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The Influence of Artificial Intelligence-Assisted Instruction on Students’ Academic Performance and Attitudinal Dispositions

Authors

  • Lily Anne O. Climente Northeastern College, Inc. Graduate School, Santiago City
  • Celso C. Dumalig Northeastern College, Inc. Graduate School, Santiago City

DOI:

https://doi.org/10.55927/ijsmr.v4i8.119

Keywords:

Artificial Intelligence-Assisted Instruction, Academic Performance, Attitudinal Dispositions

Abstract

This study examines the influence of Artificial Intelligence (AI)–assisted instruction on the academic performance and attitudinal dispositions of senior high school students. Using a quantitative descriptive-correlational design, data will be gathered from 100 students through a researcher-made questionnaire and academic performance records. The study will assess students' motivation, engagement, self-efficacy, and learning satisfaction, and determine the relationship and predictive influence of AI-assisted instruction on these variables. Data will be analyzed using mean, standard deviation, Pearson Product-Moment Correlation, and multiple regression analysis. The findings are expected to provide empirical evidence on the effectiveness of AI-assisted instruction and serve as a basis for improving technology-enhanced teaching and learning practices in educational institutions.

References

Abimbola, C., Okeke, J., & Musa, A. (2024). Algorithmic bias and unequal access in AI-supported education. Computers & Education, 194, 104690. https://doi.org/10.1016/j.compedu.2024.104690

Abrar, M., Khan, S., & Ali, R. (2025). Quasi-experimental evaluation of AI-based learning systems: Effects on performance, engagement, and efficiency. Computers & Education, 197, 104715. https://doi.org/10.1016/j.compedu.2025.104715

Aderibigbe, A. O., Bello, R., & Adeyemi, T. (2023). Infrastructure limitations and skill gaps in AI adoption for developing countries. Education and Information Technologies, 28(3), 3121–3138. https://doi.org/10.1007/s10639-023-3121

Alfiana, M., Jani, C., Khayira, N., Nurjanah, S. S., & Wardiyah, M. (2025). Hubungan antara penggunaan AI terhadap tingkat pembelajaran mahasiswa. Jurnal Ilmiah Ekonomi, Akuntansi, dan Pajak.

Ali, Z. A., Hussain, M., & Farooq, S. (2025). Addressing equity in AI-driven education: Policy and practice implications. Education and Information Technologies, 30(5), 2501–2520. https://doi.org/10.1007/s10639-025-11501

Amanullah, A., Khan, R., & Hussain, S. (2025). Adaptive AI platforms and feedback: Supporting autonomy and competence in education. Educational Technology & Society, 28(1), 45–59. https://doi.org/10.1007/ets.2025.45

Anierobi, E., Amjad, A. I., Agogbua, V. U., Aslam, S., Fakhrou, A., et al. (2025). Artificial intelligence utilization: A determinant of academic self-efficacy, engagement, and satisfaction of university students. Environment and Social Psychology.

Badarudin, B., Rahman, N., & Idris, H. (2024). Systematic review of AI applications in education: Impacts on personalized learning and student motivation. Education and Information Technologies, 29(6), 8123–8145. https://doi.org/10.1007/s10639-024-8123

Badarudin, Parhanuddin, L., Tohri, A., & Suhardi, M. (2024). The effect of AI (Artificial Intelligence) in education on student motivation: A systematic literature review. Journal for Lesson and Learning Studies.

Bamigboye, B. A. (2026). An exploratory review of artificial intelligence for predicting students’ academic performance. Journal of Advanced Research in Social Sciences and Humanities.

Bation, N. D., & Pudan, J. C. (2024). Exploring the correlation between students’ attitudes towards AI and their learning outcomes. International Journal of Social Science and Human Research.

