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2. Evaluation of IoT-Based Computational Intelligence Tools for DNA Sequence Analysis in Bioinformatics

Author

Alansari, Zainab, Anuar, Nor Badrul, Kamsin, Amirrudin, Soomro, Safeeullah, and Belgaum, Mohammad Riyaz

Subjects
Computer Science - Other Computer Science
Abstract

In contemporary age, Computational Intelligence (CI) performs an essential role in the interpretation of big biological data considering that it could provide all of the molecular biology and DNA sequencing computations. For this purpose, many researchers have attempted to implement different tools in this field and have competed aggressively. Hence, determining the best of them among the enormous number of available tools is not an easy task, selecting the one which accomplishes big data in the concise time and with no error can significantly improve the scientist's contribution in the bioinformatics field. This study uses different analysis and methods such as Fuzzy, Dempster-Shafer, Murphy and Entropy Shannon to provide the most significant and reliable evaluation of IoT-based computational intelligence tools for DNA sequence analysis. The outcomes of this study can be advantageous to the bioinformatics community, researchers and experts in big biological data.

Published
2019
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4. Internet of Things: Infrastructure, Architecture, Security and Privacy

Author

Alansari, Zainab, Anuar, Nor Badrul, Kamsin, Amirrudin, Belgaum, Mohammad Riyaz, Alshaer, Jawdat, Soomro, Safeeullah, and Miraz, Mahdi H.

Subjects
Computer Science - Computers and Society, Computer Science - Networking and Internet Architecture
Abstract

Internet of Things (IoT) is one of the emerging technologies of this century and its various aspects, such as the Infrastructure, Security, Architecture and Privacy, play an important role in shaping the future of the digitalised world. Internet of Things devices are connected through sensors which have significant impacts on the data and its security. In this research, we used IoT five layered architecture of the Internet of Things to address the security and private issues of IoT enabled services and applications. Furthermore, a detailed survey on Internet of Things infrastructure, architecture, security, and privacy of the heterogeneous objects were presented. The paper identifies the major challenge in the field of IoT; one of them is to secure the data while accessing the objects through sensing machines. This research advocates the importance of securing the IoT ecosystem at each layer resulting in an enhanced overall security of the connected devices as well as the data generated. Thus, this paper put forwards a security model to be utilised by the researchers, manufacturers and developers of IoT devices, applications and services.

Published
2018

5. Challenges of Internet of Things and Big Data Integration

Author

Alansari, Zainab, Anuar, Nor Badrul, Kamsin, Amirrudin, Soomro, Safeeullah, Belgaum, Mohammad Riyaz, Miraz, Mahdi H., and Alshaer, Jawdat

Subjects
Computer Science - Computers and Society
Abstract

The Internet of Things anticipates the conjunction of physical gadgets to the In-ternet and their access to wireless sensor data which makes it expedient to restrain the physical world. Big Data convergence has put multifarious new opportunities ahead of business ventures to get into a new market or enhance their operations in the current market. considering the existing techniques and technologies, it is probably safe to say that the best solution is to use big data tools to provide an analytical solution to the Internet of Things. Based on the current technology deployment and adoption trends, it is envisioned that the Internet of Things is the technology of the future, while to-day's real-world devices can provide real and valuable analytics, and people in the real world use many IoT devices. Despite all the advertisements that companies offer in connection with the Internet of Things, you as a liable consumer, have the right to be suspicious about IoT advertise-ments. The primary question is: What is the promise of the Internet of things con-cerning reality and what are the prospects for the future., Comment: Proceedings of the International Conference on International Conference on Emerging Technologies in Computing 2018 (iCETiC '18), 23rd -24th August, 2018, at London Metropolitan University, London, UK, Published by Springer-Verlag

Published
2018

7. Enhancing Students' Research Skills Through AI Tools and Teacher Competencies: A Mixed-Methods Study.

Author

Behnamnia, Najmeh, Hayati, Siavash, Kamsin, Amirrudin, Ahmadi, Ali, and Alizadeh, Zahra

Subjects
TEACHER competencies, ELEMENTARY school teachers, SECONDARY school teachers, HIGH school teachers, RESEARCH skills
Abstract

