Supporting student motivation in class: the motivational potential of tasks

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 the...

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Bibliographic Details
Main Authors: Heine, J.-H (Author), Heinle, A. (Author), Holzberger, D. (Author), Reinhold, F. (Author), Schiepe-Tiska, A. (Author)
Format: Article
Language:English
Published: Springer VS 2022
Subjects:
Online Access:View Fulltext in Publisher
LEADER 01899nam a2200229Ia 4500
001 10.1007-s11618-022-01090-3
008 220510s2022 CNT 000 0 und d
020 |a 1434663X (ISSN) 
245 1 0 |a Supporting student motivation in class: the motivational potential of tasks 
260 0 |b Springer VS  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1007/s11618-022-01090-3 
520 3 |a 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. © 2022, The Author(s). 
650 0 4 |a Mathematics 
650 0 4 |a Motivational support 
650 0 4 |a Physics 
650 0 4 |a Task analysis 
700 1 |a Heine, J.-H.  |e author 
700 1 |a Heinle, A.  |e author 
700 1 |a Holzberger, D.  |e author 
700 1 |a Reinhold, F.  |e author 
700 1 |a Schiepe-Tiska, A.  |e author 
773 |t Zeitschrift fur Erziehungswissenschaft