The impact of AI Chatbot-based blended learning on self-directed learning, academic engagement, and critical thinking disposition

Mehri, A.; Sadipour, E.; Dortaj, F

doi:10.22061/tej.2025.11481.3152

Document Type : Original Research Paper

Authors

Department of Educational Psychology, Faculty of Psychology and Educational Sciences, Allameh Tabatabaei University, Tehran, IranUniversity, Tehran, Iran

https://doi.org/10.22061/tej.2025.11481.3152

Abstract

and methods of education and learning as a new educational technology. A segment of artificial intelligence includes natural language processors that can produce human-like texts, such as AI chatbots. Due to their abilities to understand human language and answer users' questions, AI chatbots are recognized as important tools for education and learning. However, because the use of AI chatbots in education is still a recent development, there are currently very few studies on the effectiveness of this technology in learning. Accordingly, this research aims to examine the effects of AI chatbot-based blended learning in psychology on self-directed learning, student engagement, and critical thinking disposition among 11th-grade female students majoring at humanities in Zanjan.
Methods: This research was applied in purpose and quantitative with regard to the nature of the collected data. It employed a quasi-experimental method with a pre-test and post-test design, involving a control group. The statistical population for this study comprised all 11th-grade female students majoring at humanities in Zanjan. A multi-stage cluster sampling technique was used, wherein one public girl’s high school in Zanjan, specifically Roghani Zanjani School, was selected for the study, and two classes of students were assigned to the experimental and control groups. The sample consisted of 45 participants, divided into 21 in the experimental group and 24 in the control group. Data collection tools included Self-Directed Learning Questionnaire developed by Fisher et al. (2001), Academic Engagement Questionnaire designed by Reeve and Tseng (2011), the Critical Thinking Disposition Questionnaire devised by Ricketts and Rudd (2005). The educational intervention spanned 8 sessions, each lasted 90 minutes, using the Sider software that offers and supports the ChatGPT AI chatbot. Given the multi-dimensional nature of all three dependent variables and the implementation of pre-tests, Multivariate Analysis of Covariance (MANCOVA) was utilized, and the pre-test and post-test data were analyzed via SPSS version 26.
Findings: The analysis of the data using statistical measures such as mean and standard deviation showed that the mean scores of the post-test for the experimental group increased in comparison to those of the control group across all three dependent variables when compared to the pre-test. Furthermore, the results from the multivariate analysis of covariance indicated a significant difference in self-directed learning, academic engagement, and critical thinking disposition between the experimental and control groups at the post-test (p < 0.01). Thus, given the higher mean scores of the experimental group in the post-test relative to those in the control group, it can be concluded that the AI chatbot-based blended learning approach in the psychology course proved effective in increasing self-directed learning, academic engagement, and critical thinking among 11th-grade female students majoring at humanities in Zanjan.
Conclusion: Drawing on the findings of this research, it can be concluded that the use of AI chatbots in conjunction with the formal psychology curriculum has great potential to enhance self-directed learning, academic engagement, and critical thinking disposition. However, there is a concern that dependence on the AI chatbot could result in diminished academic engagement, with learners potentially accepting the output data without critical evaluation. Therefore, it is recommended that educators and learners utilize AI chatbots as educational complements and learning aids while considering ethical educational implications, stressing the importance of teacher supervision and instructing adolescents in self-regulation. It should also be noted that this study had limitations, including a lack of resources and prior research, restrictions on access to AI chatbots for IPs within Iran, and various hardware and software challenges in installing the AI chatbot software.

Keywords

Main Subjects

Educational Technology - Artificial Intelligence

COPYRIGHTS
© 2025 The Author(s). This is an open-access article distributed under the terms and conditions of the Creative Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) (https://creativecommons.org/licenses/by-nc/4.0/)

References

[1] Baig MI, Yadegaridehkordi E. ChatGPT in higher education: A systematic literature review and research challenges. Int J Educ Res. 2024;127: 102411.

https://doi.org/10.1016/j.ijer.2024.102411

[2] Essell HB, Vlachopoulos D, Menson AT, Johnson EE, Baah PK. The impact of a virtual teaching assistant (chatbot) on students' learning in Ghanaian higher education. Int J Educ Technol High Educ. 2022;19(1):57.

https://doi.org/10.1186/s41239-022-00362-6

[3] Cronin-Golomb LM, Bauer PJ. Self-motivated and directed learning across the lifespan. Acta Psychologica. 2023; 232: 103816.

https://doi.org/10.1016/j.actpsy.2022.103816

[4] Biswas S. Role of ChatGPT in education. J ENT Surg Res. 2023;1(1):1-3.

