| 參考文獻 |
Abu-Elwan, R. (2007). The use of webquest to enhance the mathematical problem-posing skills of pre-service teachers,. The International Journal for Technology, 14(1), 31.
Albayrak, M., Ipek, A. S., & Isik, C. (2006). Problem designing-solving studies in teaching of basic operation skills. Journal of Erzincan Education Faculty, 1-11.
Baki, A. (2008). Mathematics education from theory to practice. Ankara: Harf Educational Publications.
Baki, A., & Pirasa, N. (2007). Determination of preservice teachers’ understanding of decimal number with word-association tests. The 16th National Educational Sciences Congress. Tokat.
Barak, M., & Rafaeli, S. (2004). On-line question-posing and peer-assessment as means for web-based knowledge sharing in learning. International Journal of Human-Computer Studies, 84-103.
Baykul, Y. (2001). Elementary mathematics education. Ankara: Pegem Publications.
Brown, S., & Walter, M. (1990). “The art of problem posing (2nd ed.)”. Philadelphia: Franklin Institute Press.
Cai, J., Moyer, J. C., Wang, N., Hwang, S., Nie, B., & Garber, T. (2012). Mathematical problem posing as a measure of curricular effect on students’ learning. Educational Studies in Mathematics,, 57-69.
Center, N. R. (2000). Mathematics Problem Solving Scoring Guide. USA.
Cheng, B., Wang, M., Moormann, J., Olaniran, B. A., & Cheng, N. S. (2012). The effects of organizational learning environment factors on e-learning acceptance. Computers & Education, 885–899.
63
Cheng, M. Y. (2012). Effects of quality antecedents on e-learning acceptance. Internet Research, 361–390.
Chi, M. T., & Wylie, R. (2014). The ICAP framework: Linking cognitive engagement to active learning outcomes. Educational Psychologist, 219-243.
Cross, D. I. (2009). Creating optimal mathematics learning environments: Combining argumentation and writing to enhance achievement. International Journal of Science and Mathematics Education, 905-930.
Cross, D., Taasoobshirazi, G., Hendricks, S., & Hickey, D. T. (2008). Argumentation: A strategy for improving achievement and revealing scientific identities. International Journal of Science Education, 837-861.
Davis, F. D. (1898). Perceived usefulness, perceived ease of use and user acceptance of information technology. MIS Quarterly, 319-340.
Davis, F. D. (1986). Technology acceptance model for empirically testing new end-user information systems: Theory and results. USA: Massachussetts Institute of Technology.
Davis, F. D. (1993). User acceptance of information technology: System characteristics, user perceptions and behavioral impacts. International Journal of Man–Machine Studies, 475-487.
Debellis, V. A., & Goldin, G. A. (2006). Affect and meta-affect in mathematical problem solving a representational perspective. Educational Studies in Mathematics, 131–147.
DeLone, W. H., & McLean, E. R. (2003). The DeLone and McLean model of information systems success: A ten year update. Journal of Management Information Systems, 9-30.
64
Denny, P., Hamer, J., Luxton-Reilly, A., & Purchase, H. (2008). PeerWise: students sharing their multiple choice questions. Proceeding of the Fourth International Workshop on Computing Education Research. Sydney, Australia.
Dickerson, V. M. (1999). “The impact of problem-posing instruction on the mathematical problem-solving achievement of seventh graders.” Unpublished doctoral dissertation. USA: Department of Educational Studies, Emory University.
El-Bishouty, M. M., Ogata, H., & Yano, Y. (2007). PERKAM: Personalized Knowledge Awareness Map for Computer Supported Ubiquitous Learning. Educational Technology & Society, 10 (3), 122-134.
Ergün, H. (2010). The effect of problem posing on conceptual learning and problem solving in physics education. Published doctoral dissertation. Istanbul: Marmara University Institute of Educational Sciences.
Evangelos, T., Andreas, P., & & Stavros, D. (2003). The design and the formative evaluation of an adaptive educational system based on cognitive styles. Computers and Education, 87–103.
