Open Journal Systems

Can critical thinking and AI work together? Observations of science, Mathematics, and language instructors

Naneta M. Panit

Article ID: 3141
Vol 9, Issue 11, 2024, Article identifier:

VIEWS - 87 (Abstract) 79 (PDF)

Abstract

AI tools, such as intelligent tutoring systems, chatbots, and adaptive learning platforms, allow instructors to design teaching strategies based on individual student needs, learning styles, and progress. This exploratory study discussed the implications of AI use in classrooms for student’s critical thinking. Science, mathematics, and language instructors (n=40) were purposively sampled to be interviewed in the study. Narrative data was analyzed for recurring themes through reflexive thematic analysis. Findings indicated that AI has an alternate purpose in developing and possibly obstructing students’ critical thinking skills. AI tools like chatbots and personalized learning systems can enhance critical thinking by promoting cognitive flexibility, reflective thinking, and systematic analysis. Teachers use AI to encourage students to analyze AI-generated results and compare them to theoretical frameworks, developing deeper engagement with content across subjects like science, mathematics, and language. However, the study also observed that over-reliance on AI can lead to superficial understanding and uncritical acceptance of information. Students sometimes bypass the cognitive work necessary for critical thinking, treating AI as a shortcut rather than a tool for deeper learning. As such, while AI can significantly enhance learning when used appropriately, instructors must guide its use carefully to avoid negative impacts on critical thinking.


Keywords

artificial intelligence; critical thinking; learning; technology

Full Text:

PDF



References

1. Quinn, S., Hogan, M., Dwyer, C., Finn, P., & Fogarty, E. (2020). Development and validation of the student-educator negotiated critical thinking dispositions scale (SENCTDS). Thinking Skills and Creativity, 38(4), 100710–17. https://doi.org/10.1016/j.tsc.2020.100710

2. Shanta, S., & Wells, J. G. (2022). T/E design based learning: Assessing student critical thinking and problem solving abilities. International Journal of Technology and Design Education, 32(1), 267–285. https://doi.org/10.1007/s10798-020-09608-8

3. Alam, A. (2022). Employing adaptive learning and intelligent tutoring robots for virtual classrooms and smart campuses: Reforming education in the age of artificial intelligence. Advanced Computing and Intelligent Technologies: Proceedings of ICACIT 2022(pp. 395–406). Singapore: Springer Nature. https://doi.org/10.1007/978-981-19-2980-9_32

4. Kamalov, F., Calonge, D. S., & Gurrib, I. (2023). New era of Artificial intelligence in education: Towards a sustainable multifaceted revolution. Sustainability, 15(16), 1–27. https://doi.org/10.3390/su151612451

5. Tao, B., Díaz, V., & Guerra, Y. (2019). Artificial intelligence and education, challenges and disadvantages for the teacher. Arctic Journal, 72(12), 30-50.

6. Alasadi, E. A., & Baiz, C. R. (2023). Generative AI in education and research: Opportunities, concerns, and solutions. Journal of Chemical Education, 100(8), 2965-2971.

7. Duhaylungsod, A. V., & Chavez, J. V. (2023). ChatGPT and other AI users: Innovative and creative utilitarian value and mindset shift. Journal of Namibian Studies: History Politics Culture, 33, 4367-4378.

8. Gardner, J., O’Leary, M., & Li, Y. (2021). Artificial intelligence in educational assessment: ‘breakthrough? Or buncombe and ballyhoo? Journal of Computer Assisted Learning, 37(5), 1207–1216. https://doi.org/10.1111/jcal.12577

9. Liu, C., Hou, J., Tu, Y. F., Wang, Y., & Hwang, G. J. (2021). Incorporating a reflective thinking promoting mechanism into artificial intelligence-supported English writing environments. Interactive Learning Environments, 1(1), 1–19. https://doi.org/10.1080/10494820.2021.2012812

10. Budhwar, P., Chowdhury, S., Wood, G., Aguinis, H., Bamber, G. J., Beltran, J. R., & Varma, A. (2023). Human resource management in the age of generative artificial intelligence: Perspectives and research directions on ChatGPT. Human Resource Management Journal, 33(3), 606–659. https://doi.org/10.1111/1748-8583.12524

11. Kooli, C. (2023). Chatbots in education and research: A critical examination of ethical implications and solutions. Sustainability, 15(7), 5614–15. https://doi.org/10.3390/su15075614

12. Chavez, J.V. (2023). Assessing Online Academic Integrity and Humanized Teaching in Zamboanga Peninsula Polytechnic State University. Journal of Multidisciplinary in Social Sciences. 19(1): 9-17.

