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Teaching Research Methods and Statistics in eLearning Environments: Pedagogy, Practical Examples, and Possible

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This paper explores how eLearning systems can engage psychology students in research methods and statistics. It offers pedagogical strategies and practical examples to make learning statistical concepts more inspiring and effective.

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Area of Science:

  • Psychology
  • Educational Technology

Background:

  • Research methods and statistics are often anxiety-provoking for psychology students.
  • eLearning systems offer a ubiquitous and distributed platform for education.

Purpose of the Study:

  • To critically discuss how eLearning systems can engage psychology students in research methods and statistics.
  • To examine pedagogical principles for effective eLearning in this domain.

Main Methods:

  • Critical appraisal of eLearning definitions.
  • Examination of pedagogical principles for teaching research methods and statistics via eLearning.
  • Presentation of practical eLearning-based class activities.

Main Results:

  • eLearning systems, when implemented with sound pedagogical principles, can enhance student engagement.
  • Specific activities can effectively teach complex statistical concepts like Factor Analysis and Discriminant Function Analysis.

Conclusions:

  • Effective integration of eLearning requires understanding its definitions and pedagogical underpinnings.
  • Future trends in eLearning offer opportunities for improving the teaching of research methods and statistics in psychology.