Educational Data Mining
Educational Technology
Institute of Social Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Educational Data Mining | BTE537 | Elective | Master's degree | 1 | Fall | 7 |
Name of Lecturer(s)
Associate Prof. Dr. Arzu DEVECİ TOPAL
Learning Outcomes of the Course Unit
1) Explains conceptual, operational and strategic information about educational data mining.
2) Explains and applies educational data mining and visualization
3) Defines and uses classifiers for educational data mining
4) Applies educational data mining methods in e-learning environments
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | ||
| Learning Outcomes | |||||||||||
| 1 | Middle | Low | Middle | Low | Low | Middle | Middle | Low | Low | Middle | |
| 2 | Middle | Middle | Low | High | Middle | High | Middle | Low | Low | High | |
| 3 | High | Middle | Low | High | Middle | High | High | Low | No relation | High | |
| 4 | High | High | High | Middle | Middle | High | Middle | Middle | Low | Middle | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Not Required
Course Contents
Educational data mining is the process of finding and extracting meaningful results from big data. Educational data mining deals with the methods of discovering knowledge from the data obtained from e-learning environments and uses these methods to increase learning and improve the learning environment.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Number |
Percentage |
|
|---|---|---|
Contribution of Quiz to Course Grade |
2 |
60% |
Contribution of Final Examination to Course Grade |
1 |
40% |
Total |
100% |
|
Language of Instruction
Turkish
Work Placement(s)
Not Required