Abstract
We present both design and a mixed method evaluation scheme of a semester-long course for scientific literature work. Focus of this contribution lies on the implementation for an e-learning environment with a clearly structured overview as key requirement, reflecting teaching concepts used, that is designed to reduce complexity of usage. Teaching concepts are derived from Self-Determination Theory and are assumed to provide learning conditions to support an optimal motivation profile by focusing on autonomy support, involvement, and structure. Demand-driven student-teacher communication is possible through hybrid communication structures. Approaches to flexibility are reflected by students’ own choice of research focus. Situated in 5th semester within a bachelor curriculum, Artificial Neural Networks are used as a thematical framework which easily can be adapted to other subjects. Teaching analysis poll is conducted to obtain timely feedback by students to identify helping and hindering factors for learning, followed by a questionnaire reflecting the acquisition of competences.
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Notes
- 1.
Due to a midterm in a parallel course, affected students wisely chose preparation time over feedback. For this semesters course presented in this contribution, we integrated evaluation in course content and expect a higher number of participants.
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Vieten, D., Reher, A., Gross, I. (2024). Work in Progress: Course Design and E-Learning-Environment for Scientific Competency Development for Bachelor’s Degree Students Within the Framework of Self-determination Theory. In: Auer, M.E., Cukierman, U.R., Vendrell Vidal, E., Tovar Caro, E. (eds) Towards a Hybrid, Flexible and Socially Engaged Higher Education. ICL 2023. Lecture Notes in Networks and Systems, vol 899. Springer, Cham. https://doi.org/10.1007/978-3-031-51979-6_1
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