1. FIRST CYCLE - BACHELOR'S DEGREE
  2. FACULTY OF EDUCATION
  3. FOREIGN LANGUAGE EDUCATION DEPARTMENT
  4. 131 ENGLISH LANGUAGE TEACHING
Course Information Course Learning Outcomes Course's Contribution To Program ECTS Workload Course Details
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COURSE INFORMATION
Course CodeCourse TitleL+P HourSemesterECTS
OMB 5027ARTIFICIAL INTELLIGENCE APPLICATIONS IN EDUCATION2 + 06th Semester2

COURSE DESCRIPTION
Course Level Bachelor's Degree
Course Type Elective
Course Objective To introduce artificial learning (machine learning) and artificial intelligence applications in learning and teaching process and to ensure that students use these applications in their professional lives.
Course Content Regression, artificial learning (machine learning), artificial neural networks, large language models, query-based text, visual, animation and sound generation, automatic item generation, automatic scoring, automatic feedback.
Prerequisites No the prerequisite of lesson.
Corequisite No the corequisite of lesson.

COURSE LEARNING OUTCOMES
1Understands the working principle of artificial learning and artificial intelligence.
2Knows artificial intelligence tools.
3Develops teaching material using artificial intelligence tools.
4Utilize artificial intelligence tools in the measurement and evaluation process.

COURSE'S CONTRIBUTION TO PROGRAM
PO 01PO 02PO 03PO 04PO 05PO 06PO 07PO 08PO 09PO 10PO 11PO 12PO 13PO 14PO 15PO 16PO 17PO 18PO 19PO 20PO 21PO 22PO 23PO 24
LO 002 5             55 555   
LO 004 5             55 555   
Sub Total 10             1010 101010   
Contribution030000000000000330333000

ECTS ALLOCATED BASED ON STUDENT WORKLOAD BY THE COURSE DESCRIPTION
ActivitiesQuantityDuration (Hour)Total Work Load (Hour)
Course Duration (14 weeks/theoric+practical)14228
Hours for off-the-classroom study (Pre-study, practice)717
Assignments313
Mid-terms177
Final examination177
Total Work Load

ECTS Credit of the Course





52

2
COURSE DETAILS
 Select Year   


 Course TermNoInstructors
Details 2024-2025 Fall2EREN CAN AYBEK


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Course Details
Course Code Course Title L+P Hour Course Code Language Of Instruction Course Semester Mode of Delivery
OMB 5027 ARTIFICIAL INTELLIGENCE APPLICATIONS IN EDUCATION 2 + 0 2 Turkish 2024-2025 Fall Face to Face
Course Coordinator  E-Mail  Phone Number  Course Location Attendance
Assoc. Prof. Dr. EREN CAN AYBEK eaybek@pau.edu.tr EGT A0431-11 %70
Goals To introduce artificial learning (machine learning) and artificial intelligence applications in learning and teaching process and to ensure that students use these applications in their professional lives.
Content Regression, artificial learning (machine learning), artificial neural networks, large language models, query-based text, visual, animation and sound generation, automatic item generation, automatic scoring, automatic feedback.
Topics
WeeksTopics
1 Statistical Modeling
2 Machine Learning
3 Machine Learning
4 Artificial Neural Networks
5 Artificial Intelligence and Its Applications
6 Large Language Models
7 Online Artificial Intelligence Tools
8 Local Artificial Intelligence Tools
9 LM Studio and Use Case
10 GPT4ALL and Use Case
11 Image Generation with Stable Diffusion
12 Student Projects
13 Student Projects
14 Student Projects
Materials
Materials are not specified.
Resources
Course Assessment
Assesment MethodsPercentage (%)Assesment Methods Title
Final Exam60Final Exam
Midterm Exam40Midterm Exam
L+P: Lecture and Practice
PQ: Program Learning Outcomes
LO: Course Learning Outcomes