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2025-05-22
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Copyright (c) 2025 Analiza B. Calles

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How to Cite
Harnessing AI for content and strategies in instructional purposes: Limitations and red flags
Analiza B. Calles
School of Graduate Studies and School of Technology and Computer Studies, Biliran Province, State University, Naval, Biliran Province, 6541, Philippines
DOI: https://doi.org/10.59429/esp.v10i5.3235
Keywords: harnessing AI; content; strategies; instructional purposes; limitations, red flags
Abstract
This study examines the psychological effects of artificial intelligence (AI) in educational settings, with a particular focus on cognitive, behavioral, and social dimensions. Based on interviews with higher education instructors in Biliran Province, Philippines, the findings indicate that although AI tools ease cognitive load by automating repetitive tasks; however, they often lack the depth and contextual relevance necessary for specialized academic subjects. This shortfall may reduce cognitive engagement, as students could become overly dependent on AI-generated content, thereby weakening their critical thinking skills. Behaviorally, the shift toward AI reliance raises ethical concerns, as students are increasingly bypassing independent learning in favor of automated responses, thus threatening academic integrity. On a social level, AI affects student-instructor interactions and intensifies privacy concerns, with participants voicing apprehension about data security and AI-facilitated plagiarism. These findings highlight the importance of balanced AI integration—one that fosters cognitive engagement, upholds ethical academic behavior, and maintains authentic social interaction—to ensure responsible AI use in educational contexts.
References
[1]. 1.Huang, M.-H., & Rust, R. T. (2021). A strategic framework for artificial intelligence in marketing. Journal of the Academy of Marketing Science,49, 30-50
[2]. 2.Inoferio HV, Espartero MM, Asiri MS, et al. Coping with math anxiety and lack of confidence through AI-assisted learning. Environment and Social Psychology 2024; 9(5): 2228. Doi: 10.54517/esp.v9i5.2228
[3]. 3.Pettinato, M. C. (2021). Introduction to antibody-drug conjugates. Antibodies,10(4), 42. Pradhan, D., Sukla, L.
[4]. 4.Meilu Liu, Lawrence Jun Zhang, Christine Biebricher, Investigating students’ cognitive processes in generative AI-assisted digital multimodal composing and traditional writing, Computers & Education, Volume 211, 2024,104977,ISSN 0360-1315, https://doi.org/10.1016/j.compedu.2023.104977
[5]. 5.Duhaylungsod, A.V. and Chavez, J.V. (2023) ChatGPT and other AI Users: Innovative and
[6]. 6.Creative Utilitarian Value and Mindset Shift. Journal of Namibian Studies, 33 (2023): 4367–4378
[7]. 7.ISSN: 2197-5523 (online). Education, Technology
[8]. 8.Tyson, J. (2023). Shortcomings of ChatGPT. Journal of Chemical Education.
[9]. 9.Wang, Y. M., Wei, C. L., Lin, H. H., Wang, S. C.,&Wang, Y. S. (2022). What drives students’ AI learning behavior: a perspective of AI anxiety. Interactive Learning Environments, 32(6), 2584–2600. https://doi.org/10.1080/10494820.2022.2153147
[10]. 10.Faisal, Rehman&Sarhandi, Pir&Pathan, Habibullah. (2021). Harnessing Artificial Intelligence in Education for Preparing Learners for the 21st Century. İlköğretim Online. 20. 3186-3192.
[11]. 11.10.17051/ilkonline.2021.05.346.
[12]. 12.Yerin Seung (2024) The Impact of Artificial Intelligence on Cognitive Load. Retrieved from https://ciddl.org/the-impact-of-artificial-intelligence-on-cognitive-load/
[13]. 13.Kunasegaran, K., Ismail, A. M. H., Ramasamy, S., Gnanou, J. V., Caszo, B. A.,&Chen, P. L. (2023). Understanding mental fatigue and its detection: a comparative analysis of assessments and tools. PeerJ, 11, e15744. https://doi.org/10.7717/peerj.15744
[14]. 14.Xxx, Kdv&Kalvakolanu, Sripathi. (2023). THE STUDY OF COGNITIVE PSYCHOLOGY IN
[15]. 15.CONJUNCTION WITH ARTIFICIAL INTELLIGENCE. Conhecimento & Diversidade. 15. 270. 10.18316/rcd.v15i36.10788.