13. Darwin, R. D., Mukminatien, N., Suryati, N., Laksmi, E. D., & Marzuki. (2024). Critical thinking in the AI era: An exploration of EFL students’ perceptions, benefits, and limitations. Cogent Education, 11(1), 2290342.

14. Hapsari, I. P., & Wu, T. (2022). AI chatbots learning model in English speaking skill: Alleviating speaking anxiety, boosting enjoyment, and fostering critical thinking. In Lecture Notes in Computer Science (pp. 444–453). https://doi.org/10.1007/978-3-031-15273-3_49

15. Slavin, R. E., Cheung, A., & Zhuang, T. (2021). How could evidence-based reform advance education? ECNU Review of Education, 4(1), 7–24. https://doi.org/10.1177/2096531120976060

16. Alsaleh, N. J. (2020). Teaching critical thinking skills: Literature review. Turkish Online Journal of Educational Technology-TOJET, 19(1), 21–39. https://eric.ed.gov/?id=EJ1239945

17. Zhang, C., & Lu, Y. (2021). Study on artificial intelligence: The state of the art and future prospects. Journal of Industrial Information Integration, 23, 100224. https://doi.org/10.1016/j.jii.2021.100224

18. 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), 1-22. https://doi.org/10.1186/s41239-023-00392-8

19. Estrellado, C.J.P. & Miranda, J.C. (2023). Artificial Intelligence in the Philippine Education Context: Circumspection and Future Inquiries. International Journal of Scientific and Research Publications, 13, 5(2023). 13704. http://dx.doi.org/10.29322/IJSRP.13.05.2023.p13704

20. Bancoro, J. C. M. (2024). The Relationship Between Artificial Intelligence (AI) Usage and Academic Performance of Business Administration Students. International Journal of Asian Business and Management, 3(1), 27-48.

21. Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J., Ogata, H., … & Tsai, C. C. (2020). Challenges and future directions of big data and artificial intelligence in Education. Frontiers in psychology, 11, 580820.

22. Goralski, M. A., & Tan, T. K. (2023). Artificial Intelligence: Poverty Alleviation, Healthcare, Education, and Reduced Inequalities in a Post-COVID World. In The Ethics of Artificial Intelligence for the Sustainable Development GoalsCham. Springer International Publishing, 97-113.

23. Rane, N. L., Desai, P., & Choudhary, S. (2024). Challenges of implementing artificial intelligence for smart and sustainable industry: Technological, economic, and regulatory barriers. Artificial Intelligence and Industry in Society, 5, 2-83.

24. Inoferio, H. V., Espartero, M., Asiri, M., Damin, M., & Chavez, J. V. (2024). Coping with math anxiety and lack of confidence through AI-assisted Learning. Environment and Social Psychology, 9(5).

25. Нормуминов, М. (2024). Enhancing future English teachers' teaching competence with ai-based technologies: a focus on Quizizz. Зарубежная лингвистика и лингводидактика, 2(1/S), 619-625.

26. Suharsono, A. (2020). The use of Quizizz and Kahoot! In the training for millennial generation. International Journal of Indonesian Education and Teaching, 4(2), 332-342.

27. Chavez, J., & Lamorinas, D. D. (2023). Reconfiguring assessment practices and strategies in online education during the pandemic. International Journal of Assessment Tools in Education, 10(1), 160-174.

28. Duman, M. C., & Akdemir, B. (2021). A study to determine the effects of industry 4.0 technology components on organizational performance. Technological forecasting and social change, 167, 120615.