Falchikov, N. (1995). Peer feedback marking: Developing peer assessment. Programmed Learning, 175-187.
Falchikov, N., & Goldfinch, J. (2000). Student peer assessment in higher education: A meta-analysis comparing peer and teacher marks. Review of Educational Research, 287-322.
Fellenz, M. R. (2004). Using assessment to support higher level learning: the multiple choice item development assignment. Assessment & Education in Higher Education, 703–719.
Forgues, H. L., Tian, J., & Siegler, R. S. (2015). Why is learning fraction and decimal arithmetic so difficult? Developmental Review, 38, 201-221.
65
Freeman, M. (1995). Peer assessment by groups of group work. Assessment & Evaluation in Higher Education, 289-300.
Goldin, G. A. (1998). Representational systems, learning, and problem solving in mathematics. The Journal of Mathematical Behavior, 137–165.
Grundmeier, T. A. (2003). “The effects of providing mathematical problem posing experiences for K-8 pre-service teachers: Investigating teachers’ beliefs and characteristics of posed problems" Unpublished doctoral dissertation. University of New Hampshire.
Grundmeier, T. A. (2003). “The effects of providing mathematical problem posing experiences for K-8 pre-service teachers: Investigating teachers’ beliefs and characteristics of posed problems.” Unpublished doctoral dissertation. University of New Hampshire.
Hassanzadeh, A., Kanaani, F., & Elahi, S. (2012). A model for measuring e-learning . Expert Systems with Applications systems success in universities, 10959–10966.
Hirai, Y., & Hazeyama, A. (2007). Concerto II: a learning support system based on question-posing. Proceedings of the 7th IEEE International Conference on Advanced Learning Technologies, (pp. 338-339). Niigata, Japan.
Hitt, F. (2002). Representations and mathematical visualization: PME-NA Working Group (1998–2002). Mexico City: Cinvestav-IPN.
House, J. D. (2006). Mathematics Beliefs and Achievement of Elementary School Students in Japan and the United States: Results From the Third International Mathematics and Science Study. The Journal of Genetic Psychology, 31-46.
Hsieh, S. W., Jang, Y. R., Hwang, G. J., & Chen, N. S. (2011). Effects of teaching and learning styles on students’ reflection levels for ubiquitous learning. Computers & Education, 57, 1194–1201.
66
Hwang, G. J., Yang, T. C., Tsai, C. C., & Yang, S. J. (2009). A context-aware ubiquitous learning environment for conducting complex science experiments. Computers & Education, 53, 402-413.
Hwang, W. Y., & Chen, N. S. (2007). Multiple Representation Skills and Creativity Effects on Mathematical Problem Solving using a Multimedia Whiteboard System. Educational Technology & Society, 10 (2), 191-212.
Hwang, W. Y., Shadiev, R., Tseng, C. W., & Huang, Y. M. (2015). Exploring Effects of Multi-Touch Tabletop on Collaborative Fraction Learning and the Relationship of Learning Behavior and Interaction with Learning Achievement. Educational Technology & Society, 18 (4), 459–473.
Hwang, W. Y., Su, J. H., Huang, Y. M., & Dong, J. J. (2009). A study of multi-representation of geometry problem solving with virtual manipulatives and whiteboard system. Educational Technology & Society, 229–247.
Işık, C., Işık, A., & Kar, T. (2011). Analysis of the problems related to verbal and visual representations posed byr pre-service mathematics teachers. Pamukkale University Journal of Education, 39-49.
Jeong, H., & Chi, M. T. (2007). Knowledge convergence and collaborative learning. Instructional Science, 287–315.
Kali, Y., & Linn, M. C. (2008). Designing effective visualizations for elementary school science. The Elementary School Journal, 181–198.
Keller, J. (1979). Motivation and instruction design: a theorical perspective. Journal of Intructional Development, 26-34.
Kim, K., Trimi, S., Park, H., & Rhee, S. (2012). The impact of CMS quality on the outcomes of e-learning systems in higher education An empirical study. Decision Sciences Journal of Innovative Education, 575–587.
