Challenges to use recommender systems to enhance meta-cognitive functioning in online learners

Educational Recommender Systems and Technologies: Practices and Challenges

Volumn , Issue , 2011, Pages 282-301

  Zhou, Mingming ^a   Xu, Yabo ^b  

^a NANYANG TECHNOLOGICAL UNIVERSITY   (Singapore)

^b SUN YAT SEN UNIVERSITY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 84898214275     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.4018/978-1-61350-489-5.ch012     Document Type: Chapter

References (78)

1. Agrawal, R., & Srikant, R. (1995). Mining sequential patterns. In Proceedings of Eleventh International Conference on Data Engineering (pp. 3-14). Taipei, Taiwan: IEEE Computer Society Press.
2. Ainley, M., & Patrick, L. (2006). Measuring selfregulated learning processes through tracking patterns of student interaction with achievement activities. Educational Psychology Review, 18, 267-286. doi:10.1007/s10648-006-9018-z
3. Aleven, V., & Koedinger, K. R. (2002). An effective metacognitive strategy: Learning by doing and explaining with a computer-based cognitive tutor. Cognitive Science, 26(2), 147-179. doi:10.1207/ s15516709cog2602_1
4. Azevedo, R. (2002). Beyond intelligent tutoring systems: Using computers as metacognitive tools to enhance learning? Instructional Science, 30, 31-45. doi:10.1023/A:1013592216234
5. Azevedo, R., & Cromley, J. G. (2004). Does training of self-regulated learning facilitate student's learning with hypermedia? Journal of Educational Psychology, 96, 523-535. doi:10.1037/00220663.96.3.523
6. Barros, B., & Verdejo, M. F. (2000). Analysing student interaction processes in order to improve collaboration. The DEGREE approach. International Journal of Artificial Intelligence in Education, 11, 221-241.
7. Bell, P., & Davis, E. A. (2000). Designing Mildred: Scaffolding students' reflection and argumentation using a cognitive software guide. In B. Fishman & S. O'Connor-Divelbiss (Eds.), Fourth International Conference of the Learning Sciences (pp. 142-149). Mahwah, NJ: Erlbaum.
8. Bjork, R. A. (1999). Assessing our own competence: Heuristics and illusions. In Gopher, D., & Koriat, A. (Eds.), Attention and performance XVII. Cognitive regulation of performance: Interaction of theory and application (pp. 435-459). Cambridge, MA: MIT Press.
9. Bobadilla, J., Serradilla, F., & Hernando, A., & MovieLens. (2009). Collaborative filtering adapted to recommender systems of e-learning. Knowledge-Based Systems, 22, 261-265. doi:10.1016/j.knosys.2009.01.008
10. Brown, A. L., Bransford, J. D., Ferrara, R. A., & Campione, J. C. (1983). Learning, remembering, and understanding. In J. H. Flavell & E. M. Markman (Eds.), Handbook of child psychology (4th ed.): Cognitive development (vol. 3, pp. 77-166). New York, NY: Wiley.
11. Bull, S. (1997). Promoting effective learning strategy use in CALL. Computer Assisted Language Learning, 10(1), 3-39. doi:10.1080/0958822970100102
12. Bull, S., & Kay, J. (2008). Metacognition and open learner models. In I. Roll & V. Aleven (Eds.), Proceedings of Workshop on Metacognition and Self-Regulated Learning in Educational Technologies, International Conference on Intelligent Tutoring Systems (pp. 7-20). Montreal, Canada.
13. Chen, C. M., Lee, H. M., & Chen, Y. H. (2005). Personalized e-learning system using item repository theory. Computers & Education, 44, 237-255. doi:10.1016/j.compedu.2004.01.006
14. Chi, M. T., Bassok, M., Lewis, M. W., Reimann, P., & Glaser, R. (1989). Self-explanations: How students study and use examples in learning to solve problems. Cognitive Science, 13, 145-182. doi:10.1207/s15516709cog1302_1
15. Conati, C., & VanLehn, K. (2000). Toward computer-based support of meta-cognitive skills: A computational framework to coach selfexplanation. International Journal of Artificial Intelligence in Education, 11, 398-415.
16. Davis, E. A., & Linn, M. C. (2000). Scaffolding students' knowledge integration: Prompts for reflection in KIE. International Journal of Science Education, 22, 819-837. doi:10.1080/095006900412293
17. Derry, S., & Murphy, D. A. (1986). Designing systems that train learning ability: From theory to practice. Review of Educational Research, 56(1), 1-39.