Bauer, E., Schmidt, L., & Hoffmann, T. (2025). AI literacy and pedagogical readiness: Conditional benefits of AI-supported learning. Journal of Educational Technology Research, 39(1), 55–72. https://doi.org/10.1016/j.jetr.2025.55

Bhavani, B. D., Reddy, K., & Rao, S. (2025). Gamification and instant feedback in AI technologies: Enhancing student motivation and engagement. Computers & Education, 200, 104735. https://doi.org/10.1016/j.compedu.2025.104735

Cervantes, J., Lopez, A., & Ramirez, P. (2025). Perceived usefulness and ease of use in AI adoption: Evidence from business students. Journal of Educational Technology Systems, 54(2), 145–162. https://doi.org/10.1177/004723952512145

Cervantes, J., Lopez, A., & Ramirez, P. (2025). Perceived usefulness and ease of use in AI adoption: Evidence from business students. Journal of Educational Technology Systems, 54(2), 145–162. https://doi.org/10.1177/004723952512145

Chen, L., Zhang, Y., & Wang, H. (2020). Customized curriculum design using artificial intelligence for improved learner retention. Journal of Educational Technology Research, 38(2), 115–130. https://doi.org/10.1016/j.jetr.2020.115130

Chen, X., Xie, H., Qin, S. J., Wang, F., & Hou, Y. (2025). Artificial intelligence-supported student engagement research: Text mining and systematic analysis. European Journal of Education.

Co, S. J., Reyes, M., & Santos, L. (2025). AI in Philippine education: Opportunities and barriers across 43 studies. Asia Pacific Journal of Education, 45(1), 77–95. https://doi.org/10.1080/02188791.2025.77

Cooper, G. (2008). Cognitive load theory and its application in learning and instruction. Educational Psychology Review, 20(1), 1–19. https://doi.org/10.1007/s10648-007-9053-4

Davar, N. F., Ali, H., & Khan, R. (2025). Data privacy and algorithmic bias in AI education systems. Journal of Educational Computing Research, 63(3), 455–472. https://doi.org/10.1177/07356331250455

Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1993). User acceptance of computer technology: A test of the Technology Acceptance Model. Management Science, 35(8), 982–1003. https://doi.org/10.1287/mnsc.35.8.982

De Vega, N., Santoso, R., & Pratama, A. (2023). Autonomy, competence, and relatedness in AI-supported learning environments: Evidence from Indonesian universities. Journal of Educational Computing Research, 61(3), 589–610. https://doi.org/10.1177/073563312311589

De Vega, N., Santoso, R., & Pratama, A. (2023). Autonomy, competence, and relatedness in AI-supported learning environments: Evidence from Indonesian universities. Journal of Educational Computing Research, 61(3), 589–610. https://doi.org/10.1177/073563312311589

Dewi Ayu Rohana, D., Ardhiansyah, A. N., & Widodo, D. P. (2024). Digital learning with artificial intelligence (AI): The correlation of AI to student learning motivation. International Conference on Applied Social Sciences in Education.

Dey, N., Singh, R., & Banerjee, A. (2025). Natural language processing for automated grading and feedback in education. Journal of Educational Computing Research, 63(1), 56–74. https://doi.org/10.1177/07356331251256

Elam, K. M., Ibrahim, S., & Hassan, F. (2024). Unequal access to AI technologies in education: A global perspective. Education and Information Technologies, 29(7), 9231–9248. https://doi.org/10.1007/s10639-024-9231

Eltahir, M., Al-Harthi, A., & Al-Khalifa, H. (2024). Comparative study of AI-powered tools in higher education: Academic performance and motivation outcomes. Interactive Learning Environments, 32(6), 845–864. https://doi.org/10.1080/10494820.2024.845864

English, V. (2025). The effect of artificial intelligence on student confidence in online adult learning: A meta-analysis and systematic review. International Journal of Educational Studies.

English, V., Brown, T., & Miller, S. (2025). Meta-analysis of AI interventions in online adult learning: Effects on student confidence and self-efficacy. Computers & Education, 200, 104740. https://doi.org/10.1016/j.compedu.2025.104740

Estrada-Araoz, E. G., Mamani-Roque, M., Quispe-Aquise, J., Manrique-Jaramillo, Y. V., & Cruz-Laricano, E. O. (2025). Academic self-efficacy and dependence on artificial intelligence in a sample of university students. Sapienza: International Journal of Interdisciplinary Studies.

