Page 83 - Undergraduate Research Opportunities Program Proceedings 2017-18

School of Engineering
Department of Computer Science & Engineering

Supervisor: WONG Raymond Chi Wing / CSE
Student: CHEUNG Tsz Him / COMP Course: UROP2100, Spring

E-learning opens up a lot of possibilities for students by customizing individual learning experience. One of the
customizations can be the generation of different study pathways (different order to study some concepts). For example,
in computer science context, student can either learn the topic about primitive type, then variables, then object; or they
can learn the topic about object, then primitive type, then variables. It is believed that customized study pathway can
lead to better learning experience and efficiency. However, study pathway generation is not straightforward, as it
involves a huge number of orders to study the concepts. In order to reduce the search space, this report presents a
diversification approach to select some most diversified sequences, simplifying the process of selecting the best
pathways for students.

Supervisor: WONG Raymond Chi Wing / CSE
Student: DENG Yuqing / COMP Course: UROP1100, Spring

In the revolution of education, the traditional teaching that only happens in the classroom is gradually being replaced by
online teaching. However, the limitation of communications and interactions between instructor and students is posed
by e-learning as well. In order to give better feedback to both students and instructors, we implemented a feedback
page in our system. Based on the idea of dependency of learning objects within a course, recommendations can be
generated by recognizing highly dependent relationship between learning concepts. Continuing previous students and
staffs’ work, this project puts main focus on expanding the functionalities in the feedback page which provides advice on
e-learning platform.

Supervisor: WONG Raymond Chi Wing / CSE
Student: GU Qiao / ELEC Course: UROP1100, Fall

Massive Online Open Courses(MOOC) has induced a significant impact on today’s learning pattern, and an enormous
amount of data is generated about the students’ performance on these courses, which can provide important and useful
information to improve the education quality. By mining on students’ performance on learning objects defined for each
course, knowledge about the inner-correlation of the course structure can be discovered and thus recommendation
about study patterns can be made for both students and instructors. In this phase of the project, the focus is basically on
the integration of the previous work and the implementation of a new system as the instructor interface to achieve the
visualization of the discovered knowledge.

Supervisor: WONG Raymond Chi Wing / CSE
Student: LU Xiuyuan / COMP Course: UROP1100, Fall

Massive Online Open Courses(MOOC) has greatly affected on today’s education patterns, which can be regarded as a
revolution. However, right now, most learning platforms have fixed the learning paths for students, which greatly limits
the outcome. To provide students with personalized education in accordance with their specific conditions, the concept
of self-paced learning is born. After analyzing students’ current study situation, the system will recommend the most
suitable pathway to them, which hopefully can improve students’ performance. Last year Mr. CHEUNG, Tsz Him
designed a demo system for this concept. And Miss ZHANG, Ziyan design the dynamic learning system used for online
learning programs. This project focuses on implementing Miss ZHANG’s scoring system into the demo system.

73