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All Journal International Journal of Evaluation and Research in Education (IJERE) JOIV : International Journal on Informatics Visualization
Admodisastro, Novia
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Computer Science & IT Education

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Assessing the effectiveness of the adaptation learning model for dyslexic students’ engagement: a quasi-experimental study Hamid, Siti Suhaila Abdul; Admodisastro, Novia; Ismail, Zahian; Radzuan, Nabilah Filzah Mohd; Kamaluddin, Adzhar; Mahmud, Murni
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 2: April 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i2.29952

Abstract

Students with dyslexia require individual learning approaches due todifferent mastery and engagement levels. The conventional approach couldnot adjust the learning style automatically and burdened the teacher,especially in bigger class sizes. We proposed an adaptive learning model forstudents with dyslexia (ALMo-DML) that personalized the learning basedon the mastery level and behavior. ALMo-DML can retain the studentslonger using adaptive elements. This paper examines the effectiveness of theALMo-DML prototype in increasing student engagement by comparing itwith MyLexic, non-adaptive learning using a quasi-experiment. Theparameters involve on-task/off-task behavior, time spent, and usability test.Descriptive statistics, hypothesis testing, software usability scale (SUS), andobservation forms were used to measure the engagement parameters. Theresult shows a longer on-task time with an average of 22 minutes when usingthe ALMo-DML prototype compared to the non-adaptive application withonly 12 minutes (p-value<0.05) using the Mann-Whitney U test. Besides,observation data support the finding indicating engagement from gestures,keyboard, and mouse clicks. This study proved that ALMo-DML showed apositive effect on the engagement of students with dyslexia compared withnon-adaptive learning. Hence, ALMo-DML is highly recommended as asupporting material in helping students with dyslexia.
Optimizing Linked List-based Smart Contract on Ethereum with IPFS for E-book Management System Mohammadan Makhtar, Maznun Arifa; Admodisastro, Novia; Mat Isa, Mohd Anuar; Abdullah, Daniel Hafiz; Sharif, Khaironi Yatim
JOIV : International Journal on Informatics Visualization Vol 8, No 3-2 (2024): IT for Global Goals: Building a Sustainable Tomorrow
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.3-2.3481

Abstract

People are now widely adopting digital assets in various applications, integrating them into almost every aspect of their lives. Electronic books, or e-books, are one of the digital assets that result from the transformation of physical reading material into the digital world. Nowadays, blockchain is used in many industries because it provides immutable and transparent records. E-book publishers may take this opportunity to adopt blockchain technology for e-book data management. However, blockchain storage is limited; thus, storing the e-book files in blockchain is not recommended. A decentralized storage system, such as InterPlanetary Files Systems (IPFS), is an alternative way to store large files like e-books. IPFS can facilitate the storage of e-book files while the metadata is stored in the blockchain. The e-book metadata should be stored in a structured way for effective search and retrieval. E-book metadata could be added, deleted, and updated occasionally. Nevertheless, some data structures often struggle with dynamic collections of records. This paper proposes a linked list-based smart contract on Ethereum that integrates with IPFS for the e-book management system. We demonstrate the implementation of a linked list smart contract for insertion, deletion, update, retrieval, and traversal of the e-book’s metadata. The result shows that a linked list-based smart contract with IPFS could offer a robust solution for e-book data management. This solution provides more opportunities to explore further security and cryptography approaches toward a secure e-book management system.
Mapping User Experience Information Overload Problems Across Disciplines Kusuma, Wahyu Andhyka; Jantan, Azrul Hazri; Abdullah, Rusli bin; Admodisastro, Novia; Mohd Norowi, Noris binti
JOIV : International Journal on Informatics Visualization Vol 7, No 1 (2023)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30630/joiv.7.1.1588

Abstract

User Experience (UX) has been increasing linearly with the systems and digital media. UX concept describes a human factor as an experience with the life cycle of digital technology. UX increases the usability of the product in the industry more than functionality. Interest in UX has produced a huge amount of product and research articles. Moreover, this interdisciplinary topic becomes increased significantly because of the wider applications. However, this benefit become a problem due to the number of publications. The information overload problem is the result of the increasing UX topic. Several researchers solved this problem with qualitative analysis, but it cannot solve the overload problem. In this paper, we purposed bibliometric analysis and research profiling to interpret UX information on the map, with the publications from 1998-2022, a dataset compiled in RIS format to provide article metadata. As a result, the UX information map from the topic with the five clusters. Therefore, to provide information on the topic's coherence, we propose a coupling network. A related topic is shown as a link; a direct link means high coherence between topics. The analysis was carried out using the 5W1H approach (what, where, who, when, why, and how). The results show that UX is indeed an interdisciplinary field, especially with a design approach and user experience. In addition, to determine novice researchers, determining the focus of research can be done by taking into account previous research goals and maps.
Co-Authors Abdullah, Daniel Hafiz Abdullah, Rusli bin Hamid, Siti Suhaila Abdul Ismail, Zahian Jantan, Azrul Hazri Kamaluddin, Adzhar Mat Isa, Mohd Anuar Mohammadan Makhtar, Maznun Arifa Mohd Norowi, Noris binti Murni Mahmud Radzuan, Nabilah Filzah Mohd Sharif, Khaironi Yatim Wahyu Andhyka Kusuma