Ezeoguine, E. P., Okafor, J., & Nwankwo, C. (2024). Student engagement in AI-supported learning environments: Survey evidence. Interactive Learning Environments, 32(8), 1567–1584. https://doi.org/10.1080/10494820.2024.1567

Farhat, T., Ali, M., Batool, M., Nagal, C. J. C., & Ahmad, R. (2025). Artificial intelligence in education: Enhancing student engagement and academic success. Research Journal for Social Affairs.

Fidan, M., Kaya, H., & Demir, S. (2022). The role of AI feedback mechanisms in improving learning performance. Interactive Learning Environments, 30(7), 1125–1142. https://doi.org/10.1080/10494820.2022.1125

Galindo-Domínguez, H., López, M., & Torres, J. (2025). AI instruction and psychological needs: A longitudinal study with adolescents. Computers & Education, 196, 104707. https://doi.org/10.1016/j.compedu.2025.104707

Gašević, D., Dawson, S., & Siemens, G. (2023). Ethical challenges in AI-driven education: Data privacy, bias, and inequality. Computers & Education, 190, 104601. https://doi.org/10.1016/j.compedu.2023.104601

González-Pérez, S., Molina-López, M. M., Rico, P. G., & Montesinos, G. A. F. (2025). Academic self-efficacy and diversity during the artificial intelligence era. Revista Prisma Social.

Goyal, A., Mehra, P., & Singh, R. (2025). Avoiding inversion effects in AI-assisted instruction: Pedagogical strategies for effective integration. Computers & Education, 198, 104721. https://doi.org/10.1016/j.compedu.2025.104721

Grace, E., Thomas, J., & Patel, R. (2023). Conceptual challenges of AI in education: Privacy, bias, and equity. Review of Educational Research, 93(2), 201–220. https://doi.org/10.3102/0034654323201

Grubaugh, S., Patel, R., & Lin, J. (2023). Constructivist pedagogy and AI platforms: ChatGPT and BARD in higher education. International Journal of Educational Technology in Higher Education, 20(1), 45–62. https://doi.org/10.1186/s41239-023-0045-2

Grubaugh, S., Patel, R., & Lin, J. (2023). Constructivist pedagogy and AI platforms: ChatGPT and BARD in higher education. International Journal of Educational Technology in Higher Education, 20(1), 45–62. https://doi.org/10.1186/s41239-023-0045-2

Gupta, T., Sharma, V., & Patel, R. (2024). AI-enabled personalized learning paths and timely feedback in higher education. Education and Information Technologies, 29(4), 2157–2175. https://doi.org/10.1007/s10639-024-2157

Gyönyörű, K. I. K., Kovács, A., & Horváth, J. (2024). Personalized learning through AI: Evidence from European classrooms. Journal of Computer Assisted Learning, 40(3), 589–604. https://doi.org/10.1111/jcal.12604

Handoko, B. L., Thomas, G., & Indriaty, L. (2024). Adoption and utilization of artificial intelligence to enhance student learning satisfaction. International Conferences on Information Science and System.

Hidayat-ur-Rehman, I., Akhtar, M., & Saleem, F. (2024). AI competence, chatbot usage, and autonomy in student engagement: A correlational study. Interactive Learning Environments, 32(5), 745–762. https://doi.org/10.1080/10494820.2024.745762

Hidayat-ur-Rehman, I., Akhtar, M., & Saleem, F. (2024). AI competence, chatbot usage, and autonomy in student engagement: A correlational study. Interactive Learning Environments, 32(5), 745–762. https://doi.org/10.1080/10494820.2024.745762

Hmoud, M., Al-Saleh, A., & Hassan, R. (2024). ChatGPT in EFL contexts: Motivational outcomes of AI-assisted learning. Journal of Language Teaching and Research, 15(2), 245–259. https://doi.org/10.17507/jltr.152.245

