CEIT358 ARTIFICIAL INTELLIGENCE: APPLICATIONS IN EDUCATION
| Course Code: | 4300358 |
| METU Credit (Theoretical-Laboratory hours/week): | 3 (3.00 - 0.00) |
| ECTS Credit: | 4.0 |
| Department: | Computer Education and Instructional Technology |
| Language of Instruction: | English |
| Level of Study: | Undergraduate |
| Course Coordinator: | |
| Offered Semester: | Fall and Spring Semesters. |
Course Objectives
At the end of this course, the student will learn:
- the interrelated subjects and issues involved in Artificial Intelligence (AI)
- the issues and processes which impact the successful AI applications in education.
Course Content
Intelligence and features; difference between Artificial Intelligence (AI) and human intelligence; Artificial Intelligence: Current status and application areas; the history of artificial intelligence; expert systems: components, properties: expert systems: design, applications and technology; use of expert systems in education; intelligent learning systems; big data in education; learning analytics; educational agent; adaptive learning and adaptive testing; using logical programming languages.
Course Learning Outcomes
Upon completion of this course, students should be able to:
- Define intelligence and its features from different perspectives
- Identify the differences between Artificial Intelligence vs Human Intelligence
- Tell about the current status and application areas of AI
- Tell about the history of artificial intelligence
- Describe expert system with its components and properties
- Tell about the expert system design
- List different application areas of expert systems
- List different expert system technologies
- Explain the use of expert systems in education
- Recognize the basic concepts of Artificial Intelligence and its applications in education
- Explain the impact of Artificial Intelligence in education
- Tell about intelligent learning systems
- Tell about big data applications in education
- Tell about learning analytics
- Explain educational agent
- Tell about adaptive learning and adaptive testing
- Prepare a PowerPoint presentation with narration on any of the topic from the course outline
- Develop program segments using logical programming languages
- Discuss the future of AI in education
Program Outcomes Matrix
| Level of Contribution | |||||
| # | Program Outcomes | 0 | 1 | 2 | 3 |
| 1 | They have the skill and knowledge to use information technologies. | ✔ | |||
| 2 | They use information technology to access information, and they analyze, synthesize, and evaluate knowledge by adapting to new situations. | ✔ | |||
| 3 | They use strategies and techniques based on learning theories and apply them to solve instructional problems in a systemic and systematic way | ✔ | |||
| 4 | They have skill and knowledge in analysis, design, development, implementation and evaluation in instructional design process. | ✔ | |||
| 5 | They implement learning-teaching methods and techniques in computer education. | ✔ | |||
| 6 | They have knowledge, skill and competency about computer hardware, operating systems, computer networks and programming languages. | ✔ | |||
| 7 | They determine measurement and evaluation methods and techniques used in computer education. | ✔ | |||
| 8 | They have the ability to conduct and present results of intra-disciplinary and inter-disciplinary researches in the field of instructional technology. | ✔ | |||
| 9 | They comprehend project management processes and implement and present projects electronically. | ✔ | |||
| 10 | They have critical thinking and problem solving skills. | ✔ | |||
| 11 | They have social communication and cultural exchange skills. | ✔ | |||
| 12 | They have legal knowledge, skills and attitudes required for teaching profession and apply them in the learning environment. | ✔ | |||
0: No Contribution 1: Little Contribution 2: Partial Contribution 3: Full Contribution