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Task- and Standard-based Learning

An Instructional Psychology Perspective

by Hermann Astleitner (Volume editor) Hans-Jörg Herber (Volume editor)
©2007 Conference proceedings II, 116 Pages

Summary

Tasks and standards play a major role within recent attempts to improve quality in education, like, for example, PISA (Program for International Student Assessment). Within this book, first, the relationship between instructional psychology, educational standards, and task-related learning research is outlined. Then a theoretical model of task attributes, which are relevant for learning, is depicted. Based on certain task attributes (e.g., task complexity and sequencing), two experimental studies are conducted in order to test task effects on learning and motivation. Results showed that effects of tasks varied in respect to task contexts and personality characteristics of the learner. Within an exploration study, using LISREL, a theory of emotional processes was tested in order to find emotional standards for reading. Within a section of application, it is shown how task-related research could be used to design self-regulated learning materials and activities, which support teaching. Finally, standards for educational practices (web-based teacher education) are formulated and discussed.

Details

Pages
II, 116
Year
2007
ISBN (Softcover)
9783631551356
Language
English
Keywords
Lernaufgabe Instruktionspsychologie Pädagogische Psychologie Aufgabenanalyse Lesen Lehr-Lern-Forschung
Published
Frankfurt am Main, Berlin, Bern, Bruxelles, New York, Oxford, Wien, 2007. II, 116 pp., num. tables and graphs

Biographical notes

Hermann Astleitner (Volume editor) Hans-Jörg Herber (Volume editor)

The Editors: Hermann Astleitner (Associate Professor) and Hans-Jörg Herber (Professor) are with the Department of Educational Research at the University of Salzburg, Austria (URL http://www.uni-salzburg.at/erz_soz). Their main research interests are instructional systems design, motivation, emotion, and learning.

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Title: Task- and Standard-based Learning