This mixed-methods study examines the relationship between the integration of the AI-driven educational platform BrainPOP, teacher digital competencies, and the development of students' research skills in elementary and secondary education in Tehran, Iran. The study focuses on four primary objectives: (1) identifying strategies for integrating BrainPOP in teaching and learning, (2) assessing the influence of teacher digital competencies on successful BrainPOP integration, (3) analyzing the impact of BrainPOP on students' research skills, and (4) exploring the interconnected roles of BrainPOP, teacher digital competencies, and students' research skills development. Participants include 100 elementary and secondary school teachers and 200 students from Tehran, Iran. Data is collected using surveys, interviews, and classroom observations, and analyzed through descriptive statistics, regression, and thematic coding. Key findings for each objective include: 1. Diverse strategies for integrating BrainPOP in the classroom, 2. A positive correlation between teacher digital competencies and successful BrainPOP adoption, 3. Enhanced student research skills linked to the use of BrainPOP, and 4. The significance of a supportive learning environment that fosters collaboration, critical thinking, and adaptability among students, teachers, and AI tools in Iran. This study highlights the need for different ways to use BrainPOP, improving teachers' digital skills, and creating a supportive learning environment to help students improve their research skills in elementary and secondary schools. The results provide essential information for education practices and policies in Iran and other places, highlighting that AI tools like BrainPOP can significantly enhance how students learn and develop their research abilities. [ABSTRACT FROM AUTHOR]

Published
2024
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8. Personalized learning model based on machine learning algorithms.

Author

Zhang Jin and Kamsin, Amirrudin

Subjects
MACHINE learning, INFORMATION technology, ARTIFICIAL intelligence, INTELLIGENT tutoring systems, DATA mining, PROBLEM-based learning
Abstract

Machine learning algorithms have been widely applied in the field of personalized learning within educational information technology. By leveraging big data analysis and data mining techniques, machine learning can help identify patterns and trends in students' learning behaviors, preferences, and performance. This information can then be used to tailor educational resources and experiences to meet the individual needs and unique characteristics of each learner. Machine learning has made great progress and achievements in the teaching process of universities, but there are also some shortcomings. Such as data dependence, over-fitting and under-fitting, explanatory problems, need a lot of computing resources, data bias, sensitive to outliers, cannot solve all problems, and the challenge of data privacy, through the analysis of machine learning algorithm model, efforts to find ways to expand the dimension of personalized learning classroom, meet the students in learning objectives, learning content, learning methods of the special characteristics and unique needs, to guide students to actively explore and research, obtain innovation and appropriate learning results. [ABSTRACT FROM AUTHOR]

Published
2024
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11. Bibliometric analysis of mobile learning user experience industrial revolution 5.0.

Author

Ariffin, Shamsul Arrieya, Kamsin, Amirrudin, and Mustapha, Ramlan

Subjects
MOBILE learning, INDUSTRIAL revolution, AUGMENTED reality, VIRTUAL reality, ARTIFICIAL intelligence
Abstract

User experience or usability is under research, particularly in mobile learning in the era of industrial revolution (IR) 5.0. This article discusses incorporating sophisticated mobile technologies such as augmented reality (AR), virtual reality (VR), and artificial intelligence (AI) into the user experience in educational settings. Therefore, this paper investigates the relatively new revolutionary potential of mobile learning user experience in the context of the IR 5.0, where the digital and technology spheres meet for better user experiences, particularly for students in learning. The research explores novel meta-mobile technology approaches by examining concrete cases from 2012, analyzing their impact, and improving the user experience. Likewise, this article elucidates the need for mobile learning user experience research based on bibliometric analysis. [ABSTRACT FROM AUTHOR]

Published
2024
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14. Classification, Clustering and Association Rule Mining in Educational Datasets Using Data Mining Tools: A Case Study

Author

Hussain, Sadiq, Atallah, Rasha, Kamsin, Amirrudin, Hazarika, Jiten, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, and Silhavy, Radek, editor

Published
2019
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16. Game Based Social Skills Apps to Enhance Collaboration Among Young Children: A Case Study

Author

Behnamnia, Najmeh, Kamsin, Amirrudin, Ismail, Maizatul Akmar Binti, Hayati, A., Akan, Ozgur, Series Editor, Bellavista, Paolo, Series Editor, Cao, Jiannong, Series Editor, Coulson, Geoffrey, Series Editor, Dressler, Falko, Series Editor, Ferrari, Domenico, Series Editor, Gerla, Mario, Series Editor, Kobayashi, Hisashi, Series Editor, Palazzo, Sergio, Series Editor, Sahni, Sartaj, Series Editor, Shen, Xuemin (Sherman), Series Editor, Stan, Mircea, Series Editor, Xiaohua, Jia, Series Editor, Zomaya, Albert Y., Series Editor, Miraz, Mahdi H., editor, Excell, Peter, editor, Ware, Andrew, editor, Soomro, Safeeullah, editor, and Ali, Maaruf, editor

