研究生: |
吳秋儀 Chiu-Yi Wu |
---|---|
論文名稱: |
學習任務與學習程序對高中程式語言學習成效之影響 The effects of learning task and learning sequence on high school students' programming learning |
指導教授: | 陳明溥 |
學位類別: |
碩士 Master |
系所名稱: |
資訊教育研究所 Graduate Institute of Information and Computer Education |
論文出版年: | 2005 |
畢業學年度: | 93 |
語文別: | 英文 |
論文頁數: | 118 |
中文關鍵詞: | 學習任務 、學習程序 、任務導向學習 、個別化學習 、電腦輔助學習 |
英文關鍵詞: | Learning task, Learning sequence, Task-oriented learning, Individualized learning, Computer-assisted instruction |
論文種類: | 學術論文 |
相關次數: | 點閱:182 下載:62 |
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本研究旨在探討學習任務與學習程序對高中程式語言學習成效之影響,以及高中生對本研究使用的電腦輔助學習教材所持之看法與態度。共有144位普通高中二年級學生,以班級為單位分派至「任務導向-個別化學習」組、「任務導向-程序性學習」組、「階層導向-個別化學習」組、「階層導向-程序性學習」組進行教學實驗。
研究結果發現:(1)在程式理解學習成效上,學習任務╳學習程序之交互作用未達顯著,學習任務及學習程序對學習成效之影響亦均無顯著差異;(2)在問題解決學習成效上,學習任務╳學習程序之交互作用達顯著;就學習任務而言,個別化學習與程序性學習對學習成效之影響均無顯著差異;就學習程序而言,程序性學習組的學習者,以使用階層導向學習比使用任務導向學習的成效較佳;(3)就學習態度而言,僅學習任務的類型會對學習態度產生顯著影響,並以任務導向學習組對學習方式的接受度、對電腦輔助學習教材的操作容易度、及對學習過程的幫助程度持中立偏正面的看法。
The purpose of the present study was to investigate the effects of type of learning task and type of learning sequence on senior high students’ learning performance in programming and attitudes toward the computer-assisted Loop Structure instruction. Participants were assigned to one of the four different groups: the task-oriented individualized learning group (TOI), task-oriented procedural learning group (TOP), hierarchy-oriented individualized learning group (HOI), and hierarchy-oriented procedural learning group (HOP).
The results show that, on program comprehension performance, the effects of learning task and learning sequence were not significant between groups. On problem solving performance, interactive effect of learning task and learning sequence was significant. Finally, on the analysis of learner’s attitude, the task-orient learning groups showed more favorable impression than the hierarchy-oriented learning groups.
Alvarstein, V. & Johannesen, L. K. (2001). Problem-based learning approach in teaching lower level logistics and transportation. International Journal of Physical Distribution & Logistics Management, 31(7), 557-573.
Anderson, L. W. (1979). Adaptive education. Educational Leadership, 37(2), 140-143.
Bayman, P. & Mayer, R. E. (1983). A diagnosis of beginning programmers’ misconceptions of BASIC programming statements. Communications of the ACM, 26, 677-679.
Bayman, P. & Mayer, R. E. (1988). Using conceptual models to teach BASIC computer programming. Journal of educational psychology, 80(3), 291-298.
Bloom, B. S. (1974). An introduction to mastery learning theory. In J. H. Block (Ed.), School, society, and mastery learning (pp. 6). NY: Holt, Rinehart and Winston.
Bransford, J. D. & Stein, B. S. (1993). The IDEAL problem solver (2nd ed.). NY: Freeman.
Cardelle-Elawar, M. (1992). Promoting self-regulation in mathematics problem solving through individualized feedback to bilingual students. Bilingual Review, 17(1), 36-42.
Carder, L., Willingham, P., & Bibb, D. (2001). Case-based, problem-based learning: Information literacy for the real world. Research Strategies, 18(3), 181-190.
Chang, C. Y. (2002). Does computer-assisted instruction + problem solving = improved science outcomes? A pioneer study. The Journal of Educational Research, 95(3), 143-150.
ChanLin, L. J. & Chan, K. C. (2004). PBL approach in web-based instruction. Journal of Instructional Psychology, 31(2), 98-105.
Charles, C. M. (1976). Individualizing instruction. London: Mosby.
Chi, M. T. H. & Glaser, R. (1985). Problem-solving ability. In R. J. Sternberg (Ed.), Human abilities: An information-processing approach (pp. 227-250). NY: Freeman.
Como, L. & Snow, E. R. (1986). Adapting teaching to individual differences among learners. In M. C. Wittrock (Ed.), Handbook of research on teaching (3rd ed.). NY: Macmillan.
Crookes, G. (1986). Task classification: A cross-disciplinary review. Technical Report No. 4. Honolulu: Centre for Second Language Classroom Research, Social Science Research Institute, University of Hawaii.
da Silveira, M. A. & Carlos Scavarda-do-Carmo, L. (1999). Sequential and concurrent teaching: Structuring hands-on methodology. IEEE Transactions on Education, 42(2), 103-108.