Imran, F., Khan, A., & Lee, S. (2025). Adaptive learning through machine learning algorithms: Personalization in higher education. Educational Data Mining Journal, 17(1), 77–95. https://doi.org/10.1145/edmj.2025.77

Imran, M., Ali, S., & Rahman, T. (2024). Constructivist theory as a framework for AI-facilitated personalized learning. Journal of Learning Sciences, 33(4), 521–540. https://doi.org/10.1080/jls.2024.521540

Imran, M., Ali, S., & Rahman, T. (2024). Constructivist theory as a framework for AI-facilitated personalized learning. Journal of Learning Sciences, 33(4), 521–540. https://doi.org/10.1080/jls.2024.521540

Jamaluddin, W. Z., Putra, A., & Sari, D. (2025). AI-assisted learning and student motivation: Evidence from Indonesian higher education. Journal of Educational Computing Research, 63(5), 987–1005. https://doi.org/10.1177/073563312512987

Jeong, D., Kim, H., & Park, J. (2025). Conversational AI with visual progress feedback: Impacts on student self-efficacy. Interactive Learning Environments, 33(4), 612–629. https://doi.org/10.1080/10494820.2025.612629

Joseph, S., Mathew, R., & George, P. (2024). Real-time feedback and engagement in hybrid AI learning environments. Computers in Human Behavior, 145, 107719. https://doi.org/10.1016/j.chb.2024.107719

Kamil, A., Siddiqui, N., & Farooq, T. (2025). AI integration and personalized learning: Correlational evidence from university students. Journal of Educational Computing Research, 63(4), 789–808. https://doi.org/10.1177/073563312512789

Kaur, D. (2026). Role of AI in enhancing teaching learning processes and academic performance. International Journal for Multidimensional Research Perspectives.

Khan, G. M., Ali, Z., & Khalid, A. (2025). The impact of artificial intelligence based personalized learning on students motivation and self-regulated learning. Review of Applied Management and Social Sciences.

Kittredge, A. K., Johnson, L., & Chen, Y. (2025). Generative AI features in language learning: Effects on self-efficacy for speaking and grammar. Language Learning & Technology, 29(1), 45–63. https://doi.org/10.1016/j.llt.2025.45

Kollerup, N. K., Hansen, M., & Nielsen, P. (2025). AI encouragement and self-efficacy in health self-examination tasks. Journal of Educational Computing Research, 63(6), 1201–1218. https://doi.org/10.1177/07356331251201

Kotsari, K., Papadopoulos, G., & Dimitriadis, Y. (2025). Systematic review of AI in constructivist learning: Opportunities and challenges. Review of Educational Research, 95(2), 211–235. https://doi.org/10.3102/00346543251211

Lampou, R., Georgiou, P., & Papadopoulos, G. (2023). Teacher resistance and training gaps in AI adoption. International Journal of Educational Technology in Higher Education, 20(2), 56–72. https://doi.org/10.1186/s41239-023-0056

Liang, H., & Reiss, M. J. (2025). The associations between students’ attitudes toward AI and learning engagement: Serial mediating roles of perceived autonomy and learning enjoyment. Frontiers in Psychology.

Liu, Q., Zhang, H., & Chen, Y. (2025). AI tutoring systems and cognitive load optimization in adaptive learning environments. Computers & Education, 201, 104748. https://doi.org/10.1016/j.compedu.2025.104748

Liu, Q., Zhang, Y., & Chen, H. (2024). AI-supported instruction and critical thinking in geology education. Thinking Skills and Creativity, 52, 101234. https://doi.org/10.1016/j.tsc.2024.101234

Liu, Y., Zhang, Q., & Chen, R. (2025). AI tutoring systems and cognitive load reduction: Personalized content delivery in higher education. Journal of Artificial Intelligence in

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2026-08-29 — Updated on 2026-09-07

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