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All Journal Magister Scientiae
J. Priyanto Widodo
Universitas PGRI Delta
Languange, Linguistic, Communication & Media

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A SYSTEMATIC LITERATURE REVIEW ON THE INTEGRATION OF AI IN HIGHER EDUCATION J. Priyanto Widodo; Hariyanto Hariyanto; Anggun Purnomo Arbi
Magister Scientiae Vol. 52 No. 2 (2024)
Publisher : Widya Mandala Surabaya Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33508/mgs.v52i2.5826

Abstract

This research presents a literature review on the integration of artificial intelligence (AI) in the higher education. This study used a systematic literature review research design. The findings show that AI has the capacity to improve student engagement, critical thinking skills, and teaching effectiveness. In addition, AI contributes to improving language and journalistic writing skills, as well as creating a dynamic learning environment. However, there are moral as well as ethical challenges. These include privacy, algorithm fairness, and over-reliance on this technology. This research ultimately highlights the importance of strategic and ethical application of AI in the context of higher education. It also highlights that there is a need for further research into the long-term impact of the integration of these technologies. The development of more comprehensive AI models and theories is also needed to ensure more responsible and equitable use.
GOOGLE EARTH INTEGRATION IN LEARNING: A NARRATIVE REVIEW J. Priyanto Widodo; Nurmida Catherine Sitompul; Iman Subekti; Linda Bustan; Anggun Purnomo Arbi
Magister Scientiae Vol. 53 No. 1 (2025)
Publisher : Widya Mandala Surabaya Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33508/mgs.v53i1.7255

Abstract

Technology integration in education is increasingly developing, including the use of Google Earth as an interactive learning medium. However, its utilization in Indonesia is still limited due to the lack of teacher training and access to technology. This research is intended to analyze the trend of Google Earth usage in learning through narrative review method. The study reviewed related literature to identify the fields of study that use it the most, the research methods applied, and the benefits and challenges found. The results show that Google Earth improves learning motivation, student engagement and spatial understanding. However, research is still dominated by short-term experimental methods, so longitudinal studies are needed to measure its impact in the long term. The implications of this research highlight the need for teacher training, supporting policy development, and further exploration in STEM and vocational education.
INTEGRATING DEEP LEARNING IN LANGUAGE LEARNING: INSIGHT FROM THE LITERATURE Nurmida Catherine Sitompul; Hariyanto; J. Priyanto Widodo
Magister Scientiae Vol. 53 No. 2 (2025)
Publisher : Widya Mandala Surabaya Catholic University

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33508/mgs.v53i2.7542

Abstract

Deep learning in language learning has the potential to revolutionize learning with its ability to process complex data. This study aims to: 1) identify key trends in the use of deep learning, 2) explore the benefits and challenges of implementing deep learning in language learning, and 3) determine future research directions based on gaps found in the literature. This study uses a literature review approach. The study's findings indicate a notable trend in the application of deep learning to a number of languages learning domains, including online learning, sign language recognition, translation, language assessment, and personalized learning. Numerous advantages of deep learning were also noted by the study, including better learning outcomes, higher student engagement, and the creation of creative applications. The study did identify a number of difficulties, though, including the requirement for huge data, infrastructure constraints, and data privacy concerns. The researcher suggests that further research address the various gaps and maximize the potential of DL applications in learning.
Co-Authors Anggun Purnomo Arbi Hariyanto Hariyanto Hariyanto Iman Subekti Linda Bustan Nurmida Catherine Sitompul