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Student Satisfaction with The Use of Chat-GPT as A Learning Resource Yassin, Abdulnassir; Bashir, Ashadi
Vocational: Journal of Educational Technology Vol. 1 No. 1 (2024)
Publisher : Yayasan Pendidikan Dan Pengembangan Harapan Ananda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58740/vocational.v1i1.247

Abstract

This study investigates student satisfaction with the use of Chat-GPT as a learning resource in higher education. This study used a mixed methods approach, combining quantitative surveys and qualitative interviews to assess students' experiences and perceptions. A sample of 200 students from various disciplines at the Faculty of Education, Islamic University in Uganda (IUIU) participated in the study. Findings showed that most students expressed a high level of satisfaction with Chat-GPT, citing the availability, responsiveness and quality of information provided as key benefits. However, there were concerns about the accuracy of some responses and the lack of personalized feedback. The study concludes that while Chat-GPT serves as a valuable complementary resource, it must be properly integrated into the broader educational context, to ensure complementary human guidance and verification. These insights are critical for educators and developers looking to improve the effectiveness of AI-based educational tools.
Systematic Literature Review: 21st-Century English Learning Media Utilizing Augmented Reality Trisnawati, Winda; Sulistiyo, Urip; Sofyan, Sofyan; Haryanto, Eddy; Bashir, Ashadi
Vocational: Journal of Educational Technology Vol. 1 No. 2 (2025)
Publisher : Yayasan Pendidikan Dan Pengembangan Harapan Ananda

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58740/vocational.v1i2.337

Abstract

The rapid advancement of technology has significantly impacted education, particularly in the field of language learning. Among the most promising innovations is Augmented Reality (AR), a technology that enhances the real world with digital content, creating immersive and interactive learning experiences. This potential for immersion allows AR to engage students effectively, making it a powerful tool in supporting 21st-century learning skills such as critical thinking, creativity, collaboration, and communication. This systematic literature review aims to analyze the current body of research on AR in English language education, focusing on its ability to enhance language proficiency, retention, and fluency, while also fostering key 21st-century skills. By examining the benefits, challenges, and gaps in the literature, this review provides valuable insights for educators, researchers, and policymakers interested in incorporating AR into language education to improve learning outcomes.
Design and assessment of effective multimedia-based courseware for student quantitative data analysis Yassin, Abdulnassir; Bashir, Ashadi; Surjono, Herman Dwi; Afdal, Zul; Novianto, Victor
International Journal of Evaluation and Research in Education (IJERE) Vol 14, No 4: August 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijere.v14i4.32055

Abstract

The rapidly evolving technological trends are transforming higher education. This study focused on designing and evaluating the effectiveness of multimedia-based courseware in improving students’ data analysis at Islamic University in Uganda. The objectives were: i) to create interactive multimedia courseware (IMC) to enhance students’ quantitative data analysis skills; ii) to evaluate the suitability of IMC’s content, interactivity, user interface, and design; and iii) to profile students’ perceived benefits of using the IMC to learn quantitative data analysis. A descriptive survey involving 160 education undergraduate finalists, selected through random and consensus sampling, was conducted. Data was collected through a self-report survey instrument with high validity (content validity index=0.886) and reliability (Cronbach alpha=0.878). The IMC development followed the analysis, design, development, implementation, and evaluation (ADDIE) model and Gagne’s learning events. Results indicated that the IMC content (mean=3.90, SD=0.94), interactivity (mean=4.10, SD=0.79), user interface (mean=4.04, SD=0.82), and screen design (mean=4.05, SD=0.87) were highly appropriate. Students perceived IMC as effective in enhancing their data analysis skills (mean=3.86, SD=0.92). The findings suggest that IMC can significantly improve students’ quantitative analysis abilities. However, recommending further studies on the impact of IMC on students’ quantitative data analysis skills comprehensively in a multidisciplinary manner, to potentially revolutionize learning.