OPTIMIZING LEARNING WITH ARTIFICIAL INTELLIGENCE IN THE CLASSROOM: THE MEDIATING ROLE OF TIME MANAGEMENT SKILLS IN ENHANCING ACADEMIC ACHIEVEMENT AMONG UNIVERSITY STUDENTS IN KLANG VALLEY, MALAYSIA

Kumaran Kanapathipillai, Wan Rahafiz Bin Wan Abdul Rahim, Muhamad Khairul Anwar Bin Mat Azidin, Norhafizah Binti Hambali

Abstract


This study investigated how Artificial Intelligence (AI) influences academic achievement among university students in Klang Valley, Malaysia, with time management skills as a mediating factor. Grounded in Zimmerman’s Self-Regulated Learning (SRL) model, it explored the relationships between the frequency, familiarity, and duration of AI use and students’ academic performance. A quantitative design was employed using 313 valid responses from three private universities. Data were collected through a structured questionnaire and analysed using SPSS version 30 with multiple regression and Hayes PROCESS MACRO mediation tests. The findings revealed that frequent, familiar, and prolonged AI use enhanced academic performance. Time management skill mediated the relationships between AI familiarity and duration with academic performance, but not between frequency and academic performance. The study bridges theoretical and practical gaps by showing that self-regulatory behaviours strengthen the educational value of AI. It recommends integrating AI literacy with structured time management skills to optimize learning outcomes.

 

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Keywords


artificial intelligence, frequency, familiarity, duration, academic performance

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References


Abass, S. H. Z., & Shalaby, S. F. (2021). Investigating time management habits and its related factors among medical sciences faculty students. Egyptian Journal of Health Care, 12(3), 1282-1291. https://doi.org/10.21608/ejhc.2021.195261

Abbas, N., Ali, I., Manzoor, R., Hussain, T., & Hussain, M. H. A. I. (2023). Role of artificial intelligence tools in enhancing students' educational performance at higher levels. Journal of Artificial Intelligence, Machine Learning and Neural Network, (35), 36-49. https://doi.org/10.55529/jaimlnn.35.36.49

Abdullahi, N. J. K. (2025). Managing artificial intelligence-driven platforms for student development. International Journal of Engineering Technology and Natural Sciences, 7(1), 75-86. https://doi.org/10.46923/ijets.v7i1.467

Abubakar, U., Falade, A. A., & Ibrahim, H. A. (2024). Redefining student assessment in Nigerian tertiary institutions: the impact of AI technologies on academic performance and developing countermeasures. Advances in Mobile Learning Educational Research, 4(2), 1149-1159. https://doi.org/10.25082/amler.2024.02.009

Abuzaid, M., Elshami, W., & McFadden, S. (2022). Integration of artificial intelligence into nursing practice. Health and Technology, 12(6), 1109-1115. https://doi.org/10.1007/s12553-022-00697-0

Addae, R. K., & Brown, C. (2025). The role of artificial intelligence in enhancing human longevity. Golden Ratio of Social Science and Education, 5(2), 302-318. https://doi.org/10.52970/grsse.v5i2.1275

Aeon, B., Faber, A., & Panaccio, A. (2021). Does time management work? A meta-analysis. Plos One, 16(1). https://doi.org/10.1371/journal.pone.0245066

Agormedah, E. K., Britwum, F., Amoah, S. O., Acheampong, H. Y., Adjei, E., & Nyamekye, F. (2021). Assessment of time management practices and students’ academic achievement: the moderating role of gender. International Journal of Social Sciences & Educational Studies, 8(4). https://doi.org/10.23918/ijsses.v8i4p171

Ahmad, S. F., Alam, M. M., Rahmat, M. K., Mubarik, M. S., & Hyder, S. I. (2022). Academic and administrative role of artificial intelligence in education. Sustainability, 14(3), 1101. https://doi.org/10.3390/su14031101

Ajalo, E., Mukunya, D., Nantale, R., Kayemba, F., Pangholi, K., Babuya, J., & Kiguli, S. (2025). Widespread use of chatgpt and other artificial intelligence tools among medical students in Uganda: a cross-sectional study. Plos One, 20(1). https://doi.org/10.1371/journal.pone.0313776

Akavova, A., Temirkhanova, Z., & Lorsanova, Z. (2023). Adaptive learning and artificial intelligence in the educational space. E3S Web of Conferences, 451, 06011. https://doi.org/10.1051/e3sconf/202345106011

Al-Abdullatif, A. M. (2023). Modeling students’ perceptions of chatbots in learning: integrating technology acceptance with the value-based adoption model. Education Sciences, 13(11). https://doi.org/10.3390/educsci13111151

AL-Tkhayneh, K. M., Alghazo, E. M., & Tahat, D. (2023). The advantages and disadvantages of using artificial intelligence in education. Journal of Educational and Social Research, 13(4), 105. https://doi.org/10.36941/jesr-2023-0094

Al-yami, A. A., Abdulwahed, A., Azhar, A., Binsaddik, A., & Bafaraj, S. M. (2021). Impact of time-management on the student’s academic performance: a cross-sectional study. Creative Education, 12(03), 471-485. https://doi.org/10.4236/ce.2021.123033

Al‐Roomi, K., Alzayani, S., Almarabheh, A., Alqahtani, M. M., Aldosari, F., Aladwani, M., & Salem, A. H. (2024). Familiarity and applications of artificial intelligence in health professions education: Perspectives of students in a community-oriented medical school. Cureus. https://doi.org/10.7759/cureus.73425

AlAfnan, M. A., Dishari, S., & MohdZuki, S. F. (2024). Developing soft skills in the artificial intelligence era: communication, business writing, and composition skills. Journal of Artificial Intelligence and Technology 4(4). https://doi.org/10.37965/jait.2024.0496

Alenezi, A. (2024). Obstacles to the use of AI applications in Blackboard for faculty members at Northern Border University, Saudi Arabia. MIER Journal of Educational Studies Trends and Practices, 248-268. https://doi.org/10.52634/mier/2024/v14/i2/2581

Ali, J. K. M., Shamsan, M. A., Hezam, T. A., & Mohammed, A. A. (2023). Impact of ChatGPT on learning motivation. Journal of English Studies in Arabia Felix, 2(1), 41-49. https://doi.org/10.56540/jesaf.v2i1.51