[16]. 16.Nizamani, M.., Ramzan, F., Fatima, M.., &Asif, M.. (2024). Investigating How Frequent Interactions with AI Technologies Impact Cognitive and Emotional Processes. Bulletin of Business and Economics (BBE), 13(3), 316-325. https://doi.org/10.61506
[17]. 17.Dehouche, N. (2021). Plagiarism in the age of massive generative pre-trained transformers (GPT-3). Ethics in Science and Environmental Politics, 21, 17–23. https://doi.org/10.3354/esep00195 [14]. Lampropoulos, G., Ferdig, R. E., & Kaplan-Rakowski, R. (2023). A social media data analysis of general and educational use of ChatGPT: Understanding emotional educators. SSRN. https://doi.org/10.2139/ssrn.4468181
[18]. 18. Sullivan, M., Kelly, A., & McLaughlan, P. (2023). ChatGPT in higher education: Considerations for academic integrity and student learning. Journal of Applied Learning & Teaching. https://doi.org/10.37074/jalt.2023.6.1.17
[19]. 19.Urlaub, P., & Dessein, E. (2022). From disrupted classrooms to human-machine collaboration?
[20]. 20.The pocket calculator, Google Translate, and the future of language education. L2 Journal, 14(1), 45– 59. https://doi.org/10.5070/L214151790
[21]. 21.Gizem Yalcin Williams, Sarah Lim, Psychology of AI: How AI impacts the way people feel, think, and behave, Current Opinion in Psychology,Volume 58,2024, 101835,ISSN 2352-250X, https://doi.org/10.1016/j.copsyc.2024.101835._____
[22]. 22.Almaraz-López, C., Almaraz-Menéndez, F.,&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
[23]. 23.Huallpa, J. J., Flores-Arocutipa, J., Panduro, W. D., Huete, L. C., Limo, F. A. F., Herrera, E. E., Callacna, R. A. A., Flores, V. A. A., Medina-Romero, M. Á., Quispe, I. M., & Hernández, F. A. H. (2023). Exploring the ethical considerations of using Chat GPT in University education. Periodicals of Engineering and Natural Sciences, 11(4), 105-115
[24]. 24.Kiryakova, G., & Angelova, N. (2023). ChatGPT—A challenging tool for the university Professors in their teaching practice. Education Sciences, 13(10), 1056. https://doi.org/10.3390/educsci13101056
[25]. 25.Yüzbaşıoğlu E. (2021). Attitudes and perceptions of dental students towards artificial Intelligence. Journal of dental education, 85(1), 60–68. https://doi.org/10.1002/jdd.12385
[26]. 26.Rodríguez-Ruiz, J., Marín-López, I. & Espejo-Siles, R. Is artificial intelligence use related to self-control, self-esteem and self-efficacy among university students?. Educ Inf Technol (2024). https://doi.org/10.1007/s10639-024-12906-6
[27]. 27.Paul, J., Ueno, A.,&Dennis, C. (2023). ChatGPT and consumers: Benefits, pitfalls and future research agenda. International Journal of Consumer Studies, 47(4), 1213–1225. https://doi.org/10.1111/ijcs.12928
[28]. 28.Yeo, M. A. (2023). Academic integrity in the age of artificial intelligence (AI) authoring apps. TESOL Journal. https://doi.org/10.1002/tesj.716
[29]. 29.Dwivedi, Y. K., Kshetri, N., Hughes, L., Slade, E. L., Jeyaraj, A., Kar, A. K., Baabdullah, A. M., Koohang, A., Raghavan, V.,&Ahuja, M. (2023). So what if ChatGPT wrote it? Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy. International Journal of Information Management, 71, 102642. https://doi.org/10.1016/j.ijinfomgt.2023.102642.
[30]. 30.Fitria, T. N. (2023). Artificial intelligence (AI) technology in OpenAI ChatGPT application: A review of ChatGPT in writing English essay. ELT Forum: Journal of English Language Teaching, 12(1), 44–58. https://doi.org/10.15294/elt.v12i1.64069
[31]. 31.Lund, B. D.,&Wang, T. (2023). Chatting about ChatGPT: How may AI and GPT impact academia and libraries? Library Hi Tech News, 40(3), 26–29. https://doi.org/10.1108/LHTN-01-20230009.
[32]. 32.Shen, Y., Heacock, L., Elias, J., Hentel, K. D., Reig, B., Shih, G., & Moy, L. (2023). ChatGPT and other large language models are double-edged swords. Radiology, 307(2), e230163. https://doi.org/10.1148/radiol.230163.
[33]. 33.Liebrenz, M., Schleifer, R., Buadze, A., Bhugra, D., & Smith, A. (2023). Generating scholarly content with ChatGPT: Ethical challenges for medical publishing. The Lancet Digital Health, 5(3), e105–e106. https://doi.org/10.1016/S2589-7500(23)00019-5
[34]. 34.Salah, M., Alhalbusi, H., Abdelfattah, F., & Ismail, M. M. (2023). Chatting with ChatGPT: Investigating the impact on Psychological Well-being and self-esteem with a focus on harmful stereotypes and job Anxiety as Moderator. https://doi.org/10.21203/rs.3.rs-2610655/v2.
