CMSC5719 Seminar on Big Education in the Era of Big Data

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Extra Credit Assignments

2016-17 Term 1

Lecture I
Time Tuesday, 7:00 pm - 9:00 pm
Venue Rm108,
Productivity Training Institute
(HKPC Building, 78 Tat Chee Avenue, Kowloon)

The Golden Rule of CMSC5719: No member of the CMSC5719 community shall take unfair advantage of any other member of the CMSC5719 community.

Course Description

Big Education is the convergence of Big Data in education as these are two hot topics of intense research and discussion in recent years. In particular, with the advent of Massive Open Online Course (MOOC), University Open Online Course (UOOC), Small Personal Online Course (SPOC), flipped classroom, etc., these novel online courses are providing quality education to the masses, and are fueling a transformative change with the use of technology. In this talk, I plan to introduce how Big Education can produce potentially relevant and positive teaching and learning experiences for the educators and students. We will also examine some technologies, e.g., machine learning, game theory, etc., that are being used to support these changes in education. With the analytics being collected, we will be able to deliver better values to various stakeholders, e.g., identify at-risk students, help educators to teach more effectively, etc. Moreover, I will introduce a project that is being funded by the Hong Kong SAR Government named, Knowledge and Education Exchange Platform (KEEP). The KEEP portal is a knowledge aggregator and technology integrator that provides access to educational resources anytime, anywhere, on any devices to anyone.

Learning Objectives

Learning Outcomes

Learning Activities



  1. The assessment of this course will be divided into 2 parts, homework (80%) and attendance (20%)
  2. You have to attend at least 10 out of 12 seminars and hand in at least 8 homework.
  3. Please sign on the attendance list before 8:00p.m. every lesson. Students who have not signed on the attendance list will be treated as absent.
  4. Homework needs to be handed in before 8:00p.m. of next lecture. Marks will be deducted for late submission.


Lecturer Tutor
Name Irwin King Mr. ZONG Wen
Office Rm 908 N.A.
Telephone 3943 8398
Office Hour(s) * M3, Monday 10:30 am - 11:30 am

* T3, Tuesday 10:30 am - 11:30 am

Note: This class will be taught in English. Homework assignments and examinations will be conducted in English.


The pdf files are created in Acrobat 6.0. Please obtain the correct version of the Acrobat Reader from Adobe.

Week Date Topics Tutorials Homework & Events Resources
1 07/9 Big Education in the Era of Big Data


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