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The purpose of this paper is to propose a soft computing model based on multi-objective evolutionary algorithm (MOEA), namely, modified micro genetic algorithm (MmGA) coupled with a decision tree (DT)-based classifier, in classifying and optimising the students’ online interaction activities as classifier of student achievement. Subsequently, the results are transformed into useful information that may help educator in designing better learning instructions geared towards higher student achievement.

A soft computing model based on MOEA is proposed. It is tested on benchmark data pertaining to student activities and achievement obtained from the University of California at Irvine machine learning repository. Additional, a real-world case study in a distance learning institution, namely, Wawasan Open University in Malaysia has been conducted. The case study involves a total of 46 courses collected over 24 consecutive weeks with students across the entire regions in Malaysia and worldwide.

The proposed model obtains high classification accuracy rates at reduced number of features used. These results are transformed into useful information for the educational institution in our case study in an effort to improve student achievement. Whether benchmark or real-world case study, the proposed model successfully reduced the number features used by at least 48 per cent while achieving higher classification accuracy.

A soft computing model based on MOEA, namely, MmGA coupled with a DT-based classifier, in handling educational data is proposed.

Recognition of prior experiential learning offers a vital contribution to supporting lifelong learning around the globe. The Malaysian government has placed great emphasis on lifelong learning in developing a knowledge society to achieve its goal of becoming a developed nation by the year 2020. Hence, the efficacy of recognition of prior experiential learning acts as a mechanism to enhance social equity and social inclusion in the Malaysian higher education context. In tandem with this, Wawasan Open University (WOU)'s vision and mission is to enculturise lifelong learning and provide access to adult learners who may have previously missed the opportunity to pursue higher education. Since its inception in 2007, WOU has developed a mechanism to review, recognise and accord validity to all prior experiential learning (PEL) of the learners. WOU's PEL comprises a series of assessment filters in three stages that are systematically utilised to gauge the learner's level of preparedness to embark on their tertiary education. These stages are (i) Certificate Attestation and Work Experience Portfolio, (ii) Diagnostic Test and (iii) a six-month HeadStart programme.

This study investigated the effectiveness of the mechanism and its assessment tools in measuring prior experiential learning of the students. The authors examined the GPA/ CGPA performance of two groups of learners. The first group consisted of those who have passed the diagnostic test and proceeded directly to undertake their degree studies. The second group comprised learners who were unsuccessful in their diagnostic test and had to undertake a six-month HeadStart programme prior to commencing their degree studies. The authors then conducted an analysis on the correlation between the Diagnostic Test results and the GPA/CGPA scores obtained. Similar correlation analysis was also carried out to examine whether learners who had undergone the six-month HeadStart programme performed better in their tertiary studies. Support services offered to these two groups of learners were also identified. The findings from this study also reveal the appropriateness of the various components embedded in the Diagnostic Test as well as the courses offered in the six-month HeadStart programme that aimed to strengthen the learners' knowledge, skills and attitudes prior to pursuing their tertiary studies.

Open Universities that subscribe to the philosophy of broadening access to higher education may explore the possibility of adopting the tested bridging programme developed by WOU for weaker Open Entry students to enhance the success rate of students and reduce attrition rate.

The dynamic business environment and powerful market forces in the 21st century are challenging leaders at open universities to compete successfully in the national and global higher education stage. The notion of quality is becoming an important and overriding issue with the paradigm shift in the education landscape due to the rapid penetration of Internet usage. Open universities are experiencing pressure from numerous stakeholders to become more client-focused, particularly in their provision of technology-enhanced education to systematically support the learning experience of open distance learners. In the pursuit of establishing institutional and national/regional-based quality assurance practices, Asian open universities should pay particular attention to one of the key components within the overall QA framework; that is, the web-based teaching and learning on the online learning management system (LMS). The assurance of quality in the web-based teaching and learning component is vital to support the effective and efficient delivery of open and distance education within the blended approach adopted by many open universities.

In this study, the authors first examine the dimensions of quality assurance of key services that are closely associated with web-based education in the online LMS of Wawasan Open University (WOU). The authors then analyse the pattern of interactions in the LMS to determine the actual activities of learners in the web-based environment. By synthesising the findings, indicators that address diverse facets and components of quality relevant to web-based teaching and learning in the LMS are identified. The authors then discuss the application of the quality components within the overall QA framework in WOU to further enhance the quality of its web-based teaching and learning component. Assessment of learners' satisfaction in WOU is carried out to determine the effectiveness of the QA components in the LMS. The QA components identified in the web-based teaching and learning within the LMS are then recommended to Asian open universities for integration into their overall QA framework.