Abstract
The concept of e-portfolio is finding an ever-growing uptake in secondary and post-secondary education as a tool to measure holistically the effects of learning. Learners document their development process in form of a collection of documents. In this research, we propose an automated method to support teachers in their assessment of e-portfolios by evaluating e-portfolios using automated analysis tools, which operate descriptively and semantically. A first formative evaluation of the system has been performed, to assess how much the quality portfolios are detected by descriptive indicators, which have proven to be already partially expressive. Delivered insights on e-portfolios were considered valuable by lecturers.
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CITATION STYLE
Müller, W., Rebholz, S., & Libbrecht, P. (2017). Automatic inspection of E-portfolios for improving formative and summative assessment. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10108 LNCS, pp. 480–489). Springer Verlag. https://doi.org/10.1007/978-3-319-52836-6_51
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