Universities are increasingly looking into self-service systems with intelligent digital agents to supplement or replace labor-intensive services, such as academic counseling. The Open University of Hong Kong has developed an intelligent online system that instantly responds to enquiries about career development, learning modes, program/course choices, study plans, and graduation checks. The intelligent counseling system (the i-Counseling System) was developed under the Center for Innovation initiative funded by the Hong Kong Government in order to provide an effective 24 x 7 academic counseling service to help prospective and current students plan their studies. The online system uses an animated character with multilingual, text-to-speech, and natural language capabilities as a front end for sophisticated search and information retrieval. In this article, the authors describe the design concepts and features of the i-Counseling System.
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Monitoring the use of web technology in teaching and learning activities at an institutional level can provide universities with valuable data to guide policy decision-making for eLearning support services. Like many other universities, The Chinese University of Hong Kong has centralized support to teachers and students through the provision of eLearning platforms, and training and educational advice on eLearning strategies. The paper examines how the logs kept in the centralized platforms support the University in monitoring eLearning at an institutional level. The logs provide information on three common areas of interest concerning web use: its popularity, nature of use and the engagement of the participants. The paper also illustrates, with data from the University, the analysis and reporting that can be done with the logs to enrich our understanding of the University's eLearning in these three areas.
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The educational opportunities that global learning offers have stimulated a great deal of interest and initiatives from educational institutions all over the world. However, these institutions face significant challenges in programme design and delivery. Among the challenges are the development of teaching, learning and assessment modalities that recognise different learning styles and preferences of students from diverse cultural groups. This paper explores instructional design principles from both theoretical and practical perspectives. Based on the design guidelines, the authors look at issues related to the design, implementation and evaluation of courses and learning programmes offered by educational institutions in Hong Kong.
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There will almost always be a number of students who are reluctant to actively contribute in face-to-face learning situations because they are shy or are culturally concerned about potential loss of face. Audience Response Systems (ARS) are part of a technology that, principally through its feature of anonymity, offers the opportunity for all students to safely contribute in face-to-face learning situations via individual keypads. Greater feedback from a group of learners poses benefits for both learner and teacher. For the teacher it can help identify areas where student understanding may be weak or incorrect and thus allow appropriate feedback to be applied. For the learner it allows them to see how fellow students are coping and to gauge their own relative performance. This paper reports on the use of an ARS with a group of students in Hong Kong studying a second year undergraduate decision support course. The ARS was used to provide process support for a revision session that explored decision support systems (DSS) and decision making and also to gather some details about the students as a population of learners.
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