Letters in Information Technology Education (LITE)

Evaluating the Implementation of Computer-Based Assessment in Seafarer Certification: The Role of Baseline Competency Management and CBA Utilization on Graduation Rates through Tryouts

2026-04-06T02:25:44+00:00

The implementation of Computer-Based Assessment (CBA) in the Seafarer Professional Examination (UKP Pelaut) is a strategic policy to improve integrity, standardization, and accountability in maritime certification. As part of digital transformation, CBA aims to strengthen exam quality and workforce readiness, yet pass rates remain inconsistent, highlighting gaps between regulatory goals and outcomes. This study evaluates CBA effectiveness through a mediated structural model linking utilization, competency management, tryout performance, and graduation rates. Using data from 156 Level I participants (ANT I and ATT I) at STIP Jakarta, analyzed with PLS-SEM, results show that CBA significantly improves tryout performance (β = 0.686, p < 0.05) and graduation outcomes (β = 0.324, p < 0.05). Baseline competency also strongly affects readiness (β = 0.388, p < 0.05) and graduation (T = 3.611, p < 0.05), with tryout performance partially mediating these effects. Findings indicate that CBA is partially effective: while digital assessment enhances efficiency and responsiveness, full success requires integrated competency management and structured tryout mechanisms to ensure sustainable improvement in maritime certification.

“Journey of Minds: Cybersecurity”: Open-World Game Development for Cybersecurity Learning with GDLC Approach

2026-05-25T01:27:32+00:00

This research aims to develop a cybersecurity learning game using the Game Development Life Cycle (GDLC) approach, integrating the principles of experiential learning, flow theory, and adaptive scaffolding. The research background is based on the increasing prevalence of modern cyber threats, particularly social engineering-based attacks such as phishing, which can lead to credential theft and ransomware escalation, as well as the high risk exposure among adolescents and young adults. The method used was Research and Development (RnD) with the GDLC model, which includes initiation, pre-production, production, testing, deployment, and evaluation stages. Testing was conducted through alpha testing using a Black Box Testing approach and beta testing involving three users through one-on-one validation scenarios. Data collected included functional test results, completion times for each segment, and user responses through interviews. The results showed that all game features performed as expected with no test case failures, resulting in a 100% system success rate. Time analysis revealed that the exploration and practice segments had longer durations than the evaluative segments, such as quizzes, indicating the presence of experiential learning activities. Furthermore, interview results indicated a positive response to the game's design and gameplay, although improvements were still needed in terms of navigation and clarity of task objectives. Thus, the developed game not only meets technical requirements but also supports experiential cybersecurity learning through the integration of pedagogical design and structured game mechanics.

Analysis of the Use of X-Ray Technology in Supporting Aviation Security Systems at Juanda Airport

2026-06-03T07:29:13+00:00

This study aims to analyze the use of X-Ray technology in supporting the Aviation Security system at Juanda Airport and to identify its relevance to Aviation Security Course. The study employed a descriptive qualitative approach through interviews, observation, and documentation involving Aviation Security officers who have experience in operating X-Ray screening equipment. The data were analyzed thematically by focusing on the role of X-Ray technology, operational procedures, officer competence, training and licensing, screening effectiveness, operational challenges, technology development, and educational implications. The findings show that X-Ray technology plays a central role in the inspection of baggage, cabin baggage, and cargo because it supports faster, more accurate, and more efficient security screening compared to manual inspection. However, the effectiveness of X-Ray screening depends not only on the machine, but also on operator competence, compliance with procedures, availability of licensed personnel, and proper equipment maintenance. The study also found that operational challenges such as fatigue, limited qualified personnel, reduced focus, and equipment condition may influence screening performance. From an educational perspective, the findings indicate that X-Ray screening practices can be transformed into contextual and practice-based learning materials for Aviation Security Course. These materials can support the development of cadets’ competencies in image interpretation, prohibited item identification, suspicious baggage handling, human factors, fatigue management, and future technologies such as AI-assisted screening. Therefore, this study contributes not only to the improvement of airport security practices but also to the preparation of competent Aviation Security personnel through learning that connects theoretical knowledge with real operational practices in the aviation industry

Digital Literacy and Hoax Detection among Deaf Individuals: A Systematic Literature Review

