Applications of Artificial Intelligence in Education

EDU 8202EEF

Course Guide

EDU 8202EEF

Course Guide

Applications of Artificial Intelligence in Education

Course Start Date

N/A

Course Level

N/A

Length in Terms

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Credits

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Language

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Fees ($) (including lab fees)

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Future Terms

Quota and Schedule

Course Start Date	Course Level	Length in Terms	Credits	Language	Fees ($) (including lab fees)	Future Terms
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Quota and Schedule

Course Coordinator:

Dr Rex Ng, BEd, MEd, PhD (HKU)

Course Developer:

Dr Tiffany Ip Nga Min

Compulsory Prerequisite(s)

Completed at least 30 credit-units from the Electronics programme.

Aims

This course begins with a broad overview of artificial intelligence (AI) concepts, gradually narrowing the focus to generative AI (GenAI) as an introduction. The course covers fundamental AI concepts and theoretical foundations, including key historical development. It delves into specific technologies of GenAI and its applications in education. The course aims to provide students with a comprehensive understanding of the AI background and equip them with practical applications of Gen AI in modern education.

Upon completion of this course, students should be able to:

explain the basic concepts of artificial intelligence, its historical development, and its applications in education;
analyse practical cases of generative AI (GenAI) in learning and teaching;
discuss ethical considerations when using artificial intelligence and its impact;
apply artificial intelligence tools in the educational context; and
critically evaluate the applications of artificial intelligence in education.

Contents

Introduction to artificial intelligence
Theoretical foundations of Generative Artificial Intelligence (GenAI)
Practical applications of GenAI
Applications of GenAI for teaching
Applications of GenAI for learning
Ethical and social issues of artificial intelligence
Future development of artificial intelligence
Integrated applications and course summary

Learning support

Students will learn through lectures, case studies, group discussions, and practical exercises. There will be 39 hours of lectures. The lectures introduce the basic concepts and theories of artificial intelligence, while case studies and group discussions promote in-depth understanding and critical thinking. The practical exercises allow students to apply generative artificial intelligence tools, enhancing their practical skills.

Assessment

The assessment in this course consists of two assignments (100%).

Online requirement

Students are required to submit assignments via the Online Learning Environment (OLE).

Equipment

A PC-compatible computer ready for connecting to the Internet is essential. The minimum configuration of the computer is:

PC with an x86 CPU or equivalent
1GB RAM
Hard disk
Sound card with speakers

You need to be familiar with the basic use of a computer including keyboard, mouse and word processing software. Experience in using email, the Internet and the World Wide Web is also essential.

Software

You should have Windows with Microsoft Word. Other software will be downloaded from the Internet. You may need to use OpenOffice to prepare assignment answers.

Set book(s)

There are no set textbooks for this course.

Students with disabilities or special educational needs

Depending on the nature of the project, a particular disability or special educational need may affect the successful and efficient carrying out of the project. Students are requested to seek the advice of the Course Coordinator before enrolling in the course.