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All Journal IAES International Journal of Artificial Intelligence (IJ-AI) HAYATI Journal of Biosciences PHARMACON Jurnal Bios Logos Animal Production : Indonesian Journal of Animal Production Advances in Food Science, Sustainable Agriculture and Agroindustrial Engineering (AFSSAAE) Makara Journal of Science Heca Journal of Applied Sciences Malacca Pharmaceutics Health & Medical Sciences Journal of Educational Management and Learning Infolitika Journal of Data Science Grimsa Journal of Science Engineering and Technology Jurnal Inovasi Global Borneo Journal of Pharmacy
TRINA EKAWATI TALLEI
Faculty of Mathematics and Natural Sciences, Sam Ratulangi University Manado
Agriculture, Biological Sciences & Forestry Astronomy Biochemistry, Genetics & Molecular Biology Chemical Engineering, Chemistry & Bioengineering Chemistry Computer Science & IT Decision Sciences, Operations Research & Management Dentistry Earth & Planetary Sciences Education Engineering Environmental Science Health Professions Immunology & microbiology Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Mathematics Mechanical Engineering Medicine & Pharmacology Nursing Physics Public Health Social Sciences Veterinary Other

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Journal : Journal of Educational Management and Learning

 1 
Student Perspectives on the Role of Artificial Intelligence in Education: A Survey-Based Analysis Idroes, Ghazi Mauer; Noviandy, Teuku Rizky; Maulana, Aga; Irvanizam, Irvanizam; Jalil, Zulkarnain; Lensoni, Lensoni; Lala, Andi; Abas, Abdul Hawil; Tallei, Trina Ekawati; Idroes, Rinaldi
Journal of Educational Management and Learning Vol. 1 No. 1 (2023): August 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v1i1.58

Abstract

Artificial intelligence (AI) has emerged as a powerful technology that has the potential to transform education. This study aims to comprehensively understand students' perspectives on using AI within educational settings to gain insights about the role of AI in education and investigate their perceptions regarding the advantages, challenges, and expectations associated with integrating AI into the learning process. We analyzed the student responses from a survey that targeted students from diverse academic backgrounds and educational levels. The results show that, in general, students have a positive perception of AI and believe AI is beneficial for education. However, they are still concerned about some of the drawbacks of using AI. Therefore, it is necessary to take steps to minimize the negative impact while continuing to take advantage of the advantages of AI in education.
Leveraging Artificial Intelligence to Predict Student Performance: A Comparative Machine Learning Approach Maulana, Aga; Idroes, Ghazi Mauer; Kemala, Pati; Maulydia, Nur Balqis; Sasmita, Novi Reandy; Tallei, Trina Ekawati; Sofyan, Hizir; Rusyana, Asep
Journal of Educational Management and Learning Vol. 1 No. 2 (2023): December 2023
Publisher : Heca Sentra Analitika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.60084/jeml.v1i2.132

Abstract

This study explores the application of artificial intelligence (AI) and machine learning (ML) in predicting high school student performance during the transition to university. Recognizing the pivotal role of academic readiness, the study emphasizes the need for tailored interventions to enhance student success. Leveraging a dataset from Portuguese high schools, the research employs a comparative analysis of six ML algorithms—linear regression, decision tree, support vector regression, k-nearest neighbors, random forest, and XGBoost—to identify the most effective predictors. The dataset encompasses diverse attributes, including demographic details, social factors, and school-related features, providing a comprehensive view of student profiles. The predictive models are evaluated using R-squared, Root Mean Square Error, and Mean Absolute Error metrics. Results indicate that the Random Forest algorithm outperforms others, displaying high accuracy in predicting student performance. Visualization and residual analysis further reveal the model's strengths and potential areas for improvement, particularly for students with lower grades. The implications of this research extend to educational management systems, where the integration of ML models could enable real-time monitoring and proactive interventions. Despite promising outcomes, the study acknowledges limitations, suggesting the need for more diverse datasets and advanced ML techniques in future research. Ultimately, this work contributes to the evolving field of educational AI, offering practical insights for educators and institutions seeking to enhance student success through predictive analytics.
Co-Authors Abas, Abdul Hawil Adikila, Gregorius Giani Angelina Stevany Regina Masengi Antasionasti, Irma Any Aryani Arifin, Mulyani Asep Rusyana Azzania Fibriani Balansa, Endrile Golmen Barasarathi , Jayanthi BEIVY JONATHAN KOLONDAM Celik, Ismail Daniel Febrian Sengkey Dantje Tarore Diah - Kusumawaty Diah Puspitasari Dian Handayani Diana Setya Ningsih, Diana Didik Priyandoko Dolongtelide, Jeclin Inebel Dzikrina, Hanina El-Shazly, Mohamed Elly Suoth Emran, Talha Bin Erwin Wantasen Estevam, Ethiene Castellucci Faisal, Farassa Rani Fatimawali . Florencia N. Sompie Ghazi Mauer Idroes Halimatushadyah, Ernie Hariyanto, Yuanita Amalia Herny E.I. Simbala Hizir Sofyan Idroes, Ghifari Maulana Illah Sailah Irvanizam, Irvanizam Jein Rinny Leke, Jein Rinny Kalalo, Marko Jeremia Kemala, Pati Kepel, Billy Johnson Khairan Khairan Laksono Trisnantoro Lala, Andi Lydia E. N. Tendean, Lydia E. N. Mamahit, Juliet Merry Eva Martha Marie Kaseke Masengi, Kyoko Itsuko Etsuko Gabriela Maulana, Aga Maulydia, Nur Balqis Mirda, Erisna Moh. Yani Mohd Fauzi, Fazlin Monoarfa, Alexander James Muliadi Ramli Musdalifah, Annisa Nabila, Fiki Farah Niode, Nurdjannah Jane Nurul Faridah, Nurul Patwekar, Mohsina Paulina yamlean Pendong, Christa Hana Angle Purukan, Christy Purwanto, Diana Shintawati Rahman, Sunarti Abd Ratte, Titah Amelia Rinaldi Idroes Rizkia, Tatsa Roni Koneri Runtunuwu, Stefanus Vicky Bernhard Elisa Salaki, Christina Leta Salaswati, Salaswati Sambul, Alwin Melkie Sari, Nadia Warda Sekar Sasmita, Novi Reandy Siampa, Jainer Pasca Sri Sudewi, Sri Takawaian, Agrita Feisilia Tamala, Yulianida Tania, Adinda Dwi Tendean, Lydia Estelina Naomi Teuku Rizky Noviandy Tumilaar, Sefren Geiner Turalaki, Grace Lendawati Amelia Unsratdianto Sompie, Sherwin Reinaldo Utami, Wulandari Putri Wawo, Arsianita Ester Wijaya, Puspita Wungouw, Herlina Ineke Surjane Zuchra Helwani, Zuchra Zulkarnain Jalil