Almaraz-López, C., Menéndez, F. A., & López-Esteban, C. (2023). Comparative study of the attitudes and perceptions of university students in business administration and management, and in education toward artificial intelligence. Education Sciences, 13(6), 609. https://doi.org/10.3390/educsci13060609

Almusaed, A., Almssad, A., Yitmen, I., & Homod, R. Z. (2023). Enhancing Student Engagement: Harnessing “AIED”’s Power in Hybrid Education—A Review Analysis. Education Sciences, 13(7), 632. https://doi.org/10.3390/educsci13070632

Alotaibi, M. S., Fox, M., Coman, R., Ratan, Z. A., & Hosseinzadeh, H. (2022). Perspectives and experiences of smartphone overuse among university students in Umm al-Qura University (UQU), Saudi Arabia: a qualitative analysis. International Journal of Environmental Research and Public Health, 19(7), 4397. https://doi.org/10.3390/ijerph19074397

Al Zaabi, A., Al Maskari, S., & Al Abdulsalam, A. (2023). Are physicians and medical students ready for artificial intelligence applications in healthcare? Digital Health, 9. https://doi.org/10.1177/20552076231152167

Amal, B., Khaierunnisa, A., Rahmawati, E., Syifa, N., Dewani, P. N., Septariyani, P. R., & Fauzi, S. (2024). Use of artificial intelligence applications: friend or threat for Indonesian language and literature education students at Singaperbangsa University of Karawang. Internet of Things and Artificial Intelligence Journal, 4(4), 677-688. https://doi.org/10.31763/iota.v4i4.821

Amer, F. G. M., Alanazi, M. A., Shaban, M., Abdelgawad, M. E., Mohammed, H. H., Hassan, S., & Sabek, E. M. (2025). Artificial intelligence–based chabots’ and nursing students’ academic performance: the mediating role of technophobia and technophilia. International Nursing Review, 72(3). https://doi.org/10.1111/inr.70056

Anatasya, E. P., & Sayekti, A. (2022). Pengaruh manajemen waktu terhadap prestasi akademik pada mahasiswa aktivis di organisasi kemahasiswaan fem IPB. Jurnal Manajemen Kewirausahaan, 19(2), 155. https://doi.org/10.33370/jmk.v19i2.875

Aproda, R. W., Prado, M. C., Maria, A. P. J., & Victoriano, N. S. (2024). The impact of ChatGPT on academic integrity and undergraduate students’ learning. Cognizance Journal of Multidisciplinary Studies, 4(12), 256-264. https://doi.org/10.47760/cognizance.2024.v04i12.025

Ariarta, A. P., Mu’in, M. L. A., Latif, M. S., Saadah, A. H., & Harini, S. (2024). Learning quality, time management and social support on student academic achievement. EDUKASIA: Jurnal Pendidikan Dan Pembelajaran, 5(2), 11-22. https://doi.org/10.62775/edukasia.v5i2.778

Aryal, M. (2024). Beyond the books: role of extracurricular activities in medical students. Journal of Nepal Medical Association, 62(274), 414-415. https://doi.org/10.31729/jnma.8613

Bahroun, Z., Anane, C., Ahmed, V., & Zacca, A. (2023). Transforming education: a comprehensive review of generative artificial intelligence in educational settings through bibliometric and content analysis. Sustainability, 15(17), 12983. https://doi.org/10.3390/su151712983

Begum, I. U. (2024). Role of artificial intelligence in higher education- an empirical investigation. International Research Journal on Advanced Engineering and Management (IRJAEM), 2(3), 49-53. https://doi.org/10.47392/irjaem.2024.0009

Beig, S., & Qasim, S. H. (2023). Assessing students’ attitude towards artificial intelligence with respect to gender and use of computer and mobile devices. International Journal for Multidisciplinary Research, 5(3). https://doi.org/10.36948/ijfmr.2023.v05i03.4130

Bhatnagar, R., & Raja, A. S. (2025). Role of AI in assisting college students with academic performance. ComFin Research, 13(S1-i2), 137-143. https://doi.org/10.34293/commerce.v13is1-i2.8752

Bhattacharya, R., Tipu, M. N. A., Sarker, B., & Durud, M. S. (2022). Exploring the interrelation between time management and academic achievement among university students. Asian Research Journal of Arts & Social Sciences, 28-37. https://doi.org/10.9734/arjass/2022/v17i230302

Boillat, T., Nawaz, F. A., & Rivas, H. (2022). Readiness to embrace artificial intelligence among medical doctors and students: questionnaire-based study. JMIR Medical Education, 8(2), e34973. https://doi.org/10.2196/34973

Bond, M. (2024). A meta-systematic review of artificial intelligence in higher education. International Journal of Educational Technology in Higher Education, 21(1), Article 24. https://educationaltechnologyjournal.springeropen.com/articles/10.1186/s41239-023-00436-z SpringerOpen

Brian, R., Murillo, A., Gomes, C., & Alseidi, A. (2024). Artificial intelligence and robotic surgical education. Global Surgical Education - Journal of the Association for Surgical Education, 3(1). https://doi.org/10.1007/s44186-024-00262-5

Buchanan, C., Howitt, M. L., Wilson, R., Booth, R., Risling, T., & Bamford, M. (2021). Predicted influences of artificial intelligence on nursing education: scoping review. JMIR Nursing, 4(1). https://doi.org/10.2196/23933

Buctot, D. B., Kim, N., & Kim, S. H. (2021). Personal profiles, family environment, patterns of smartphone use, nomophobia, and smartphone addiction across low, average, and high perceived academic performance levels among high school students in the Philippines. International Journal of Environmental Research and Public Health, 18(10), 5219. https://doi.org/10.3390/ijerph18105219

Burger, B., Kanbach, D. K., Kraus, S., Breier, M., & Corvello, V. (2023). On the use of AI-based tools like ChatGPT to support management research. European Journal of Innovation Management, 26(7), 233-241. https://doi.org/10.1108/ejim-02-2023-0156

Calatayud, V. G., Espinosa, M. P. P., & Roig-Vila, R. (2021). Artificial intelligence for student assessment: a systematic review. Applied Sciences, 11(12), 5467. https://doi.org/10.3390/app11125467