[35]. 35.Kiger, M. E.,&Varpio, L. (2020). Thematic analysis of qualitative data: AMEE Guide No. 131. Medical teacher, 42(8), 846-854.
[36]. 36.Ceneciro, C. C. Estoque, M. R.,&Chavez, J. V. (2023). Analysis of Debate Skills to the Learners’
[37]. 37.Confidence and Anxiety in the Use of the English Language in Academic Engagements. Journal of Namibian Studies, 23, 4544-4569
[38]. 38.Verdeflor RN. Choosing science and mathematics programs in college: practical and psychological arbiters in career-pathing. Environment and Social Psychology 2024; 9(9): 2777. Doi: 10.59429/esp.v9i9.2777
[39]. 39.Liu, C., Hou, J., Tu, Y.-F., Wang, Y., & Hwang, G.-J. (2023). Incorporating a reflective thinking promoting mechanism into artificial intelligence-supported english writing environments. Interactive Learning Environments, 31(9), 5614–5632. https://doi.org/10.1080/10494820.2021.2012812
[40]. 40.Hanim, N., Aripin, N.,&Lin, N. M. (2020). Exploring the connection between critical thinking skills and academic writing. International Journal of Asian Social Science, 10(2), 118–128. https://doi.org/10.18488/journal.1.2020.102.118.128
[41]. 41.Kaeppel, K. (2021). The influence of collaborative argument mapping on college students’ critical thinking about contentious arguments. Thinking Skills and Creativity, 40, 100809. https://doi.org/10.1016/j.tsc.2021.100809
[42]. 42.Ahmad, S.F., Han, H., Alam, M.M. et al. Impact of artificial intelligence on human loss in decision making, laziness and safety in education. Humanit Soc Sci Commun 10, 311 (2023).
[43]. 43.https://doi.org/10.1057/s41599-023-01787
[44]. 44.Gao, C. A., Howard, F. M., Markov, N. S., Dyer, E. C., Ramesh, S., Luo, Y.,&Pearson, A. T. (2022). Comparing scientific abstracts generated by chatgpt to original abstracts using an artificial intelligence output detector, plagiarism detector, and blinded human reviewers. BioRxiv. 2022.12.23.521610
[45]. 45.Mbalaka, B. (2023). Epistemically violent biases in artificial intelligence design: The case of dalle-e 2 and starry ai. Digital Transformation and Society, 2, 376–402. https://doi.org/10.1108/DTS01-2023-0003
[46]. 46.De Angelis, L., Baglivo, F., Arzilli, G., Privitera, G. P., Ferragina, P., Tozzi, A. E.,&Rizzo, C. (2023). Chatgpt and the rise of large language models: The new ai-driven infodemic threat in public health. Frontiers in Public Health, 11, 1166120. https://doi.org/10.3389/fpubh.2023.1166120
[47]. 47.Alrazaq, A., AlSaad, R., Alhuwail, D., Ahmed, A., Healy, P. M., Latifi, S., Aziz, S., Damseh, R., Alrazak, S. A., & Sheikh, J. (2023). Large language models in medical education: Opportunities, challenges, and future directions. JMIR Medical Education, 9(1), e48291. https://doi.org/10.2196/48291
[48]. 48.Carvalho, D. V., Pereira, E. M., & Cardoso, J. S. (2019). Machine learning interpretability: A survey on methods and metrics. Electronics, 8(8), 832. https://doi.org/10.3390/electronics8080832
[49]. 49.Hohenstein, J., Kizilcec, R. F., DiFranzo, D., Aghajari, Z., Mieczkowski, H., Levy, K., Naaman, M., Hancock, J.,&Jung, M. F. (2023). Artificial intelligence in communication impacts Language and social relationships. Scientific Reports, 13(1), 5487.
[50]. 50.Puteri, Septiani&Saputri, Yulia&Kurniati, Yarni. (2024). The Impact of Artificial Intelligence (AI) Technology on Students’ Social Relations. BICC Proceedings. 2. 153-158.
[51]. 51.10.30983/bicc.v1i1.121.
[52]. 52.Zhai, C., Wibowo, S.&Li, L.D. The effects of over-reliance on AI dialogue systems on students’ cognitive abilities: a systematic review. Smart Learn. Environ. 11, 28 (2024). https://doi.org/10.1186/s40561-024-00316-7