67
Klahr, D., Triona, L. M., & Williams, C. (2007). Hands on what? The relative effectiveness of physical versus virtual materials in an engineering design project by middle school children. Journal of Research in Science Teaching, 183-203.
Kong, S. C. (2008). The development of a cognitive tool for teaching and learning fractions in the mathematics classroom: A design-based study. Computers & Education, 51, 886-899.
Kong, S. C., & Kwok, L. F. (2003). A graphical partitioning model for learning common fraction: designing affordances on a web-supported learning environment. Computers & Education, 40, 137-155.
Kong, S. C., & Kwok, L. F. (2005). A cognitive tool for teaching the addition/subtraction of common fractions: a model of affordances. Computers & Education, 45, 245-265.
Lesh, R., Post, T., & Behr, M. (1987). Representations and translations among representations in mathematics learning and problem solving. Problems of Representation in the Teaching and Learning of Mathematics, 33-40.
Li, Y., Duan, Y., Fu, Z., & Alford, P. (2012). An empirical study on behavioral intention to reuse e-learning systems in rural China. British Journal of Educational Technology, 933-948.
Liu, M.-L. (2003). Study of students’ decimal concepts from decimal symbol issues. Pingdong Normal College Journal(18), 459–494.
Malehorn, H. (1994). Ten measures better than grading. The Clearing House, 323-324.
Mason, L., Pluchino, P., Tornatora, M. C., & Ariasi, N. (2013). An Eye-Tracking Study of Learning from Science Text with Concrete and Abstract Illustrations. The Journal of Experimental Education, 81 (3), 356-384.
68
Mestre, J. P. (2002). Probing adults’ conceptual understanding and transfer of learning via problem posing. Journal of Applied Developmental Psychology, 9-50.
Murakami, C., Valvona, C., & Broudy, D. (2012). Turning apathy into activeness in oral communication classes: Regular self-and peer-assessment in a tblt programme. System, 407-420.
Nakahara, T. (2008). “Cultivating mathematical thinking through representation-utilizing the representational system-”. APEC-TSUKUBA International Congress. Japan.
National Mathematics Advisory Panel. (2008). Foundations for success: The final report of the National Mathematics Advisory Panel. Washington: DC: Department of Education.
Petter, S., & McLean, E. R. (2009). A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level. Information & Management, 159–166.
Petter, S., DeLone, W., & McLean, E. (2008). Measuring information systems success: Models, dimensions, measures, and interrelationships. European Journal of Information Systems, 236-263.
Phumeechanya, N., & Wannapiroon, P. (2014). Design of problem-based with scaffolding learning activities in ubiquitous learning environment to develop problem-solving skills. Social and Behavioral Sciences, 116, 4803 – 4808.
Polya, G. (1945). How to solve it (2nd ed.). New York: Doubleday.
Ramayah, T., Ahmad, N. H., & Lo, M. C. (2010). The role of quality factors in intention to continue using an e-learning system in Malaysia. Procedia-Social and Behavioral Science, 5422-5426.
69
Roca, J. C., & Martinez, F. J. (2006). Understanding e-learning continuance ntention: An extension of the technology acceptance model. International Journal of Human-Computer Studies, 683–696.
Rogers, Y., Price, S., Randell, C., Fraser, D. S., Weal, M., & Fitzpatrick, G. (2005). Ubi-learning integrating indoor and outdoor learning experiences. Communications of the ACM, 48 (1), 55-59.
Rubin, R. F., & Turner, T. (2012). Student performance on and attitudes toward peer assessments on advanced pharmacy practice experience assignments. Currents in Pharmacy Teaching and Learning, 113-121.
Saba, T. (2013). Implications of e-learning systems and self-efficacy on students outcomes: A model approach. Human-centric Computing and Information Science, 2-11.
Sánchez, R. A., Hueros, A. D., & Ordaz, M. G. (2013). E-learning and the University of Huelva: A study of WebCT and the technological acceptance model. Campus-Wide Information Systems, 135-160.