[5] Choi M, Glassman M, Cristol D. What it means to be a citizen in the internet age: Development of a reliable and valid digital citizenship scale. Comput Educ. 2017;107:100-12.

https://doi.org/10.1016/j.compedu.2017.01.002

[6] Kirk J, Courtner A. Self-Direction in Learning of EdD Candidates at a Small, Private Institution. Int J Doctoral Stud. 2020;15(1):353-71. https://doi.org/10.28945/4378

[7] Yasmin M, Naseem F, Masso IC. Teacher-directed learning to self-directed learning transition barriers in Pakistan. Stud Educ Eval. 2019;61: 34-40.

https://doi.org/10.1016/j.stueduc.2019.02.003

[8] Sawatsky AP, Ratelle JT, Bonnes SL, Egginton JS, Beckman TJ. A model of self-directed learning in internal medicine residency: A qualitative study using grounded theory. BMC Med Educ. 2017;17(1):31. https://doi.org/10.1186/s12909-017-0869-4

[9] Fisher M, King J, Tague G. Development of self-directed learning readiness scale for nursing education. Nurse Educ Today. 2001;21:516-25.

https://doi.org/10.1054/nedt.2001.0589.

[10] Narenji Sani, Fatemeh, Karamati, Mohammad Reza, and Hosseini Sahi, Maryam Sadat. [The Role of Self-Directed Learning in Learning Effectiveness During the COVID-19 Pandemic]. Journal of Educational Technology, 2023; 16(3): 589-572. [In Persian]. https://doi.org/10.22061/tej.2022.8299.2648

[11] Servant-Miklos V, Noordegraaf-Eelens L. Toward social-transformative education: An ontological critique of self-directed learning. Crit Stud Educ. 2021;62(2):1473-86.

https://doi.org/10.1080/17508487.2019.1577284

[12] Kaur A, Lakra P, Kumar R. Self-directed learning readiness and learning styles among nursing undergraduates. Nurs Midwifery Res J. 2020;16(1):40-50.

http://doi.org/10.33698/NRF0265

[13] Alenezi A. The role of e-learning materials in enhancing teaching and learning behaviors. Int J Inf Educ Technol. 2020;10(1):48-56.

http://doi.org/10.18178/ijiet.2020.10.1.1338

[14] Adinda D, Mohib N. Teaching and instructional design approaches to enhance students' self-directed learning in blended learning environments. Electron J E-Learning. 2020; 18(2): 162-174. https://doi.org/10.34190/EJEL.20.18.2.005

[15] Kahn P, Everington L, Kelm K, et al. Understanding student engagement in online learning environments: the role of reflexivity. Educ Tech Res. 2017;65:203-18.

https://doi.org/10.1007/s11423-016-9484-z

[16] Delfino AP. Student engagement and academic performance of students of Partido State University. Asian J Univ Educ. 2019;15:3:42-55. https://doi.org/10.24191/ajue.v15i3.05

[17] Gallagher MW, Marques SC, Lopez SJ. Hope and the academic trajectory of college students. J Happiness Stud. 2017;18(2):341-52. https://doi.org/10.1007/s10902-016-9727-z

[18] McKelvey M, Zaring O. Co-delivery of social innovations: Exploring the university’s role in academic engagement with society. Ind Innov. 2018;25(6):594-611.

https://doi.org/10.1080/13662716.2017.1295364

[19] Reeve J, Tseng CM. Agency as a fourth aspect of students’ engagement during learning activities. Contemp Educ Psychol. 2011;36(4):257-67.

https://doi.org/10.1016/j.cedpsych.2011.05.002

[20] Chen PD, Boenink AD, Guidry KR. Engaging online learners: The impact of web-based learning technology on college student engagement. Comput Educ. 2010;54(4):1222–32.

https://doi.org/10.1016/j.compedu.2009.11.008

[21] El-Sayad G, Md Saad NH, Thurasamy R. How higher education students in Egypt perceived online learning engagement and satisfaction during the COVID-19 pandemic. J Comput Educ. 2021;8:527–50.

https://doi.org/10.1007/s40692-021-00191-y

[22] Balalle H. Exploring student engagement in technology-based education in relation to gamification, online/distance learning, and other factors: A systematic literature review. Soc Sci Humanities Open. 2024;9:100870.

https://doi.org/10.1016/j.ssaho.2024.100870.

[23] Jaggars SS. Choosing between online and face-to-face courses: Community college student voices. Am J Dist Educ. 2014;28(1):27–38.

https://doi.org/10.1080/08923647.2014.867697

[24] Dabbagh N, Kitsantas A. Supporting self-regulation in student-centered web-based learning environments. Int J E-Learning. 2004;3(1):40-7.

