PristupačnostDigital 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
- Identify and apply cognitivist learning theories for key computer-assisted learning scenarios
- Identify and apply appropriate assessment item types for computer-supported knowledge assessment
- Develop a user interface respecting good practices in their design and evaluation
- Explain use cases and techniques of colalaborative learning
- Develop conclusion on trends in user data using learning analytics methods
- Apply gamification technologies for design of digital learning materials
- Identify and explain the relevance of key interoperability norms in digital education
Forms of Teaching
Lectures
Course attendance
ExamsTests
Laboratory WorkStudent group project
Grading Method
| Continuous Assessment | Exam | |||||
|---|---|---|---|---|---|---|
| Type | Threshold | Percent of Grade | Threshold | Percent of Grade | ||
| Class participation | 0 % | 10 % | 0 % | 10 % | ||
| Seminar/Project | 50 % | 60 % | 50 % | 60 % | ||
| Mid Term Exam: Written | 0 % | 1 % | 0 % | |||
| Final Exam: Written | 50 % | 29 % | ||||
| Exam: Written | 50 % | 30 % | ||||
Week by Week Schedule
- Practical aspects of learning theories and paradigms
- Computer based knowledge assessment
- Development and properties of user interfaces
- User interfaces interactivity and usability
- Web and mobile technologies in education
- Collaborative learning technologies
- Learning analytics
- Midterm exam
- Midterm exam
- Gamification technologies in education
- Learning and content management systems
- Contents (open Resources, Metadata, Learning objects …)
- Interoperability in digital education
- Project presentations (1/2)
- Project presentations (2/2)
Study Programmes
University graduate
Computer Engineering (profile)
Recommended elective courses
(3. semester)
Software Engineering and Information Systems (profile)
Recommended elective courses
(3. semester)
Literature
Peter Jarvis, John Holford, Colin Griffin (2003.), The Theory & Practice of Learning, Psychology Press
Pierre Dillenbourg (2015.), Orchestration Graphs, Epfl Press
Allan Collins and Richard Halverson (2009.), Rethinking Education in the Age of Technology, Teachers College Press
Associate Lecturers
General
ID 168866
Winter semester
4 ECTS
L1 English Level
L1 e-Learning
30 Lectures
0 Exercises
15 Laboratory exercises
0 Project laboratory
Grading System
90 Excellent
80 Very Good
65 Good
50 Acceptable