Abstract
The digital backchannel Backstage aims at supporting active and socially enriched participation in large class lectures by improving the social awareness of both lecturer and students. For this purpose, Backstage provides microblog-based communication for fast information exchange among students as well as from audience to lecturer. Rating enables students to assess relevance of backchannel messages for the lecture. Upon rating a ranking of messages can be determined and immediately presented to the lecturer. However, relevance is of temporal nature. Thus, the relevance of a message should degrade over time, a process called aging. Several aging approaches can be found in the literature. Many of them, however, rely on the physical time which only plays a minor role in assessing relevance in lecture settings. Rather, the actuality of relevance should depend on the progress of a lecture and on backchannel activity. Besides, many approaches are quite difficult in terms of comprehensibility, interpretation and handling. In this article we propose an approach to aging that is easy to understand and to handle and therefore more appropriate in the setting considered.
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References
van de Grift, T., Wolfman, S.A., Yasuhara, K., Anderson, R.J.: Promoting Interaction in Large Classes with a Computer-Mediated Feedback System. In: Proceedings of the International Conference CSCL, pp. 119–123 (2003)
Schworm, S., Fischer, F.: Academic Help Seeking. In: Handbuch Lernstrategien [Handbook of Learning Strategies], pp. 282–293 (2006) (in German)
Ebner, M., Schiefner, M.: Microblogging – More than Fun? In: Immaculada Arnedillo, S., Isaias, P. (eds.) Proceeding of IADIS Mobile Learning Conference 2008, pp. 155–159 (2008)
Ebner, M.: Introducing Live Microblogging: how Single Presentations can be Enhanced by the Mass. Journal of Research in Innovative Teaching 2(1), 108–111 (2009)
Holotescu, C., Grosseck, G.: Using Microblogging to Deliver Online Courses. Case-Study: Cirip.ro. Procedia - Social and Behavioral Sciences 1(1), 495–501 (2009); World Conference on Educational Sciences. New Trends and Issues in Educational Sciences, Nicosia, North Cyprus (February 4-7, 2009)
Bry, F., Gehlen-Baum, V., Pohl, A.: Promoting Awareness and Participation in Large Class Lectures: The Digital Backchannel Backstage. In: Proceedings of the IADIS International Conference e-society, Spain, Avila, pp. 27–34 (March 2011)
Pohl, A., Gehlen-Baum, V., Bry, F.: Introducing Backstage – A Digital Backchannel for Large Class Lectures. Interactive Techology and Smart Education 8(4), 186–200 (2011)
Baumgart, D., Pohl, A., Gehlen-Baum, V., Bry, F.: Providing Guidance on Backstage, a Novel Digital Backchannel for Large Class Teaching. In: Education in a Technological World: Communicating Current and Emerging Research and Technological Efforts, Formatex, Spain, pp. 364–371 (2012)
King, A.: Scripting Collaborative Learning Processes: A Cognitive Perspective. In: Fischer, F., Kollar, I., Mandl, H., Haake, J.M. (eds.) Scripting Computer-Supported Collaborative Learning, pp. 13–37. Springer US, Boston (2007)
Suthers, D., Xu, J.: Kükäkükä: An Online Environment for Artifact-Centered Discourse. In: Proceedings of the 11th World Wide Web Conference (2002)
Golub, E.: On Audience Activities During Presentations. Journal of Computing Sciences in Colleges 20(3), 38–46 (2005)
Kay, R.H., LeSage, A.: Examining the Benefits and Challenges of using Audience Response Systems: A Review of the Literature. Computers & Education 53(3), 819–827 (2009)
Bian, J., Liu, Y., Agichtein, E., Zha, H.: Finding the Right Facts in the Crowd: Factoid Question Answering over Social Media. In: Proceedings of the 17th International Conference on World Wide Web, WWW 2008, pp. 467–476. ACM, New York (2008)