Capinding, A. T., & Dumayas, F. T. (2024). Transformative pedagogy in the digital age: Unraveling the impact of artificial intelligence on higher education students. Problems of Education in the 21st Century, 82(5), 630-657. https://doi.org/10.33225/pec/24.82.630

Çayir, A. (2023). A literature review on the effect of artificial intelligence on education. İnsan Ve Sosyal Bilimler Dergisi, 6(2), 276-288. https://doi.org/10.53048/johass.1375684

Chan, C. K. Y. (2023). A comprehensive AI policy education framework for university teaching and learning. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00408-3

Chan, C. K. Y., & Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00411-8

Chen, P. S., Li, J., & Kim, S. (2021). Structural relationship among mobile phone dependence, self-efficacy, time management disposition, and academic procrastination in college students. Iranian Journal of Public Health. https://doi.org/10.18502/ijph.v50i11.7582

Crompton, H., & Burke, D. (2023). Artificial intelligence in higher education: The state of the field. International Journal of Educational Technology in Higher Education, 20(1). https://doi.org/10.1186/s41239-023-00392-8

Crompton, H., & Song, D. (2021). The potential of artificial intelligence in higher education. Revista Virtual Universidad Católica Del Norte, (62), 1-4. https://doi.org/10.35575/rvucn.n62a1

Cukurova, M. (2024). The interplay of learning, analytics and artificial intelligence in education: A vision for hybrid intelligence. British Journal of Educational Technology, 56(2), 469-488. https://doi.org/10.1111/bjet.13514

Curtis, N. (2023). To ChatGPT or not to ChatGPT? The impact of artificial intelligence on academic publishing. Pediatric Infectious Disease Journal, 42(4), 275-275. https://doi.org/10.1097/inf.0000000000003852

Dacholfany, M. I., Marjoni, M. R., Erwis, F., Siswanto, E., & Susanto, A. (2023). Harnessing artificial intelligence to increase the efficiency of education management in the future. Al-Fikrah: Jurnal Manajemen Pendidikan, 11(2), 245. https://doi.org/10.31958/jaf.v11i2.10557

Delcker, J., Heil, J., Ifenthaler, D., Seufert, S., & Spirgi, L. (2024). First-year students' AI-competence as a predictor for intended and de facto use of AI-tools for supporting learning processes in higher education. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00452-7

Dempere, J., Modugu, K. P., Hesham, A., & Ramasamy, L. K. (2023). The impact of ChatGPT on higher education. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1206936

Deng, X., & Yu, Z. (2023). A meta-analysis and systematic review of the effect of chatbot technology use in sustainable education. Sustainability, 15(4), 2940. https://doi.org/10.3390/su15042940

Dergaa, I., Chamari, K., Żmijewski, P., & Saad, H. B. (2023). From human writing to artificial intelligence-generated text: Examining the prospects and potential threats of ChatGPT in academic writing. Biology of Sport, 40(2), 615-622. https://doi.org/10.5114/biolsport.2023.125623

Dhulipala, A. B. M. (2025). Analyzing the impact of AI on exam preparation and student performance in higher education. Journal of Informatics Education and Research, 5(2). https://doi.org/10.52783/jier.v5i2.2924

Dobrovská, D., Vaněček, D., & Yorulmaz, Y. İ. (2024). Students’ attitudes towards ai in teaching and learning. International Journal of Engineering Pedagogy (iJEP), 14(8), 88-106. https://doi.org/10.3991/ijep.v14i8.52731

Dong, L., Zhang, Y., & Xu, H. (2025). Examining the effect of artificial intelligence in relation to students’ academic performance: A meta-analysis. Discover Education, 4(1), 45. https://www.sciencedirect.com/science/article/pii/S2666920X25000402 ScienceDirect

Drouet, E. M. R., Salazar, D., Domínguez, T. L. C., & Pinthsa, P. J. C. (2024). Analysis of the repercussions of artificial intelligence in the personalization of the virtual educational process in higher education programs. Data and Metadata, 3, 386. https://doi.org/10.56294/dm2024386

Ebrahimi, A. (2023). Self-directed and self-designed learning: integrating imperative topics in the case of COVID-19. Technologies, 11(4), 85. https://doi.org/10.3390/technologies11040085

Elmahdy, M., & Anwer, M. (2023). Effect of time-management on the academic performance of medical students, Benha University: a cross-sectional study. The Egyptian Journal of Hospital Medicine, 93(1), 7382-7392. https://doi.org/10.21608/ejhm.2023.324583

Enríquez, B. G. A., Jordan, O. H., Angaspilco, J. E. M., Heredia-Pérez, O., Ruiz-Carrillo, J. R., Blanco-García, L. E., & Villalobos, S. M. V. P. d. (2025). The mediating role of work stress and the performance expectations in the effect of academic overload on the use of AI models among preservice teachers: a cross-sectional study. BMC Psychology, 13(1). https://doi.org/10.1186/s40359-025-03367-8

Erbaşı, Z., Tural, B., & Çoşkuner, İ. (2023). The role and potential of artificial intelligence and gamification in education: the example of Vakıf Participation Bank. Orclever Proceedings of Research and Development, 3(1), 243-254. https://doi.org/10.56038/oprd.v3i1.329

Ezeoguine, E. P., & Eteng-Uket, S. (2024). Artificial intelligence tools and higher education students’ engagement. Edukasiana: Jurnal Inovasi Pendidikan, 3(3), 300-312. https://doi.org/10.56916/ejip.v3i3.733

Faridoon, N., Talpur, Q., Latif, F., Naz, G., & Shahzad, T. (2025). The role of AI tutors in improving academic performance and student engagement. ACADEMIA International Journal for Social Sciences, 4(3), 5897-5910. https://doi.org/10.63056/acad.004.03.0837

Fauzi, F., Tuhuteru, L., Sampe, F., Ausat, A. M. A., & Hatta, H. R. (2023). Analysing the role of ChatGPT in improving student productivity in higher education. Journal on Education, 5(4), 14886-14891. https://doi.org/10.31004/joe.v5i4.2563

Fazil, A. W., Hakimi, M., Shahidzay, A. K., & Hasas, A. (2024). Exploring the broad impact of AI technologies on student engagement and academic performance in university settings in Afghanistan. RIGGS: Journal of Artificial Intelligence and Digital Business, 2(2), 56-63. https://doi.org/10.31004/riggs.v2i2.268

Fitria, T. N. (2023). The use of artificial intelligence in education (AIED): Can AI replace the teacher's role? EPIGRAM (E-Journal), 20(2), 165-187. https://doi.org/10.32722/epi.v20i2.5711

Ganzon, W. J., & Edig, M. M. N. (2022). Time management and self-directed learning as predictors of academic performance of students in mathematics. Journal of Social, Humanity, and Education, 3(1), 57-75. https://doi.org/10.35912/jshe.v3i1.1212

Gao, H. (2022). Online AI‐Guided Video Extraction for Distance Education with Applications. Mathematical Problems in Engineering, 2022(1), 5028726.

