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All Journal Anterior Jurnal Bitnet: Jurnal Pendidikan Teknologi Informasi
Mujizatryo, Andykha
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Agriculture, Biological Sciences & Forestry Civil Engineering, Building, Construction & Architecture Computer Science & IT Education Medicine & Pharmacology Social Sciences

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Enhancing Accessibility for Disabled Students through Video-Based Learning and Sign Language Sintaman, Putri Irianti; Junaedi, Ahyar; Rafii, Mohamad; Risdayanti, Adhelwis Sekar; Mujizatryo, Andykha
Bitnet: Jurnal Pendidikan Teknologi Informasi Vol. 10 No. 1 (2025): Bitnet: Jurnal Pendidikan Teknologi Informasi
Publisher : Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/bitnet.v10i1.8534

Abstract

This study focuses on addressing the accessibility challenges faced by students with disabilities in higher education by integrating sign language videos with PowerPoint presentations. The objective is to improve learning outcomes and inclusivity, particularly for students with hearing impairments. Using the ADDIE (Analysis, Design, Development, Implementation, and Evaluation) instructional model, the research developed a video-based learning system tailored to the needs of disabled students. Data were collected from students at faculty of business and informatics, palangkaraya muhammadiyah university. Findings reveal significant improvements in accessibility, engagement, and comprehension, with a 38% increase in material access and a 31% improvement in understanding complex concepts. The study concludes that incorporating sign language into educational content not only facilitates better learning outcomes but also promotes active student participation. This research highlights the potential for future development of assistive technologies to create inclusive learning environments in higher education.
Membangun Kepercayaan Diri Mahasiswa di Era AI: Analisis Pengaruh Persepsi Manfaat, Sikap terhadap Teknologi, dan Pengalaman Penggunaan Kecerdasan Buatan: Building Students’ Self-Confidence in the Era of Artificial Intelligence: An Analysis of the Effects of Perceived Usefulness, Attitude Toward Technology, and Artificial Intelligence Usage Experience Junaedi, Ahyar; Mujizatryo, Andykha; Wahyudi, Jaemi
Anterior Jurnal Vol. 25 No. 1 (2026): Anterior Jurnal
Publisher : ​Institute for Research and Community Services Universitas Muhammadiyah Palangkaraya

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33084/anterior.v25i1.11331

Abstract

The advancement of artificial intelligence (AI) technology has significantly transformed education, particularly in how students adapt to and interact with modern learning technologies. This study aims to examine the influence of perceived usefulness of AI, attitude toward technology, and AI usage experience on students' self-confidence at the Faculty of Business and Informatics. A quantitative approach was employed using a survey method involving 306 respondents from a total population of 842 students, selected through proportionate stratified random sampling. Data were analyzed using the Partial Least Squares Structural Equation Modeling (PLS-SEM) technique with SmartPLS version 4. The results indicate that all constructs in the model meet the validity and reliability criteria, and the model is deemed fit with an SRMR value of 0.063. Structurally, the three independent variables—perceived usefulness of AI, attitude toward technology, and AI usage experience—have a positive and significant effect on students' self-confidence, with an R-square of 0.633, explaining 63.3% of the variance in students' self-confidence. These findings highlight the importance of integrating cognitive, affective, and behavioral factors to build students' confidence in the digital era and offer strategic implications for higher education institutions seeking to enhance AI-based learning practices.
Co-Authors Jaemi Wahyudi Junaedi, Ahyar Putri Irianti Sintaman Rafii, Mohamad Risdayanti, Adhelwis Sekar