Marmolowski, M.: Real-Life Rating Algorithm. Technical Report, DERI (2008)
Das Sarma, A., Das Sarma, A., Gollapudi, S., Panigrahy, R.: Ranking Mechanisms in Twitter-Like Forums. In: Proceedings of the 3rd ACM International Conference on Web Search and Data Mining, WSDM 2010, pp. 21–30. ACM, New York (2010)
Lerman, K.: Dynamics of a Collaborative Rating System. In: Zhang, H., Spiliopoulou, M., Mobasher, B., Giles, C.L., McCallum, A., Nasraoui, O., Srivastava, J., Yen, J. (eds.) WebKDD 2007. LNCS, vol. 5439, pp. 77–96. Springer, Heidelberg (2009)
Nichols, D.M.: Implicit Rating and Filtering. In: Proceedings of the 5th DELOS Workshop on Filtering and Collaborative Filtering, pp. 31–36 (1998)
Agichtein, E., Castillo, C., Donato, D., Gionis, A., Mishne, G.: Finding High-Quality Content in Social Media. In: Proceedings of the International Conference on Web Search and Web Data Mining, WSDM 2008, pp. 183–194. ACM, New York (2008)
Bian, J., Liu, Y., Agichtein, E., Zha, H.: A Few Bad Votes too Many? Towards Robust Ranking in Social Media. In: Proceedings of the 4th International Workshop on Adversarial Information Retrieval on the Web, AIRWeb 2008, pp. 53–60. ACM, New York (2008)
Harry, D., Gutierrez, D., Green, J., Donath, J.: Backchan.nl: Integrating Backchannels with Physical Space. In: Extended Abstracts on Human Factors in Computing Systems, CHI 2008, pp. 2751–2756. ACM, New York (2008)
Kamvar, S.D., Schlosser, M.T., Garcia-Molina, H.: The Eigentrust Algorithm for Reputation Management in P2P Networks. In: Proceedings of the 12th International Conference on World Wide Web, WWW 2003, pp. 640–651. ACM, New York (2003)
Zhang, J., Ackerman, M.S., Adamic, L.: Expertise Networks in Online Communities: Structure and Algorithms. In: Proceedings of the 16th International Conference on World Wide Web, WWW 2007, pp. 221–230. ACM, New York (2007)
Al-Sharrah, G.: Ranking Using the Copeland Score: A Comparison with the Hasse Diagram. Journal of Chemical Information and Modeling 50(5), 785–791 (2010)
Nagmoti, R., Teredesai, A., De Cock, M.: Ranking Approaches for Microblog Search. In: Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, WI-IAT 2010, pp. 153–157. IEEE Computer Society, Washington, DC (2010)
Ding, Y., Li, X.: Time Weight Collaborative Filtering. In: Proceedings of the 14th ACM International Conference on Information and Knowledge Management, CIKM 2005, pp. 485–492. ACM, New York (2005)
Huo, W., Tsotras, V.J.: Temporal Top-k Search in Social Tagging Sites Using Multiple Social Networks. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds.) DASFAA 2010, Part I. LNCS, vol. 5981, pp. 498–504. Springer, Heidelberg (2010)
Garcin, F., Faltings, B., Jurca, R.: Aggregating Reputation Feedback. In: Proceedings of the First International Conference on Reputation: Theory and Technology, Gargonza, Italy, vol. 1, pp. 62–67 (2009)
Ebner, M.: Is Twitter a Tool for Mass-Education? In: Proccedings of the 4th International Conference on Student Mobility and ICT, Vienna (2011)
Sprenger, T.: TweetTrader.net: Leveraging Crowd Wisdom in a Stock Microblogging Forum. In: Proceedings of the 5th International Conference of Weblogs and Social Media, Barcelona, Spain (2011)
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Hadersberger, J., Pohl, A., Bry, F. (2012). Discerning Actuality in Backstage. In: Ravenscroft, A., Lindstaedt, S., Kloos, C.D., Hernández-Leo, D. (eds) 21st Century Learning for 21st Century Skills. EC-TEL 2012. Lecture Notes in Computer Science, vol 7563. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33263-0_11
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