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Liyana Shuib

University of Malaya, Malaysia, Faculty of Computer Science and Information Technology, Faculty Member

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Liyana Shuib obtained her Master of Information System (Data Mining) from Universiti Kebangsaan Malaysia in 2005 and a Ph.D. from the University of Malaya, Malaysia in 2013 respectively. She is a Senior Lecturer at the Department of Information Systems, Faculty of Computer Science

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Krisztina Szegedi

Budapest Business School

Augusto Bargoni

Brunel University

Dr. Md. Shamim Hossain

Hajee Mohammad Danesh Science & Technolgy University, Bangladesh

Maria Cristina Aiezza

Istituto Universitario Orientale, Napoli, Italy

Chitra S De Silva Lokuwaduge

Victoria University, Melbourne

Navitha Singh Sewpersadh

University of Cape Town

ISCAP

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Papers by Liyana Shuib

Exploring Social Media and Organisational Sustainability Performance Goals: Themes, Functional Areas, and Practices Learning from the Preceding Decade

Sustainability

Enterprises have increased their involvement in sustainability because of social and ecological t... more Enterprises have increased their involvement in sustainability because of social and ecological trends and quickly changing settings. The large-scale environmental influence in attaining sustainability is a serious problem for organisations. Organisations are coping with various negative environmental challenges, and social media is one of the driving forces involved in dealing with this difficulty owing to the enormous number of users of social media. Organisations embrace social media to accomplish various goals, such as information sharing, connection building, brand development, boosting awareness, and gathering customer insights. In addition, social media is a critical factor in influencing organisational sustainability performance on an individual and group level. This paper aimed to examine social media and organisational sustainability performance goals, namely themes, functional areas, and practices in the age of social networking. Identifying the goals and themes provided ...

Learning Style Based Information Seeking Tool (LSIST)

Aplikasi Teknik Pendiskritan Dalam Perlombongan Data

Pendiskritan data merupakan kaedah pra-pemprosesan yang penting dalam membangunkan model pengelas... more Pendiskritan data merupakan kaedah pra-pemprosesan yang penting dalam membangunkan model pengelasan. Teknik pendiskritan data digunakan untuk menukarkan atribut selanjar kepada atribut diskrit. Ia sangat penting dalam membangunkan model berasaskan petua seperti pepohon keputusan dan set kasar. Penggunaan teknik pendiskritan dapat meningkatkan ketepatan pengelas dan menjadikan pembelajaran lebih tepat dan laju. Objektif kajian ini ialah untuk mengaplikasikan teknik pendiskritan data yang terpilih ke atas empat set data daripada UCI Machine Learning dan membuat perbandingan prestasi berdasarkan ketepatan pengelas, bilangan petua dan panjang petua. Teknik pendiskritan yang digunakan ialah teknik Taakulan Boolean, Equal Frequency Binning dan Entropi. Setiap teknik ini diaplikasikan ke atas empat set data dari domain yang berbeza untuk mendapatkan satu teknik yang terbaik. Set data tersebut ialah Iris, Glass, Pima dan Wine. Model pengelasan perlombongan data dibangunkan menggunakan kaedah pengelas set kasar melalui beberapa proses seperti pra-pemprosesan data, pembahagian set data latihan dan ujian, perlombongan data, pengujian dan perbandingan. Satu analisis perbandingan ke atas teknik pendiskritan yang digunakan dihasilkan. Hasil analisis mendapati penggunaan teknik Taakulan Boolean menggeneralisasikan purata ketepatan yang tertinggi jika dibandingkan dengan dua teknik yang lain.

Predicting Student Attrition in Higher Education through the Determinants of Learning Progress: A Structural Equation Modelling Approach

Sustainability

Higher education policies are designed to facilitate students’ learning progression and academic ... more Higher education policies are designed to facilitate students’ learning progression and academic success. Following Tinto’s integration theory and Bean’s attrition model, this study proposes a research model to investigate whether students prone to attrition can be pre-emptively identified through self-evaluating academic factors contributing to their learning progress. Theoretically, the learning progress is identified with student success, represented by factors amenable to intervention including the interaction with peers and instructors, teaching effectiveness, exam scores, absenteeism, students’ effort, and academic course-related variables. An exploratory and confirmatory factor analysis of 530 undergraduate students revealed that the indicators of learning progress in such students were channeled into two constructs. The results indicated that the teacher effectiveness and learning materials contributed most to the learning progress. Structural equation modelling revealed tha...

