Coding energy knowledge in constructed responses with explainable NLP models
Abstract: Background : Formative assessments are needed to enable monitoring how student knowledge develops throughout a unit. Constructed response items which require learners to formulate their own free-text responses are well suited for testing their active knowledge. However, assessing such constructed responses in an automated fashion is a complex task and requires the application of natural language processing methodology. In this article, we implement and evaluate multiple machine learning models for coding energy knowledge in free-text responses of German K-12 students to items in formative science assessments which were conducted during synchronous online learning sessions. Dataset : The dataset we collected for this purpose consists of German constructed responses from 38 different items dealing with aspects of energy such as manifestation and transformation. The units and items were implemented with the help of project-based ...
- Standort
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Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
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Online-Ressource
- Sprache
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Englisch
- Anmerkungen
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In: Journal of computer assisted learning 39 (2022) 3, S. 767-786
ISSN: 1365-2729
(DE-600)2015214-0
- Klassifikation
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Allgemeines, Wissenschaft
- Ereignis
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Veröffentlichung
- (wo)
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Frankfurt
- (wer)
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DIPF Leibniz Institut für Bildungsforschung und Bildungsinformation
- (wann)
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2022
- Urheber
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Gombert, Sebastian
Di Mitri, Daniele
Karademir, Onur
Kubsch, Marcus
Kolbe, Hannah
Tautz, Simon
Grimm, Adrian
Bohm, Isabell
Neumann, Knut
Drachsler, Hendrik
- DOI
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10.25656/01:28441
- URN
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urn:nbn:de:0111-pedocs-284415
- Rechteinformation
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
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15.08.2025, 07:34 MESZ
Datenpartner
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Gombert, Sebastian
- Di Mitri, Daniele
- Karademir, Onur
- Kubsch, Marcus
- Kolbe, Hannah
- Tautz, Simon
- Grimm, Adrian
- Bohm, Isabell
- Neumann, Knut
- Drachsler, Hendrik
- DIPF Leibniz Institut für Bildungsforschung und Bildungsinformation
Entstanden
- 2022
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