George, B., & Wooden, O. S. (2023). Managing the strategic transformation of higher education through artificial intelligence. Administrative Sciences, 13(9), 196. https://doi.org/10.3390/admsci13090196

Ghafar, Z. N. (2023). The relevance of time management in academic achievement: a critical review of the literature. International Journal of Applied and Scientific Research, 1(4), 347-358. https://doi.org/10.59890/ijasr.v1i4.1008

Ghaffar, Z., Hussain, M., Mobeen, M., Lak, T. A., & Sadia, H. (2025). Artificial intelligence integration: its role and usage among university students. The Knowledge, 4(2), 95-110. https://doi.org/10.55737/tk/2k25b.42061

Ghalia, N., Isami, E., Bsoul, M., Aabed, S., Haeb, R. S., & Mustafa, M. S. S. (2024). Impact of artificial intelligence in education: insights from students and faculty members at Yarmouk University. Journal of Ecohumanism, 3(8). https://doi.org/10.62754/joe.v3i8.4807

González-Rico, P., & Sintes, M. L. (2024). Empowering soft skills through artificial intelligence and personalised mentoring. Education Sciences, 14(7), 699. https://doi.org/10.3390/educsci14070699

Grassini, S. (2023). Shaping the future of education: exploring the potential and consequences of AI and ChatGPT in educational settings. Education Sciences, 13(7), 692. https://doi.org/10.3390/educsci13070692

Guo, Z., Zhu, H., & Xu, X. (2023). Analysis of the impact of artificial intelligence on college students' learning. The Frontiers of Society, Science and Technology, 5(13). https://doi.org/10.25236/fsst.2023.051318

Han, S. J., Nagduar, S., & Yu, H. (2023). Digital addiction and related factors among college students. Healthcare, 11(22), 2943. https://doi.org/10.3390/healthcare11222943

Herath, D. B., Ode, E., & Herath, G. B. (2025). Can AI replace humans? comparing the capabilities of AI tools and human performance in a business management education scenario. British Educational Research Journal, 51(3), 1073-1096. https://doi.org/10.1002/berj.4111

Hidayat, M. T., & Hasim, W. (2023). Putting it off until later: a survey-based study on academic procrastination among undergraduate students. Journal of Educational, Cultural and Psychological Studies (ECPS Journal), (28). https://doi.org/10.7358/ecps-2023-028-taha

Hong, W., Liu, R., Ding, Y., Jiang, S., Yang, X., & Sheng, X. (2021). Academic procrastination precedes problematic mobile phone use in Chinese adolescents: a longitudinal mediation model of distraction cognitions. Addictive Behaviors, 121. https://doi.org/10.1016/j.addbeh.2021.106993

Hoque, K. E., Wang, X., Yang, Q., & Norzan, N. (2023). The factors associated with teachers’ job satisfaction and their impacts on students’ achievement: a review (2010–2021). Humanities and Social Sciences Communications, 10(1). https://doi.org/10.1057/s41599-023-01645-7

Hu, L., Xiao, W., Zhu, W., Zhu, L., & Hu, Y. (2024). Impact of artificial intelligence, smart learning and belief about the future on academic performance & moderating effect of desire for knowledge. Profesional De La Información, 33(4). https://doi.org/10.3145/epi.2024.ene.0418

Hua, J. (2023). Beyond exams: investigating AI tool impact on student attitudes, ethical awareness, and academic dishonesty in online college assessments. International Journal of Educational Management and Development Studies, 4(4), 160-185. https://doi.org/10.53378/353030

Huang, J., Saleh, S., & Liu, Y. (2021). A review of artificial intelligence in education. Academic Journal of Interdisciplinary Studies, 10(3).

Hussain, H. N., Alabdullah, T. T. Y., Jamal, K. A. M., & Ahmed, E. R. (2023). Time management as a critical success factor in the oil industry of Basra governorate: an accounting information systems study. International Journal of Scientific and Management Research, 6(06), 59-76. https://doi.org/10.37502/ijsmr.2023.6605

Ifelebuegu, A. O., Kulume, P., & Cherukut, P. (2023). Chatbots and AI in education (AIED) tools: the good, the bad, and the ugly. Journal of Applied Learning & Teaching, 6(2). https://doi.org/10.37074/jalt.2023.6.2.29

Jeong, A., Ryu, S., Kim, S., Park, H., Hwang, H., & Park, K. (2023). Association between problematic smartphone use and physical activity among adolescents: a path analysis based on the 2020 Korea youth risk behavior web-based survey. Korean Journal of Family Medicine, 44(5), 268-273. https://doi.org/10.4082/kjfm.22.0154

Jingyu, X., Alibakhshi, G., Zamanpour, A., Zarei, M. A., Sherafat, S., & Behzadpoor, S. (2024). How AI literacy affects students’ educational attainment in online learning: testing a structural equation model in higher education context. The International Review of Research in Open and Distributed Learning, 25(3), 179-198. https://doi.org/10.19173/irrodl.v25i3.7720

Kawatra, M. B. (2024). Evolution of AI in academic research. Advances in Educational Technologies and Instructional Design, 18-22. https://doi.org/10.4018/979-8-3693-1798-3.ch002

Kelly, R. (2024). Survey: 86% of students already use AI in their studies. Campus Technology. https://campustechnology.com/articles/2024/08/28/survey-86-of-students-already-use-ai-in-their-studies.aspx Campus Technology