Adaptive feedback in computer-based learning environments: a review

Adaptive Behavior, 2017

Adaptive support within a learning environment is useful because most learners have different per... more Adaptive support within a learning environment is useful because most learners have different personal characteristics such as prior knowledge, learning progress, and learning preferences. This study reviews various implementation of adaptive feedback, based on the four adaptation characteristics: means, target, goal, and strategy. This review focuses on 20 different implementations of feedback in a computer-based learning environment, ranging from multimedia web-based intelligent tutoring systems, dialog-based intelligent tutoring systems, web-based intelligent e-learning systems, adaptive hypermedia systems, and adaptive learning environment. The main objective of the review is to compare computer-based learning environments according to their implementation of feedback and to identify open research questions in adaptive feedback implementations. The review resulted in categorizing these feedback implementations based on the students’ information used for providing feedback, the a...

A Survey on Mobile Learning for Adult Learners: State-of-the-Art, Taxonomy, and Challenges

IEEE Access

Adult learner performance has become a significant challenge in education. Adult learners are ide... more Adult learner performance has become a significant challenge in education. Adult learners are identified as being of productive age in engaging with multiple commitments, including studying. The multiple engagements make managing their time and focus difficult, contributing to a high institutional dropout rate. This situation has reduced the number of highly skilled and professional workers in the country because of the failure to meet academic requirements. In the current digital world, every aspect of education includes some technology elements. However, most adult learners are reluctant to utilize mobile technology for learning. Therefore, this review paper aims to provide state of the art on mobile learning (m-Learning) for adult learners. Considering a set of inclusion and exclusion criteria, 135 related articles from IEEE, Google Scholar, Springer Link, Science Direct, Taylor and Francis, and Wiley digital databases were extracted and reviewed. State of the art were discussed in terms of functions of m-Learning, effectiveness, and m-Learning as a tool. Keywords from articles were extracted and the taxonomy of m-Learning was discussed under five classifications (behavioural intention, technological support, educational content, learner coordination, and instructional design), representing the same meaning and features discussed in the articles. The findings can raise awareness among mobile learning practitioners to provide more effective services for adult learners. Meanwhile, higher education institutions can be better redesigned in terms of pedagogy to fit the needs of adult learners with mobile learning.

Expert Recommendation Through Tag Relationship in Community Question Answering

Malaysian Journal of Computer Science

Community Question Answering (CQA) services are technical discussion forums websites on social me... more Community Question Answering (CQA) services are technical discussion forums websites on social media that serve as a platform for users to interact mainly via question and answer. However, users of this platform have posed dissatisfaction over the slow response and the preference for user domains due to the overwhelming information in CQA websites. Numerous past studies focusing on expert recommendation are solely based on the information available from websites where they rarely account for the preference of users’ domain knowledge. This condition prompts the need to identify experts for the questions posted on community-based websites. Thus, this study attempts to identify ranking experts’ derived from the tag relationship among users in the CQA websites to construct user profiles where their interests are realized in the form of tags. Experts are considered users who post high-quality answers and are often recommended by the system based on their previous posts and associated tag...

Sentiment Attribution Analysis with Hierarchical Classification and Automatic Aspect Categorization on Online User Reviews

Malaysian Journal of Computer Science

Due to COVID-19 pandemic, most physical business transactions were pushed online. Online reviews ... more Due to COVID-19 pandemic, most physical business transactions were pushed online. Online reviews became an excellent source for sentiment analysis to determine a customer's sentiment about a business. This insight is valuable asset for businesses, especially for tourism sector, to be harnessed for business intelligence and craft new marketing strategies. However, traditional sentiment analysis with flat classification and manual aspect categorization technique imposes challenges with non-opinionated reviews and outdated pre-defined aspect categories which limits businesses to filter relevant opinionated reviews and learn new aspects from reviews itself for aspect-based sentiment analysis. Therefore, this paper proposes sentiment attribution analysis with hierarchical classification and automatic aspect categorization to improve the social listening for diligent marketing and recommend potential business optimization to revive the business from surviving to thriving after this pa...

