Digital Education

Course Description

The Digital education course gives an overview of technology-enhanced learning to the attending students. The focus is on technologies that support learners and teachers in the educational process and on technologies that enhance education and potentially lead to better results on exams and contribute to building skills such as collaboration or critical thinking. In addition to the engineering knowledge needed for the development of such technologies, usability of software for education and evaluation of educational solutions are the necessary components in achieving the eco-system of modern digital education.

Learning Outcomes

  1. Classify educational applications according to their contribution to learning and teaching.
  2. Develop educational applications using modern software development techniques.
  3. Choose adequate usability principles in the design of educational application user interfaces.
  4. Evaluate educational applications using standard statistical methods.

Forms of Teaching

Lectures

Lectures on course topics on a weekly schedule

Independent assignments

Independent tasks on technology in education

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Seminar/Project 50 % 50 % 50 % 50 %
Final Exam: Written 50 % 40 %
Final Exam: Oral 10 %
Exam: Written 50 % 40 %
Exam: Oral 10 %

Week by Week Schedule

  1. Learning and teaching processes
  2. Learning and teaching processes
  3. Computer supported collaborative learning
  4. Computer supported collaborative learning
  5. Computer supported collaborative learning
  6. Mobile learning
  7. Mobile learning
  8. Midterm exam
  9. Mobile and ubiquitous technologies
  10. Mobile and ubiquitous technologies
  11. Augmented and virtual reality technologies
  12. Augmented and virtual reality technologies
  13. Learning analytics
  14. Learning analytics
  15. Final exam

Study Programmes

University graduate
[FER3-HR] Audio Technologies and Electroacoustics - profile
Elective Courses (1. semester) (3. semester)
[FER3-HR] Communication and Space Technologies - profile
Elective Courses (3. semester)
[FER3-HR] Computational Modelling in Engineering - profile
Elective Courses (3. semester)
[FER3-HR] Computer Engineering - profile
Elective Courses (3. semester)
Elective Courses of the Profile (3. semester)
[FER3-HR] Computer Science - profile
Elective Courses (3. semester)
[FER3-HR] Control Systems and Robotics - profile
Elective Courses (3. semester)
[FER3-HR] Data Science - profile
Elective Courses (3. semester)
[FER3-HR] Electrical Power Engineering - profile
Elective Courses (3. semester)
[FER3-HR] Electric Machines, Drives and Automation - profile
Elective Courses (3. semester)
[FER3-HR] Electronic and Computer Engineering - profile
Elective Courses (3. semester)
[FER3-HR] Electronics - profile
Elective Courses (3. semester)
[FER3-HR] Information and Communication Engineering - profile
Elective Courses (3. semester)
[FER3-HR] Network Science - profile
Elective Courses (3. semester)
[FER3-HR] Software Engineering and Information Systems - profile
Elective Course of the profile (3. semester)
Elective Courses (3. semester)
[FER2-HR] Computer Engineering - profile
Recommended elective courses (3. semester)
[FER2-HR] Software Engineering and Information Systems - profile
Recommended elective courses (3. semester)

Literature

(.), Learning Theory and Online Technologies,
(.), Meaningful Learning with Technology (4th Edition),
(.), Instructional Technology and Media for Learning (10th Edition),

For students

General

ID 222538
  Winter semester
5 ECTS
L1 English Level
L1 e-Learning
30 Lectures
0 Seminar
0 Exercises
0 Laboratory exercises
0 Project laboratory

Grading System

90 Excellent
80 Very Good
65 Good
50 Acceptable