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Journal : International Journal of Active Learning

Optimism in Using Platform Merdeka Mengajar to Support Primary School Teachers’ Practice Krismiyati, Krismiyati; Latuperissa, Rudy
International Journal of Active Learning Vol. 9 No. 1 (2024): April 2024
Publisher : Universitas Negeri Semarang

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Abstract

Platform Merdeka Mengajar (PMM) has been launched since 2020. Since then, it has become a resource for teachers to support their teaching and learning activities. The platform offered many opportunities for the teachers to build and develop their capacity for a better quality of teaching, from planning to classroom practices. It was essential to know their view of using the platform. This study aimed to investigate the teachers' optimism in using the platform. Besides, it explored what factors influenced their optimism in using  PMM. The study used a quantitative approach to see the teachers' general tendency regarding their optimism. It involved 303 primary school teachers as the participants. It used a 5-point Likert scale questionnaire for the data collection. The analysis data covered the reliability and validity of the items, descriptive analysis, and correlation between the items constructing the optimism. The study's findings showed that the teachers in this study had a high optimism of 4.17. The study also described that planning the lesson, flexibility, capacity building, and teachers’ productivity did affect their optimism in using Platform Merdeka Mengajar. Further research recommendations were described in the conclusion section.
The Use of AI for Learning Planning Viewed from the UTAUT Perspective Ratumanan, Ezra Abdiel; Krismiyati, Krismiyati
International Journal of Active Learning Vol. 10 No. 2 (2025): October 2025
Publisher : Universitas Negeri Semarang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.15294/ijal.v10i2.32387

Abstract

This research examines the determinants influencing vocational high school teachers’ behavioral intention and actual use of generative artificial intelligence (AI) in lesson planning, employing a modified Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) framework. A quantitative research design was implemented, utilizing purposive sampling to select 92 teachers from SMK Negeri 2 Salatiga who had prior experience with generative AI in instructional design. Data were collected through a structured Likert-scale questionnaire and analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) with SmartPLS 4, assessing construct validity, reliability, and structural relationships. The findings indicate that Behavioral Intention constitutes the most substantial predictor of Use Behavior (β = 0.958), significantly shaped by Hedonic Motivation, Habit, Price Value, Performance Expectancy, and Effort Expectancy. Notably, Lesson Planning exhibits a negative association with Use Behavior (β = -0.378), suggesting that rigid or bureaucratic planning frameworks may impede the integration of AI technologies. Demographic moderators, including age, gender, professional experience, educational attainment, and willingness, demonstrated no statistically significant effects. The study underscores that the adoption of AI in educational contexts is predominantly driven by motivational and perceptual constructs rather than demographic variables. The implications emphasize the necessity for adaptive lesson design, targeted teacher professional development focusing on technological pedagogical content knowledge (TPACK), and supportive policy frameworks to foster effective and contextually relevant AI integration in vocational education.