e-BRIM Usage by B40 Citizens: The role of Citizens Trust and Computer Self-Efficacy

Electronic Government, an International Journal, 2021

Ascertain the information seeking behavior of Computer Science students

Postgraduate students of computer science have received little empirical attention from researche... more Postgraduate students of computer science have received little empirical attention from researchers in the field of Library Information Science; their information seeking behaviors often resembles those of either other faculties or undergraduates. With higher level of education and information technology background, postgraduate students of computer science ought to have a different information seeking behavior. Therefore it is interesting to explore their information seeking behaviors and to investigate to what extent they might constitute a unique user group. The objective of this research is to explore and analyze computer science postgraduate student’s information seeking behaviors. A Survey was conducted at Faculty of Science Computer and Information Technology, University of Malaya. The sample consists of 140 postgraduate students. The quantitative data were analyzed using the statistical program SPSS. The results provide an insight into how computer sciences postgraduate stud...

The Relationship between SME Owner's Personality, Facebook Usage and Organizational Performance

SMEs usage of Facebook for business is growing tremendously. Majority of the studies on Facebook ... more SMEs usage of Facebook for business is growing tremendously. Majority of the studies on Facebook usage are based on individual perspective and some are from organizational perspective. However, not many studies had investigated the actual impact of Facebook usage on organizational performance. This paper investigates the influence of personality traits of SME owners on Facebook usage and its subsequent impact on organizational performance. A total of 259 SMEs responded to the survey and the result of the survey showed that perceived desirability and openness of SME owners positively influences Facebook usage. Facebook usage also has a positive impact on both organizational financial and non-financial performances. This study provided a clearer view on the real importance of Facebook and its benefits. The results would motivate and guide organizations in the adoptio

Electronic Medical Records in Greece and Oman: A Professional’s Evaluation of Structure and Value

International Journal of Environmental Research and Public Health, 2018

An Electronic Medical Record (EMR) is a patient's database record that can be transmitted securel... more An Electronic Medical Record (EMR) is a patient's database record that can be transmitted securely. There are a diversity of EMR systems for different medical units to choose from. The structure and value of these systems is the focus of this qualitative study, from a medical professional's standpoint, as well as its economic value and whether it should be shared between health organizations. The study took place in the natural setting of the medical units' environments. A purposive sample of 40 professionals in Greece and Oman, was interviewed. The study suggests that: (1) The demographics of the EMR should be divided in categories, not all of them accessible and/or visible by all; (2) The EMR system should follow an open architecture so that more categories and subcategories can be added as needed and following a possible business plan (ERD is suggested); (3) The EMR should be implemented gradually bearing in mind both medical and financial concerns; (4) Sharing should be a patient's decision as the owner of the record. Reaching a certain level of maturity of its implementation and utilization, it is useful to seek the professionals' assessment on the structure and value of such a system.

Determining Evaluation Criteria And Sub-Criteria For E-Learning Software

Malaysian Journal of Computer Science, Sep 23, 2017

Today's demands for e-learning have led to the emergence of numerous and diverse e-Learning softw... more Today's demands for e-learning have led to the emergence of numerous and diverse e-Learning software (e-LS) products in the market. With such a myriad of choices, selecting an e-LS can be difficult. In any software evaluation process, evaluation criteria are important for correct selection to be made. However, in the case of e-LS selection, information about its evaluation criteria is lacking. Hence, a Delphi study was conducted to identify the evaluation criteria for e-LS. This paper presents the study and its results. Eleven criteria and 66 sub-criteria were identified from the literature. A questionnaire comprising the criteria as items was distributed to 31 experts in the first round. 16 sub-criteria were added by the experts. After two Delphi rounds, three criteria were considered as being extremely important and eight criteria as important. One sub-criteria was rejected as it did not achieve the majority of expert consensus. In total, 11 criteria and 81 sub-criteria were obtained from this study. The results of this study indicate that these criteria and sub-criteria are important in the evaluation of e-LS.

