UNDERSTANDING FACTORS INFLUENCING DISTANCE LEARNERS' INTERACTION EXPERIENCES
1 Anadolu University (TURKEY)
2 Dumplupinar University (TURKEY)
About this paper:
Conference name: 9th annual International Conference of Education, Research and Innovation
Dates: 14-16 November, 2016
Location: Seville, Spain
Abstract:
The aim of this study was to examine the interaction of learners in a distance language class. Approximately 450 learners from a higher education institution in the Aegean Region of Turkey participated provided with their dialogic engagement experiences throughout the language courses within a survey research design. The theoretical background of the study is anchored in the Theory of Instructional Dialogue (TID) developed by Gorsky and Caspi (2005). They presented a theoretical model to examine learners’ activities/actions in terms of dialogical structure/patterns in a distance learning system. The framework of the TID grounds on one core assumption: Instruction equals Dialogue.
Based on this assumption, the TID puts forward the following propositions:
1. Every element in an instructional system is either a dialogue (intrapersonal or interpersonal) or a resource which supports dialogue.
2. Certain structural and human resources, common to all instructional systems, correlate with the type, amount and duration of interpersonal dialogue that occurs both in-class and out.
3. Specific, situated dialogues correlate with learning outcomes.
“Tactical Approaches to Study” Questionnaire developed by Gorsky and Caspi was used to collected data for the current study. It was translated into Turkish and used with some adaptation to research context with the permission of the authors. The questionnaire in general consists of nine main questions and related sub-questions. It is prepared using a web-based tool for building surveys and sent to participants via LMS messages and e-mails.
This study revealed substantial information on learners’ demographics (course load, past distance learning experience, exam performance etc.), learning preferences and dialogical behaviors during the courses. The variables of the study are subjected to structural equation modeling (SEM) to understand predictors of learners' interaction styles. The results of this study is expected to serve to instructional design by raising awareness about interaction in distance education.
References:
[1] Gorsky, P. & Caspi (2005). A. Dialogue: a Theoretical Framework for Distance Education Instructional Systems. British Journal of Educational Technology, 36 (2), 137-144.Keywords:
Instructional Dialogue, Interaction, Distance Education.