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Department of Mathematics and Information Technology

Bachelor of Science (Honours) in Artificial Intelligence and Educational Technology

Programme Code / JUPAS Code

A4B095 / JS8714

Study Mode

Full-time

Normal Period of Study

4 Years (for Year 1 Entry)

2 Years (for Senior Year Admissions)

Programme Leader

Dr CHAN Tse Tin David

Programme Enquiry

Dr CHAN Tse Tin David

(852) 2948 7864

tsetinchan@eduhk.hk

Admission Enquiry

(852) 2948 6886

Submit Your Enquiry

Download Leaflet

Download Leaflet

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.

 

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.

Programme Structure

Domain

Credit Points (cps)

Year 1 Admissions

Senior Year Admissions

Major

 

 

Major Core

33

15

Major Electives

6

6

Cross-Faculty Core Course

3

3

Living and Working in Our Country

3

/

Major Interdisciplinary Course

3

3

Internship

6

6

Final Year Project

 

 

Honours Project / Capstone Project

6

6

Second Major / Minor(s) / Electives

30

15

General Education

22

6

Language Enhancement

9

/

Total:

121

60

Notes:

(1) Classes will be held in Tai Po Campus and Tseung Kwan O Study Centre / North Point Study Centre / Sports Centre / Kowloon Tong Satellite Study Centre as decided by the University.

(2) Students admitted into this programme are required to visit the Greater Bay Area (GBA) and/or other parts of Mainland China. The programme may also require students to participate in other non-local learning experience for completion of the programme. While the visits are subsidised, students are required to contribute part of the estimated cost of the visits ("students’ contribution"), whereas any personal entertainment, meals expenses, travel document fee and personal insurance costs shall be at students’ own expense. The estimated cost of the visits and students’ contribution for students admitted to the coming cohort is yet to be available due to a variety of factors such as inflation of cost of the visits, trip duration, traveling expenses, the exchange rate, etc.

(3) Second Major is not applicable for Senior Year Admissions.

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.

The Cross-Faculty Core Course (CFCC) will comprise 3 individual components with 1 credit point each and separately assessed with the aim to widen students’ horizon and look beyond Hong Kong. In Component I, lectures with topics related to Basic Law / National Security will be arranged; in Component II, students will have the opportunities to undertake visits in Greater Bay Area; in Component III, a variety of themes which are linked to the University’s development niche areas will be offered by Faculties.

List of Major Courses

Major Course(s)
  Major Core

  * Major core courses required for Year 1 Admissions only

  ^ Major core courses required for both Year 1 Admissions and Senior Year Admissions
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 ^
  Major Electives

  (Choose two out of the seven courses)
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
 Designing STEM Activities with Integrated Engineering and Mathematics #
  Living and Working in Our Country Introduction to Educational Technology and Its Applications in Mainland China
  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.

Guidelines for Employers

Second Major / Minor(s) / Electives

Students can choose a wide range of courses offered by the University as Second Major, Minor(s) and/or electives to suit their career aspirations and interests. Below are the options for students’ choice in the Electives domain (30 cps for Year 1 Admissions / 15 cps for Senior Year Admissions):

• Free electives

• Second Major (30 cps; only applicable to Year 1 Admissions)

• One / two Minors (15 cps for each)

• Any combination of the above

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.

General Education

For detailed information and the course synopsis about General Education courses, please visit the website at www.eduhk.hk/geo.

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, amounting to no less than 297 hours of taught courses and documented self-access study. This comprises 138 hours of English (including two 3-cp courses), 99 hours of Chinese (including one 3-cp course), and 60 hours of Putonghua, over the four years of the programme. The language enhancement package requires students to make use of the Arthur Samy Language Learning Centre (ASLLC) and related facilities available on the Tai Po campus.

Students may be exempted from selected Chinese, English or Putonghua courses in the package if they have fulfilled the exemption criteria of individual courses.

Non-Cantonese-speaking Chinese students will be required to study two non-credit bearing Cantonese courses. English-speaking students can study Cantonese and Putonghua courses.

Senior year entry students will be exempted from the language enhancement courses.

Career Prospects/Professional Qualifications

This programme prepares graduates to pursue technical and support positions across various sectors, such as AI engineers, data scientists, software engineers, e-learning developers, educational technology specialists, and teaching assistants. Graduates can find opportunities in the IT industry, schools, educational technology companies, IT-related positions in various industries, as well as government and non-governmental organisations.

 

With experience, graduates have the potential to advance to leadership roles such as systems analysts and educational technology managers. Additionally, the programme provides a strong foundation for graduates who are interested in pursuing postgraduate studies in artificial intelligence, education, or information technology.

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 the most effective for teaching.

 

Disclaimer

Any aspect of the courses and course offerings (including, without limitation, the contents 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 if necessary. Without limiting the generality of the University’s discretion to revise the courses and course offerings, it is envisaged that changes may be required due to factors including staffing, enrolment levels, logistical arrangements, curriculum changes, and other factors caused by change of circumstances. Tuition fees, once paid, are non-refundable.

In the event of inconsistency between information in English and Chinese versions or where an interpretation of the programme content is required, the decision of the University shall be final.

Programme Code / JUPAS Code

A4B095 / JS8714

Study Mode

Full-time

Normal Period of Study

4 Years (for Year 1 Entry)

2 Years (for Senior Year Admissions)

Programme Leader

Dr CHAN Tse Tin David

Programme Enquiry

Dr CHAN Tse Tin David

(852) 2948 7864

tsetinchan@eduhk.hk

Admission Enquiry

(852) 2948 6886

Submit Your Enquiry

Download Leaflet

Download Leaflet