Knowledge Based Architecture for Mental Health Care System

International Journal of Information System and Engineering, 2018

It is important for experts to understand patient emotional state and personality traits to sugge... more It is important for experts to understand patient emotional state and personality traits to suggest intervention materials for them. Different patient might have same emotional state, but different personality; hence a tool that can help match intervention materials with the user emotional state and personality traits is needed. Intervention materials that best suit for user's personality is important as it will encourage them to follow the recommended materials. Personalization can be identified using the emotional states and personality traits. In mental health care, identifying emotional state, and matching intervention material based on personality traits, is critical for patient as it may affect their mental health condition progress and their willingness to follow the recommended materials. Therefore, it is crucial for users to be able to locate intervention material that best matches their personality traits. The objective of this paper is to develop a tool that can help retrieve intervention material based on personalization. By using a knowledge-based method, this tool will be able to help user match intervention materials that best suits their emotional state and personality. The architecture and components of the tool are discussed.

Alsdoc: Adaptive Learning Style for Document Retrieval

International Journal of Information System and Engineering, 2018

Learning can be enhanced when its learning process aligned with learner learning styles. Individu... more Learning can be enhanced when its learning process aligned with learner learning styles. Individual has different learning preferences. The consideration of learner preferences in finding document can enable a learner to obtain knowledge easily and fast where it constantly changes and shift according to learning situation and environment. Thus, the incorporation of Learning Style (LS) with adaptive learning environment is one of a method to assist novice learner in finding a suitable document and enhance the e-learning system; while it can overcome the one-size-fitsfor-all problem. The LS identification is an important component to identify the learner learning style. There are two conventional techniques to identify learners learning style, which are questionnaires and computer-based detection technique. The questionnaire involves the learner to fill up a survey explicitly. However, existing of LS identification techniques facing some major drawbacks can lead the LS tool to become static nature. The questionnaire technique d facing issues such as questionnaire too long and took long time that can make learner lack of motivation to answer the question. Moreover, the result from the questionnaire technique is fixed because it only prompts a learner to do it only one at the time. Therefore, a few researchers employed computer-based detection techniques, which use a numerous computer algorithm to determined LS. However, these techniques suffer on cold start problem, required a large amount of training data and the existing computer-based detection were not focused document as learning material. Hence, there is a need to develop an adaptive learning style identification that uses document as a learning material. This paper presents the architecture for ALSDoc, an adaptive LS identification for document retrieval. In particular, this study explained how LS is adapt to the learner that allows the retrieval the suitable document that match their LS.

Metacognitive Skilfulness of Students in Problem Solving

International Journal of Information System and Engineering, 2018

International Journal of Information System and Engineering www.ftms.edu.my/journals/index.php/jo... more

Expert Based Recommendation for Academic Event

International Journal of Information System and Engineering, 2018

With the increasing of academic event such as workshop and seminar offered by the organizer, choo... more With the increasing of academic event such as workshop and seminar offered by the organizer, choosing the right academic event to attend can be a confusing and difficult task. Thus, most of the students rely on friends and lecturer's recommendation which considered experience enough in choosing the right academic event. Transforming the idea of getting a recommendation from a person who has wide experience in academic and research fields into a recommendation technique become the purpose of this study. The recommender system with an expert recommendation will help student to find an academic event that match with their need and interest. The architecture of this recommender system is discussed.

Performance Study on Data Discretization Techniques Using Nutrition Dataset

ipcsit.com

Abstract. Data mining has been widely used in medical and health care domain as the predictive mo... more

A Scientometric Analysis on Mobile Recommender Systems

International Journal of Mobile Communications, 2020

A Framework for Mobile Learning Acceptance Amongst Formal Part-Time Learners: From the Andragogy Perspective

IEEE Access

Mobile learning is posited to be an effective learning tool for various learners. However, limite... more Mobile learning is posited to be an effective learning tool for various learners. However, limited studies have been conducted to explore formal part-time learners' behavior towards mobile learning. Therefore, this study investigated the level of acceptance of mobile learning by formal part-time learners in Malaysia. A theoretical model was developed based on the unified theory of acceptance and use of technology (UTAUT) and formal part-time learners' attributes such as self-directed learning, prior mobile learning experience, learning readiness, and orientation to learning. The developed model and hypotheses were examined using a questionnaire, and measurement and structural models were analysed using SmartPLS (v 3.2.7). The participants of the study comprised 394 formal part-time learners enrolled in five public universities in Malaysia. Finding confirmed the significant influence of self-directed learning, learning readiness, effort expectancy, performance expectancy, social influence, and facilitating conditions in predicting the mobile learning behavioral intention and usage behavior. These findings can be considered by practitioners to enhance behavioral intention towards m-learning usage. The attributes of formal part-time learners toward the usage of m-learning in public universities were properly underlined in this study. This study's main contribution would be to aid in the exploration of formal part-time learners' characteristics, which would aid m-learning practitioners in developing the necessary applications and strategies. INDEX TERMS Acceptance, andragogy, formal part-time learners, mobile learning, UTAUT.