Published
2018
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17. The Main Components of Creativity in Educational Game: A Case Study

Author

Behnamnia, Najmeh, Kamsin, Amirrudin, Ismail, Maizatul Akmar Binti, Hayati, A., Akan, Ozgur, Series Editor, Bellavista, Paolo, Series Editor, Cao, Jiannong, Series Editor, Coulson, Geoffrey, Series Editor, Dressler, Falko, Series Editor, Ferrari, Domenico, Series Editor, Gerla, Mario, Series Editor, Kobayashi, Hisashi, Series Editor, Palazzo, Sergio, Series Editor, Sahni, Sartaj, Series Editor, Shen, Xuemin (Sherman), Series Editor, Stan, Mircea, Series Editor, Xiaohua, Jia, Series Editor, Zomaya, Albert Y., Series Editor, Miraz, Mahdi H., editor, Excell, Peter, editor, Ware, Andrew, editor, Soomro, Safeeullah, editor, and Ali, Maaruf, editor

Published
2018
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18. A Framework for Authentication of Digital Quran

Author

Hakak, Saqib, Kamsin, Amirrudin, Veri, Jhon, Ritonga, Rajab, Herawan, Tutut, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bhateja, Vikrant, editor, Nguyen, Bao Le, editor, Nguyen, Nhu Gia, editor, Satapathy, Suresh Chandra, editor, and Le, Dac-Nhuong, editor

Published
2018
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19. A Survey of Educational Games as Interaction Design Tools for Affective Learning: Thematic Analysis Taxonomy

Author

Yusoff, Zarwina, Kamsin, Amirrudin, Shamshirband, Shahaboddin, and Chronopoulos, Anthony T.

Abstract

A Computer game is the new platform in generating learning experiences for educational purposes. There are many educational games that have been used as an interaction design tool in a learning environment to enhance students learning outcomes. However, research also claims that playing video games can have a negative impact on student behavior, cognition and emotion. The aim of the study is to review the related articles in educational games and the function of games as interaction design tools, which affect student's cognition, emotion and social skills interaction when playing games. We use thematic analysis to classify the papers including the following: (a) data familiarization (b) initial code generation (c) review themes (d) themes search (e) Define & Name Themes. The articles were found from four databases: web of science, IEEE, ACM, and Springer. All the articles were analyzed based on three main research questions (1) what are the issues of survey papers in educational games? (2) What are the trends of research models in educational game? (3) What is the technology used in educational games? The results show that educational games are affective interaction design tools for learning outcomes.

Published
2018
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24. PREDICTING STEM LEARNERS' PERFORMANCE IN SERIOUS GAMES FOR COMPUTATIONAL THINKING USING GAME LEARNING ANALYTICS FRAMEWORK.

Author

Razak, Fatin Nasuha Abdul, Kamsin, Amirrudin, and Rahman, Hameedur

Subjects
STEM education, EDUCATIONAL games, ACADEMIC motivation, STUDENT engagement, EDUCATIONAL technology
Abstract

Games, particularly serious games (SGs), have long been embraced in education for their inherent engagement and motivational qualities, especially among younger learners. In the realm of STEM education, SGs have emerged as a technological strategy to enhance student engagement and performance. This paper addresses the growing interest in SG implementation for computational thinking (CT) development within STEM education. Through the introducing of a Game Learning Analytics (GLA) framework, this research explores the predictive potential of technological tools in assessing learners' performance. Focused on the creation of SGs, the GLA framework aims to elucidate the relationship between SG participation and CT skill development. The study proposes a methodological approach for implementing GLA to predict STEM learners' performance in SGs, contributing to the ongoing discourse on leveraging technology to enhance education outcomes. [ABSTRACT FROM AUTHOR]

Published
2024

31. Game Rhetoric: Interaction Design Model of Persuasive Learning for Serious Games

Author

Yusoff, Zarwina, Kamsin, Amirrudin, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Zaphiris, Panayiotis, editor, and Ioannou, Andri, editor

Published
2015
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