29. Weng, X., Ye, H., Dai, Y., & Ng, O. L. (2024). Integrating Artificial Intelligence and Computational Thinking in Educational Contexts: A Systematic Review of Instructional Design and Student Learning Outcomes. Journal of Educational Computing Research, 07356331241248686.

30. Bitzenbauer, P. (2023). ChatGPT in physics education: A pilot study on easy-to-implement activities. Contemporary Educational Technology, 15(3), ep430.

31. Mogavi, R. H., Deng, C., Kim, J. J., Zhou, P., Kwon, Y. D., Metwally, A. H. S., ... & Hui, P. (2023). Exploring user perspectives on chatgpt: Applications, perceptions, and implications for ai-integrated education. arXiv preprint arXiv:2305.13114.

32. Zhai, C., Wibowo, S., & Li, L. D. (2024). The effects of over-reliance on AI dialogue systems on students' cognitive abilities: a systematic review. Smart Learning Environments, 11(1), 28.

33. Polak, S., Schiavo, G., & Zancanaro, M. (2022, April). Teachers’ perspective on artificial intelligence education: An initial investigation. In CHI Conference On Human Factors in Computing Systems Extended Abstracts (pp. 1-7).

34. Schwartz, R., Schwartz, R., Vassilev, A., Greene, K., Perine, L., Burt, A., & Hall, P. (2022). Towards a standard for identifying and managing bias in artificial intelligence (Vol. 3, p. 00). US Department of Commerce, National Institute of Standards and Technology.

35. Giray, L., De Silos, P. Y., Adornado, A., Buelo, R. J. V., Galas, E., Reyes-Chua, E., ... & Ulanday, M. L. (2024). Use and Impact of Artificial Intelligence in Philippine Higher Education: Reflections from Instructors and Administrators. Internet Reference Services Quarterly, 1-24.

36. Casal-Otero, L., Catala, A., Fernández-Morante, C., Taboada, M., Cebreiro, B., & Barro, S. (2023). AI literacy in K-12: a systematic literature review. International Journal of STEM Education, 10(1), 29.

37. Sanusi, I. T., Oyelere, S. S., & Omidiora, J. O. (2022). Exploring teachers’ preconceptions of teaching machine learning in high school: A preliminary insight from Africa. Computers and Education Open, 3, 100072.

38. Lin, P., & Van Brummelen, J. (2021). Engaging teachers to co-design integrated AI curriculum for K-12 classrooms. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1–12). Association for Computing Machinery

39. Chavez, J. (2022). Narratives of bilingual parents on the real-life use of English language: Materials for English language teaching curriculum. Arab World English Journals, 13(3).

40. Wünderlich, N. V., & Wünderlich, N. V. (2010). Qualitative exploratory interview study. Acceptance of Remote Services: Perception, Adoption, and Continued Usage in Organizational Settings, 93-130.

41. Chavez, J. V., & Del Prado, R. T. (2023). Discourse analysis on online gender-based humor: Markers of normalization, tolerance, and lens of inequality. In Forum for Linguistic Studies, 5(1), 55-71.

42. Stebbins, R. A. (2001). What is exploration. Exploratory research in the social sciences, 48, 2-17.

43. Szabelska, A., Pollet, T. V., Dujols, O., Klein, R. A., & IJzerman, H. (2021). A tutorial for exploratory research: An eight-step approach.

44. Lee, S. J., & Kwon, K. (2024). A systematic review of AI education in K-12 classrooms from 2018 to 2023: Topics, strategies, and learning outcomes. Computers and Education: Artificial Intelligence, 100211.

45. Chavez, J. V. (2021). Bilingual parents’ dispositions: Precursor to developing the English language teaching curriculum. Psychology and Education, 58(5), 161-166.

46. Chavez, J. V., Anuddin, F. O., Mansul, H. H., Hawari, N. A., Irilis, F. B., Umaron, A. A., ... & Albani, S. E. (2024). Analyzing impacts of campus journalism on student’s grammar consciousness and confidence in writing engagements. Environment and Social Psychology, 9(7).