Exploring Social Media and Organisational Sustainability Performance Goals: Themes, Functional Areas, and Practices Learning from the Preceding Decade

Sustainability

Enterprises have increased their involvement in sustainability because of social and ecological t... more Enterprises have increased their involvement in sustainability because of social and ecological trends and quickly changing settings. The large-scale environmental influence in attaining sustainability is a serious problem for organisations. Organisations are coping with various negative environmental challenges, and social media is one of the driving forces involved in dealing with this difficulty owing to the enormous number of users of social media. Organisations embrace social media to accomplish various goals, such as information sharing, connection building, brand development, boosting awareness, and gathering customer insights. In addition, social media is a critical factor in influencing organisational sustainability performance on an individual and group level. This paper aimed to examine social media and organisational sustainability performance goals, namely themes, functional areas, and practices in the age of social networking. Identifying the goals and themes provided ...

Learning Style Based Information Seeking Tool (LSIST)

Aplikasi Teknik Pendiskritan Dalam Perlombongan Data

Pendiskritan data merupakan kaedah pra-pemprosesan yang penting dalam membangunkan model pengelas... more Pendiskritan data merupakan kaedah pra-pemprosesan yang penting dalam membangunkan model pengelasan. Teknik pendiskritan data digunakan untuk menukarkan atribut selanjar kepada atribut diskrit. Ia sangat penting dalam membangunkan model berasaskan petua seperti pepohon keputusan dan set kasar. Penggunaan teknik pendiskritan dapat meningkatkan ketepatan pengelas dan menjadikan pembelajaran lebih tepat dan laju. Objektif kajian ini ialah untuk mengaplikasikan teknik pendiskritan data yang terpilih ke atas empat set data daripada UCI Machine Learning dan membuat perbandingan prestasi berdasarkan ketepatan pengelas, bilangan petua dan panjang petua. Teknik pendiskritan yang digunakan ialah teknik Taakulan Boolean, Equal Frequency Binning dan Entropi. Setiap teknik ini diaplikasikan ke atas empat set data dari domain yang berbeza untuk mendapatkan satu teknik yang terbaik. Set data tersebut ialah Iris, Glass, Pima dan Wine. Model pengelasan perlombongan data dibangunkan menggunakan kaedah pengelas set kasar melalui beberapa proses seperti pra-pemprosesan data, pembahagian set data latihan dan ujian, perlombongan data, pengujian dan perbandingan. Satu analisis perbandingan ke atas teknik pendiskritan yang digunakan dihasilkan. Hasil analisis mendapati penggunaan teknik Taakulan Boolean menggeneralisasikan purata ketepatan yang tertinggi jika dibandingkan dengan dua teknik yang lain.

Predicting Student Attrition in Higher Education through the Determinants of Learning Progress: A Structural Equation Modelling Approach

Sustainability

Higher education policies are designed to facilitate students’ learning progression and academic ... more Higher education policies are designed to facilitate students’ learning progression and academic success. Following Tinto’s integration theory and Bean’s attrition model, this study proposes a research model to investigate whether students prone to attrition can be pre-emptively identified through self-evaluating academic factors contributing to their learning progress. Theoretically, the learning progress is identified with student success, represented by factors amenable to intervention including the interaction with peers and instructors, teaching effectiveness, exam scores, absenteeism, students’ effort, and academic course-related variables. An exploratory and confirmatory factor analysis of 530 undergraduate students revealed that the indicators of learning progress in such students were channeled into two constructs. The results indicated that the teacher effectiveness and learning materials contributed most to the learning progress. Structural equation modelling revealed tha...