[25] Narenji Sani, Fatemeh, Karamati, Mohammad Reza, and Hosseini Sahi, Maryam Sadat. [The Role of Self-Directed Learning in Learning Effectiveness During the COVID-19 Pandemic]. Journal of Educational Technology, 2023; 16(3): 589-572. [In Persian]. https://doi.org/10.22061/tej.2022.8299.2648

[26] Halpern DF. Thought and knowledge: An introduction to critical thinking. 5th ed. Mahwah (NJ): Lawrence Erlbaum Associates, Inc.; 2003.

[27] Zare, Hossein and Nehrovaniyan, Parvaneh. [The Effect of Critical Thinking Training on Decision-Making Styles and Problem-Solving Styles]. Cognitive Strategies in Learning, 2017; 5(9): 13-31. [In Persian].

https://doi.org/10.22084/j.psychogy.2017.11044.1391

[28] Meneses LFS. Thinking critically through controversial issues on digital media: dispositions and key criteria for content evaluation. Thinking Skills and Creativity. 2021;42: 100927.

https://doi.org/10.1016/j.tsc.2021.100927.

[29] Alvarez-Huerta P, Muela A, Larrea I. Disposition towards critical thinking and student engagement in higher education. Innov High Educ. 2023;48(2):239-56.

https://doi.org/10.1007/s10755-022-09614-9

[30] Orhan A. Comparing the effectiveness of online, flipped, and in-class critical thinking instruction on critical thinking skills and dispositions in higher education: Flipped classroom produces the greatest gains. Int J Technol Educ. 2023;6(2):238-59. https://doi.org/10.46328/ijte.376

[31] Alvarez-Huerta P, Muela A, Larrea I. Disposition toward critical thinking and creative confidence beliefs in higher education students: The mediating role of openness to diversity and challenge. Thinking Skills Creat. 2022.

https://doi.org/10.1016/j.tsc.2022.101003

[32] Facione PA, Carol AS, Facione NC, Gainen J. The disposition toward critical thinking. J Gen Educ. 1995;44(1):1-25.

[33] Roetzel PG. Information overload in the information age: A review of the literature from business administration, business psychology, and related disciplines with a bibliometric approach and framework development. Bus Res. 2019;12(2):479-522.

https://doi.org/10.1007/s40685-018-0069-z

[34] Guo L, Wang J. Relationships between teacher autonomy, collaboration, and critical thinking focused instruction: A cross-national study. Int J Educ Res. 2021;106: Article 101730.

https://doi.org/10.1016/j.ijer.2020.101730

[35] Abd-alrazaq A, AlSaad R, Alhuwail D, Ahmed A, Healy PM, Latifi S, Aziz S, Damseh R, Alrazak SA. Large language models in medical education: opportunities, challenges, and future directions. JMIR Med Educ. 2023;9:e48291.

https://doi.org/10.2196/48291.

[36] Strzelecki A. To use or not to use ChatGPT in higher education? A study of students’ acceptance and use of technology. Interact Learn Environ. 2023; 32(9): 5142–55.

https://doi.org/10.1080/10494820.2023.2209881

[37] Fontenelle-Tereshchuk D. Academic writing and ChatGPT: Students transitioning into college in the shadow of the COVID-19 pandemic. Discover Educ. 2024;3:6.

https://doi.org/10.1007/s44217-023-00076-5

[38] Chatterji P, Li Y. Effects of COVID-19 on school enrollment. Econ Educ Rev. 2021;83:102128.

https://doi.org/10.1016/j.econedurev.2021.102128.

[39] Lacombe N, Hey M, Hofmann V, Pagnotta C, Squillaci M. School burnout after COVID-19, prevalence and role of different risk and protective factors in preteen students. Children. 2023;10(5):823. https://doi.org/10.3390/children10050823.

[40] Tsolou O, Babalis T, Tsoli K. The impact of COVID-19 pandemic on education: Social exclusion and dropping out of school. Creat Educ. 2021;12:529-44.

https://doi.org/10.4236/ce.2021.123036

[41] Azevedo JP, Hasan A, Goldemberg D, Geven K, Iqbal SA. Simulating the potential impacts of COVID-19 school closures on schooling and learning outcomes: A set of global estimates. World Bank Res Obs. 2021;36.

https://doi.org/10.1093/wbro/lkab003

[42] Ghavidel, Saleh and Darvishi, Fatemeh. [The Impact of Human Development on Students’ Academic Decline (An Inter-Provincial Study in Iran)]. Iranian Journal of Applied Economic Studies, 2013; 2(8): 161-179. [In Persian].

