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Article
Publication date: 19 April 2024

Ean Teng Khor and Dave Darshan

This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised…

Abstract

Purpose

This study leverages social network analysis (SNA) to visualise the way students interacted with online resources and uses the data obtained from SNA as features for supervised machine learning algorithms to predict whether a student will successfully complete a course.

Design/methodology/approach

The exploration and visualisation of the data were first carried out to gain a better understanding of the students, the course(s) each student was enrolled in and each course’s virtual learning resources. Following this, the construction of the social network graphs was performed to depict how each student behaved online before the degree centralities were computed for each of the nodes in a social network graph. Data pre-processing to assign labels based on the final result a student obtained in a course was then performed before we trained and tested models to predict which students did or did not graduate.

Findings

The study’s findings demonstrate that the constructed predictive model has good performance, as shown by the accuracy, precision, recall and f-measure metrics. The outcomes also showed that students’ use of online resources is a crucial element that influences how well they perform in their academics.

Originality/value

The similarity index is as low as 9%.

Details

The International Journal of Information and Learning Technology, vol. 41 no. 2
Type: Research Article
ISSN: 2056-4880

Keywords

Article
Publication date: 24 February 2022

Ean Teng Khor

The purpose of the study is to build predictive models for early detection of low-performing students and examine the factors that influence massive open online courses students'…

276

Abstract

Purpose

The purpose of the study is to build predictive models for early detection of low-performing students and examine the factors that influence massive open online courses students' performance.

Design/methodology/approach

For the first step, the author performed exploratory data analysis to analyze the dataset. The process was then followed by data pre-processing and feature engineering (Step 2). Next, the author conducted data modelling and prediction (Step 3). Finally, the performance of the developed models was evaluated (Step 4).

Findings

The paper found that the decision trees algorithm outperformed other machine learning algorithms. The study also confirms the significant effect of the academic background and virtual learning environment (VLE) interactions feature categories to academic performance. The accuracy enhancement is 17.66% for decision trees classifier, 3.49% for logistic regression classifier and 4.89% for neural networks classifier. Based on the results of CorrelationAttributeEval technique with the use of a ranker search method, the author found that the assessment_score and sum_click features are more important among academic background and VLE interactions feature categories for the classification analysis in predicting students' academic performance.

Originality/value

The work meets the originality requirement.

Details

The International Journal of Information and Learning Technology, vol. 39 no. 2
Type: Research Article
ISSN: 2056-4880

Keywords

Open Access
Article
Publication date: 1 September 2010

Ean-Teng Khor and Sheng-Hung Chung

The paper aims to describe dynamic presentation generator that presents the same content in different ways through different media object and presentation layouts. The different…

1365

Abstract

The paper aims to describe dynamic presentation generator that presents the same content in different ways through different media object and presentation layouts. The different media presentation will then display to student via Learning Management Systems (LMS). The paper also presents SCORM Compliant Learning Objects and Conceptual Model Instance (CMI). The prototype is then evaluated to demonstrate the performance of the students where the CMI data are collected for each student. The data collected include media preference, test score and time spent to study the Computer Programming subjects. The results show that with more media object used, students spent more time on the Webpages. However, the results also showed that using more media object may not produce better results in the assessment.

Details

Asian Association of Open Universities Journal, vol. 5 no. 2
Type: Research Article
ISSN: 1858-3431

Keywords

Open Access
Article
Publication date: 1 December 2015

Ean Teng Khor*

Virtual collaborative learning has been gaining in popularity in open and distance learning (ODL) over the last decade. In collaborative learning environments, the instructors…

