Literaturnachweis - Detailanzeige
Autor/inn/en | Hsu, Pi-Shan; Chang, Te-Jeng; Wu, Ming-Hsiung |
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Titel | A New Diagnostic Mechanism of Instruction: A Dynamic, Real-Time and Non-Interference Quantitative Measurement Technique for Adaptive E-Learning |
Quelle | In: International Journal of Distance Education Technologies, 7 (2009) 3, S.85-96 (12 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1539-3100 |
Schlagwörter | Electronic Learning; Measurement Techniques; Expertise; Cognitive Processes; Difficulty Level; Educational Assessment; Learning Theories; Computer Assisted Instruction; Information Technology; Educational Technology; Programming; Computer Software; Computer System Design; Instructional Design; Intelligent Tutoring Systems; Diagnostic Tests; Formative Evaluation; Efficiency Messtechnik; Expert appraisal; Cognitive process; Kognitiver Prozess; Schwierigkeitsgrad; Education; assessment; Bewertungssystem; Learning theory; Lerntheorie; Computer based training; Computerunterstützter Unterricht; Informationstechnologie; Unterrichtsmedien; Programmierung; Lesson concept; Lessonplan; Unterrichtsentwurf; Intelligentes Tutorsystem; Diagnostic test; Diagnostischer Test; Effectiveness; Effektivität; Wirkungsgrad |
Abstract | The level of learners' expertise has been used as a metric and diagnostic mechanism of instruction. This metric influences mental effort directly according to the applications of cognitive load theory. Cognitive efficiency, an optimal measurement technique of expertise, was developed by Kalyuga and Sweller to replace instructional efficiency in e-learning environment for dynamically adapting instruction. But mental effort, a factor of cognitive efficiency, is assessed by a node mode measurement technique which discontinues instruction and causes interference. This research proposes a new adaptive e-learning measurement technique which assesses learning effort in a dynamic, real-time, and non-interference instructional process. The learning effort curve is a key diagnostic to enhance interaction between instructors and learners in an adaptive e-learning instructional process. (Contains 3 tables and 3 figures.) (As Provided). |
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Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2017/4/10 |