DOR.com/20.1001.1.23222530.1392.2.8.10.3

[43] Sayah, Ali and Cheraghi, Mehdi. [Investigating the Factors Affecting School Dropouts Among Secondary School Students in Rural Zanjan Province]. Researches in Economic Geography, 2021; 2(6): 76-94. [In Persian].

DOR.com/20.1001.1.27173747.1400.2.6.6.2

[44] Pedro F, Subosa M, Rivas A, Valverde P. Artificial intelligence in education: challenges and opportunities for sustainable development. UNESCO; 2019.

[45] Essel HB, Vlachopoulos D, Essuman AB, Amankwa JO. ChatGPT effects on cognitive skills of undergraduate students: Receiving instant responses from AI-based conversational large language models (LLMs). Comput Educ Artif Intell. 2024;6: 100198. https://doi.org/10.1016/j.caeai.2023.100198

[46] Halaweh M. ChatGPT in education: Strategies for responsible implementation. Contemp Educ Technol. 2023; 15(2): 421-32. https://doi.org/10.30935/cedtech/13036

[47] Al-Afnan MA, Dishari S, Jovic M, Lomidze K. ChatGPT as an educational tool: Opportunities, challenges, and recommendations for communication, business writing, and composition courses. J Artif Intell Technol. 2023;3:60-8.

https://doi.org/10.37965/jait.2023.0184

[48] Kissinger, Henry, Schmitt, Eric, and Hattenlucher, Daniel. [The Age of Artificial Intelligence and Our Human Future]. Bijani H (Translator). Qoqnous Publications; 2023. [In Persian].

[49] Li Y, Sha L, Yan L, Lin J, Raković M, Galbraith K, Lyons K, Gašević D, Chen G. Can large language models write reflectively? Comput Educ Artif Intell. 2023;4: 100140.

https://doi.org/10.1016/j.caeai.2023.100140

[50] Rudolph J, Tan S, Tan S. ChatGPT: Bullshit spewer or the end of traditional assessments in higher education? J Appl Learn Teach. 2023;6(1):1-22.

https://doi.org/10.37074/jalt.2023.6.1.9

[51] The Guardian. ChatGPT reaches 100 million users two months after launch. The Guardian. 2023 Feb 2.

[52] Zhang K, Aslan AB. AI technologies for education: Recent research & future directions. Comput Educ. 2021;2:100025.

https://doi.org/10.1016/j.caeai.2021.100025

[53] Hwang G, Tu Y. Roles and research trends of artificial intelligence in mathematics education: A bibliometric mapping analysis and systematic review. Mathematics. 2021; 9:6:584.

https://doi.org/10.3390/math9060584

[54] Shukla AK, Janmaijaya M, Abraham A, Muhuri PK. Engineering applications of artificial intelligence: A bibliometric analysis of 30 years (1988-2018). Eng Appl Artif Intell. 2019; 85:517-32. https://doi.org/10.1016/j.engappai.2019.06.010

[55] Winkler-Schwartz A, Bissonnette V, Mirchi N, Ponnudurai N, Yilmaz R, Ledwos N, Siyar S, Azarnoush H, Karlik B, Maestro RD. Artificial intelligence in medical education: Best practices using machine learning to assess surgical expertise in virtual reality simulation. J Surg Educ. 2019;76:6:1681-1690.

https://doi.org/10.1016/j.jsurg.2019.05.015

[56] Guo Y, Lee D. Leveraging ChatGPT for enhancing critical thinking skills. J Chem Educ. 2023;100(12):4876-83.

https://doi.org/10.1021/acs.jchemed.3c00505

[57] Tlili A, Shehata B, Adarkwah MA, Bozkurt A, Hickey DT, Huang R, Agyemang B. What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learn Environ. 2023;10(1):15.

https://doi.org/10.1186/s40561-023-00237-x

[58] Firat M. How ChatGPT can transform autodidactic experiences and open education.

https://doi.org/10.31219/osf.io/9ge8m

[59] Fergus S, Botha M, Ostovar M. Evaluating academic answers generated using ChatGPT. J Chem Educ. 2023;100(4):1672-5.

https://doi.org/10.1021/acs.jchemed.3c00087

[60] Mollick ER, Mollick L. New modes of learning enabled by AI chatbots: Three methods and assignments. SSRN Electron J. 2022. https://doi.org/10.2139/ssrn.4300783

[61] Bommineni VL, Bhagwagar S, Balcarcel D, Davatzikos C, Boyer D. Performance of ChatGPT on the MCAT: The road to personalized and equitable premedical learning. MedRxiv. 2023. 3. 5. https://doi.org/10.1101/2023.03.05.23286533

[62] Mogavi RH, Deng C, Kim JJ, Zhou P, Kwon YD, Metwally AHS, Hui P. ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions. Comput Hum Behav Artif Humans. 2024;2(1): Article 100027.

https://doi.org/10.1016/j.chbah.2023.100027

[63] Zhai, Xiaoming. (2023). ChatGPT and AI: The Game Changer for Education. https://doi.org/10.13140/RG.2.2.31107.37923.