Dahlgren, M. A. & Öberg, G. (2001). Questioning to learn and learning to question: Structure and function of problem-based learning scenarios in environmental science education. Higher Education, 41, 263-282.
Deek, F. P, Turoff, M., & McHugh, J. A. (1999). A common model for problem solving and program development. IEEE Transactions on Education, 42(4), 331-336.
Dewey, J. (1910). How we think. Boston, MA: Heath.
Dolmans, D. H. J. M., Snellen-Balendong, H., Wolfhagen, I. H. A. P., & van der Vleuten, C. P. M. (1997). Seven principles of effective case design for a problem-based curriculum. Medical Teacher, 19(3), 185-189.
Enger, K. B., Brenenson, S., Katy, L., MacMillan, M., Meisart, M. F., Meserve, H., & Vella, S. A. (2002). Problem-based learning: Evolving strategies and conversations for library instruction. Reference Services Review, 30(4), 355-358.
Ennis, D. L. (1994). Combining problem-solving instruction and programming instruction to increase the problem-solving ability of high school students. Journal of Research on Computing in Education, 26(4), 488-496.
Fay, A. L., Mayer, R. E. (1988). Learning Logo: A cognitive analysis. In R. E. Mayer (Ed.), Teaching and learning computer programming (pp. 55-74). Hillsdale, NJ: Lawrence Erlbaum Associates.
Felleisen, M., Findler, R. B., Flatt, M., & Krishnamurthi, S. (2004). The TeachScheme! project: Computing and programming for every student. Computer Science Education, 14(1), 55-77.
Fletcher, J. D. (1992). Individualized systems of instruction. In M. C. Alkin (Ed.), Encyclopedia of educational research (pp. 612-620). NY: Macmillan.
Foshay, R & Kirkley, J. (2003). Principles for teaching problem solving. Retrieved May 31, 2005, from http://www.plato.com/downloads/papers/paper_04.pdf
Frederiksen, N. (1984). Implications of cognitive theory for instruction in problem solving. Review of Educational Research, 54(3), 363-407.
Gagné, R. (1985). The Conditions of Learning (4th ed.). NY: Holt, Rinehart & Winston .
Gagné, R. M., Mayor, J. R., Garstens, H. L., & Paradise, N. E. (1962). Factors in acquiring knowledge of a mathematical task. Psychological Monographs, 76(7), 1-19.
Gates, K. F., Lawhead, P. B., & Wilkins, D. E. (1998). Towards an adaptive WWW: A case study in customized hypermedia. New Review of Hypermedia and Multimedia, 4, 89-113.
Glaser, R. (1977). Adaptive education: Individual, diversity, and learning. NY: Holt, Rinehart and Winston.
Glaser, R. & Resnick, L. B. (1972). Instructional psychology. Annual Review of Psychology, 23, 207-276.
Govindasamy, T. (2002). Successful implementation of e-learning: Pedagogical considerations. The Internet and Higher Education, 4, 287-299.
Guskey, T. R. (1985). Implementing mastery learning. Belmont, CA: Wadsworth, Inc.
Harland, T. (2003). Vygotsky’s zone of proximal development and problem-based learning: Linking a theoretical concept with practice through action research. Teaching in Higher Education, 8(2), 263-272.
Hayes, J. R. (1989). The complete problem solver (2nd ed.). Hillsdale, NJ: Erlbaum.
Heathers, G. (1977). A working definition of individualized instruction. Educational Leadership, 34(5), 342-345.
Heh, J. S. (1999). Evaluation model of problem solving. Mathematical and Computer Modelling, 30, 197-211.
Huitt, W. G. (1992). Problem solving and decision making: Consideration of individual differences using the Myers-Briggs type indicator. Journal of Psychological Type, 24, 33-44.
Jonassen, D. H. (1997). Instructional design models for well-structured and ill-structured problem-solving learning outcomes. Educational Technology, Research and Development, 45(1), 65-94.
Jonassen, D. H. (2000). Toward a design theory of problem solving. Educational Technology Research and Development, 48(4), 63-85.
Jonassen, D. H. & Kwan, H. I. (2001). Communication patterns in computer mediated versus face-to-face group problem solving. Educational Technology, Research and Development, 49(1), 35-51.
Ko, A. J. & Uttl, B. (2003). Individual differences in program comprehension strategies in unfamiliar programming systems. In 11th IEEE International Workshop on Program Comprehension (IWPC ’03), pp. 175-184, Portland, Oregon, USA.
Linn, M. C. & Dalbey, J. (1985). Cognitive consequences of programming instruction: Instruction, access, and ability. Educational Psychologist, 20(4), 191-206.
Lohman, M. C. & Finkelstein, M. (2002). Designing cases in problem-based learning to foster problem-solving skill. European Journal of Dental Education, 6(3), 121-127.
Magoulas, G. D., Papanikolaou, K., & Grigoriadou, M. (2003). Adaptive web-based learning: Accommodating individual differences through system’s adaptation. British Journal of Educational Technology, 34(4), 511-527.
Mahmoud, Q. H., Dobosiewicz, W., & Swayne, D. (2004). Making computer programming fun and accessible. IEEE Computer, 37(2), 106-108.
