RTC404 Advanced Digital Technologies in Education

Code RTC404
Name Advanced Digital Technologies in Education
Status Compulsory/Courses of Limited Choice
Level and type Post-graduate Studies, Academic
Field of study Computer Science
Faculty
Academic staff Atis Kapenieks, Žanis Timšāns, Loreta Juškaite, Viktors Zagorskis, Jānis Kapenieks
Credit points 5.0 (7.5 ECTS)
Parts 1
Annotation Educational technology is undergoing continuous updates for educational innovations. The current focus is the Next Generation Internet (NGI) that will significantly help to produce a higher quality e-learning by making learning more inclusive, more open, smarter, and more personalized..
The course in Advanced Digital Technologies applies the latest of digital innovations that have been identified and are currently being studied but that are not expected to be widely marketed for e-learning applications for five to ten years..
The course will teach students the basic principles of cloud-based learning systems. It will also teach basic solutions of the Internet of Things (IoT) in the field of education. Moreover, students will learn to assess the principles of the multimodal interface usability and technological design constraints. The learning and skills that students will acquire from the course will include the ability to select, plan and use virtual laboratories, as well as models of virtual and augmented reality technologies, not only to improve the study process but also their quality of life. Additionally, students will learn about various commercialization strategies, especially as they pertain to future business models and their successful application to e-learning..
Goals and objectives
of the course in terms
of competences and skills
After course completion students will be able to: 1. Select, plan and use a virtual laboratory in the study process; 2. Create student progress evaluation models in the field of education technology, including the use of virtual laboratories; 3. Understanding cloud-based learning system principles and Internet of Things technology solutions and trends as they pertain to e-education; 4. Understand the basics of the usability of multimodal interfaces and technological design constraints; 5. Understand mobile technology for education and create content for mobile learning; 6. Choose, plan and use virtual and augmented reality technologies to support the learning process.
Learning outcomes
and assessment
Competence in selecting and applying various virtual laboratories for learning purposes. - During the course, completion of portfolio of practical work will be marked in 10-point scale with 10 points as the highest grade.
Ability to develop student progress evaluation models in the field of education technologies, including the application of virtual laboratories. - During the course, completion of portfolio of practical work will be marked in 10-point scale with 10 points as the highest grade.
Comprehension of cloud-based learning system principles and Internet of Things technology solutions and trends in education. - During the course, completion of portfolio of practical work will be marked in 10-point scale with 10 points as the highest grade.
Understanding of the basics of the usability of multimodal interfaces and technological design constraints. - During the course, completion of portfolio of practical work will be marked in 10-point scale with 10 points as the highest grade.
Understanding the application of mobile technology for education and creating samples of mobile learning content. - During the course, completion of portfolio of practical work will be marked in 10-point scale with 10 points as the highest grade.
Selecting, planning and using virtual and augmented reality technologies to support the learning process. - During the course, completion of portfolio of practical work will be marked in 10-point scale with 10 points as the highest grade.
Understanding the main approaches for introducing commercialization strategies and business models in the education sector, including assessing real-life business cases. - During the course, completion of portfolio of practical work will be marked in 10-point scale with 10 points as the highest grade.
Achieving practical work accomplishments. - Practical work accomplishments published in the e-learning environments; marked with “completed” or “not completed”.
Assessing study results in accordance with course objectives. - Exam. Marked in 10-point scale with 10 points as the highest grade.
Course prerequisites There are no special requirements, although programming skills and knowledge of elementary statistics will give students an advantage to acquire learning content faster and achieve a higher quality of the learning results.

[Extended course information PDF]