Rosmah Ali

A Model to Assess the Usability of Enterprise Architecture Frameworks

Since the advent of Enterprise Architecture (EA), several EA frameworks have been proposed. Each EA framework has strong and weak points which can be assessed qualitatively to determine the best EA for an organization. One of the qualitative characteristics is usability of the EA framework. However, currently there is a lack of well-defined criteria to measure EA framework usability. In this paper a model is proposed to evaluate and measure the usability of EA frameworks.

Review on constraint based modelling in intelligent learning environment

Student model is a component of great importance in the intelligent learning environment. A number of student models have been proposed more than three decades ago and one of them is the Constraint Based Model. In this paper we explore how a Constraint Based Model has been applied in various intelligent learning environments. Additionally, this paper reviews the students characteristics considered in each model to make the model adaptive and personalized.

Confirming Self-Regulation Construct Items for Students Learning Statics

Learning and academic achievement are attributable to the complex cognitive phenomenon of self-regulation. There was a need to study self-regulation, a popular research area in education, on engineering students learning Statics. However, there was no specific instrument to measure self-regulation in fundamental engineering courses like Statics. Therefore, a modified self-regulated learning (SRL) instrument was used in the study that was carried out at four higher institutions in Malaysia, with a total of over 600 student participants. The Motivated Strategies for Learning Questionnaire (MSLQ) was modified for Statics and using Confirmatory Factor Analysis (CFA), nine new factors and respective items for self-regulation were confirmed.

Embedded systems teaching approaches & challenges

This paper discusses the challenges of teaching and design of Embedded System course. A survey on different approaches of teaching embedded systems design course was presented. The embedded system design class/course is often the course in which students are exposed to fairly complex design problems. In this study, the authors explained the importance of teaching embedded systems courses in a way that can shrink the gap between academically taught skills and the skills sought after by the industry. The literature on embedded systems design was found to be diverse, including relatively scarce research data and much larger amount of evaluation literature. Many studies were found but only few of them were discussed in this paper because of lack of methodological rigour in the research and poorly developed outcome measures.

Resolving data duplication, inaccuracy and inconsistency issues using Master Data Management

The management of scattered datasets over multiple data sources has led to data quality issues in an organization. Master Data Management (MDM) has been used to resolve this issue by providing “a single reference of truth” to reduce data redundancy in an organization. To the best of our knowledge, there is lack of study reviewing the progress of MDM research. Therefore, this paper intends to fill in the gap by conducting a systematic literature review to summarize the progress of MDM research domain. We also synthesize the data quality issues on multiple data sources management and how MDM tends to resolve them. We strategized our literature methods through relevant keywords searching from nine (9) databases including journals, proceedings, books, book chapters and industry research. The strategy has shown seven hundred and seventy-seven (777) articles were found during the initial searching stage and three hundred and forty-seven (347) relevant articles were filtered out for the analysis. The review shows that currently, MDM research has received a slope of enlightenment hence it still relevant to be explored. MDM is not just about a technology, it is an approach through a combination of processes, data governance, and technical implementation to resolve data quality issues on multiple data sources management such as duplication, inaccuracy and inconsistency of information.

Descriptive analysis and text analysis in Systematic Literature Review: A review of Master Data Management

Systematic Literature Review (SLR) is a structured way of conducting a review of existing research works produced by the earlier researchers. The application of right data analysis technique during the SLR evaluation stage would give an insight to the researcher in achieving the SLR objective. This paper presents how descriptive analysis and text analysis can be applied to achieve one of the common SLR objectives which is to study the progress of specific research domain. These techniques have been demonstrated to synthesis the progress of Master Data Management research domain. Using descriptive analysis technique, this study has identified a trend of related literary works distribution by years, sources, and publication types. Meanwhile, text analysis shows the common terms and interest topics in the Master Data Management research which are 1) master data, 2) data quality, 3) business intelligence, 4) business process, 5) data integration, 6) big data, 7) data governance, 8) information governance, 9) data management and 10) product data. It is hoped that other researchers would be able to replicate these analysis techniques in performing SLR for other research domains.

An Empirical Study: Learning Programming Using eLearning

Learning programming is not an easy task and students often find this course difficult to understand and pass. A fundamental factor which affects students’ performance is their learning efficacy and motivation. In the classroom, educators know how to motivate their students and how to exploit this knowledge to optimize their teaching when a student shows demotivation signs. In eLearning environments it is much more difficult to evaluate student motivation level. The study identified 19 research papers in teaching and learning programming using eLearning. The papers are derived from a number of digital databases which were published in the last two decades. This study found that a majority of the research in eLearning focuses on student knowledge and skills in programming. To motivate the student, visualization, simulation, animation and game-based approaches have been used in the learning process. These approaches focus on making the interaction attractive rather than identifying and diagnosing student motivation state in the eLearning systems. To enhance the learning process in programming using eLearning, student motivation model needs to be considered.

Work in progress: An initial review in programming tutoring tools

This paper describes preliminary results of a research related to Programming Tutoring Tools (PPTs). The study focuses on three research questions: What are the levels of programming involved?, What type of approach was used? and What type of students characteristics were used?. It applies systematic literature review (SLR) to 21 research papers derived from a number of digital databases published between 2004 and 2014. This study found that the majority of research focuses on knowledge and skills by visualization and simulation at introductory stage. Mainly PPTs are designed to improve knowledge and skills, while other characteristics such as errors and misconceptions, learning styles and preferences, affective and cognitive factors, motivations and meta-cognitive factors are less considered. In conclusion, these characteristics need to be considered so that PTTs can be more adaptive student learning process.

Challenges in implementing engineering technology education in Malaysia

As Malaysia races against time to achieve Vision 2020 to be a developed nation, there is an urgent need for highly-skilled human resources to fulfill the requirements of the industry. This calls for an expansion of the engineering technology program to increase the number of technical graduates. However, various challenges are faced by the institutions in the implementation of the Engineering Technology programs, which have significant negative impact on the nation in general and in particular the graduates from the programs. Data was collected from a brainstorming session between six organizations involved in providing engineering technology education in Malaysia and the UniversitiTeknologi Malaysia (UTM) and a convention on Engineering Technology Future in Malaysia. These challenges are categorized into four and discussed in this paper.