Contribution in an anthology

Crossing Boundaries in Electronic Learning: Combining Fragmented Test Data for a New Perspective on Students' Learning


Authors listHedtrich, S; Graulich, N

Appeared inComputer-Aided Data Analysis in Chemical Education Research (CADACER): Advances and Avenues

Editor listGupta, T

Publication year2017

Pages21-38

ISBN9780841232440

eISBN9780841232433

DOI Linkhttps://doi.org/10.1021/bk-2017-1260.ch003

Title of seriesACS symposium series

Number in series1260


Abstract

Blended-learning has become a well-known and widely used scaffolding tool to support a student's learning process. Thereby, blended-learning offers the opportunity to profit by best practices in face-to-face learning situations and computer-based learning. Nevertheless, teachers use the computer-based part mostly as a black box scaffolding tool to support their students. "Test passed" or "test not (yet) passed" are generally the only information teachers receive. Hence, the influence of the computer-based learning on the face-to-face lessons can be described by a simple access control or some digital-assisted homework check. Our idea to extend the benefit of both learning worlds is the development of a software solution that can offer a more detailed insight into a student's learning during the computer-based learning. Consequently, teachers can provide face-to-face lessons that meet the needs of individual students better and new types of automatically delivered feedback can be realized.




Citation Styles

Harvard Citation styleHedtrich, S. and Graulich, N. (2017) Crossing Boundaries in Electronic Learning: Combining Fragmented Test Data for a New Perspective on Students' Learning, in Gupta, T. (ed.) Computer-Aided Data Analysis in Chemical Education Research (CADACER): Advances and Avenues. Washington D.C.: American Chemical Society, pp. 21-38. https://doi.org/10.1021/bk-2017-1260.ch003

APA Citation styleHedtrich, S., & Graulich, N. (2017). Crossing Boundaries in Electronic Learning: Combining Fragmented Test Data for a New Perspective on Students' Learning. In Gupta, T. (Ed.), Computer-Aided Data Analysis in Chemical Education Research (CADACER): Advances and Avenues (pp. 21-38). American Chemical Society. https://doi.org/10.1021/bk-2017-1260.ch003


Last updated on 2025-21-05 at 14:40