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216 J Buder, C Schwind/ Computers in Human Behavior 28(2012)207-216 Conference on Computer Suppor ive Work (pp 241-250). New York, Rafaeli, S, Barak, M, Dan-Gur, Y.& Toch, E.(2004). QSIA-A Web-based NY: ACM Press. doi: 10. 1145/35 for learning assessin Herlocker, J. L, Konstan, J. A Terveen, L G,& RiedL, J. T.(2004). Evaluating ollaborative filtering recommender systems. ACM Transactions on Information Rashid, A. M, Ling. K Tassone, R. D Resnick, P, Kraut, R,& Riedl, J(2006). Hsu, M-H(200S) Proposing an ESL recommender teaching and learning odden, P. Aoki, E. Cutrell, R. Jeffries, &G. Olson(Eds ) Proceedings of the ACM ms with Applications, 34 on Human Factors in Computing Systems(pp. 955-958)New onas, E, Schulz-Hardt, S, Frey, D.& Thelen, N. (2001) Confirmation bias in Recker, M. M, walker. ss,K(2003). What do you recommend rces for education. Instructional Science, 31, 299-316. doi: 10. 1023/ Social Psychology, 80, 557-571 3514804.557. Karau, S.J& williams, K D (1993). Social loafing: A meta-analytic review tion phenomena. European Review of Social Psychology, 6, 161-198. heoretical integration. Journal of personality and Social Psychology, 65, 681-706 Resnick, P. Varian, H.R.(1997). Recommender systems. Communications of the other way: Selective ACM,40(3),56-58.doi:10.1145|24510824512 litical information. Sarwar, B M, Karypis, G, Konstan, J.A. Riedl ].(2001) Item-based collaborative L. Fischer. F nalysis Educational Psychology Review, 18, 159-185. doi: 10.1007 /s10648-006- (pp. 285-296) New York, NY: ACM Press. doi: 10.1 Scardamalia, M. (2002) Collective cognitive respo for the ad Konstan, J. A, & RiedL ]. (2003). Collaborative filtering: Supporting soc mith(Ed), Liberal education in a knowledge societ large, crowded infospaces. In K. Hook, D pp. 67-98) Chica esigning in formation spaces: The social navigation approach(pp 43-82) Lond Schafer, JB, Konstan, J,& Riedl, J(1999). Recommender systems in Kramer, T.(2007). The effect of measurement task transparency on preference Proceedings of the First ACM ce on Electronic Commerce(pp. 158-166). New York, NY: ACM Press. do urnal of Schein, AL, Popescul, A, Ungar, LH& Pennock, D M. (2002). Methods and m ext-aware learning object recommendation. journal of op 253-260) New York, NY: ACM Press. Interactive Technology and Smart 179-188.doi:10.1108 doi:10.1145/564376.564421 Schwind, C. Buder, , Hesse. FW.(2011a). I will do it, but Ling. K Beenen, G, Ludford, P]- X, Chang, K,Li, Kx et al. (2005). Using Com Linton, F,& Schaefer, H.-P.(2000). Recommender systems for learning: Building Schwind. er, J.&4.42. 197899> ms(pp 349-352) New York, NY: ACM 08.doi:10.1023 he Ninth Ludford, P.J- Cosley, D, Frankowski, D,& Terveen, L(2004). Think different 2, 374-381). Hong Kong, China: In k, NY: ACM Press. doi: 10. 1145/98 Spiro, R,& Jehng J. C.(1990). Cognitive flexibility and hypertext: Theory and Malone, T w, Laubacher, R,& Dellarocas, C (2009). Harnessing crowds: Map collective intelligence (Report No. 4732-09). Cambridge, MA: Mr Sloan School of Managemen high technology (pp. 163-205). Hillsdale, NJ: Erlbaum. Manouselis, N, Drachsler, H, Vuorikan, R, HummeL, H G K,& Koper, R (2011) Stahl, G.(2006). Gr upport for building collaborative B& P. B. Kantor(dy6 mmended learning. In上k Stano (pp. 387-415) New York, NY ng. Journal of educati J(1969).The nature of attitudes and attitude change. In G Lindzey &E. Swearingen, K,&542-357 doi: 10.103710022-0663.89.2.342. Aronson(Eds ) The handbook of social psychology (vol 3. pp. 163-314) Reading, Tajfel, H, Turner, -C(1986). The identity theory of intergroup behavior. In ago Nelson hal Austin(Eds Psychology of intergroup relations(pp. 7-24). A Corbett(Eds ) Proceedings of the Ninth Intermational Conference on User Tang. TY,& McCalla, G (2005) Smart recommendation for an evolving e-learning Modeling (pp. 178-188) Berlin, Germany: Springer. doi: 10.1007 / 3-540- 44963-9-24 McNee, S M Riedl, ],& Konstan, J. A(2006). Making re ons better: An Vygotsky, L S.