From traditional to e-learning: case studies Katerina Zdravkova Faculty of Natural Sciences and Mathematics Institute of Informatics

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Presentation transcript:

From traditional to e-learning: case studies Katerina Zdravkova Faculty of Natural Sciences and Mathematics Institute of Informatics

2 Contents Introduction Kick-off event: NCP in ODL Distance Learning at Institute of Informatics –Computer Applications –Artificial Intelligence International Collaboration: JCSE, M.Sc SE Conclusion

3 Where and how would you like to buy? 1.Open markets: Kvantaški, Bit Pazar, Bunjakovec 2.Groceries, small markets 3.Hypermarkets: Ramstore, Carrefour “Buying” knowledge and skills 1.Traditional learning 2.Computer-aided instruction 3.E-learning Introduction display freshnes s variety quality transpor t price receipt

4 Learning, e-learning, blended learning Learning: “Process of acquiring modifications in existing knowledge, skills, habits, or tendencies through experience, practice, or exercise.*” E-learning: “E-learning is naturally suited to distance learning and flexible learning, but can also be used in conjunction with face-to-face teaching, in which case the term blended learning is commonly used.**”blended learning *© Encyclopædia Britannica Encyclopædia Britannica Premium Service. 9 Sept **©

5 FNSM: Institute of Informatics

6 Phare National Contact Point in Open and Distance Learning

7 ODL: E-learning

8 Distance learning at II

9 Case studies: Computer Applications: I semester (250 students): –Lectures and Exercises –Assignments –Tutorials –E-testing Artificial Intelligence: VI semester (80 students) –Lectures and Exercises –Visualisation

10 Computer Application

11 Lectures

12 Practical exercises

13 Tutorials: discussion forum

14 Downloadable templates

15 Tutorials: communication

16 E-testing is a helpful tool

17 Self-testing

18 E-testing gives an instant final result

19 Artificial Intelligence

20 Lectures

21 Practical exercises

22 Case study: Depth-first search

23 Visualisation of AI algorithms Search space Search algorithms AND/OR graphs in sentence parsing Macedonian Text-to-speech system (non-commercial version)

24 Search space

25 Search algorithms

26 Sentence parsing

27 Text-to-speech

28 One step ahead: International online collaboration DAAD project: “Software Engineering Education and Reverse Engineering” DAAD project: “Computer Science Education and Research Collaboration” Tempus CD_JEP : “Joint M.Sc. Curriculum in Software Engineering”

29 DAAD projects website

30 First result: Ongoing joint courses

31 Already developed Joint courses: Software Engineering OOP with Java Software Project Management Compiler construction Data structures and algorithms

32 Forthcoming: Joint M.Sc. studies

33 And, thank you for your attention