Adaptive feedback in computer-based learning environments: a review

Adaptive Behavior, 2017

Adaptive support within a learning environment is useful because most learners have different per... more Adaptive support within a learning environment is useful because most learners have different personal characteristics such as prior knowledge, learning progress, and learning preferences. This study reviews various implementation of adaptive feedback, based on the four adaptation characteristics: means, target, goal, and strategy. This review focuses on 20 different implementations of feedback in a computer-based learning environment, ranging from multimedia web-based intelligent tutoring systems, dialog-based intelligent tutoring systems, web-based intelligent e-learning systems, adaptive hypermedia systems, and adaptive learning environment. The main objective of the review is to compare computer-based learning environments according to their implementation of feedback and to identify open research questions in adaptive feedback implementations. The review resulted in categorizing these feedback implementations based on the students’ information used for providing feedback, the a...

A Survey on Mobile Learning for Adult Learners: State-of-the-Art, Taxonomy, and Challenges

IEEE Access

Adult learner performance has become a significant challenge in education. Adult learners are ide... more Adult learner performance has become a significant challenge in education. Adult learners are identified as being of productive age in engaging with multiple commitments, including studying. The multiple engagements make managing their time and focus difficult, contributing to a high institutional dropout rate. This situation has reduced the number of highly skilled and professional workers in the country because of the failure to meet academic requirements. In the current digital world, every aspect of education includes some technology elements. However, most adult learners are reluctant to utilize mobile technology for learning. Therefore, this review paper aims to provide state of the art on mobile learning (m-Learning) for adult learners. Considering a set of inclusion and exclusion criteria, 135 related articles from IEEE, Google Scholar, Springer Link, Science Direct, Taylor and Francis, and Wiley digital databases were extracted and reviewed. State of the art were discussed in terms of functions of m-Learning, effectiveness, and m-Learning as a tool. Keywords from articles were extracted and the taxonomy of m-Learning was discussed under five classifications (behavioural intention, technological support, educational content, learner coordination, and instructional design), representing the same meaning and features discussed in the articles. The findings can raise awareness among mobile learning practitioners to provide more effective services for adult learners. Meanwhile, higher education institutions can be better redesigned in terms of pedagogy to fit the needs of adult learners with mobile learning.

Expert Recommendation Through Tag Relationship in Community Question Answering

Malaysian Journal of Computer Science

Community Question Answering (CQA) services are technical discussion forums websites on social me... more Community Question Answering (CQA) services are technical discussion forums websites on social media that serve as a platform for users to interact mainly via question and answer. However, users of this platform have posed dissatisfaction over the slow response and the preference for user domains due to the overwhelming information in CQA websites. Numerous past studies focusing on expert recommendation are solely based on the information available from websites where they rarely account for the preference of users’ domain knowledge. This condition prompts the need to identify experts for the questions posted on community-based websites. Thus, this study attempts to identify ranking experts’ derived from the tag relationship among users in the CQA websites to construct user profiles where their interests are realized in the form of tags. Experts are considered users who post high-quality answers and are often recommended by the system based on their previous posts and associated tag...

Sentiment Attribution Analysis with Hierarchical Classification and Automatic Aspect Categorization on Online User Reviews

Malaysian Journal of Computer Science

Due to COVID-19 pandemic, most physical business transactions were pushed online. Online reviews ... more Due to COVID-19 pandemic, most physical business transactions were pushed online. Online reviews became an excellent source for sentiment analysis to determine a customer's sentiment about a business. This insight is valuable asset for businesses, especially for tourism sector, to be harnessed for business intelligence and craft new marketing strategies. However, traditional sentiment analysis with flat classification and manual aspect categorization technique imposes challenges with non-opinionated reviews and outdated pre-defined aspect categories which limits businesses to filter relevant opinionated reviews and learn new aspects from reviews itself for aspect-based sentiment analysis. Therefore, this paper proposes sentiment attribution analysis with hierarchical classification and automatic aspect categorization to improve the social listening for diligent marketing and recommend potential business optimization to revive the business from surviving to thriving after this pa...

e-BRIM Usage by B40 Citizens: The role of Citizens Trust and Computer Self-Efficacy

Electronic Government, an International Journal, 2021

Ascertain the information seeking behavior of Computer Science students

Postgraduate students of computer science have received little empirical attention from researche... more Postgraduate students of computer science have received little empirical attention from researchers in the field of Library Information Science; their information seeking behaviors often resembles those of either other faculties or undergraduates. With higher level of education and information technology background, postgraduate students of computer science ought to have a different information seeking behavior. Therefore it is interesting to explore their information seeking behaviors and to investigate to what extent they might constitute a unique user group. The objective of this research is to explore and analyze computer science postgraduate student’s information seeking behaviors. A Survey was conducted at Faculty of Science Computer and Information Technology, University of Malaya. The sample consists of 140 postgraduate students. The quantitative data were analyzed using the statistical program SPSS. The results provide an insight into how computer sciences postgraduate stud...