(1978). Mind in society: The development of higher psychological alytic model for human-l Wang P. Y (2007). The analysis and design of educational r oki, E Cuttrell, R. Jeffries, &G. Olson(Eds ) Proceedi he ACM CHI R. Carlsen, K McFerrin, J. Price, R. Weber, D. A. willis(Eds. Proceedings of Mayer, R.E.(1986) The teaching of learning strategies. In M. oper, R(2009). Simulating Wittrock(Ed ) Handbook of research on teaching(pp. 315-327) New York, NY: in learning networks: A case recommendation strategies. of Artificial Societies and Social Simulation, Xiao, B, Benbasat, I (2007) E-commerce product recommendation agents: Use. Nass, C, Moon, Y. Morkes, J- Kim, E.-Y& Fogg, B.J. (1997). Computers are social In values and the Yoo Gretzel, U.(2011). more credible a esign of computer technology(pp. 137-162) Stanford, CA: CSLI Press chara Norman, D A(1993). Things that make us smart: Defending human attributes in the age of the machine. Boston, MA: Addison-Wesley book: A complete guide for research r.doi:10.1 chension-monitoring activities. Cognition and Instruction, 1 978-0-3 207/s153269 Ziegler, C, McNee, S. M, Konstan, G. A,& Lausen, G.(2005). Improving E,& Cacioppo, T (1986). The elaboration likelihood model of perst n L Berkowitz (Ed Advances in experimental social psychology(VoL. 19. ds ) Proceedings of the 14th Intemational pp. 123-205) New York, NY: Academic Press New York, NY: ACM Press. doi: 10. 1145/1060745 10607Conference on Computer Supported Cooperative Work (pp. 241–250). New York, NY: ACM Press. doi:10.1145/358916.358995. Herlocker, J. L., Konstan, J. A., Terveen, L. G., & Riedl, J. T. (2004). Evaluating collaborative filtering recommender systems. ACM Transactions on Information Systems, 22, 5–53. Hsu, M.-H. (2008). Proposing an ESL recommender teaching and learning system. Expert Systems with Applications, 34, 2102–2110. doi:10.1016/ j.eswa.2007.02.041. Jonas, E., Schulz-Hardt, S., Frey, D., & Thelen, N. (2001). Confirmation bias in sequential information search after preliminary decisions: An expansion of dissonance theoretical research on selective exposure to information. Journal of Personality and Social Psychology, 80, 557–571. doi:10.1037/0022- 3514.80.4.557. Karau, S. J., & Williams, K. D. (1993). Social loafing: A meta-analytic review and theoretical integration. Journal of Personality and Social Psychology, 65, 681–706. doi:10.1037/0022-3514.65.4.681. Knobloch-Westerwick, S., & Meng, J. (2009). Looking the other way: Selective exposure to attitude-consistent and counterattitudinal political information. Communication Research, 36, 426–448. doi:10.1177/0093650209333030. Kollar, I., Fischer, F., & Hesse, F. W. (2006). Collaboration scripts – A conceptual analysis. Educational Psychology Review, 18, 159–185. doi:10.1007/s10648-006- 9007-2. Konstan, J. A., & Riedl, J. (2003). Collaborative filtering: Supporting social navigation in large, crowded infospaces. In K. Höök, D. Benyon, & A. J. Munro (Eds.), Designing information spaces: The social navigation approach (pp. 43–82). London, England: Springer. Kramer, T. (2007). The effect of measurement task transparency on preference construction and evaluations of personalized recommendations. Journal of Marketing Research, 44, 224–233. doi:10.1509/jmkr.44.2.224. Lemire, D., Boley, H., McGrath, S., & Ball, M. (2005). Collaborative filtering and inference rules for context-aware learning object recommendation. Journal of Interactive Technology and Smart Education, 2, 179–188. doi:10.1108/ 17415650580000043. Ling, K., Beenen, G., Ludford, P. J., Wang, X., Chang, K., Li, K. X., et al. (2005). Using social psychology to motivate contributions to online communities. Journal of Computer-Mediated Communication, 10. Linton, F., & Schaefer, H.