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INDONESIA
Indonesian Journal of Progressive Pedagogy
Published by Al-Qalam Institute
ISSN : 30903793     EISSN : 30904374     DOI : https://doi.org/10.61987/ijpp
Core Subject : Humanities, Education,
Humanities Education Other
Indonesian Journal of Progressive Pedagogy is a peer reviewed, open access journal dedicated to advancing innovative and transformative pedagogical practices in education. It provides a platform for researchers, educators, and policymakers to share their work on contemporary educational theories, methodologies, and policies. Indonesian Journal of Progressive Pedagogy focuses on progressive educational practices, inclusive education, curriculum design, the integration of digital tools, teacher development, and global perspectives in education. The journal emphasizes research that transforms traditional educational models, enhances learning outcomes, and addresses students diverse needs, especially those from marginalized communities. Indonesian Journal of Progressive Pedagogy covers many topics, including student centered learning, critical pedagogy, educational technology, educational leadership, and cross cultural studies. The journal publishes original research using various qualitative, quantitative, and mixed methods studies. It aims to foster collaboration and interdisciplinary approaches to promote the development of transformative education practices.
Arjuna Subject : Ilmu Sosial - Pendidikan
Articles 5 Documents
 1 
Search results for , issue "Vol. 1 No. 1 (2025)" : 5 Documents clear
Student Perceptions of Artificial Intelligence as a Virtual Tutor and Its Relation to Self-Efficacy in Learning Muhammad Auwal Yakubu; Zohaib Hassan Sain; Uthman Shehu Lawal; Mohamad Arif Rahman Hakim
Indonesian Journal of Progressive Pedagogy Vol. 1 No. 1 (2025)
Publisher : Al-Qalam Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/ijpp.v1i1.631

Abstract

This study investigates the use of Artificial Intelligence (AI) as a virtual tutor and its impact on students' self-efficacy in learning. Interviews, observations, and documentation from 30-40 students across various disciplines were analyzed using a mixed-methods approach. Findings show that AI enhances students' self-efficacy by providing quick, personalized feedback, boosting confidence in completing academic tasks. However, students reported challenges with complex topics requiring human-like explanations. Key factors influencing perceptions of AI included ease of use and technological comfort, which positively correlated with the perceived effectiveness of AI as a tutor. The study highlights the potential of AI to support learning but emphasizes the need for a balance with human interaction, especially for more complex subjects. This research contributes to understanding AI’s role in education. It offers insights for enhancing AI integration, recommending further development and training programs to improve students' digital literacy and engagement with AI systems
Utilization of Artificial Intelligence for Recruitment of the Best Educational Talent Unzilah Khomairotusshiyama; Hefniy Hefniy; Eka Diana
Indonesian Journal of Progressive Pedagogy Vol. 1 No. 1 (2025)
Publisher : Al-Qalam Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/ijpp.v1i1.653

Abstract

This research explores using artificial intelligence (AI) to support the recruitment process of the best talent in the education sector. Using a quantitative descriptive approach, data was collected through surveys of educational institutions and analysis of documents related to AI implementation. Data analysis techniques include descriptive statistical analysis to measure the acceptance of AI technology and its impact on selection efficiency, global search of candidates, and recruitment diversity. The results show that talent intelligence, including academic ability, creativity, problem-solving skills, and emotional intelligence, is an important factor in selecting prospective teachers. In addition, applying application tracking systems (ATS) and AI in recruitment management facilitates acquiring the right talent. These findings imply the importance of integrating AI technology in recruitment strategies to improve recruitment results quality and strengthen educational institutions' competitiveness in the digital era.
Exploration of Computational Thinking Ability: Assessment through Problems on the Vector Concept Aminatun Aminatun; Nur Fadilah; Syifaul Aini Mulyadi
Indonesian Journal of Progressive Pedagogy Vol. 1 No. 1 (2025)
Publisher : Al-Qalam Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/ijpp.v1i1.664

Abstract

The importance of Computational Thinking (CT) ability is not only one of the essential competencies of the 21st century but also a foundation for solving complex problems and building high-level thinking skills. This study aims to explore the computational thinking (CT) ability of new students in the physics education study program on vector material. The research method used is qualitatively, involving eight new physics education students at the Islamic University of Madura as respondents. Data were collected through a test instrument, and each question refers to the computational thinking indicator (Decomposition, abstraction, algorithm, and generalization). The results of data analysis show that the indicators of students' CT abilities on a scale of 4 consist of decomposition with an average value of 3.125, abstraction 2.438, algorithm 2.125, and generalization 1.687. Based on the study results, it can be concluded that the CT skills of first-year students at the Islamic University of Madura on vector material are included in the moderate category. Several indicators of CT abilities are still challenging for students, especially in developing algorithms and generalizations. Therefore, further research is needed to improve students' computational thinking abilities to face the challenges of the 21st century.
Global Trends and Transformative Insights in Artificial Intelligence (AI) Research: A Bibliometric Analysis of the Dynamics of Education, Ethics, and Innovation Rinta Anisaturrizqi; Rina Rifky Yulianti
Indonesian Journal of Progressive Pedagogy Vol. 1 No. 1 (2025)
Publisher : Al-Qalam Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/ijpp.v1i1.665

Abstract

Artificial intelligence (AI) research has grown significantly in the last decade, playing a crucial role in education, healthcare, and industry. This study explores global AI research trends using a bibliometric approach, analyzing geographical contributions, key themes, and temporal dynamics. Keyword network visualization highlights dominant themes such as “machine learning,” “digital transformation,” and “ethical AI,” along with their interconnections reflecting AI's evolution. The United States leads with 38% of global AI publications, followed by China and India, reinforcing their roles as innovation hubs. Leading institutions, including the University of California and Beijing Normal University, significantly contribute to machine learning and generative AI research. A surge in AI publications in 2023 indicates the growing influence of generative tools like ChatGPT. This study enriches the literature on AI trends while providing insights for policymakers to guide research investments. Understanding inter-topic relationships and cross-country collaborations offers new interdisciplinary and international cooperation opportunities. The findings provide a comprehensive AI research map to guide future studies and technological advancements.
The Role of Artificial Intelligence (AI) in Improving the Quality of Education in Early Childhood Education Programs Mariaulfah Ulfa; Shahzadi Hina
Indonesian Journal of Progressive Pedagogy Vol. 1 No. 1 (2025)
Publisher : Al-Qalam Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61987/ijpp.v1i1.666

Abstract

The purpose of this study is to examine the role of artificial intelligence (AI) in improving the quality of early childhood education (PAUD). This study reviews relevant journals, books, and other academic sources using a qualitative approach to literature research. The findings indicate that AI can significantly enhance the quality of PAUD by facilitating access to educational content and providing personalized learning experiences. AI technologies, such as visual mentors, voice assistants, intelligent content, and personalized learning platforms, support early childhood development and can adapt to children’s individual needs. AI applications like ChatGPT, Kahoot, and Animaker also contribute to interactive and adaptive learning environments, making learning more engaging and efficient. By utilizing AI, PAUD can offer more compelling content delivery, improve the stimulation of child development, and introduce children to digital tools in an age-appropriate way. This allows for a more meaningful learning experience that fosters early digital literacy and supports adaptive learning processes.

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