The Relationship between SME Owner's Personality, Facebook Usage and Organizational Performance

SMEs usage of Facebook for business is growing tremendously. Majority of the studies on Facebook ... more SMEs usage of Facebook for business is growing tremendously. Majority of the studies on Facebook usage are based on individual perspective and some are from organizational perspective. However, not many studies had investigated the actual impact of Facebook usage on organizational performance. This paper investigates the influence of personality traits of SME owners on Facebook usage and its subsequent impact on organizational performance. A total of 259 SMEs responded to the survey and the result of the survey showed that perceived desirability and openness of SME owners positively influences Facebook usage. Facebook usage also has a positive impact on both organizational financial and non-financial performances. This study provided a clearer view on the real importance of Facebook and its benefits. The results would motivate and guide organizations in the adoptio

Electronic Medical Records in Greece and Oman: A Professional’s Evaluation of Structure and Value

International Journal of Environmental Research and Public Health, 2018

An Electronic Medical Record (EMR) is a patient's database record that can be transmitted securel... more An Electronic Medical Record (EMR) is a patient's database record that can be transmitted securely. There are a diversity of EMR systems for different medical units to choose from. The structure and value of these systems is the focus of this qualitative study, from a medical professional's standpoint, as well as its economic value and whether it should be shared between health organizations. The study took place in the natural setting of the medical units' environments. A purposive sample of 40 professionals in Greece and Oman, was interviewed. The study suggests that: (1) The demographics of the EMR should be divided in categories, not all of them accessible and/or visible by all; (2) The EMR system should follow an open architecture so that more categories and subcategories can be added as needed and following a possible business plan (ERD is suggested); (3) The EMR should be implemented gradually bearing in mind both medical and financial concerns; (4) Sharing should be a patient's decision as the owner of the record. Reaching a certain level of maturity of its implementation and utilization, it is useful to seek the professionals' assessment on the structure and value of such a system.

Determining Evaluation Criteria And Sub-Criteria For E-Learning Software

Malaysian Journal of Computer Science, Sep 23, 2017

Today's demands for e-learning have led to the emergence of numerous and diverse e-Learning softw... more Today's demands for e-learning have led to the emergence of numerous and diverse e-Learning software (e-LS) products in the market. With such a myriad of choices, selecting an e-LS can be difficult. In any software evaluation process, evaluation criteria are important for correct selection to be made. However, in the case of e-LS selection, information about its evaluation criteria is lacking. Hence, a Delphi study was conducted to identify the evaluation criteria for e-LS. This paper presents the study and its results. Eleven criteria and 66 sub-criteria were identified from the literature. A questionnaire comprising the criteria as items was distributed to 31 experts in the first round. 16 sub-criteria were added by the experts. After two Delphi rounds, three criteria were considered as being extremely important and eight criteria as important. One sub-criteria was rejected as it did not achieve the majority of expert consensus. In total, 11 criteria and 81 sub-criteria were obtained from this study. The results of this study indicate that these criteria and sub-criteria are important in the evaluation of e-LS.

Knowledge Based Architecture for Mental Health Care System

International Journal of Information System and Engineering, 2018

It is important for experts to understand patient emotional state and personality traits to sugge... more It is important for experts to understand patient emotional state and personality traits to suggest intervention materials for them. Different patient might have same emotional state, but different personality; hence a tool that can help match intervention materials with the user emotional state and personality traits is needed. Intervention materials that best suit for user's personality is important as it will encourage them to follow the recommended materials. Personalization can be identified using the emotional states and personality traits. In mental health care, identifying emotional state, and matching intervention material based on personality traits, is critical for patient as it may affect their mental health condition progress and their willingness to follow the recommended materials. Therefore, it is crucial for users to be able to locate intervention material that best matches their personality traits. The objective of this paper is to develop a tool that can help retrieve intervention material based on personalization. By using a knowledge-based method, this tool will be able to help user match intervention materials that best suits their emotional state and personality. The architecture and components of the tool are discussed.