Khan, M. S. and Irfan, R. (2025). The role of artificial intelligence in academic achievement in the current scenario. International Journal for Multidisciplinary Research, 7(4). https://doi.org/10.36948/ijfmr.2025.v07i04.49965

Kharis, M., Ediyanto, E., Wijaya, D. N., Yafie, E., Waluyo, B., & Resultay, R. G. (2024). The impact of AI usage on transforming student learning culture in Indonesia in alignment with SDG 4. Journal of Ecohumanism, 3(8). https://doi.org/10.62754/joe.v3i8.4845

Klímová, B., Pikhart, M., & Kacetl, J. (2023). Ethical issues of the use of AI-driven mobile apps for education. Frontiers in Public Health, 10. https://doi.org/10.3389/fpubh.2022.1118116

Kostas, Α. and Manousou, E. (2025). Benefits and challenges of AI in higher distance education: students’ perceptions and practices in Hellenic Open University (HOU). Advances in Mobile Learning Educational Research, 5(2), 1560-1574. https://doi.org/10.25082/amler.2025.02.011

Kouam, A. W. F. (2024). AI in academic writing: Ally or foe? International Journal of Research Publications, 148(1). https://doi.org/10.47119/ijrp1001481520246427

Krejcie, R.V., & Morgan, D.W. (1970). Determining Sample Size for Research Activities. Educational and Psychological Measurement, 30, 607-610.

https://doi.org/10.1177/001316447003000308

Kuleto, V., Ilić, M., Dumangiu, M. A., Ranković, M., Martins, O., Păun, D., & Mihoreanu, L. (2021). Exploring opportunities and challenges of artificial intelligence and machine learning in higher education institutions. Sustainability, 13(18), 10424. https://doi.org/10.3390/su131810424

Kwak, Y., Ahn, J., & Seo, Y. H. (2022). Influence of AI ethics awareness, attitude, anxiety, and self-efficacy on nursing students’ behavioral intentions. BMC Nursing, 21(1). https://doi.org/10.1186/s12912-022-01048-0

Lai, J. W., Qiu, W., Thway, M., Zhang, L., Jamil, N., Su, C. L., & Lim, F. S. (2025). Leveraging process-action epistemic network analysis to illuminate student self-regulated learning with a Socratic chatbot. Journal of Learning Analytics, 12(1), 32-49. https://doi.org/10.18608/jla.2025.8549

Lai, T., Zeng, X., Xu, B., Xie, C., Liu, Y., Wang, Z., & Fu, S. (2023). The application of artificial intelligence technology in education influences Chinese adolescent’s emotional perception. Current Psychology, 43(6), 5309-5317. https://doi.org/10.1007/s12144-023-04727-6

Leeuwen, K. G. v., Rooij, M. d., Schalekamp, S., Ginneken, B. v., & Rutten, M. (2021). How does artificial intelligence in radiology improve efficiency and health outcomes?. Pediatric Radiology, 52(11), 2087-2093. https://doi.org/10.1007/s00247-021-05114-8

Lei, T., & Pan, F. (2023). Practice and exploration of conducting artificial intelligence teacher training in universities under the background of industry education integration. Adult and Higher Education, 5(13). https://doi.org/10.23977/aduhe.2023.051318

Li, S., & Lin, J. (2025). Enhancing academic engagement and needs satisfaction through AI: a mixed‐methods study in the Chinese EFL tertiary education context. European Journal of Education, 60(2). https://doi.org/10.1111/ejed.70110

Liu, X., & Huang, X. (2022). [Retracted] Design of Artificial Intelligence‐Based English Network Teaching (AI‐ENT) System. Mathematical problems in engineering, 2022(1).

Liulka, V., Savenkova, O., & Dedukhno, A. (2024). The peculiarities of using artificial intelligence in teaching foreign languages in higher education institutions in Ukraine. Humanities Science Current Issues, 2(73), 195-201. https://doi.org/10.24919/2308-4863/73-2-30

Lodge, J. M., Thompson, K., & Corrin, L. (2023). Mapping out a research agenda for generative artificial intelligence in tertiary education. Australasian Journal of Educational Technology, 39(1), 1-8. https://doi.org/10.14742/ajet.8695

Makarenko, О., Borysenko, O., Horokhivska, T., Kozub, V., & Yaremenko, D. (2024). Embracing artificial intelligence in education: shaping the learning path for future professionals. Multidisciplinary Science Journal, 6. https://doi.org/10.31893/multiscience.2024ss0720

Mariano, L. A., Madel, N. S., & Miranda, A. T. (2022). The relationship between time management skills and academic performance of working students in an open high school program. Asian Journal of Education and Social Studies, 61-66. https://doi.org/10.9734/ajess/2022/v36i2776

Mehta, N., Harish, V., Bilimoria, K., Morgado, F., Ginsburg, S., Law, M., & Das, S. (2021). Knowledge and attitudes on artificial intelligence in healthcare: a provincial survey study of medical students. MedEdPublish, 10(1). https://doi.org/10.15694/mep.2021.000075.1

Merkaš, M., Selak, M. B., & Žulec, A. (2024). Problematic smartphone use and communication in families with adolescents. Adolescents, 4(1), 107-119. https://doi.org/10.3390/adolescents4010008

Meron, Y., & Araci, Y. T. (2023). Artificial intelligence in design education: evaluating ChatGPT as a virtual colleague for post-graduate course development. Design Science, 9. https://doi.org/10.1017/dsj.2023.28

Ministry of Finance Malaysia. (2023). Malaysia’s first artificial intelligence learning centre to be set up in UTM: PM Anwar. https://www.mof.gov.my/portal/en/news/press-citations/malaysia-s-first-artificial-intelligence-learning-centre-to-be-set-up-in-utm-pm-anwar Ministry of Finance Malaysia

Ministry of Higher Education (MOHE) Malaysia. (2023). Statistics portal. https://www.mohe.gov.my/en/download/statistics mohe.gov.my

Mishra, V. (2025). Impact of artificial intelligence on students’ academic performance. International Journal of Innovative Science and Research Technology, 2549-2552. https://doi.org/10.38124/ijisrt/25jul1495

Moon, W., Kim, B., Kim, B., & Kim, J. (2024). Development of artificial intelligence education programs centered on deep learning principles. Nanotechnology Perceptions, 20(S2). https://doi.org/10.62441/nano-ntp.v20is2.6

