Teti Berliani
Universitas Palangkaraya

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Academic Identity Formation among University Students in AI-Enhanced Collaborative Learning Spaces Paul Johan Kawatu; Yuni Misrahayu; Teti Berliani; Aliah Bagus Purwakania Hasan
Jurnal Pendidikan Terapan Vol 4, No 3 July (2026)
Publisher : Sakura Digital Nusantara

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61255/jupiter.v4i3.958

Abstract

Purpose: This study aims to analyze how academic identity is constructed and transformed among students engaged in Artificial Intelligence (AI)-assisted collaborative learning, addressing the limited research on this issue in underrepresented regions such as Papua. Methods: A qualitative case study approach was conducted over eight weeks in a collaborative university class in Papua. Data were collected through four classroom observations, in-depth interviews with eight students and one lecturer, five cycles of reflective journals, and analysis of learning artifacts. The data were analyzed using thematic analysis with systematic coding, source triangulation, and comparison of identity development at the beginning and end of the study. Findings:  The findings indicate that AI appeared to support students’ academic agency, increase confidence in articulating scientific arguments, and strengthen the visibility and legitimacy of their contributions in collaborative group work. However, differences in digital literacy and varying intensities of AI use were associated with unequal participation and influence within collaborative activities. Research Implications:  These findings suggest that reflective and inclusive AI integration may support academic identity development while highlighting the importance of equitable pedagogical strategies to reduce dependency, marginalization, and participation gaps in collaborative learning environments. However, the findings are limited to a single-case qualitative context and may not be fully transferable to other educational settings. Originality: This study provides contextual and empirical insights into academic identity formation within AI-mediated collaborative learning spaces in an underrepresented higher education context, particularly Papua, and contributes to discussions on inclusive learning design in human AI educational environments.
Cultivating Metacognitive Resilience for Adaptive Learning and Academic Integrity in Post-Pandemic Higher Education Teti Berliani; Pierre Marcello Lopulalan; Rabbani Ischak; Rachmat Efendi
Asian Journal of Applied Education (AJAE) Vol. 5 No. 1 (2026): January 2026
Publisher : PT FORMOSA CENDEKIA GLOBAL

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55927/ajae.v5i1.15846

Abstract

The post-pandemic shift in higher education requires students to develop strong metacognitive resilience to adapt effectively to hybrid learning while maintaining academic integrity. This study examines the relationship between metacognitive resilience, adaptive learning ability, and commitment to academic integrity among university students in Banten Province. Using a mixed-methods sequential explanatory design, quantitative data were collected through a survey of 60 purposively selected students, followed by in-depth interviews to enrich the findings. Data were analyzed using descriptive, correlational, and thematic techniques. The results indicate that metacognitive resilience significantly enhances students’ ability to adjust learning strategies and uphold ethical academic behavior in digital learning environments. Students with higher reflective awareness demonstrate greater flexibility in addressing online learning challenges and stronger consistency in maintaining academic honesty. The study highlights the importance of strengthening metacognitive literacy and academic ethics as foundations for sustainable adaptive learning in post-pandemic higher education.