Mayer, R. E. (1992). Teaching for transfer of problem-solving skills to computer programming. In E. D. Corte, M. C. Linn, H. Mandl, & L. Verschaffel (Eds.), Learning Environment and Problem Solving (pp. 193-206). NY: Springer-Verlag.
Mcmanus, T. F. (2000). Individualizing instruction in a web-based hypermedia learning environment: Nonlinearity, advance organizers, and self-regulated learners. Journal of Interactive Learning Research, 11(3), 219-251.
Ministry of Education, R.O.C. (1995). 高級中學課程標準 [Curriculum standards of senior high school education]. Retrieved May 31, 2005, from http://www.edu.tw/EDU_WEB/EDU_MGT/HIGH-SCHOOL/EDU7362001/i1301/course/current/standard.htm?open
Ministry of Education, R.O.C. (2004). General guidelines of grade 1-9 curriculum of elementary and junior high school education. Retrieved May 8, 2005, from http://teach.eje.edu.tw/Policy/10778728551九年一貫綱要總綱英文版(修正版).htm
Morrison, J. (2004). Where now for problem based learning? The Lancet, 363, 174.
National Association of State Boards of Education Study Group (2001). Any time, any place, any path, any pace: Taking the lead on e-learning policy. Retrieved April 1, 2005, from http://www.nasbe.org/e_learning.html
Newell, A. & Simon, H. (1972). Human problem solving. Englewood Cliffs, NJ: Prentice-Hall.
Norris, C. & Jackson, L. (1992). The effect of computer science instruction on critical thinking skills and mental alertness. Journal of Research on Computing in Education, 24(3), 329-337.
Palumbo, D. B. & Reed, W. M. (1991). The effects of BASIC programming language instruction on high school students’ problem solving ability and computer anxiety. Journal of Research on Computing in Education, 23(3), 343-372.
Park, O. C. & Lee, J. (2003). Adaptive instructional systems. In D. H. Jonassen (Ed.), Handbook of Research for Educational Communications and Technology (pp. 1). Mahwah, NJ: Lawrence Erlbaum Associates, Inc.
Pea, R. D. & Kurland, D. M. (1984). On the cognitive effects of learning computer programming. New Ideas in Psychology, 2(2), 137-167.
Pederson, S. & Liu, M. (2002). The transfer of problem-solving skills from a problem-based learning environment: The effect of modeling an expert’s cognitive processes. Journal of Research on Technology in Education, 35(2), 303-320.
Perkins, D. N., Hancock, C., Hobbs, R., Martin, F., & Simmons, R. (1989). Conditions of learning in novice programmers. In E. Soloway & J. C. Spohrer (Eds.), Studying the novice programmer (pp.261-279). Hillsdale, NJ: Lawrence Erlbaum.
Polya, G. (1945). How to solve it: A new aspect of mathematical method (1st ed.). Princeton, NJ: Princeton University Press.
Race, P. (2000). Task-based learning. Medical Education, 34, 335-336.
Resnick, L. B., Siegel, A. W., & Kresh, E. (1971). Transfer and sequence in learning double classification skills. Journal of Experimental Child Psychology, 11, 139-149.
Robins, A., Rountree, J., & Rountree, N. (2003). Learning and teaching programming: A review and discussion. Computer Science Education, 13(2), 137-172.
Ronteltap, F. & Eurelings, A. (2002). Activity and interaction of students in an electronic learning environment for problem-based learning. Distance Education, 23(1), 11-22.
Ross, S. M. (1984). Matching the lesson to the student: Alternative adaptive designs for individualized learning systems. Journal of Computer-Based Instruction, 11, 42-48.
Schunk, D. H. (1996). Learning Theories: An educational perspective (2nd ed.). Englewood Cliffs, NJ: Prentice-Hall.
Shute, V. J., Lajoie, S. P., & Gluck, K. A. (2000). Individualized and group approaches to training. In S. Tobias & J. D. Fletcher (Eds.), Training and retraining: A handbook for business, industry, government, and the military (pp. 171-207). NY: Macmillan.
Shute, V. & Towle, B. (2003). Adaptive e-learning. Educational Psychologist, 38(2), 105-114.
Singh, J. K. & Zwirner, W. (1996). Toward a theoretical framework of problem solving within LOGO programming environments. Journal of Research on Computing in Education, 29(1), 68-95.
Tennyson, R. D. & Breuer, K. (2002). Improving problem solving and creativity through use of complex-dynamic simulations. Computers in Human Behavior, 18, 650-668.
Wallas, G. (1926). The art of thought. NY: Harcourt Brace Jovanovich.
Wang, M. & Lindvall, C. M. (1984). Individual differences and school learning environments. Review of Research in Education, 11, 161-225.
Willis, J. (1996). A framework for task-based learning (1st ed.). Harlow, UK: Longman.
Winslow, L. E. (1996). Programming pedagogy – A psychological overview. SIGCSE Bulletin, 28, 17-22.
Wood, D. F. (2003). Problem based learning. British Medical Journal, 326, 328-330.
Wu, T. S. & Lin, T. Y. (1977). 個別化學習 [Individualized learning]. Educational Resources and Research Bimonthly, 31, 91.