: Harper.
Matsui, T., Matsui, K., & Ohnishi, R. (1990). Mechanisms underlying math self-efficacy learning of college students. Journal of Vocational Behavior, 37, 223–238.
Melson G.F. (2001) Why the Wild Things Are: Animals in the Lives of Children Cambridge. Harvard University Press, Boston, MA.
Merriam, S. B. (1998). Qualitative research and case study applications in education. San Francisco: Jossey-Bass.
Mitrovic, A., & Martin, B. (2007). Evaluating the Effect of Open Student Models on Self-Assessment. International Journal of Artificial Intelligence in Education, 17(2), 121-144.
Montessori, M. (1920). The Montessori Method. Translated by Anne. E. George, London: Heinemann.
Myers, O. E. (1998). Children and animals. Boulder, CO: Westview Press.
Papert, S. (1994). The children 's machine. New York: Basic Books.
Patall, E. A., Cooper, H., & Robinson, J. C. (2008). Parent Involvement in Homework: A Research Synthesis. Review of Educational Research, 78(4), 1039 -1101. doi:10.3102/0034654308325185
Prensky, M. (2001). Digital game-based learning. NY: McGraw-Hill.
Prensky, M. (2008). Students as designers and creators of educational computer games: Who else? British Journal of Educational Technology, 39(6), 1004-1019. doi: 10.1111/j.1467-8535.2008.00823_2.x
Qin, Z., Johnson, D. W., & Johnson, R. T. (1995). Cooperative Versus Competitive Efforts and Problem Solving. Review of Educational Research, 65(2), 129-143. doi: 10.3102/00346543065002129.
Randel, J.M., Morris, B., Wetzel, C., & Whitehill, B. (1992). The effectiveness of games for educational purposes: A review of recent research. Simulation & Gaming, 23(3), 261.
Regueras, L., Verdu, E., Verdu, M., Perez, M., de Castro, J., & Munoz, M. (2008). Motivating Students through On-Line Competition: An Analysis of Satisfaction and Learning Styles. In Advances in Web Based Learning - ICWL 2008 (pp. 167-177). Retrieval October 8, 2009, from http://dx.doi.org/10.1007/978-3-540-85033-5_17.
Rieber, L. P. (1996). Seriously considering play: Designing interactive learning environments based on the blending of microworlds, simulations, and games. Educational Technology Research and Development, 44(2), 43–58.
Ronning, M. (2010). Who benefits from homework assignments? Economics of Education Review, In Press, Corrected Proof. doi:10.1016/j.econedurev.2010.07.001
Rosas, R. , Nussbaum, M. , Cumsille, P. , Marianov, V. , Correa, M. , Flores, P. , Grau, V. , Lagos, F. , Lopez, X. , Lopez, V. , Rodriguez, P. , Salinas, M. (2003). Beyond Nintendo: Design and assessment of educational video games for first and second grade students. Computers & Education, 40, 71-94.
Sansone, C., Fraughton, T., Zachary, J. L., Butner, J., & Heiner, C. (2011). Self-regulation of motivation when learning online: the importance of who, why and how. Educational Technology Research and Development, 59(2), 199-212. doi:10.1007/s11423-011-9193-6
Scardamalia, M. & Bereiter, C. (2006). Knowledge building: theory, pedagogy, and technology(pp. 97-119). In K. Sawyer (Eds.), Cambridge Handbook of the Learning Sciences. MA: Harvard University Press.
Schunk, D. H., & Zimmerman, B. J. (1998). Self-Regulated Learning: From Teaching to Self-Reflective Practice. New York: Guilford Press.
Schwartz, D., Blair, K., Biswas, G., Leelawong, K., & Davis, J. (2007). Animations of thought: Interactivity in the teachable agent paradigm. In R. Lowe & W. Schnotz (Eds.), Learning with animation: Research and implications for design. Cambridge: Cambridge University Press.
Self, J. (1988). Bypassing the Intractable Problem of Student Modelling. In Proceedings of the Intelligent Tutoring Systems conference, ITS'88 (pp. 18-24). Montreal, Canada.
Siddiqui, A., Khan, M., & Akhtar, S. (2008). Supply chain simulator: A scenario-based educational tool to enhance student learning. Computers & Education, 51(1), 252-261. doi: 10.1016/j.compedu.2007.05.008.
Slavin, R. (1995). Cooperative learning: Theory, research and practice. Needham Heights, MA: Simon & Schuster.
Squire, K. (2005). Resuscitating research in educational technology: Using game-based learning research as a lens for looking at design-based research. Educational Technology, 2005, 45 (1), 8-14.
Stern, A. (2002). Creating Emotional Relationships with Virtual Characters. In: Trappl, Robert/Petta, Paolo/Payr, Sabine (Eds.) (2002): Emotions in Humans and Artifacts. MIT Press: Cambridge, Ma., 333-362.