Muslim, A. A., & Wahyuni, T. (2023). Spiritual Emotional Freedom Technique (SEFT) and time management to reduce academic stress in students during the COVID-19 pandemic. Indonesian Journal of Instructional Media and Model, 5(2), 85-95. https://doi.org/10.32585/ijimm.v5i2.4592

Namjoo, F., Liaghat, E., Shabaziasl, S., Modabernejad, Z., & Morshedi, H. (2023). Students' experience with self-study through AI. AI and Tech in Behavioral and Social Sciences, 1(3), 35-42. https://doi.org/10.61838/kman.aitech.1.3.6

Napoles, M. A. R., Altubar, J. A. B., & Anding, H. K. T. (2023). The role of time management in the academic performance of college students during the pandemic. International Journal of Social Sciences and Humanities Invention, 10(02), 7731-7741. https://doi.org/10.18535/ijsshi/v10i02.05

Nazari, N., Shabbir, M. S., & Setiawan, R. (2021). Application of artificial intelligence-powered digital writing assistant in higher education: Randomized controlled trial. Heliyon, 7(5). https://doi.org/10.1016/j.heliyon.2021.e07014

Ngo, T. T. A. (2024). The importance of soft skills for academic performance and career development—from the perspective of university students. International Journal of Engineering Pedagogy (iJEP), 14(3), 53-68. https://doi.org/10.3991/ijep.v14i3.45425

Nguyen, A., Ngo, H. N., Hong, Y., Dang, B., & Nguyen, B. T. (2022). Ethical principles for artificial intelligence in education. Education and Information Technologies, 28(4), 4221-4241. https://doi.org/10.1007/s10639-022-11316-w

Nickel, P. J. (2022). Trust in medical artificial intelligence: A discretionary account. Ethics and Information Technology, 24(1). https://doi.org/10.1007/s10676-022-09630-5

Nikolopoulou, Κ. (2024). Generative artificial intelligence in higher education: exploring ways of harnessing pedagogical practices with the assistance of ChatGPT. International Journal of Changes in Education, 1(2), 103-111. https://doi.org/10.47852/bonviewijce42022489

Noraini, A. W., Hanis, M. K. N., Aini, H. N., Salwana, M. S., & Syazana, R. N. (2023). Student’s perceptions of the effectiveness on time management skills in assisting their online distance learning. Jurnal Intelek, 18(2). https://doi.org/10.24191/ji.v18i2.22383

Onal, S., Kulavuz‐Onal, D., & Childers, M. (2025). Patterns of chatgpt usage and perceived benefits on academic performance across disciplines: insights from a survey of higher education students in the United States. Journal of Educational Technology Systems, 54(1), 34-66. https://doi.org/10.1177/00472395251341214

Onesi-Ozigagun, O., Ololade, Y. J., Eyo-Udo, N. L., & Ogundipe, D. O. (2024). Revolutionizing education through AI: a comprehensive review of enhancing learning experiences. International Journal of Applied Research in Social Sciences, 6(4), 589-607. https://doi.org/10.51594/ijarss.v6i4.1011

Orioque, J., & Selpa, H. D. (2021). Digital gaming: implications for undergraduate students’ study habits, academic achievement and time management. Journal of Innovative Technology Convergence, 3(2), 11-20. https://doi.org/10.69478/jitc2021v3n2a02

Owusu, S. K., Zimpa, J. B., Atta, F. A., & Darling, M. (2024). Evaluating the impact of AI-personalised learning systems in higher education, examining how they affect academic performance across different age groups at Kumasi Technical University. Journal of Artificial Intelligence, Machine Learning and Neural Network, (45), 19-29. https://doi.org/10.55529/jaimlnn.45.19.29

Pan, J. (2024). AI-driven English language learning program and academic writing integrity in the era of intelligent interface. English Language Teaching and Linguistics Studies, 6(4). https://doi.org/10.22158/eltls.v6n4p120

Pinzolits, R. F. J. (2023). AI in academia: an overview of selected tools and their areas of application. MAP Education and Humanities, 4(1), 37-50. https://doi.org/10.53880/2744-2373.2023.4.37

Puteri, S. A., Saputri, Y., & Kurniati, Y. (2024). The impact of artificial intelligence (ai) technology on students' social relations. BICC Proceedings, 2, 153-158. https://doi.org/10.30983/bicc.v1i1.121

Raisch, S., & Krakowski, S. (2021). Artificial intelligence and management: the automation–augmentation paradox. Academy of Management Review, 46(1), 192-210. https://doi.org/10.5465/amr.2018.0072

Ranieri, M., Biagini, G., & Cuomo, S. (2025). AI literacy in higher education. International Journal of Digital Literacy and Digital Competence, 16(1), 1-25. https://doi.org/10.4018/ijdldc.388469

Rienties, B., Herodotou, C., Tessarolo, F., Domingue, J., Duttaroy, S., & Whitelock, D. (2024). An institutional AI digital assistant: What do distance learners expect and value? Ubiquity Proceedings, 7. https://doi.org/10.5334/uproc.129

Romero, M., Casadevante, C., & Santacreu, J. (2023). Time management, fluid intelligence and academic achievement. Psychological Studies, 69(1), 59-68. https://doi.org/10.1007/s12646-023-00764-0

Rudolph, J., Tan, S., & Tan, S. (2023). War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. the new AI gold rush and its impact on higher education. Journal of Applied Learning & Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.23

Saranya, D., & Praveen, S. (2025). A study on the impact of AI apps usage among students. Juni Khyat, 15(03), 76-84. https://doi.org/10.36893/jk.2025.v15i3.018

Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18(1). https://doi.org/10.1186/s41239-021-00292-9

Shah, S., Jabeen, A., & Masood, F. (2025). Artificial intelligence in education for personalized learning: A case study of Mirpur University of Science and Technology (MUST). ACADEMIA International Journal for Social Sciences, 4(3), 5031-5041. https://doi.org/10.63056/acad.004.03.0775

Shehri, F. A., Maham, R., Malik, A., & Saif, O. B. (2023). Effects of ChatGPT on students' academic performance: Mediating role of prompt engineering. The Asian Bulletin of Big Data Management, 3(2), 137-147. https://doi.org/10.62019/abbdm.v3i2.58