-P. (2000). Recommender systems for learning: Building user and expert models through long-term observation of application use. User Modeling and User-Adapted Interaction, 10, 181–208. doi:10.1023/ A:1026521931194. Ludford, P. J., Cosley, D., Frankowski, D., & Terveen, L. (2004). Think different: Increasing online community participation using uniqueness and group dissimilarity. In E. Dykstra-Erickson & M. Tscheligi (Eds.), Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (pp. 631–638). New York, NY: ACM Press. doi:10.1145/985692.985772. Malone, T. W., Laubacher, R., & Dellarocas, C. (2009). Harnessing crowds: Mapping the genome of collective intelligence (Report No. 4732-09). Cambridge, MA: MIT Sloan School of Management. Manouselis, N., Drachsler, H., Vuorikari, R., Hummel, H. G. K., & Koper, R. (2011). Recommender systems in technology enhanced learning. In F. Ricci, L. Rokach, B. Shapira, & P. B. Kantor (Eds.), Recommender systems handbook: A complete guide for research scientists and practitioners (pp. 387–415). New York, NY: Springer. doi:10.1007/978-0-387-85820-3_12. McGuire, W. J. (1969). The nature of attitudes and attitude change. In G. Lindzey & E. Aronson (Eds.). The handbook of social psychology (Vol. 3, pp. 163–314). Reading, MA: Addison-Wesley. McNee, S. M., Lam, S. K., Konstan, J. A., & Riedl, J. (2003). Interfaces for eliciting new user preferences in recommender systems. In P. Brusilovsky, F. de Rosis, & A. Corbett (Eds.), Proceedings of the Ninth International Conference on User Modeling (pp. 178–188). Berlin, Germany: Springer. doi:10.1007/3-540- 44963-9-24. McNee, S. M., Riedl, J., & Konstan, J. A. (2006). Making recommendations better: An analytic model for human-recommender interaction. In R. Grinter, T. Rodden, P. Aoki, E. Cuttrell, R. Jeffries, & G. Olson (Eds.), Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (pp. 1103–1108). New York, NY: ACM Press. doi:10.1145/1125451.1125660. Nadolski, R. J., van den Berg, B., Berlanga, A. J., Drachsler, H., Hummel, H. G. K., & Koper, R. (2009). Simulating light-weight personalised recommender systems in learning networks: A case for pedagogy-oriented and rating-based hybrid recommendation strategies. Journal of Artificial Societies and Social Simulation, 12. Nass, C., Moon, Y., Morkes, J., Kim, E.-Y., & Fogg, B. J. (1997). Computers are social actors: A review of current research. In B. Friedman (Ed.), Human values and the design of computer technology (pp. 137–162). Stanford, CA: CSLI Press. Norman, D. A. (1993). Things that make us smart: Defending human attributes in the age of the machine. Boston, MA: Addison-Wesley. Palincsar, A. S., & Brown, A. L. (1984). Reciprocal teaching of comprehension￾fostering and comprehension-monitoring activities. Cognition and Instruction, 1, 117–175. doi:10.1207/s1532690xci0102_1. Petty, R. E., & Cacioppo, J. T. (1986). The elaboration likelihood model of persuasion. In L. Berkowitz (Ed.). Advances in experimental social psychology (Vol. 19, pp. 123–205). New York, NY: Academic Press. Rafaeli, S., Barak, M., Dan-Gur, Y., & Toch, E. (2004). QSIA – A Web-based environment for learning assessing and knowledge sharing in communities. Computers & Education, 43, 273–289. doi:10.1016/j.compedu.2003.10.008. Rashid, A. M., Ling, K., Tassone, R. D., Resnick, P., Kraut, R., & Riedl, J. (2006). Motivating participation by displaying the value of contribution. In R. Grinter, T. Rodden, P. Aoki, E. Cutrell, R. Jeffries, & G. Olson (Eds.), Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (pp. 955–958). New York, NY: ACM Press. doi:10.1145/1124772.1124915. Recker, M. M., Walker, A., & Lawless, K. (2003). What do you recommend? Implementation and analyses of collaborative information filtering of web resources for education. Instructional Science, 31, 299–316. doi:10.1023/ A:1024686010318. Reicher, S., Spears, R., & Postmes, T. (1995). A social identity model of deindividuation phenomena. European Review of Social Psychology, 6, 161–198. doi:10.1080/14792779443000049. Resnick, P., & Varian, H. R. (1997). Recommender systems. Communications of the ACM, 40(3), 56–58. doi:10.1145/245108.245121. Sarwar, B. M., Karypis, G., Konstan, J. A., & Riedl, J. (2001). Item-based collaborative filtering recommendation algorithms. In V. Y. Shen, N. Saito, M. R. Lyu, & M. E. Zurko (Eds.), Proceedings of the 10th International Conference on World Wide Web (pp. 285–296). New York, NY: ACM Press. doi:10.1145/371920.372071. Scardamalia, M. (2002). Collective cognitive responsibility for the advancement of knowledge. In B. Smith (Ed.), Liberal education in a knowledge society (pp. 67–98). Chicago, IL: Open