Abstract
When developing an Adaptive Learning System (ALS), users are generally consulted (if at all) towards the end of the development cycle. This can limit users’ feedback to the characteristics and idiosyncrasies of the system at hand. It can be difficult to extrapolate principles and requirements, common to all ALSs, that are rated highly by users. To address this problem, we have elicited requirements from learners and teachers across several European academic institutions through explorative, semi-structured interviews [1]. The goal was to provide a methodology and an appropriate set of questions for conducting such interviews and to capture the essential requirements for the early iterations of an ALS design. In this paper we describe the methodology we employed while preparing, conducting, and analyzing the interviews and we present our findings along with objective and subjective analysis.
This work was performed within the EU FP7 GRAPPLE (Generic Responsive Adaptive Personalized Learning Environment) Project.
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References
Goguen, J., Linde, C.: Techniques for Requirements Elicitation. In: Proceedings of IEEE International Symposium on Requirements Engineering (RE 1993), pp. 152–164 (1993)
Frosch-Wilke, D., Sanchez-Alonso, S.: Composing Adaptive Learning Systems. In: Proceedings of the 6th IEEE International Conference on Advanced Learning Technologies (ICALT 2006), pp. 360–362. IEEE Computer Society, Los Alamitos (2006)
Tseng, J., Chu, H., Hwang, G., Tsai, C.: Development of an Adaptive Learning System with Two Sources of Personalization Information. Computers and Education 51(2), 776–786 (2008)
Ortigosa, A., Carro, R.: The Continuous Empirical Evaluation Approach: Evaluating Adaptive Web-Based Courses. In: Brusilovsky, P., Corbett, A.T., de Rosis, F. (eds.) UM 2003. LNCS, vol. 2702, p. 146. Springer, Heidelberg (2003)
Paramythis, A., Weibelzahl, S.: A Decomposition Model for the Layered Evaluation of Interactive Adaptive Systems. In: Ardissono, L., Brna, P., Mitrović, A. (eds.) UM 2005. LNCS, vol. 3538, pp. 438–442. Springer, Heidelberg (2005)
Hauger, D., Köck, M.: State of the Art of Adaptivity in E-Learning Platforms. In: Workshop Adaptivität und Benutzermodellierung in interactiven Systemen, ABIS 2007 (2007)
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Harrigan, M., Kravčík, M., Steiner, C., Wade, V. (2009). What Do Academic Users Really Want from an Adaptive Learning System?. In: Houben, GJ., McCalla, G., Pianesi, F., Zancanaro, M. (eds) User Modeling, Adaptation, and Personalization. UMAP 2009. Lecture Notes in Computer Science, vol 5535. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02247-0_52
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DOI: https://doi.org/10.1007/978-3-642-02247-0_52
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