Siminto, S., Akib, A., Hasmirati, H., & Widianto, D. S. (2023). Educational management innovation by utilizing artificial intelligence in higher education. Al-Fikrah: Jurnal Manajemen Pendidikan, 11(2), 284. https://doi.org/10.31958/jaf.v11i2.11860

Song, C. S. (2025). Harmonising minds: How AI-powered learning tools shape music education students' cognitive load, well‐being and academic success. European Journal of Education, 60(2). https://doi.org/10.1111/ejed.70122

Stewart, J., Lü, J., Gahungu, N., Goudie, A., Fegan, P. G., Bennamoun, M., & Dwivedi, G. (2023). Western Australian medical students’ attitudes towards artificial intelligence in healthcare. PlosOne, 18(8). https://doi.org/10.1371/journal.pone.0290642

Strzelecki, A. (2023). Students’ acceptance of ChatGPT in higher education: an extended unified theory of acceptance and use of technology. Innovative Higher Education, 49(2), 223-245. https://doi.org/10.1007/s10755-023-09686-1

Suan, A. F. (2023). Self–regulation as an antecedent of academic achievement: a mixed-method study. British Journal of Multidisciplinary and Advanced Studies, 4(4), 20-43. https://doi.org/10.37745/bjmas.2022.0246

Sukor, R., Ayub, A. F. M., Nor‐Khaizura, M. A. R., & Farawahida, A. H. (2021). Relationship between students’ engagement and academic performance among non-food science students enrolled in the food science course. Journal of Turkish Science Education, 18(4), 638-648. https://doi.org/10.36681/tused.2021.95

Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in higher education: considerations for academic integrity and student learning. Journal of Applied Learning & Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.17

Sulton, N. (2024). Elements of artificial intelligence course curriculum and content in general secondary schools. International Journal of Pedagogics, 4(3), 44-49. https://doi.org/10.37547/ijp/volume04issue03-08

Sun, J. C., Wang, Y., Hu, Z., Liu, Y., & Sun, Y. (2024). Cognitive offloading bias in primary and secondary school students and its relationship with metacognitive monitoring. British Journal of Developmental Psychology. https://doi.org/10.1111/bjdp.12540

Sun, L., & Zhou, L. (2024). Does generative artificial intelligence improve the academic achievement of college students? a meta-analysis. Journal of Educational Computing Research, 62(7), 1676-1713. https://doi.org/10.1177/07356331241277937

Sun, W., Jiang, Z., & Hai, S. (2025). The double-edged sword effect of interaction frequency with AI on college students: The moderating role of peer support. Behavioral Sciences, 15(9). https://doi.org/10.3390/bs15091267

Susilo, T. and Aritonang, S. (2023). Optimizing the potential of artificial intelligence in education management for ERA 5.0. Al-Fikrah: Jurnal Manajemen Pendidikan, 11(2), 219. https://doi.org/10.31958/jaf.v11i2.10371

Syofyan, R. (2023). The influence of student activity in organizations on students’ readiness in entering the world of work. Advances in Economics, Business and Management Research, 296-302. https://doi.org/10.2991/978-94-6463-158-6_26

Tabesh, P. (2021). Who’s making the decisions? how managers can harness artificial intelligence and remain in charge. Journal of Business Strategy, 43(6), 373-380. https://doi.org/10.1108/jbs-05-2021-0090

Tanjga, M. (2023). E-learning and the Use of AI: A Review of Current Practices and Future Directions. Qeios. https://doi.org/10.32388/AP0208

Tapalova, O., & Zhiyenbayeva, N. (2022). Artificial intelligence in education: AIED for personalised learning pathways. Electronic Journal of E-Learning, 20(5), 639-653. https://doi.org/10.34190/ejel.20.5.2597

Tartuk, M. (2023). Metaphorical perceptions of middle school students regarding the concept of artificial intelligence. International Journal of Education and Literacy Studies, 11(2), 108-116. https://doi.org/10.7575/aiac.ijels.v.11n.2p.108

Tiwari, R. (2023). The integration of AI and machine learning in education and its potential to personalize and improve student learning experiences. International Journal of Scientific Research in Engineering and Management, 7(02). https://doi.org/10.55041/ijsrem17645

Trisnawati, W., Putra, R. E., & Balti, L. (2023). The impact of artificial intelligence in education toward 21st-century skills: A literature review. PPSDP International Journal of Education, 2(2), 501-513. https://doi.org/10.59175/pijed.v2i2.152

Ullah, R., Asghar, A., Ali, M., & Jan, R. (2024). Studying how AI tools integrated with social media can help teachers manage classrooms by providing insights into student behavior, engagement levels, and areas needing improvement. Review of Education, Administration & Law, 7(4), 413-426. https://doi.org/10.47067/real.v7i4.393

Umaiba, N. (2025). The role of artificial intelligence in higher education: a special focus on commerce studies. Thiagarajar College of Preceptors Edu Spectra, 7(S1), 89-95. https://doi.org/10.34293/eduspectra.v7is1-feb25.011

UNESCO. (2024). Malaysia | Global AI Ethics and Governance Observatory: National AI Governance & Ethics Guidelines (AIGE). https://www.unesco.org/ethics-ai/en/malaysia unesco.org

Vieriu, A.-M., Manta, N., & Iacob, N. (2025). The impact of artificial intelligence on students’ learning processes and academic performance. Education Sciences, 15(3), 343. https://www.mdpi.com/2227-7102/15/3/343 MDPI

Wang, K., Cui, W., & Xue, Y. (2025). Artificial intelligence in higher education: the impact of need satisfaction on artificial intelligence literacy mediated by self-regulated learning strategies. Behavioral Sciences, 15(2), 165. https://doi.org/10.3390/bs15020165

Wang, X. (2022). Enhancing Chinese EFL students’ academic engagement: the impact of L2 enjoyment and academic motivation. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.914682

Wang, X., & Li, P. (2024). Assessment of the relationship between music students' self‐efficacy, academic performance and their artificial intelligence readiness. European Journal of Education, 59(4). https://doi.org/10.1111/ejed.12761

Wei, L. (2023). Artificial intelligence in language instruction: impact on English learning achievement, L2 motivation, and self-regulated learning. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1261955

