CEIT720 LEARNING ANALYTICS IN EDUCATION
| Course Code: | 4300720 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 8.0 |
| Department: | Computer Education and Instructional Technology |
| Language of Instruction: | English |
| Level of Study: | Graduate |
| Course Coordinator: | Assoc.Prof.Dr. ERKAN ER |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
This course aims to provide students with the necessary background and skills:
- To identify the major approaches to Learning Analytics and related Educational Data Mining (EDM) models.
- To understand the essential characteristics of basic LA methods and their applications to develop educational interventions.
- To provide necessary knowledge and skills to perform LA by using a data set.
Course Content
Fundamentals of Learning Analytics with an emphasis on the significance of data to improve both learning and teaching in addition to the instructional systems; the ways of collecting and analyzing data; data and its interpretation overview of learning analytics including the key concepts and dimensions of the field; different techniques and tools used in learning analytics.
Course Learning Outcomes
By the end of the course, students will:
- Identify and describe key factors affecting and informing the design and implementation of learning analytics interventions,
- Be familiar with the basics of collecting, cleaning, transforming, managing, and analyzing educational data,
- Be familiar with some of the popular data analytic techniques, including clustering, predictive models, text analysis, process mining,
- Develop awareness and skills necessary for applying learning analytics.