Course Schedule

Spring 2024  term Course Schedule

Program Requirement

 

PHD program
Credits Needed for Graduation: Ph.D. Program

Program Required Courses  Program Elective Courses

Required Credits

Elective Credits

Total Credits

4

24

28


Required Courses:
Ph.D

Program Required Courses 

Course Name

Credit

Seminar in (I)

1

Seminar in (II)

1

Seminar in (III)

1

Seminar in (IV)

1


Elective Courses:
Ph.D

Program Elective Courses

Course Name

Credit

Post-Secondary Computer Science Education

3

Special Topics on Computer Science Education

3

Topics on Computer Science Instructional Methods

3

International Comparison of Computer Education

3

Topics on Advanced Study in Programming Instruction

3

Special Topics on School ICT Integration

3

Special Topics on e-Learning

3

Theories of e-learning

3

Theories of Network-based Learning Communities

3

Web-based Testing Systems

3

Studies in User-interface for e-learning

3

 

Master program
Credits Needed for Graduation: M.A. Program

Program Required Courses

Required Credits

Elective Credits

Total Credits

10

18

28


Required Courses:
M.A.

Program Required Courses

Course Name

Credit

Research Methods in Information and Computer Education

3

Advanced Applied Statistics

3

Seminar in (I)

1

Seminar in (II)

1

Seminar in (III)

1

Seminar in (IV)

1

 

PHD program/Master program
Elective Courses:

Program Elective Courses

Course Name

Credit

Introduction to Computer Science Education

3

Introduction to school ICT Integration

3

Introduction to e-Learning

3

Cognition and e-Learning

3

Measurement Theories

3

Courseware Design and Evaluation

3

Computer Science Instructional Methods

3

Computer Curriculum Planning

3

Introduction to Programming Instruction

3

Technology-Supported Learning Environment Planning

3

Implementation and Evaluation of School ICT Integration

3

Management of Online Learning Communities

3

Computer-Based Testing

3

User Interface for e-learning

3

Design and Development of Instructional Materials for Computer Courses

3

Information Technology Innovation Diffusion

3

e-Learning Management Systems

3

Knowledge Management and e-Learning

3

Instructional Design for e-Learning

3

Mobile Learning

3

Simulation-based e-Learning

3

e-Learning Evaluation

3

Management of e-Learning Projects

3

Case studies in e-Training

3

Digital game-based e-Learning

3

Selected Readings in Information and Computer Education

3

Academic Writing in Information and Computer Education

3

Qualitative Research Methods

3

Experimental Design

3

All of our courses could be taught in English.
Course syllabi are available http://courseap.itc.ntnu.edu.tw/acadmOpenCourse/index.jsp

 

Course Overview

I、Curriculum Fields :


                Computer Education
                E-Learning and E-Training


II、Basic Courses:
                Research Methods in Information and Computer Education
                Advanced Applied Statistics
                Educational Psychology
                Educational Statistics
                Experimental Design
                Qualitative Research Methods


III、Elective Courses :Seminar(一)、(二)、(三)、(四)


 

Course Structure

課程結構圖_英文