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Bachelor of Science (Honours) in Artificial Intelligence and Educational Technology
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Virtual Information Day for Senior Year / Top-up Degree New

The Faculty of Liberal Arts and Social Sciences (FLASS) will host a Virtual Information Day on 4 December 2021 (Saturday) to introduce our Senior Year / Top-up Degree programmes. AD/HD students and interested parties are welcome. Please visit here for event details.

Programme Description

The programme is designed to address the challenges of the educational transformation driven by the fourth industrial revolution and to meet the societal needs for qualified professionals in AI and educational technology to support the future development of schools, tertiary education, government and corporate sectors.

Study Mode Normal Period of Study JUPAS Code EdUHK Programme Code
Full-time 4 Years (for Year 1 Entry)
2 Years (for Senior Year Admissions)
JS8714 A4B095
Enquiry (Admissions) Programme Leader Enquiry (Programme) Download Leaflet
(852) 2948 6886
Submit Your Enquiry
Dr So Chi Fuk Henry Dr So Chi Fuk Henry
(852) 2948 8416
hcfso@eduhk.hk
Download Leaflet

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Programme Aims

The programme aims to:

  1. provide students with fundamental knowledge and skills in artificial intelligence and educational technology;
  2. develop students’ ability in applying knowledge of artificial intelligence and educational technology appropriate to teaching and learning;
  3. build up students’ skills in using appropriate methods of artificial intelligence and educational technology to approach and solve real-world problems in educational contexts; and
  4. equip students with the capacity to conduct and evaluate educational projects supported by ethical use of artificial intelligence and educational technology.

Programme Intended Learning Outcomes (PILOs)

Upon successful completion of the programme, students will be able to:

PILO1: demonstrate knowledge and understanding of concepts and tools in artificial intelligence and educational technology;
PILO2: apply knowledge of artificial intelligence and educational technology appropriate to teaching and learning;
PILO3: identify, formulate and address educational problems by using appropriate methods of artificial intelligence and educational technology in practice; and
PILO4: design, implement and evaluate ethical use of artificial intelligence and educational technology in an educational project to meet desired needs.

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Programme Structure

For Year-1 Entrants

Component Credit Points (cps)
Major  
Major Core 39
Major Electives 6
Major Interdisciplinary Course 3
Internship 6
Final Year Project  
Honours Project / Capstone Project 6
Electives  
Minor(s) or Second Major 30
General Education  
- Foundation Course 22
- Experiential Learning
- GE Breadth Courses
- University ePortfolio
Language Enhancement 9
Total: 121

 

For Senior Year Entrants

Component Credit Points (cps)
Major  
Major Core 18
Major Electives 6
Major Interdisciplinary Course 3
Internship 6
Final Year Project  
Honours Project / Capstone Project 6
Electives  
Minor(s) 15
General Education  
- Breadth Courses / Experiential Learning 6
- University ePortfolio
Total: 60

Note: Classes will be held in Tai Po Campus and Tseung Kwan O Study Centre / Kowloon Tong Satellite Study Centre / Sports Centre as decided by the University.

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Major Studies

The major core courses provide students with a solid foundation on AI and educational technology and help them understand how to apply their knowledge across educational settings. The major elective courses offer students the flexibility to select courses in AI and educational technology to cater for their interests and needs. The major interdisciplinary course is designed to engage students in understanding the concepts and theories underlying the use of educational technologies in language learning and assessment from cross-disciplinary perspectives.

List of Major Courses

Major Course(s)
Major Core Introduction to Educational Technology
Calculus
Introduction to Programming and Problem Solving
Fundamentals of Neural Networks
Data Structures and Algorithms for Data Mining
Introduction to Probability and Statistics
Introduction to Natural Language Processing
Artificial Intelligence and Machine Learning in Education
Technologies in STEM and AI Education
Digital Games and Learning in Educational Settings
Deep Learning for Computer Vision and Education
Applied Robotics with Applications to Special Education
Designing STEM Activities with Integrated Engineering and Mathematics
Major Electives Educational Technology Enhanced Curriculum and Assessment
Practical Programming for Artificial Intelligence
Computer-Aided 3D Design and Printing Technologies
Designing STEM Activities with Integrated Sciences and Technology
Mobile Applications Design and Development
Web Database Applications for Data Analytics
Major Interdisciplinary Course Emerging Technologies for Language Learning and Assessment

Internship

The internship provides students with practical experiences and contexts to integrate and apply their knowledge and skills of AI and educational technology in the workplace. Students are required to complete an internship in a relevant organization or company related to AI and educational technology, where they can further cultivate skills and knowledge developed in the programme. They need to work in full-time mode and complete about 200 working hours of service for an assigned organization. To equip students with the basic concepts and skills required in a work environment, pre-internship workshops will be conducted. Students are expected to formulate a work schedule which has to be agreed both by the internship organization and the Internship Coordinator of EdUHK prior to the commencement of their internship.

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Final Year Project

The Final Year Project (FYP) comprises of two courses:

  • Honours Project I / Capstone Project I: Research Methods and Proposal
  • Honours Project II: Research Report / Capstone Project II: Project Output

The FYP focuses on exposing students to essential knowledge and skills for conducting research or capstone projects.

Electives / Minor

From the electives/minor domain, students can freely take courses offered by any academic departments of the University to suit their career aspirations and interests. Minors such as Coding, Design and Technology, Creativity and STEM/STEAM, and Design of STEM Lessons are related to the programme, details will be available after the admission of the programme.

General Education

From the general education domain, students can broaden their intellectual horizon by making connections among different areas of knowledge and between their formal studies and life outside the classroom, and strengthening their capacity for sound thinking and good judgement.

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Language Enhancement

Students in the programme are expected to develop the ability to communicate effectively in English and Chinese (including Putonghua). To assist them in meeting this goal, the Centre for Language in Education (CLE) will offer a comprehensive package of mandatory credit-bearing and mandatory non-credit bearing language enhancement activities, which comprise two 3-cp English courses and one 3-cp Chinese course.

Medium of Instruction

The programme will mainly be conducted in English. All Major courses will be taught in English. For some non-Major courses, Putonghua or Cantonese will be adopted as the medium of instruction when the language is considered to be most effective for teaching.

Career Prospects/Professional Qualifications

This programme prepares graduates to be capable of taking up technical and support positions (e.g. computer programmer, data scientist, IT technician, software developer, e-learning resources designer, educational technology support, as well as teaching assistant in schools, publishing, community and social services, government and non-government organizations), with the possibility to progress further to senior positions like systems analyst and educational technology manager. Graduates can also pursue postgraduate study in the field of AI, education or information technology.

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As the 2022/23 academic year is the beginning of the 2022/23 - 2024/25 triennium for which the allocation of UGC-funded places is still subject to the Government's approval, the number of intake places is indicative only and subject to changes or confirmation.

Disclaimer
Every effort has been made to ensure that information contained in this website is correct. Changes to any aspects of the programmes may be made from time to time due to unforeseeable circumstances beyond our control and the University reserves the right to make amendments to any information contained in this website without prior notice. The University accepts no liability for any loss or damage arising from any use or misuse of or reliance on any information contained in this website.

Any aspect of the course and course offerings (including, without limitation, the content of the course and the manner in which the course is taught) may be subject to change at any time at the sole discretion of the University. Without limiting the right of the University to amend the course and its course offerings, it is envisaged that changes may be required due to factors such as staffing, enrolment levels, logistical arrangements and curriculum changes.