Supporting student motivation in class

The motivational potential of tasks

Bibliographic Data

ID21714968
AuthorsAnna Heinle (0000-0001-8259-0224, Technical University of Munich, corresponding author), Anja Schiepe-Tiska (0000-0003-4478-9798, Technical University of Munich), Frank Reinhold (0000-0003-4468-024X, University of Education Freiburg), Jörg-Henrik Heine (0000-0002-0243-5556, Technical University of Munich), Doris Holzberger (0000-0001-6535-289X, Technical University of Munich)
Year2022
Volume25
Issue2
Pages453-470
Publication date2022-04-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueZeitschrift für Erziehungswissenschaft (JOURNAL)
Journal identifiersISSN: 1434-663X • E-ISSN: 1862-5215
PublisherSpringer Science and Business Media LLC (PUBLISHER)
DOI10.1007/s11618-022-01090-3
OpenAlexW4225016585
LanguageEN
Citations received4
References cited37

Fostering student motivation is an important educational goal. However, motivation in the classrooms is rather heterogeneous, particularly in mathematics and physics. This study examines the potential of (textbook) tasks to promote student motivation. Based on self-determination theory (SDT) and theory of interest , a low-inference coding scheme was developed and validated by applying the framework of item response theory (IRT) to assess the motivational potential of tasks. Current ninth grade mathematics and physics tasks ( N = 254 task units) were analyzed using the categories differentiated instruction, real-life context, autonomy support, competence support , and support for relatedness . Additionally, differences between mathematics and physics tasks were examined. Results indicate the coding scheme’s high interrater reliabilities and empirical validity. Furthermore, we found only a low occurrence of motivational features in mathematics and physics tasks, with few subject-specific differences in favor of mathematics. The coding scheme can contribute to optimizing motivation-supportive instructional designs

Autonomy · Goal theory · Inference · Intrinsic motivation · Mathematics education · Ninth · Self-determination theory · Computer Science · Education, Achievement, and Giftedness · Innovative Teaching and Learning Methods · Mathematics · Motivation and Self-Concept in Sports · Psychology · Social Psychology · Artificial Intelligence

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