Sri Mulyani
ISBI Singkawang, Indonesia

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Development and Implementation of Digital Learning in the Drama Studies Course Based on Local Wisdom Eti Sunarsih; Zulfahita Zulfahita; Wahyuni Oktavia; Safrihady Safrihady; Lili Yanti; Sri Mulyani; Gunta Wirawan
KEMBARA: Jurnal Keilmuan Bahasa, Sastra, dan Pengajarannya Vol. 11 No. 2 (2025): October
Publisher : Universitas Muhammadiyah Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22219/kembara.v11i2.40995

Abstract

Drama Studies learning in higher education often faces challenges of low student engagement due to conventional teaching methods, limited interactivity, and the lack of integration of local cultural values into the learning process. This study aims to develop and implement a digital Project-Based Learning (PBL) model that integrates local wisdom into Drama Studies courses and to disseminate its impact on student learning outcomes. The research employs a developmental research design with a descriptive-qualitative approach, following the 4D model (Define, Design, Develop, and Disseminate). Data were collected through in-depth interviews, classroom observations, documentation of student drama projects, and assessments of cognitive, affective, and psychomotor domains. The results indicate that the developed learning model enhances students’ understanding of drama theory, strengthens their appreciation of local culture, and improves their dramatic performance skills through collaborative projects. The integration of local culture–based digital media also enriches the learning context and significantly boosts student engagement. This study provides a theoretical contribution to the development of a locality-based TPACK framework and offers a practical model applicable to arts education in the digital era. The findings conclude that the collaboration between technology, pedagogical projects, and local culture effectively creates contextual, interactive, and meaningful learning experiences in Drama Studies within higher education.
Academic Stress and Academic Burnout as Predictors Academic Achievement: The Mediating Role of AI-Motivation Learning Carolina Paula; Abd. Basith; Sri Mulyani
Attractive : Innovative Education Journal Vol. 8 No. 3 (2026): Attractive : Innovative Education Journal
Publisher : CV. Creative Tugu Pena

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51278/aj.v8i3.2815

Abstract

Academic achievement is the most important part of every student's learning process, so it is important to identify various factors that influence it. Therefore, this study aims to: 1) analyze the effect of academic stress and academic burnout on AI-motivation learning?, 2) analyze the effect of academic stress, academic burnout and AI-motivation learning on academic achievement?, 3) analyze the effect of academic stress and academic burnout on academic achievement through AI-motivation learning?. This study uses a quantitative approach with a cross-sectional study design. The research location is ISBI Singkawang with a population of 578, then a sample of 236 was taken using a simple random sampling technique. The data collection technique used is measurement with a psychological scale instrument adopted from previous studies. Data analysis techniques use percentages, correlations, multivariate analysis, and linear regression analysis with a path analysis approach. The results of the study show that: 1) academic stress (β = −.403) and academic burnout (β = −.545) have a significant effect on AI-motivation learning, 2) academic burnout (β = −.400) and AI-motivation learning (β = .491) significantly influence academic achievement. 3) AI-motivation learning can mediate the relationship between academic stress and academic achievement (β = -.198). This finding has implications for the development of programs in University related to optimizing the use of AI in the learning process to increase student learning motivation.