18. Derry, S. J. (1988). Putting learning strategies to work. Educational Leadership, 46, 4-10.
19. Drachsler, H., Hummel, H. G. K., & Koper, R. (2008). Personal RS for learners in lifelong learning: Requirements, techniques and model. International Journal of Learning Technology, 3, 404-423. doi:10.1504/IJLT.2008.019376
20. Dunning, D., Johnson, K., Ehrlinger, J., & Kruger, J. (2003). Why people fail to recognize their own incompetence. Current Directions in Psychological Science, 12(3), 83-87. doi:10.1111/14678721.01235
21. Dunslosky, J., & Thiede, K. W. (1998). What makes people study more? An evaluation of factors that affect self-paced study. Acta Psychologica, 98, 37-56. doi:10.1016/S0001-6918(97)00051-6
22. Ehrman, M., & Oxford, R. (1990). Adult language learning styles and strategies in an intensive training setting. Modern Language Journal, 74(3), 311-327. doi:10.2307/327627
23. Flavell, J. (1976). Metacognitive aspects of problem-solving. In Resnick, L. (Ed.), The nature of intelligence (pp. 231-236). Hillsdale, NJ: Erlbaum Associates.
24. Flavell, J. H. (1979). Meta-cognition and cognitive monitoring: A new area of cognitive developmental inquiry. The American Psychologist, 34, 906-911. doi:10.1037/0003-066X.34.10.906
25. Flavell, J. H. (1992). Metacognition and cognitive monitoring: A new area of cognitive developmental inquiry. In Nelson, T. O. (Ed.), Metacognition core readings (pp. 3-8). Boston, MA: Allyn and Bacon.
26. Gama, C. (2004). Metacognition in interactive learning environments: The reflection assistant model. In J. C. Lester, R. M. Vicari & F. Paraguacu (Eds), Intelligent Tutoring Systems: 7th International Conference (pp. 668-677). Berlin, Germany: Springer-Verlag.
27. Ge, L., Kong, W., & Luo, J. (2006). Courseware recommendation in e-learning system. In Advances in Web Based Learning ICWL2006 (pp. 10-24). Berlin, Germany: Springer.
28. Ghauth, K. I., & Abdullah, N. A. (2011). Learning materials recommendation using good learners' ratings and content-based filtering. Educational Technology Research and Development, 58, 711-727. doi:10.1007/s11423-010-9155-4
29. Gillette, B. (1987). Two successful language learners. In Faerch, C., & Kasper, G. (Eds.), Introspection in second language research (pp. 268-279). Philadelphia, PA: Clevedon Multilingual Matters.
30. Gordon, J. (1996). Tracks for learning: Metacognition and learning technologies. Australian Journal of Educational Technology, 12, 46-55.
31. Hadwin, A., & Winne, P. (2001). CoNoteS2: A software tool for promoting self-regulation. Educational Research and Evaluation, 7, 313-334. doi:10.1076/edre.7.2.313.3868
32. Hattie, J., Biggs, J., & Purdie, N. (1996). Effects of learning skills interventions on student learning: A meta-analysis. Review of Educational Research, 66, 99-136.
33. Inaba, A., & Okamoto, T. (1996). Development of the intelligent discussion support system for collaborative learning. In Proceedings of EDTELECOM'96 - World Conference on Educational Telecommunications (pp. 137-142). Boston, MA: AACE.
34. Jermann, P., Soller, A., & Muehlenbrock, M. (2001). From mirroring to guiding: A review of the state of the art technology for supporting collaborative learning. In Dillenbourg, P., Eurelings, A., & Hakkarainen, K. (Eds.), European perspectives on computer-supported learning (pp. 324-331). Maastricht, The Netherlands: University of Maastricht.
35. Joseph, N. (2010). Metacognition needed: Teaching middle and high school students to develop strategic learning skills. Preventing School Failure, 54, 99-103. doi:10.1080/10459880903217770
36. Kerkiri, T., Manitsaris, A., & Mavridou, A. (2007). Reputation metadata for recommending personalized e-learning resources. In Proceedings of the Second International Workshop on Semantic Media Adaptation and Personalization (pp. 110-115). Uxbridge, MA: IEEE Computer Society.
37. Khribi, M. K., Jemni, M., & Nasraoui, O. (2009). Automatic recommendations for e-learning personalization based on web usage mining techniques and information retrieval. Journal of Educational Technology & Society, 12, 30-42.
38. Klosgen, W., & Zytkow, J. (2002). Handbook of data mining and knowledge discovery. New York, NY: Oxford University Press.
