The Implementation of Artificial Intelligence, Chatgpt, And Critical Thinking Method for Academic Endeavors at Theological Higher Education
Abstract
The primary aim of this research is to incorporate the use of Artificial Intelligence, ChatGPT, and the Critical Thinking Method to enhance academic endeavors. Employing Artificial Intelligence and ChatGPT in academic work offers advantages to educators and students. Although educators and students are still required to verify data and references independently, the use of Artificial Intelligence and ChatGPT enables the quick and precise presentation of information. Therefore, it is essential to integrate the Critical Thinking methodology with the utilization of ChatGPT and Artificial Intelligence. Verifying and validating data improves the credibility of the knowledge acquired by both professors and students. The research methodology employed in this project involved library research, where the author collected primary and secondary data. Subsequently, content analysis methodology was applied, and the data was presented descriptively. The study results indicate that the implementation of Artificial Intelligence, ChatGPT, and the Critical Thinking method has enhanced the quality of academic work produced by educators and students. Furthermore, this combination can expedite the production of scholarly articles. When engaging in academic research, educators and students should adhere to the guidelines on Artifact Intelligence and ChatGPT policies.
Downloads
References
Cooper, G. (2023). Examining Science Education in ChatGPT: An Exploratory Study of Generative Artificial Intelligence. Journal of Science Education and Technology, 32(3), 444–452.
Hassani, H., & Silva, E. S. (2023). The Role of ChatGPT in Data Science: How AI-Assisted Conversational Interfaces Are Revolutionizing the Field. Big Data and Cognitive Computing, 7(2), 62.
Browne, M. N., & Keeley, S. M. (2007). Asking the Right Questions, A Guide to Critical Thinking. Prentice Hall.
Hummell, L. (2016). 21st Century Skills: Critical Thinking Skills. The Elementary STEM Journal, 20(4).
Marshall, C., & Rossman, G. B. (2016). Designing Qualitative Research (6th ed.). Sage Publisher.
Bello-Orgaz, G., Jung, J. J., & Camacho, D. (2016). Social Big Data: Recent Achievements and New Challenges. Information Fusion, 28, 45–59.
Crowston, K., Allen, E. E., & Heckman, R. (2012). Using Natural Language Processing Technology for Qualitative Data Analysis. International Journal of Social Research Methodology, 15(6), 523–543.
Tang, K.-Y., Chang, C.-Y., & Hwang, G.-J. (2021). Trends in Artificial Intelligence-Supported e-Learning: A Systematic Review and Co-Citation Network Analysis (1998–2019). Interactive Learning Environments, 1–19.
Barredo Arrieta, A., et al. (2020). Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. Information Fusion, 58, 82–115.
Lalbakhsh, A., et al. (2022). Advancements and Artificial Intelligence Approaches in Antennas for Environmental Sensing. In Artificial Intelligence and Data Science in Environmental Sensing (pp. 19–38). Elsevier.
Lee, H. (2022). Developing an Approach to Support Instructors to Provide Emotional and Instructional Scaffolding for English Language Learners Through Biosensor-Based Feedback (Dissertation). University of Maryland.
Mostafizer Rahman, M., & Watanobe, Y. (2023). ChatGPT for Education and Research: Opportunities, Threats, and Strategies. Applied Sciences, 13(9), 5783.
Kasneci, E., et al. (2023). ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education. Learning and Individual Differences, 103, 102274.
Dwivedi, Y. K., et al. (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.
Przegalinska, A., et al. (2019). "In Bot We Trust: A New Methodology of Chatbot Performance Measures." Business Horizons, 62(6), 785–797.
Zhang, D. (2023). "Should ChatGPT and Bard Share Revenue with Their Data Providers? A New Business Model for the AI Era." Retrieved June 7, 2023, from https://arxiv.org/abs/2305.02555.
Suter, W. N. (2012). Introduction to Educational Research: A Critical Thinking Approach. Sage Publisher.
Davies, M. (2015). A Model of Critical Thinking in Higher Education. In Higher Education: Handbook of Theory and Research, Ed. M. B. Paulsen (Vol. 30, Higher Education: Handbook of Theory and Research, pp. 41–92). Springer International Publishing. Link.
Ennis, R. H. (n.d.). A Concept of Critical Thinking: A Proposed Basis for Research in the Teaching and Evaluation of Critical Thinking Ability. Harvard Educational Review, 32(1), 81–111.
Robert H. Ennis. (n.d.). A Concept of Critical Thinking: A Proposed Basis for Research in the Teaching and Evaluation of Critical Thinking Ability. Harvard Educational Review, 32(1), 81–111.
Lau, J. Y. F. (2011). An Introduction to Critical Thinking and Creativity: Think More, Think Better. Wiley.
Jackson, S. L. (2015). Research Methods and Statistics: A Critical Thinking Approach. Cengage Learning.
Lau, J. Y. F. (2011). An Introduction to Critical Thinking and Creativity: Think More, Think Better.
Smith, B., & McGannon, K. R. (2018). Developing Rigor in Qualitative Research: Problems and Opportunities within Sport and Exercise Psychology. International Review of Sport and Exercise Psychology, 11(1), 101–121.
Elo, S., et al. (2014). Qualitative Content Analysis: A Focus on Trustworthiness. SAGE Open, 4(1), 215824401452263.
Lau, J. Y. F. (2011). An Introduction to Critical Thinking and Creativity: Think More, Think Better. New York: Wiley.
Kelley, D. (2014). The Art of Reasoning: An Introduction to Logic and Critical Thinking. New York dan London: W. W. NORTON & COMPANY, INC.
Hill, H. C., Ball, D. L., & Schilling, S. G. (2008). Unpacking Pedagogical Content Knowledge: Conceptualizing and Measuring Teachers’ Topic-Specific Knowledge of Students. Journal for Research in Mathematics Education, 39(4), 372–400.
Carroll, J. E. (2019). Epistemic Explanations for Divergent Evolution in Discourses Regarding Students’ Extended Historical Writing in England. Journal of Curriculum Studies, 51(1), 100–120.
Owen-Smith, J. (2001). Managing Laboratory Work through Skepticism: Processes of Evaluation and Control. American Sociological Review, 66(3), 427.
Lau, J. Y. F. (2011). An Introduction to Critical Thinking and Creativity: Think More, Think Better.
Copyright (c) 2023 Journal Didaskalia
This work is licensed under a Creative Commons Attribution 4.0 International License.