2026-06-20T22:26:40+00:00

The rapid expansion of digital technologies and social media platforms has significantly increased public access to information while simultaneously intensifying the spread of misinformation, disinformation, fake news, and hoaxes. These challenges are particularly critical for Deaf and Hard-of-Hearing (DHH) individuals, who often encounter accessibility barriers when accessing, interpreting, and verifying digital information. Consequently, digital literacy and hoax detection have emerged as essential competencies for promoting informed decision-making and equitable participation in digital society. This study aims to systematically review the existing literature on digital literacy and hoax detection among deaf individuals by examining research trends and characteristics, identifying strategies and interventions that support digital literacy and misinformation detection, and exploring the accessibility challenges faced by DHH populations in evaluating digital information. This study employed a Systematic Literature Review (SLR) methodology guided by the PRISMA 2020 framework. Articles were retrieved from the Scopus database using a predefined search strategy covering the period from 2015 to 2025. Following the screening and eligibility process, 11 studies met the inclusion criteria and were included in the final analysis. The findings reveal a growing research interest in digital literacy, accessibility, and misinformation resilience among DHH individuals, particularly after 2022. The reviewed studies highlight the importance of media literacy programs, fact-checking practices, information verification training, social media literacy education, captioning systems, sign language-based communication, accessibility technologies, and inclusive digital platforms. However, persistent barriers remain, including limited access to sign language resources, inadequate accessibility features, communication challenges, digital literacy gaps, and difficulties in verifying information. The review concludes that effective hoax detection among deaf individuals requires an integrated approach combining digital literacy education, accessible communication, inclusive technology design, and supportive policy frameworks to ensure equitable participation in the digital information ecosystem.

A Systematic Literature Review on Accessible Video-Based Modular Learning in Vocational Education for Deaf and Hard of Hearing (DHH) Students

2026-06-24T08:50:12+00:00

This study aims to systematically examine the implementation of accessible video-based modular learning in vocational education for students with hearing disabilities. The approach used is Systematic Literature Review (SLR) with reference to the PRISMA framework. The literature search process was carried out through the Scopus database with a publication time range of 2015-2025, resulting in 175 initial articles which were then selected until 12 articles that met the inclusion criteria were obtained. The analysis was carried out through the synthesis of thematic narratives on study characteristics, accessibility features, and learning effectiveness. The results of the study show that video-based learning combined with a modular structure has high effectiveness in improving concept understanding, vocational skills, and learning independence of students with hearing disabilities. Accessibility features such as closed captions, sign language, and visual support have proven to be key components in creating inclusive learning. In addition, the integration of innovative technologies such as Augmented Reality (AR), Virtual Reality (VR), and artificial intelligence (AI) makes a significant contribution to improving interactivity and learning experiences. However, implementation still faces various challenges, such as limited educator competencies, a lack of accessibility-based learning design, and a lack of institutional support. Therefore, a holistic approach that integrates pedagogical, technological, and policy aspects is needed to realize an inclusive and sustainable vocational learning system for students with hearing disabilities

Study of Ergonomic Risk as a Predictor of Operational Inefficiency: Evidence from Vision-Based Monitoring in Rice Mills

2026-07-14T03:52:57+00:00

Rice milling exposes workers to repetitive lifting, bending, twisting, and upper-limb exertion, yet existing ergonomic assessment methods largely treat these postures as isolated events rather than cumulative production stresses. This study examines ergonomic risk as a predictor of operational inefficiency within vision-based monitoring environments. It first reinterprets RULA, REBA, and OWAS in computational terms. RULA is framed as a piecewise discrete additive function with high local sensitivity. REBA is presented as a coupled biomechanical matrix with stronger whole-body interaction logic. OWAS is treated as a finite-state classifier with coarse quantization and lower sensitivity. Across all three, the core limitation is the absence of temporal dynamics. They do not represent motion adaptation, exposure accumulation, or threshold-based fatigue progression. The study then proposes the Temporal Ergodic Score, TES, a time-integrated multi-model risk functional that combines frame-wise RULA, REBA, and OWAS scores and attenuates risk under active motion through angular velocity. Within this formulation, ergonomic exposure becomes a cumulative signal linked to throughput decline rather than a static compliance score. The manuscript argues that throughput remains stable until TES reaches a critical threshold, after which speed, coordination, accuracy, and output deteriorate. This reframing places ergonomics within production analysis and supports earlier intervention through continuous vision-based monitoring, targeted task rotation, and better workstation control in rice milling systems.