39. Koriat, A., & Bjork, R. A. (2005). Illusions of competence in monitoring one's knowledge during study. Journal of Experimental Psychology. Learning, Memory, and Cognition, 31, 187-194. doi:10.1037/0278-7393.31.2.187
40. Kramarski, B., & Mevarech, Z. R. (2003). Enhancing mathematical reasoning in the classroom: Effects of cooperative learning and metacognitive training. American Educational Research Journal, 40, 281-310. doi:10.3102/00028312040001281
41. Kruger, J., & Dunning, D. (1999). Unskilled and unaware of it: How differences in recognizing one's own incompetence lead to inflated selfassessments. Journal of Personality and Social Psychology, 77(6), 1121-1134. doi:10.1037/00223514.77.6.1121
42. Kurt, M. (2007). Activating meta-cognition through online learning log (OLL). Paper presented at the International Educational Technology (IETC) Conference, Nicosia, Turkish Republic of Northern Cyprus.
43. Lin, X. D., & Lehman, J. (1999). Supporting learning of a computer-based biology environment: Effects of prompting college students to reflect on their own thinking. Journal of Research in Science Teaching, 36(7), 1-22. doi:10.1002/(SICI)1098-2736(199909)36:7<837::AIDTEA6>3.0.CO;2-U
44. Linden, G., Smith, B., & York, J. (2003). Amazon. com recommendations: Item-to-item collaborative filtering. Internet Computing IEEE, 7(1), 76-80. doi:10.1109/MIC.2003.1167344
45. Liu, F., & Shih, B. (2007). Learning activity-based e-learning material recommendation system. In Proceedings of the 9th IEEE International Symposium on Multimedia Workshops (pp. 343-348). Washington, DC: IEEE Computer Society.
46. Loizidou, A., & Koutselini, M. (2007). Meta-cognitive monitoring: An obstacle and a key to effective teaching and learning. Teachers and Teaching, 13, 499-519. doi:10.1080/13540600701561711
47. Lu, J. (2004). Personalized e-learning material recommender system. In Proceedings of International Conference on Information Technology for Application (pp. 374-379). Washington, DC: IEEE Computer Society.
48. Marlin, B. (2003). Modeling user rating profiles for collaborative filtering. In Thrun, S., Saul, L. K., & Schölkopf, B. (Eds.), Advances in neural information processing systems (pp. 627-634). Cambridge, MA: MIT Press.
49. McManus, M., & Aiken, R. (1995). Monitoring computer-based problem solving. Journal of Artificial Intelligence in Education, 6(4), 307-336.
50. Melville, P., Mooney, R., & Nagarajan, R. (2002). Content-boosted collaborative filtering for improved recommendations. In Proceedings of the 18th National Conference on Artificial Intelligence (pp. 187-192). Menlo Park, CA: AAAI Press.
51. Nietfeld, J. L., & Schraw, G. (2002). The effect of knowledge and strategy explanation on monitoring accuracy. The Journal of Educational Research, 95, 131-142. doi:10.1080/00220670209596583
52. Perera, D., Kay, J., Yacef, K., & Koprinska, I. (2007). Mining learners' traces from an online collaboration tool. Workshop Educational Data Mining, Proceedings of the 13th International Conference of Artificial Intelligence in Education (pp. 60-69). Marina del Rey, CA: IOS Press.
53. Ristad, E., & Yianilos, P. (1997). Learning string edit distance. In Proceedings of the Fourteenth International Conference on Machine Learning (pp. 287-295). San Francisco, CA: Morgan Kaufmann Publishers.
54. Roll, I., Aleven, V., McLaren, B. M., & Koedinger, K. (2007). Designing for metacognition - Applying cognitive tutor principles to the tutoring of help seeking. Metacognition and Learning, 2, 125-140. doi:10.1007/s11409-007-9010-0
55. Romero, C. M., Porras, P. A. R., Ventura, S. S., Hervás, M. C., & Zafra, G. A. (2006). Using sequential pattern mining for links recommendation in adaptive hypermedia educational systems. Current Developments in Technology-Assisted Education, 2, 1016-1020.
56. Romero, C. M., & Ventura, S. S. (2007). Educational data mining: A survey from 1995 to 2005. Expert Systems with Applications, 33, 135-146. doi:10.1016/j.eswa.2006.04.005
57. Romero, C. M., Ventura, S. S., Zafra, G. A., & de Bra, P. (2009). Applying web usage mining for personalizing hyperlinks in web-based adaptive educational systems. Computers & Education, 53, 828-840. doi:10.1016/j.compedu.2009.05.003
