Postgraduate Learning Innovation in the Age of Artificial Intelligence

Murtono; Mulyo Prayitno

doi:10.69725/aei.v1i3.241

Authors

Murtono Department of Primary School Teacher Education, Faculty of Teacher Training and Education, Universitas Safin Pati, Pati, Central Java, Indonesia
Mulyo Prayitno Department of Primary School Teacher Education, Faculty of Teacher Training and Education, Universitas Safin Pati, Central Java, Indonesia

DOI:

https://doi.org/10.69725/aei.v1i3.241

Keywords:

Artificial Intelligence, Postgraduate Education, AI Integration, Learning Effectiveness, Curriculum Relevance

Abstract

Objective: To explore how artificial intelligence (AI) can act as a moderator in supporting learning effectiveness at the postgraduate level through traditional educational elements such as teaching strategies, curriculum development, digital literacy, and learner engagement.
Methods: Data were collected via a structured quantitative survey from 140 postgraduate students selected purposively. Pearson correlation and multiple regression with moderation analysis were used to determine the interaction effects of AI on learning effectiveness based on the data gathered.
Results: Results show the crucial moderating effect of AI on the impact of digital competence and teaching practice to learning outcomes. Although conventional academic variables that influence the learning effectiveness exert their effects, their effects are amplified when AI is incorporated into the instructional practices and digital platforms. AI improves feedback mechanisms, enables interactivity, and strengths individualized learning paths.
Novelty: While past literature utilized AI as an independent or mediating variable, we view AI as a moderator, namely, an enabling mechanism that enhances already existing educational mechanisms rather than replicating them in a different way. Such a nuanced role is indicative of a paradigm shift in postgraduate higher education technology adoption.
Theory and Policy Implications: This study extends both constructivist and cognitive load theories showing how AI can ease cognitive burden but at the same time enhance knowledge construction. The results propose strategies for policymakers to incorporate AI in postgraduate curricula to build self-adaptive, data-driven, and student centered learning environments.

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Author Biographies

Murtono, Department of Primary School Teacher Education, Faculty of Teacher Training and Education, Universitas Safin Pati, Pati, Central Java, Indonesia

Dr. Drs. Murtono, M.Pd. is the Rector of Universitas Safin Pati and a senior lecturer in the Department of Primary School Teacher Education, Faculty of Teacher Training and Education, Universitas Safin Pati, Pati, Central Java, Indonesia. With extensive experience in educational leadership and curriculum development, his academic interests focus on innovation in pedagogical strategies, teacher professionalism, and education management. He has contributed significantly to various national and international journals and serves as a mentor for postgraduate research in the field of education. Dr. Murtono is an active member of academic forums and a reviewer for indexed journals, demonstrating his commitment to advancing quality education through scholarly engagement.
???? murtono@usp.ac.id | ORCID: 0000-0003-4694-6283 | Scopus ID: 57215577064 | Google Scholar: AzweeOkAAAAJ
Mulyo Prayitno, Department of Primary School Teacher Education, Faculty of Teacher Training and Education, Universitas Safin Pati, Central Java, Indonesia

Mulyo Prayitno, S.Pd., M.Pd. is a lecturer in the Department of Primary School Teacher Education, Faculty of Teacher Training and Education, Universitas Safin Pati, Central Java, Indonesia. His academic pursuits include educational technology, basic education policy, and inclusive pedagogies, with a particular interest in leveraging AI to improve primary education outcomes. He has been actively involved in research collaborations and community-based educational projects aimed at enhancing teaching competencies in rural and urban settings. His scholarly works are accessible through Google Scholar and other academic repositories.
???? mulyoprayitno@usp.ac.id | ORCID: 0000-0003-3620-8164 | Google Scholar: lZi-IwUAAAAJ

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