Sammelbandbeitrag

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


AutorenlisteHedtrich, S; Graulich, N

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

HerausgeberlisteGupta, T

Jahr der Veröffentlichung2017

Seiten21-38

ISBN9780841232440

eISBN9780841232433

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

SerientitelACS symposium series

Serienzählung1260


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.




Autoren/Herausgeber




Zitierstile

Harvard-ZitierstilHedtrich, 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-ZitierstilHedtrich, 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


Zuletzt aktualisiert 2025-21-05 um 14:40