1563

Abstract

Virtual collaborative learning has been gaining in popularity in open and distance learning (ODL) over the last decade. In collaborative learning environments, the instructors facilitate and initiate discussion on particularissues of concern. Students are given the chance to share their knowledge in a way theyhave not been used to and the possibility of participating in a coordinated effort to solve problems together. A preliminary study showed that collaborative learning activities enhancedstudent satisfaction, achievedthe course learning outcomes and encouragedgroup participation. Peer-to-peer interaction has been shown to be successful and can be engaged in during collaborative learning activities. Wiki is widely promoted as a virtual collaborative tool and has been integrated into several learning management systems. However, there are only limited studies on the effectiveness of moodle-wiki for virtual collaborative learning. Therefore, the aim of this study is to evaluate the effectiveness of moodle-wiki in terms of students' perceptions and performance. The data collected were analysed and evaluated, and the statistical results demonstrate that the students hadpositive perceptions of moodle-wiki and the collaborative tool enhanced their learning performance. This study will be useful for instructors and course designers as a guide to investigating students' perceptions and evaluating the effectiveness of a collaborative tool. The findings of this research are also useful for stakeholders to maximize students' academic learning achievement.

Details

Asian Association of Open Universities Journal, vol. 10 no. 2
Type: Research Article
ISSN: 1858-3431

Keywords

Open Access
Article
Publication date: 1 September 2011

Sheng-Hung Chung and Ean-Teng Khor

This paper describes the architecture of using the Mobile Agent and ACID (Atomicity, Consistency, Isolation and Durability) in Mobile e-Learning (mLearning). In the coming years…

1612

Abstract

This paper describes the architecture of using the Mobile Agent and ACID (Atomicity, Consistency, Isolation and Durability) in Mobile e-Learning (mLearning). In the coming years, there will be an incremental amount of mobile learning experiments for the purpose of implementing mobile ICTs into mainstream education. In this article, the Replication Agent and Snapshot Agent architecture is proposed as an effective way to overcome the problem of heavy loading on the limited bandwidth used in wireless transmission for mobile learning environment merge replication process. The implementation of mobile agents as middleware for mLearning environment is to provide database replication between learners and off-site database e.g., Knowledge Management Centre's (KMC) databases using handheld devices. The approach using the combination of both these agents plays an important role in wireless transmission. It provides an intelligent solution to the limitation of the wireless bandwidth by lowering the bandwidth taken up during the bursts of mobile transactions. In this proposed technique, a mLearning database is determined as a Snapshot publisher where a compact edition of files and information is generated at the snapshot location which resides on the central database server. Learners may retrieve quick bursts of information through mobile applications wirelessly. The Replication Agent offers the flexibility to move from one site (user) to another (central database) for essential data synchronization. In order to provide learners with appropriate courses, a prototype on mLearning platform supporting three-layered structure and device adapting was put forward. The architecture of the platform discussed in this study as the mobile agent approach would facilitate more widespread use of mLearning, including in courses discussions between learners and academicians.

Details

Asian Association of Open Universities Journal, vol. 6 no. 1
Type: Research Article
ISSN: 1858-3431

Open Access
Article
Publication date: 1 September 2014

Ean-Teng Khor

The sharable content object reference model (SCORM) has become one of the important specifications forcontent packaging and platform development in open and distance learning…

1239

Abstract

The sharable content object reference model (SCORM) has become one of the important specifications forcontent packaging and platform development in open and distance learning (ODL). SCORM-compliant learning objects(SCLO) areknowledge repositories that have been meta-tagged for SCORMcompliance.SCLO can be easily interoperated among different learning management systems (LMS) without being tied to a single content provider or authoring tool. The content can last longer because it is easier to justify ongoing compatibility with standard content. The purpose of this research is to examine student acceptance of SCLO. The involvement of students wasimportant for a successful content delivery process. Therefore,students'acceptance behavior should be assessed as this reflects whethertheywill eventually adopt SCLO in their learning. Data were collected through Davis's extended technology acceptance survey instrument. The data collected werefurther analysed and evaluated. The results of thisstudy are useful for instructors and course designers with respect to the use of SCLO in their respective courses or anycontent deliveryprocess.

Details

Asian Association of Open Universities Journal, vol. 9 no. 1
Type: Research Article
ISSN: 1858-3431

Keywords

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