Abstract
Current e-learning environments rely on adaptive user-centered approaches rather than static learning material, that is presented to the learner in a linear way, to maintain motivation and prevent learning blocks. The goal of the research project “SensoMot - Sensor Measures of Motivation for Adaptive Learning” is to detect critical motivational incidents based on sensor data and self-reports. By deriving suitable adaptation mechanisms, the learning process should be controlled to match the learner’s motivation. Learning blocks should be detected at an early stage by means of unobtrusive, non-reactive sensors and the learning contents should be adapted accordingly. The focus of the present study is especially on the adaptation in e-learning for supporting motivation in the context of engineering science.
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References
Krömker, H., Hoffmann, M., Huntemann, N.: Anwendungsorientierte Fachlandkarten: Fallbeispiel Nanotechnologie. In: 10. Ingenieurpädagogische Regionaltagung 2015 - Anwendungsorientierung und Wissenschaftsorientierung in der Ingenieurbildung, Eindhoven, Niederlande, 5 November 2015
Niegemann, H.M., Domagk, S., Hessel, S., Hein, A., Hupfer, M., Zobel, A.: Kompendium Multimediales Lernen. X.media.press. Springer, Berlin (2008)
Rheinberg, F., Vollmeyer, R., Rollett, W.: Motivation and action in self-regulated learning. In: Boekaerts, M., Pintrich, P.R., Zeidner, M. (eds.) Handbook of Selfregulation, pp. 503–529. Academic Press, London (2000)
Bandura, A.: Self-efficacy. Toward a unifying theory of behavioral change. Psychol. Rev. 84(2), 191–215 (1977)
Krapp, A., Hidi, S., Renninger, K.A.: Interest, learning and development. In: Renninger, K.A., Hidi, S., Krapp, A. (eds.) Role of interest in learning and development, pp. 3–25 (1992)
Rheinberg, F., Vollmeyer, R.: Motivation, 8th edn., vol. 555. Urban-Taschenbücher. Kohlhammer, Stuttgart (2012)
Brophy, J.E.: Motivating Students to Learn, 3rd edn. Routledge, New York (2010)
Hartnett, M.: Motivation in Online Education. Springer, New York (2016)
Krömker, H., Hoffmann, M., Huntemann, N.: Wissensstrukturierung für das Lernen in den Ingenieurwissenschaften. In: Kammasch, G., Klaffke, H., Knutzen, S. (eds.) Technische Bildung im Spannungsfeld zwischen beruflicher und akademischer Bildung. Die Vielfalt der Wege zu technischer Bildung: Referate der 11. Ingenieurpädagogischen Regionaltagung 2016 an der Technischen Universität Hamburg, pp. 101–108. IPW, Berlin (2017)
Leutner, D.: Adaptivität und Adaptierbarkeit multimedialer Lehr- und Informationssysteme. In: Issing, L.J., Klimsa, P. (eds.) Information und Lernen mit Multimedia und Internet. Lehrbuch für Studium und Praxis, 3rd edn., pp. 115–126. Beltz, Weinheim (2005)
Brusilovsky, P.: Adaptive hypermedia. From intelligent tutoring systems to web-based education. In: Goos, G., Hartmanis, J., van Leeuwen, J., Gauthier, G., Frasson, C., VanLehn, K. (eds.) Intelligent Tutoring Systems. LNCS, vol. 1839, pp. 1–7. Springer, Heidelberg (2000)
Knutov, E., de Bra, P., Pechenizkiy, M.: AH 12 years later. A comprehensive survey of adaptive hypermedia methods and techniques. New Rev. Hypermedia Multimed. (2009). https://doi.org/10.1080/13614560902801608
Brusilovsky, P.: Methods and techniques of adaptive hypermedia. In: Brusilovsky, P., Kobsa, A., Vassileva, J. (eds.) Adaptive Hypertext and Hypermedia, pp. 1–43. Springer, Dordrecht (1998)
Paramythis, A., Weibelzahl, S., Masthoff, J.: Layered evaluation of interactive adaptive systems. Framework and formative methods. User Model User Adap. Interact. 20(5), 383–453 (2010)
Brusilovsky, P., Karagiannidis, C., Sampson, D.: The benefits of layered evaluation of adaptive applications and services. In: Bauer, M., Gmytrasiewicz, P.J., Vassileva, J. (eds.) User Modeling 2001. 8th International Conference, UM 2001 Sonthofen, Germany, 13–17 July 2001 Proceedings. LNCS, vol. 2109, pp. 1–8. Springer, Heidelberg (2001)
Domagk, S.: Pädagogische Agenten in multimedialen Lernumgebungen. Empirische Studien zum Einfluss der Sympathie auf Motivation und Lernerfolg. Zugl.: Erfurt, Univ., Diss., 2007. Wissensprozesse und digitale Medien, vol. 9. Logos, Berlin (2008)
Acknowledgments
Part of the authors’ work has been supported by the German Federal Ministry for Education and Research (BMBF) within the joint project SensoMot under grant no. 16SV7516, within the program “Tangible Learning”.
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Bauer, M., Bräuer, C., Schuldt, J., Krömker, H. (2019). Adaptive E-learning for Supporting Motivation in the Context of Engineering Science. In: Nazir, S., Teperi, AM., Polak-Sopińska, A. (eds) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2018. Advances in Intelligent Systems and Computing, vol 785. Springer, Cham. https://doi.org/10.1007/978-3-319-93882-0_39
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