Court. Schafer, J.B., Konstan, J., & Riedl, J. (1999). Recommender systems in e-commerce. Proceedings of the First ACM conference on Electronic Commerce (pp. 158–166). New York, NY: ACM Press. doi:10.1145/336992.337035. Schein, A.I., Popescul, A., Ungar, L.H., & Pennock, D.M. (2002). Methods and metrics for cold-start recommendations. In K. Järvelin, M. Beaulieu, R. Baeza-Yates, & S. Hyon-Myaeng (Eds.), Proceedings of the 25nd ACM IR Conference on Research and Development in Information Retrieval (pp. 253–260). New York, NY: ACM Press. doi:10.1145/564376.564421. Schwind, C., Buder, J., & Hesse, F.W. (2011a). I will do it, but I don’t like it: User reactions to preference-inconsistent recommendations. In D. Tan, S. Amershi, B. Begole,W. A. Kellog, & M. Tungare (Eds.), Proceedings of the ACM CHI Conference on Human Factors in Computing Systems (pp. 349–352). New York, NY: ACM Press. doi:10.1145/1978942.1978992. Schwind, C., Buder, J., & Hesse, F. W. (2011b). Fostering social navigation and elaboration of controversial topics with preference-inconsistent recommen￾dations. In H. Spada, G. Stahl, N. Miyake, & N. Law (Eds.), Proceedings of the Ninth International Conference on Computer-Supported Collaborative Learning (Vol. 2, pp. 374–381). Hong Kong, China: International Society of the Learning Sciences. Simon, H. (1959). Theories of decision making in economics and behavioural science. American Economic Review, 49, 253–283. Spiro, R. J., & Jehng, J. C. (1990). Cognitive flexibility and hypertext: Theory and technology for the nonlinear and multidimensional traversal of complex subject matter. In D. Nix & R. Spiro (Eds.), Cognition, education, and multimedia: Exploring ideas in high technology (pp. 163–205). Hillsdale, NJ: Erlbaum. Stahl, G. (2006). Group cognition: Computer support for building collaborative knowledge. Cambridge, MA: MIT Press. doi:10.1080/10447310802209414. Stanovich, K. E., & West, R. F. (1997). Reasoning independently of prior belief and individual differences in actively open-minded thinking. Journal of Educational Psychology, 89, 342–357. doi:10.1037/0022-0663.89.2.342. Swearingen, K., & Sinha, R. (2002). Interaction design for recommender systems. Proceedings of the Conference on Designing Interactive Systems. Tajfel, H., & Turner, J. C. (1986). The social identity theory of intergroup behavior. In S. Worchel & W. G. Austin (Eds.), Psychology of intergroup relations (pp. 7–24). Chicago, IL: Nelson Hall. Tang, T. Y., & McCalla, G. (2005). Smart recommendation for an evolving e-learning system. International Journal on e-Learning, 4, 105–129. Vygotsky, L. S. (1978). Mind in society: The development of higher psychological processes. Cambridge, MA: Harvard University Press. Wang, P. Y. (2007). The analysis and design of educational recommender systems. In R. Carlsen, K. McFerrin, J. Price, R. Weber, & D. A. Willis (Eds.), Proceedings of Conference of Society for Information and Technology and Teacher Education (pp. 2134-2140). Chesapeake, VA: AACE. Weinstein, C. E., & Mayer, R. E. (1986). The teaching of learning strategies. In M. Wittrock (Ed.), Handbook of research on teaching (pp. 315–327). New York, NY: Macmillan. Xiao, B., & Benbasat, I. (2007). E-commerce product recommendation agents: Use, characteristics, and impact. Management Information Systems Quarterly, 31, 137–209. Yoo, K.-H., & Gretzel, U. (2011). Creating more credible and persuasive recommender systems: The influence of source characteristics on recommender systems evaluations. In F. Ricci, L. Rokach, B. Shapira, & P. B. Kantor (Eds.), Recommender systems handbook: A complete guide for research scientists and practitioners (pp. 455–477). New York, NY: Springer. doi:10.1007/ 978-0-387-85820-3. Ziegler, C., McNee, S. M., Konstan, G. A., & Lausen, G. (2005). Improving recommendation lists through topic diversification. In A. Ellis & T. Hagino (Eds.), Proceedings of the 14th International World Wide Web Conference (pp. 22- 32). New York, NY: ACM Press. doi:10.1145/1060745.1060754. 216 J. Buder, C. Schwind / Computers in Human Behavior 28 (2012) 207–216
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