Parallel Session 9
Room: N212
Oct. 17
Timings/
Sub Themes
13:00-14:30
Narend
Baijnath
Titles of Papers
Narend Baijnath
University of South Africa
Reconfiguring the Organisational Architecture of the Mega-university for the Digital Age
Cen Hongxia
Zhejiang Radio &TV University,
Empirical Analysis on English Learning Process and Influence Factors under the Background of the
China
Open University
Open University Malaysia
Conversational Based Intelligent Cognitive Tutor for Problem-based Learning: The Way Forward In
Sub Theme 3
Chair:
Authors' Institutions
Presenter’s Names
Nantha
Kumar
Subramaniam
Active Learning
Xia Qun
South China Normal University
Educational Institution Tutor Analysis and Suggestions
Sheng Hung Chung
Wawasan
Development of Mobile Learning Content Using Concept Map and Collaborative Learning Objects
Open
University,
Malaysia
Johan Hendrikz
in ODL Environment
University
of
Pretoria,
South
Africa
Educational Technology Changes in Africa and Its Impact on Open and Distance Learning
Programme Delivery: The Case of the University of Pretoria, South Africa
14:30-15:00
Break
Leona Ungerer
University of South Africa
Curation as Core Competency in Current Learning and Literacy
Wang Xiaonan
Shanghai Open University Urban
The Cultivating and Promoting of the China Open University Core Competitiveness
Public
Security
Management
College, China
Lusi
Rachmiazasi
Masduki
Unit
Program
Learning-Open
Distance
University,
The Research Innovation of Learning Mathematics with an Interactive Compact Disk in an
Elementary School as the Introduction of Distance Learning
Indonesia
15:00-17:15
Sub Theme 6
Liu Jiasu
Xiqing
Branch,
University, China
Tianjin
Open
The Research on Developing Non-academic Education in the Open Education Teaching Mode
Chair:
Antoinette van der
Stellenbosch University, South
Writing a Chapter in the New South African Educational Story: Measuring the Impact of the
Narend
Baijnath
Merwe
Africa
Telematic Support Intervention in Schools
Hui Zhu
University of Warwick, United
Constructivist Computing—A New Paradigm for Open and Distance Learning?
Kingdom
Wang Zhijun
Elsa Wen-Ying Hsu
Ace Rachman
Beijing Normal University, China /
A Conceptual Framework on Cognitive Engagement for Connectivist Learning: Interaction Principle
Athabasca University, Canada
Based Connectivism
Open University of Kaohsiung,
Building an Open Education System for a Diverse Immigrant Society: Concept, Framework, and
Taiwan
Strategy
Universitas Terbuka, Indonesia
Marketing Strategy of Universitas Terbuka
Oct. 18
Timings/
Sub Themes
Presenter’s Names
Danny S N Wong
Sub Theme 2
Janine Lim
Chair:
S
Open University of Hong Kong,
Titles of Papers
Learner Engagement and Motivation: A Study of Distance Learning Students in Hong Kong
China
9:15- 10:30
Danny
Authors' Institutions
N
Wu Huayi
Andrews
University,
United
An Investigation of the Relationship Between Student Activity Patterns and Successful Course
States
Completion in Self-Paced Distance Courses
Yunnan Open University, China
Study on Practical Teaching Quality Guarantee and Monitoring System of Open Universities Based
Wong
on Higher Vocational Education
Fu Huashi
Hangzhou Radio & TV University,
Theoretical and Practical Research on Training Distance Education Students’ Ability of Graphic
China
Expression
10:30-11:00
Break
Lin Liqin
Xiamen Radio & TV University,
China
Analysis on the Personalized Teaching Mode of Open Education
Joane Serrano
11:00-12:15
Danny
Wong
Ding Lihua
S
of
the
Philippines
Enhancing Quality in Online Class Collaboration Through Peer Evaluation
Open University
Sub Theme 2
Chair:
University
N
Zhejiang Radio & TV University,
Research on the Professional Ethics Education and Talents Training of Accounting Specialty
China
Sharker Md Numan
Bangladesh Open University
Student Enrolment Trend at Bangladesh Open University and Its Projection: Challenges and
Measures
Ju Xianghong
Zhejiang University / Zhejiang
The Analysis of Influencing Factors about Migrant Workers’ Willingness to Participating in
Radio & TV University, China
Continuing Education Based on the Verification of Logistic Regression Model