The purpose of this paper is to report on the development of the first online self-directed inventory on the measurement of academic programme preferences (MAPP) for potential students at the Open University of Hong Kong (OUHK). In this study, trait-factor theory and personality type theory were employed. 1,963 respondents in Hong Kong were surveyed using a multi-stage stratified cluster sampling technique. The inventory, consisting of 132 items, was developed and eight personal attributes were found: Influential , Enterprising , Social , Helping , Explorative , Technological , Logical , and Reflective . The minimum desirability of each of these attributes for all programmes offered at the OUHK was assessed by course administrators. Students' ratings on the eight personal attributes were evaluated against the minimum ratings, based on a nine-point scale, to determine their academic preferences. A computer-assisted multidimensional MAPP was set up online in both English and Chinese and was linked to the University's homepage. By completing the MAPP online, distance learners could obtain their personal profiles and a list of suggested OUHK programmes instantaneously. Connected to the University's aim to foster lifelong learning, the MAPP is expected to ease the academic selection process and reduce the number of dropouts by enhancing students' success with their chosen programmes.
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http://dx.doi.org/10.1080/0158791032000127482]

Based on a sociocultural perspective, this study investigated the learning experiences of a selected group of older adults learning computing technologies at a social center in Hong Kong. Data generated from in-depth interviews were used to develop a model of evolving motivation that explains how this group of "anxious novices" had gradually developed into "motivated experts" capable of showcasing their computing achievement to the public. The model highlights the significance of social supports derived from various social contexts in helping older adults make sense of their learning and develop lasting interest in computing technologies.
[Copyright of Educational Gerontology is the property of Routledge. Full article may be available at the publisher's website:
http://dx.doi.org/10.1080/03601270701763845]

Later life learning (LLL) has a profound beneficial effect on older adults; therefore, it is important to assess older adults' learning needs. A representative random sample of 1,867 soon-to-be older adults (between 45 and 59 years of age) were assessed for their interest in formal learning after their retirement or when they become 60 years old. We examined their preferences for courses and identified the socioeconomic and health-related characteristics related to their planned participation in formal LLL. About 38% of these respondents expressed an interest in formal learning after retirement; the most popular three content courses included computers, interest classes, and physical exercise. Those who did not plan to commit themselves to formal LLL indicated "no interest" and "lack of time" as the most frequently reported reasons for not wanting to participate in LLL. Moreover, we found that LLL was positively related to socioeconomic indicators including education, income, and retirement protection; whereas those who received financial support from adult children or from the government (in the form of welfare) were less likely to express interest in formal LLL.
[Copyright of Educational Gerontology is the property of Routledge. Full article may be available at the publisher's website:
http://dx.doi.org/10.1080/03601270390231157]