Woods, D., Poe, L., Brooks, N., Korzaan, M., & Hulshult, A. (2024). Assessing student focus areas for self-directed metacognition and self-improvement. Journal of Effective Teaching in Higher Education, 7(1), 96-117. https://doi.org/10.36021/jethe.v7i1.362

Wu, R., & Yu, Z. (2023). Do AI chatbots improve students' learning outcomes? Evidence from a meta‐analysis. British Journal of Educational Technology, 55(1), 10-33. https://doi.org/10.1111/bjet.13334

Xames, M. D., & Shefa, J. (2023). ChatGPT for research and publication: opportunities and challenges. Journal of Applied Learning & Teaching, 6(1). https://doi.org/10.37074/jalt.2023.6.1.20

Xia, Q., Chiu, T. K., Chai, C. S., & Xie, K. (2023). The mediating effects of needs satisfaction on the relationships between prior knowledge and self-regulated learning through an artificial intelligence chatbot. British Journal of Educational Technology, 54(4), 967–986. https://bera-journals.onlinelibrary.wiley.com/doi/10.1111/bjet.13305

Xiao-yang, H., Junzhi, Z., Jingyuan, F., & Zhang, X. (2021). Effectiveness of ideological and political education reform in universities based on data mining artificial intelligence technology. Journal of Intelligent & Fuzzy Systems, 40(2), 3743-3754. https://doi.org/10.3233/jifs-189408

Xie, X. (2023). Influence of AI-driven inquiry teaching on learning outcomes. International Journal of Emerging Technologies in Learning (iJET), 18(23), 59-70. https://doi.org/10.3991/ijet.v18i23.45473

Xing, C. (2023). Research on the application of artificial intelligence empowered education management. Journal of Artificial Intelligence Practice, 6(6). https://doi.org/10.23977/jaip.2023.060602

Xu, S., Chen, P., & Zhang, G. (2024). Exploring Chinese university educators’ acceptance and intention to use AI tools: an application of the UTAUT2 model. Sage Open, 14(4). https://doi.org/10.1177/21582440241290013

Yas, M. A., İşçi, N., Alaçam, B., Caliskan, R., & Kulekci, E. (2021). Relationship between level of internet addiction and time management skills among nursing students. Perspectives in Psychiatric Care, 58(2), 758-766. https://doi.org/10.1111/ppc.12845

Yeadon, W., & Hardy, T. A. (2024). The impact of AI in physics education: A comprehensive review from GCSE to university levels. Physics Education, 59(2), 025010. https://doi.org/10.1088/1361-6552/ad1fa2

Yim, I. H. Y., & Wegerif, R. (2024). Teachers' perceptions, attitudes, and acceptance of artificial intelligence (AI) educational learning tools: An exploratory study on ai literacy for young students. Future in Educational Research, 2(4), 318-345. https://doi.org/10.1002/fer3.65

Youn, Chu & Hj Salam, Abdul Rahim & Rahman, Aida. (2025). AI-Driven Tools in Providing Feedback on Students’ Writing. International Journal of Research and Innovation in Social Science. IX. 58-67. https://dx.doi.org/10.47772/IJRISS.2025.903SEDU0006

Yu, H. (2023). Reflection on whether ChatGPT should be banned by academia from the perspective of education and teaching. Frontiers in Psychology, 14. https://doi.org/10.3389/fpsyg.2023.1181712

Yu, H., & Guo, Y. (2023). Generative artificial intelligence empowers educational reform: current status, issues, and prospects. Frontiers in Education, 8. https://doi.org/10.3389/feduc.2023.1183162

Zhai, G., Guo, K., & Li, S. (2023). Research on innovation of ideological and political education in universities based on artificial intelligence. Advances in Social Science, Education and Humanities Research, 27-32. https://doi.org/10.2991/978-2-38476-158-6_5

Zhang, C., & Zhang, W. (2022). The impact of academic procrastination on second language writing: The mediating role of l2 writing anxiety. Frontiers in Psychology, 13. https://doi.org/10.3389/fpsyg.2022.851120

Zhang, J. (2021). Reform and innovation of artificial intelligence technology for information service in university physical education. Journal of Intelligent & Fuzzy Systems, 40(2), 3325-3335. https://doi.org/10.3233/jifs-189372

Zhang, R. (2024). Application of “artificial intelligence + education” innovation model in higher education management and student training. Applied Mathematics and Nonlinear Sciences, 9(1). https://doi.org/10.2478/amns-2024-1027

Zhang, S., Diao, J., Ma, X., Tang, X., & Ding, X. (2024). What qualities do teachers need in the era of artificial intelligence: Analysis based on international experience. STEM Education Review, 2. https://doi.org/10.54844/stemer.2024.0557

Zhang, S., Zhao, X., Zhou, T., & Kim, J. H. (2024). Do you have an AI dependency? The roles of academic self-efficacy, Academic Stress, and Performance Expectations on problematic ai usage behavior. International Journal of Educational Technology in Higher Education, 21(1). https://doi.org/10.1186/s41239-024-00467-0

Zhang, Y., Rong-hua, L., Zhu, Y., & Yin, Y. (2021). Educational robots improve K-12 students’ computational thinking and STEM attitudes: systematic review. Journal of Educational Computing Research, 59(7), 1450-1481. https://doi.org/10.1177/0735633121994070

Zhao, C. (2025). Who is writing? the development and application of the AI-integrated writing framework (AWAI). Journal of Educational Technology and Innovation, 7(2). https://doi.org/10.61414/h2a5bt21

Zhou, J., Zhang, J., & Li, H. (2023). Exploring the use of artificial intelligence in teaching management and evaluation based on citation space analysis. Journal of Education and Educational Research, 3(2), 42-45. https://doi.org/10.54097/jeer.v3i2.9014

Zhu, L. (2023). Research on the practice of artificial intelligence technology promoting educational reform and innovation. The Frontiers of Society, Science and Technology, 5(14). https://doi.org/10.25236/fsst.2023.051412

Zimmerman, B.J. & Moylan, Adam. (2009). Self-regulation: Where metacognition and motivation intersect. Handbook of metacognition in education. 299-315. Retrieved from https://www.researchgate.net/publication/285323162_Self-regulation_Where_metacognition_and_motivation_intersect




DOI: http://dx.doi.org/10.46827/ejes.v12i12.6356

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