E-learning technologies

Course objectives

The aim of the course is to enable students to acquire knowledge to efficiently use technology in education. Students will get acquainted with various technologies used in education, both from a technical perspective that defines their capabilities and properties, but also from the perspective of their application in acquisition of knowledge or assessment of learning outcomes.

Enrolment requirements and/or entry competences required for the course

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Learning outcomes at the level of the programme to which the course contributes

  • Explain major historical paradigms and recognize important new trends in cognitive science.
  • Apply specific knowledge and skills from selected disciplines constituting cognitive science.
  • Employ cognitive science insights in developing innovative, human-friendly and sustainable technological solutions.
  • Employ diverse disciplinary tools in exploring and describing the nature of cognitive processes.

Course content (syllabus)

  1. Introduction
  2. Learning theories
  3. Media application
  4. Lecture capture
  5. Educational video
  6. Interactivity
  7. Computer-assisted knowledge assessment
  8. User interfaces
  9. H5P
  10. Virtual laboratories and simulations
  11. CMS and LMS systems
  12. HTTP/HML/XML
  13. Audio and video compression and storage formats.
  14. Work on project
  15. Work on project

Student responsibilities

Attending classes, participating in classes (class preparation assignments, group or individual work during classes), preparing a seminar/project assignment, midterm and final exam

Required literature

  • Isaac I. Bejar (2016.), Automated Scoring of Complex Tasks in Computer-based Testing, Psychology Press.
  • Francois Fluckiger (1995), Understanding Networked Multimedia, Prentice Hall, ISBN-13: 978-0131909922

Optional literature

  • J.Petrović i P.Pale: "Learning theories", www.learning-theories.org