Journalartikel
Autorenliste: Kollmer, Julia; Hosp, Theresa; Glogger-Frey, Inga; Renkl, Alexander; Eitel, Alexander
Jahr der Veröffentlichung: 2021
Seiten: 172-182
Zeitschrift: Journal of Computer Assisted Learning
Bandnummer: 37
Heftnummer: 1
ISSN: 0266-4909
eISSN: 1365-2729
Open Access Status: Hybrid
DOI Link: https://doi.org/10.1111/jcal.12477
Verlag: Wiley
Abstract:
To achieve deeper understanding when learning from multiple representations, learners should actively select, organize and integrate the relevant information from text and graphics within a coherent mental representation. However, as learners often fail to select and integrate all relevant information, especially from graphics, they need specific instructional support. The current study investigated the effects of instructional support in the form of adjunct aids (i.e. fill-in-the blank tasks) with references to the graphics (e.g. "see Figure X") on retention and understanding. In our study, 106 learners (N) received multimedia instructional materials about the formation of auroras either with or without adjunct aids - the former with references to graphics (signals), or with none. In line with our hypotheses, adjunct aids with signals led to deeper understanding, as reflected by higher scores in the comprehension test. In contrast, adjunct aids with signals did not lead to higher scores in the retention test. Thus, our results are in line with previous research, showing that instructional support for integrating text and graphics specifically fosters deeper understanding. Possible boundary conditions and implications for future research are discussed.
Zitierstile
Harvard-Zitierstil: Kollmer, J., Hosp, T., Glogger-Frey, I., Renkl, A. and Eitel, A. (2021) Adjunct aids and signals support online learning from multiple representations, Journal of Computer Assisted Learning, 37(1), pp. 172-182. https://doi.org/10.1111/jcal.12477
APA-Zitierstil: Kollmer, J., Hosp, T., Glogger-Frey, I., Renkl, A., & Eitel, A. (2021). Adjunct aids and signals support online learning from multiple representations. Journal of Computer Assisted Learning. 37(1), 172-182. https://doi.org/10.1111/jcal.12477
Schlagwörter
adjunct aids; COHERENCE FORMATION; Multimedia learning; QUESTIONS; TEXT; text-graphics integration