58. Rosset, S., Neumann, E., Eick, U., Vatnik, N., & Idan, Y. (2002). Customer lifetime value modeling and its use for customer retention planning. In Proceedings of the 8th CM SIGKDD International Conference of Knowledge Discovery and Data Mining (pp. 332-340). New York, NY: Association for Computing Machinery.
59. Sansone, C., & Thoman, D. (2005). Interest as the missing motivator in self-regulation. European Psychologist, 10, 175-186. doi:10.1027/1016-9040.10.3.175
60. Santos, S. G., Pardo, A., & Kloos, C. D. (2006). Some ideas for a collaborative search of the optimal learning path. Lecture Notes in Computer Science, 4018, 430-434. doi:10.1007/11768012_64
61. Schoenfeld, A. H. (1987). What's all the fuss about metacognition? In Schoenfeld, A. H. (Ed.), Cognitive science and mathematics education. Hillsdale, NJ: Lawrence Erlbaum Associates.
62. Schraw, G., & Dennison, R. S. (1994). Assessing metacognitive awareness. Contemporary Educational Psychology, 19, 460-475. doi:10.1006/ceps.1994.1033
63. Schraw, G., & Moshman, D. (1995). Metacognitive theories. Educational Psychology Review, 7, 351-371. doi:10.1007/BF02212307
64. Schunk, D. H., & Zimmerman, B. J. (2006). Competence and control beliefs: Distinguishing the means and ends. In Alexander, P. A., & Winne, P. H. (Eds.), Handbook of educational psychology (2nd ed., pp. 349-367). Mahwah, NJ: Erlbaum.
65. Soller, A., Martínez-Monés, A., Jermann, P., & Muehlenbrock, M. (2005). From mirroring to guiding: A review of state of the art technology for supporting collaborative learning. International Journal of Artificial Intelligence in Education, 15(4), 261-290.
66. Soonthornphisaj, N., Rojsattarat, E., & Yim-ngam, S. (2006). Smart e-learning using recommender system. Computational Intelligence, 4114, 518-523. doi:10.1007/978-3-540-37275-2_63
67. Stevick, E. W. (1989). Success with foreign languages: Seven who achieved it and what worked for them. London, UK: Prentice Hall.
68. Tai, D. W., Wu, H., & Li, P. (2008). Effective e-learning recommendation system based on self-organizing maps and association mining. The Electronic Library, 26, 329-344. doi:10.1108/02640470810879482
69. Tang, T., & McCalla, G. (2005). Smart recommendation for an evolving e-learning system. International Journal on E-Learning, 4, 105-129.
70. Thiede, K. W., Anderson, M. C., & Therriault, D. (2003). Accuracy of metacognitive monitoring affects learning of texts. Journal of Educational Psychology, 95, 66-73. doi:10.1037/0022-0663.95.1.66
71. van den Berg, B., van Es, R., Tattersall, C., Janssen, J., Manderveld, J., & Brouns, F.... Koper, R. (2005). Swarm-based sequencing recommendations in e-learning. In Proceedings of the Fifth International Conference on Intelligent Systems Design and Applications, (pp. 488-493). Washington, DC: IEEE Computer Society.
72. Wagster, J., Tan, J., Biswas, G., & Schwartz, D. (2007). How metacognitive feedback affects behavior in learning and transfer. Paper presented at 13th International Conference on Artificial Intelligence in Education. Los Angeles, CA.
73. White, B., & Frederiksen, J. (2005). A theoretical framework and approach for fostering metacognitive development. Educational Psychologist, 40(4), 211-223. doi:10.1207/s15326985ep4004_3
74. Winne, P., & Hadwin, A. (2008). The weave of motivation and self-regulated learning. In Schunk, D., & Zimmerman, B. (Eds.), Motivation and self-regulated learning: Theory, research, and applications (pp. 297-314). New York, NY: Taylor and Francis.
75. Wolters, C. (2003). Regulation of motivation: Evaluating an underemphasized aspect of self- regulated learning. Educational Psychologist, 38, 189-205. doi:10.1207/S15326985EP3804_1
76. Zaïane, O. R. (2002). Building a recommender agent for e-learning systems. In Proceedings of the International Conference on Computers in Education (pp. 55-59). Washington, DC: IEEE Computer Society.
77. Zhou, M., & Winne, P. H. (2009). Designing multimedia to trace goal-setting in studying. In Zheng, R. (Ed.), Cognitive effects of multimedia learning (pp. 288-311). Hershey, PA: IGI Global.
78. Zins, J. E., Weissberg, R. P., Wang, M. C., & Walberg, H. J. (Eds.). (2004). Building academic success on social and emotional learning: What does the research say?New York, NY: Teachers College Press.