Sternberg, R. J., & Lubart, T.I. (1995). Defying the crowd: Cultivating creativity in a culture of conformity. New York: Free press.
Taylor, D., & Altman, I. (1987). Communication in interpersonal relationships: Social penetration processes. In M. E. Roloff, & G. R. Miller (Eds.), Interpersonal processes: New directions in communication research (pp. 257–277). Thousand Oaks: Sage.
Taylor, S. J., & Bogdan, R. (1998a). “Participant Observation:In the Field.” in Introduction to qualitative research methods. pp. 44-86. New York, NY: John Wiley & Sons, Inc.
Taylor, S. J., & Bogdan, R. (1998b). “Working with data: Data analysis in qualitative research.” in Introduction to qualitative research methods. pp. 134-164. New York, NY: John Wiley & Sons, Inc.
Taylor, S. J., & Bogdan, R. (1998c). “In-Depth Interviewing.” in Introduction to qualitative research methods. pp. 87-116. New York, NY: John Wiley & Sons, Inc.
Tchetagni, J., Nkambou, R., & Bourdeau, J. (2007). Explicit Reflection in Prolog-Tutor. International Journal of Artificial Intelligence in Education, 17(2), 169-215.
Trammell, K. D., & Keshelashvili, A. (2005). Examining the new influencers: A self-presentation study of a list-blogs. Journalism and Mass Communication Quarterly, 82, 968–982.
Usher, E. L., & Pajares, F. (2008). Sources of Self-Efficacy in School: Critical Review of the Literature and Future Directions. Review of Educational Research, 78(4), 751 -796. doi:10.3102/0034654308321456.
Van Eck, R., & Dempsey, J. (2002). The effect of competition and contextualized advisement on the transfer of mathematics skills a computer-based instructional simulation game. Educational Technology Research and Development, 50(3), 23–41.
Vogel, J.F., Vogel, D.S., Cannon-Bowers, J., Bowers, C.A., Muse, K., & Wright, M. (2006). Computer gaming and interactive simulations for learning: A meta-analysis. Journal of Educational Computing Research, 34(3), 229-243.
Webster, N. C. (1998), Tamagotchi, Advertising Age, 69(26), 43.
Weiner, B. (1985). An attributional theory of achievement motivation and emotion. Psychological Review, 92, 548–573.
Weiner, B. (1986). An attributional theory of motivation and emotion. New York: Spring-Verlag.
Weiner, B. (1992). Attributional theories of human motivation. In B. Weiner (Ed.), Human motivation: metaphors, theories, and research. Newbury Park, CA: Sage.
Weiner, B., Niernberg, R. & Goldstein, M. (1976). Social learning (locus of control) versus attributional (causal stability) interpretations of expectancy of success. Journal of Personality, 44, 52–68.
Wenger, E. 1998. Communities of Practice: Learning, Meaning, and Identity. Cambridge University Press, Cambridge, U.K.
White, R. W. (1959). Motivation reconsidered: The concept of competence. Psychological Review, 66, 297-333.
Whittemore, I. C. (1924) The influence of competition on performance: an experimental study, Journal of Abnormal and Social Psychology, 19, 236–253.
Wolfe, J. (1997). The effectiveness of business games in strategic management course work. Simulation & Gaming, 28(4), 360-376.
Wu, W. M. C., Cheng, H. N. H., Chiang, M. C., Deng, Y. C., Chou, C. Y., Tsai, C. C., et al. (2007). AnswerMatching: A competitive learning game with uneven chance tactic. In T. W. Chan, A. Paiva, & D. W. Shaffer (Eds.), The first IEEE international workshop on digital game and intelligent toy enhanced learning (pp. 89–96). Los Alamitos, CA: IEEE Computer Society.
Yu, F. Y. (2003). The Mediating Effects of Anonymity and Proximity in an Online Synchronized Competitive Learning Environment. Journal of Educational Computing Research, 29(2), 153-167.
Yu, F. Y., Chang, L. J., Liu, Y. H., & Chan, T. W. (2002). Learning preferences towards computerised competitive modes. Journal of Computer Assisted Learning, 18(3), 341-350. doi: 10.1046/j.0266-4909.2002.00245.x.
Yu, F. Y., Han, C. L., & Chan, T. W. (2008). Experimental comparisons of face-to-face and anonymous real-time team competition in a networked gaming learning environment. Cyberpsychology & Behavior: The Impact of the Internet, Multimedia and Virtual Reality on Behavior and Society, 11(4), 511-514. doi: 10.1089/cpb.2007.0171.
指導教授 陳德懷(Tak-Wai Chan) 審核日期 2011-10-18
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