Schuwirth, L. (2004). Optimising new modes of assessment: In search of qualities and standards. Tijdschrift voor Medisch Onderwijs, 250-251.
Sengul, S., & Katranci, Y. (2012). Problem solving and problem posing skills of prospective mathematics teachers about the ‘sets’ subject. International Conference on Education and Educational Psychology (ICEEPSY 2012), (pp. 1650-1655).
Seyhan, G., & Gür, H. (2004, 01 06). Mistakes and misconceptions of 7th and 8th graders in the subject of decimals. Retrieved from http://www.matder.org.tr/bilim/gshg.asp?ID=76: 2018
Silver, E. A., & Cai, J. (1993). Mathematical problem posing and problem solving by middle school students. Paper presented at the annual meeting of the American Educational Research Association, Atlanta, GA.
70
Spiro, R. J., Feltovich, P. J., Jacobson, M. J., & Coulson, R. L. (1992). Cognitive flexibility, constructivism, and hypertext: Random access instruction for advanced knowledge acquisition in ill-structured domains. Constructivism and the Technology of Instruction: A Conversation, 57–75.
Stickles, P. R. (2006). “An analysis of secondary and middle school teachers’ mathematical problem posing.” Unpublished doctoral dissertation. Graduate Faculty, Indiana University.
Stoyanova, E., & Ellerton, N. F. (1996). A framework for research into students’ problem posing. In P. Clarkson (Ed.). Technology in mathematics education, 518-525. Retrieved from http://www.merga.net.au/documents/RP_Stoyanova_Ellerton_1996.pdf.
Suvorov, R. (2009). Context visuals in L2 listening tests: the effects of photographs and video vs. audio-only format. . Developing and evaluating language learning materials, 53-68.
Topping, K. (1998). Peer assessment between students in colleges and universities. Review of educational Research, 249-276.
Topping, K. (2010). Investigating secondary school students’ unmediated peer assessment skills. Learning and Instruction, 339-343.
Triantafillou, E., Pomportsis, A., & Demetriadis, S. (2003). The design and the formative evaluation of an adaptive educational system based on cognitive styles. Computers & Education, 87-103.
Triona, L. M., & Klahr, D. (2003). Point and click or grab and heft: comparing the influence of physical and virtual instructional materials on elementary school students′ ability to design experiments. Cognition and Instruction, 149-173.
Tsubota, E. (1987). On children’s problem posing (grades 1 to 3). Japan.
71
Venkatesh, V., & Davis, F. D. (1996). model of the antecedents of perceived ease of use: Development and test. Decision Sciences, 451-481.
Wang, H. C., & Chiu, Y. F. (2011). Assessing e-learning 2.0 system success. Comnputer & Education, 1790-1800.
Wang, H. C., & Chiu, Y. F. (2011). Assessing e-learning 2.0 system success. . Computers and Education, 1790-1800.
Weigand, F. S., Kohnert, A., & Growalla, U. (2010). A closer look at split visual attention in system- and self-paced instruction in multimedia learning. Learning and Instruction, 20, 100-110.
Wilson, E. V. (2004). ExamNet asynchronous learning network: augmenting face-to-face courses with student-developed exam questions. Computers & Education, 87-107.
Yu, F. Y. (2011). Multiple peer-assessment modes to augment online student question-generation processes. Computers & Education, 484-494.
Yu, F. Y., & Liu, Y. H. (2009). Creating a psychologically safe online space for a student-generated questions learning activity via different identity revelation modes. British Journal of Educational Technology, 1109-1123.
Yu, F. Y., Liu, Y. H., & Chan, T. (2005). AWeb-based learning system for question-posing and peer assessment: pedagogical design and preliminary evaluation. Innovations in Education and Teaching International, 337-384.
Yu, S. Y., & Chang, C. K. (2009). What Did Taiwan Mathematics Teachers Think of Model-Eliciting Activities And Modeling? Trends In Teaching And Learning Of Mathematical Modelling International Perspectives on the Teaching and Learning of Mathematical Modelling, 147-156. |
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