Active ingredients and factors for deep processing during an example-based training intervention
Hefter MH, Berthold K (2022)
Learning Environments Research 25: 17-39.
Zeitschriftenaufsatz
| Veröffentlicht | Englisch
Download
Abstract / Bemerkung
In two experiments with German secondary school students (N 1 = 43; N2 = 41), we aimed
to analyze and optimize an effective learning environment. We sought further active ingre-
dients and crucial factors for deep processing during an example-based training interven-
tion, which consisted mainly of video examples and self-explanation prompts. In Experi-
ment 1, we analyzed whether presenting learning goals influenced learning processes (i.e.
mental effort and self-explanation quality) and learning outcomes (i.e. declarative knowl-
edge about argumentation). In Experiment 2, we examined the role of the ratio between
the number of self-explanation and practice tasks. Both experiments revealed that learners
highly improved their declarative knowledge on argumentation. These effects remained sta-
ble after 2 and 3 weeks—regardless of whether learning goals had been presented or the
ratio between self-explanation and practice tasks. Furthermore, mental effort and the Need
for Cognition (NFC) were identified and discussed as crucial factors for deep processing
the given examples and for the knowledge gain from pretest to delayed posttests. Present-
ing learning goals reduced mental effort, albeit at the expense of beneficial cognitive pro-
cessing of the given examples. Finally, NFC contributed to learners’ mental engagement
not only during but also after the training intervention.
Stichworte
Example-based learning · Mental effort · Need for cognition · Self-explanation · Training intervention
Erscheinungsjahr
2022
Zeitschriftentitel
Learning Environments Research
Band
25
Seite(n)
17-39
Urheberrecht / Lizenzen
ISSN
1387-1579
Finanzierungs-Informationen
Open-Access-Publikationskosten wurden durch die Universität Bielefeld im Rahmen des DEAL-Vertrags gefördert.
Page URI
https://pub.uni-bielefeld.de/record/2949408
Zitieren
Hefter MH, Berthold K. Active ingredients and factors for deep processing during an example-based training intervention. Learning Environments Research. 2022;25:17-39.
Hefter, M. H., & Berthold, K. (2022). Active ingredients and factors for deep processing during an example-based training intervention. Learning Environments Research, 25, 17-39. https://doi.org/10.1007/s10984-020-09347-6
Hefter, Markus Herbert, and Berthold, Kirsten. 2022. “Active ingredients and factors for deep processing during an example-based training intervention”. Learning Environments Research 25: 17-39.
Hefter, M. H., and Berthold, K. (2022). Active ingredients and factors for deep processing during an example-based training intervention. Learning Environments Research 25, 17-39.
Hefter, M.H., & Berthold, K., 2022. Active ingredients and factors for deep processing during an example-based training intervention. Learning Environments Research, 25, p 17-39.
M.H. Hefter and K. Berthold, “Active ingredients and factors for deep processing during an example-based training intervention”, Learning Environments Research, vol. 25, 2022, pp. 17-39.
Hefter, M.H., Berthold, K.: Active ingredients and factors for deep processing during an example-based training intervention. Learning Environments Research. 25, 17-39 (2022).
Hefter, Markus Herbert, and Berthold, Kirsten. “Active ingredients and factors for deep processing during an example-based training intervention”. Learning Environments Research 25 (2022): 17-39.
Alle Dateien verfügbar unter der/den folgenden Lizenz(en):
Creative Commons Namensnennung 4.0 International Public License (CC-BY 4.0):
Volltext(e)
Access Level
Open Access
Zuletzt Hochgeladen
2022-07-20T06:46:28Z
MD5 Prüfsumme
72354c280755a5e5d1ff10251695c3a7
Export
Markieren/ Markierung löschen
Markierte Publikationen
Web of Science
Dieser Datensatz im Web of Science®Suchen in