Alsdoc: Adaptive Learning Style for Document Retrieval

International Journal of Information System and Engineering, 2018

Learning can be enhanced when its learning process aligned with learner learning styles. Individu... more Learning can be enhanced when its learning process aligned with learner learning styles. Individual has different learning preferences. The consideration of learner preferences in finding document can enable a learner to obtain knowledge easily and fast where it constantly changes and shift according to learning situation and environment. Thus, the incorporation of Learning Style (LS) with adaptive learning environment is one of a method to assist novice learner in finding a suitable document and enhance the e-learning system; while it can overcome the one-size-fitsfor-all problem. The LS identification is an important component to identify the learner learning style. There are two conventional techniques to identify learners learning style, which are questionnaires and computer-based detection technique. The questionnaire involves the learner to fill up a survey explicitly. However, existing of LS identification techniques facing some major drawbacks can lead the LS tool to become static nature. The questionnaire technique d facing issues such as questionnaire too long and took long time that can make learner lack of motivation to answer the question. Moreover, the result from the questionnaire technique is fixed because it only prompts a learner to do it only one at the time. Therefore, a few researchers employed computer-based detection techniques, which use a numerous computer algorithm to determined LS. However, these techniques suffer on cold start problem, required a large amount of training data and the existing computer-based detection were not focused document as learning material. Hence, there is a need to develop an adaptive learning style identification that uses document as a learning material. This paper presents the architecture for ALSDoc, an adaptive LS identification for document retrieval. In particular, this study explained how LS is adapt to the learner that allows the retrieval the suitable document that match their LS.

Metacognitive Skilfulness of Students in Problem Solving

International Journal of Information System and Engineering, 2018

International Journal of Information System and Engineering www.ftms.edu.my/journals/index.php/jo... more

Expert Based Recommendation for Academic Event

International Journal of Information System and Engineering, 2018

With the increasing of academic event such as workshop and seminar offered by the organizer, choo... more With the increasing of academic event such as workshop and seminar offered by the organizer, choosing the right academic event to attend can be a confusing and difficult task. Thus, most of the students rely on friends and lecturer's recommendation which considered experience enough in choosing the right academic event. Transforming the idea of getting a recommendation from a person who has wide experience in academic and research fields into a recommendation technique become the purpose of this study. The recommender system with an expert recommendation will help student to find an academic event that match with their need and interest. The architecture of this recommender system is discussed.

Performance Study on Data Discretization Techniques Using Nutrition Dataset

ipcsit.com

Abstract. Data mining has been widely used in medical and health care domain as the predictive mo... more

A Scientometric Analysis on Mobile Recommender Systems

International Journal of Mobile Communications, 2020

A Framework for Mobile Learning Acceptance Amongst Formal Part-Time Learners: From the Andragogy Perspective

IEEE Access

Mobile learning is posited to be an effective learning tool for various learners. However, limite... more Mobile learning is posited to be an effective learning tool for various learners. However, limited studies have been conducted to explore formal part-time learners' behavior towards mobile learning. Therefore, this study investigated the level of acceptance of mobile learning by formal part-time learners in Malaysia. A theoretical model was developed based on the unified theory of acceptance and use of technology (UTAUT) and formal part-time learners' attributes such as self-directed learning, prior mobile learning experience, learning readiness, and orientation to learning. The developed model and hypotheses were examined using a questionnaire, and measurement and structural models were analysed using SmartPLS (v 3.2.7). The participants of the study comprised 394 formal part-time learners enrolled in five public universities in Malaysia. Finding confirmed the significant influence of self-directed learning, learning readiness, effort expectancy, performance expectancy, social influence, and facilitating conditions in predicting the mobile learning behavioral intention and usage behavior. These findings can be considered by practitioners to enhance behavioral intention towards m-learning usage. The attributes of formal part-time learners toward the usage of m-learning in public universities were properly underlined in this study. This study's main contribution would be to aid in the exploration of formal part-time learners' characteristics, which would aid m-learning practitioners in developing the necessary applications and strategies. INDEX TERMS Acceptance, andragogy, formal part-time learners, mobile learning, UTAUT.