47. Chavez, J. V., Libre, J. M., Gregorio, M. W., & Cabral, N. P. (2023). Human resource profiling for post-pandemic curriculum reconfiguration in higher education. Journal of Infrastructure, Policy and Development, 7(2), 1975.

48. Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative research in psychology, 3(2), 77-101.

49. Mascarenhas, O. A., Thakur, M., & Kumar, P. (2023). History of Critical Thinking and Some Models of Critical Thinking. In A Primer on Critical Thinking and Business Ethics: Recent Conceptualizations of Critical Thinking (Volume 1) (pp. 41-80). Emerald Publishing Limited.

50. Jun, H., Wenhao, Y., Ali, N., & Khan, A. B. (2024). The Model of Improving College Students' Critical Thinking Ability based on Artificial Intelligence. International Journal of Academic Research in Business & Social Sciences, 14(6), 478-491.

51. Zhong, M., & Song, Q. (2024). Study on Strategies for Cultivating Critical Thinking Skills of College Students. Frontiers in Educational Research, 7(3).

52. Marin, M. A., & De la Pava, L. (2017). Conceptions of critical thinking from university EFL teachers. English Language Teaching, 10(7), 78-88.

53. Irwan, I., Arnadi, A., & Aslan, A. (2024). DEVELOPING CRITICAL THINKING SKILLS OF PRIMARY SCHOOL STUDENTS THROUGH INDEPENDENT CURRICULUM LEARNING. Indonesian Journal of Education (INJOE), 4(3), 788-803.

54. Muthmainnah, Ibna Seraj, P. M., & Oteir, I. (2022). Playing with AI to Investigate Human‐Computer Interaction Technology and Improving Critical Thinking Skills to Pursue 21st Century Age. Education Research International, 2022(1), 6468995.

55. Xiao, Y., & Zhi, Y. (2023). An exploratory study of EFL learners’ use of ChatGPT for language learning tasks: Experience and perceptions. Languages, 8(3), 212.

56. Bahufite, E., Kasonde-Ng’andu, S., & Akakandelwa, A. (2023). The relationships between learners’ academic achievement due to the use of constructivist methods in physical science and their self-esteem in Zambian secondary schools. Social Sciences & Humanities Open, 8(1), 100632.

57. Shaw, A., Liu, O. L., Gu, L., Kardonova, E., Chirikov, I., Li, G., ... & Loyalka, P. (2020). Thinking critically about critical thinking: validating the Russian HEIghten® critical thinking assessment. Studies in Higher Education, 45(9), 1933-1948.

58. Mohseni, F., Seifoori, Z., & Ahangari, S. (2020). The impact of metacognitive strategy training and critical thinking awareness-raising on reading comprehension. Cogent education, 7(1), 1720946.

59. Abrami, P. C., Bernard, R. M., Borokhovski, E., Waddington, D. I., Wade, C. A., & Persson, T. (2015). Strategies for teaching students to think critically: A meta-analysis. Review of educational research, 85(2), 275-314.

60. Bezanilla, M. J., Fernández-Nogueira, D., Poblete, M., & Galindo-Domínguez, H. (2019). Methodologies for teaching-learning critical thinking in higher education: The teacher’s view. Thinking skills and creativity, 33, 100584.

61. Keyes, O., Hitzig, Z., & Blell, M. (2021). Truth from the machine: artificial intelligence and the materialization of identity. Interdisciplinary Science Reviews, 46(1-2), 158-175.

62. Janssen, M., Hartog, M., Matheus, R., Yi Ding, A., & Kuk, G. (2022). Will algorithms blind people? The effect of explainable AI and decision-makers’ experience on AI-supported decision-making in government. Social Science Computer Review, 40(2), 478-493.

63. Ryan, M. (2020). In AI we trust: ethics, artificial intelligence, and reliability. Science and Engineering Ethics, 26(5), 2749-2767.


DOI: https://doi.org/10.59429/esp.v9i11.3141
(87 Abstract Views, 79 PDF Downloads)

Refbacks

  • There are currently no refbacks.


Copyright (c) 2024 Naneta M. Panit

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.