[64] Sanusi IT, Olaleye SA, Agbo FJ, Chiu TK. The role of learners’ competencies in artificial intelligence education. Comput Educ Artif Intell. 2022;3: Article 100098.

https://doi.org/10.1016/j.caeai.2022.100098

[65] Memarian B, Doleck T. ChatGPT in education: Methods, potentials and limitations. Comput Hum Behav Artif Humans. 2023;100022. https://doi.org/10.1016/j.chbah.2023.100022

[66] Topsakal O, Topsakal E. Framework for a foreign language teaching software for children utilizing AR, voicebots, and ChatGPT (large language models). J Cognit Syst. 2022;7(2):33-8.

https://doi.org/10.52876/jcs.1227392

[67] Farrokhnia M, Banihashem SK, Noroozi O, Wals A. A SWOT analysis of ChatGPT: implications for educational practice and research. Innov Educ Teach Int. 2023; 61(3):460–474.

https://doi.org/10.1080/14703297.2023.2195846

[68] Kim H. The influence of convergence design lessons using artificial intelligence (AI) on middle school students' self-directed learning: focusing on game design class that removes space debris. Arch Design Res. 2021;34(2):89-103.

https://doi.org/10.15187/adr.2021.05.34.2.89

[69] Wu TT, Lee HY, Li PH, Huang CN, Huang YM. Promoting self-regulation progress and knowledge construction in blended learning via ChatGPT-based learning aid. J Educ Comput Res. 2024;61(8):3-31. https://doi.org/10.1177/07356331231191125

[70] Lin X. Exploring the role of ChatGPT as a facilitator for motivating self-directed learning among adult learners. Adult Learn. 2023;35(3):156-66.

https://doi.org/10.1177/10451595231184928

[71] Rad HS, Alipour R, Jafarpour A. Using artificial intelligence to foster students’ writing feedback literacy, engagement, and outcome: a case of Wordtune application. Interact Learn Environ. 2023;32(9):5020-40.

https://doi.org/10.1080/10494820.2023.2208170

[72] Indriani W, Nawwaf M, Yundianto D, Erikha F, Khatami M. From conversation to competence: analysis of the influence of using ChatGPT and learning motivation in increasing self-directed learning. Acad J Psychol Counsel. 2024;5.

https://doi.org/10.54254/2753-7048/25/20230708

[73] Essien A, Bukoye OT, O’Dea X, Kremantzis M. The influence of AI text generators on critical thinking skills in UK business schools. Stud High Educ. 2024; 49(5): 865–82.

https://doi.org/10.1080/03075079.2024.2316881

[74] Rizaldi M, Sasalia P, Pancarita P. Efektivitas ChatGPT untuk mendorong berpikir kritis mahasiswa dalam menyelesaikan masalah aljabar. EDU-MAT: Jurnal Pendidikan Matematika. 2024;12(1):168-81.

http://dx.doi.org/10.20527/edumat.v12i1.18668

[75] Lee VR, Pope D, Miles S, Zárate RC. Cheating in the age of generative AI: a high school survey study of cheating behaviors before and after the release of ChatGPT. Comput Educ Artif Intell. 2024;7:100253.

https://doi.org/10.1016/j.caeai.2024.100253

[76] Muñoz S, Gayoso G, Huambo A, Domingo R, Tapia C, Incaluque J, Huaranga Rivera HLJ. Examining the impacts of ChatGPT on student motivation and engagement. Soc Space J. 2023;23(1):1-27.

[77] Van Dis EAM, Bollen J, Zuidema W, van Rooij R, Bockting CL. ChatGPT: five priorities for research. Nature. 2023; 614(7947):224-6.

https://doi.org/10.1038/d41586-023-00288-7.

[78] Gruenhagen JH, Sinclair PM, Carroll JA, Baker PRA, Wilson A, Demant D. The rapid rise of generative AI and its implications for academic integrity: Students’ perceptions and use of chatbots for assistance with assessments. Comput Educ Artif Intell. 2024; 7:100273.

https://doi.org/10.1016/j.caeai.2024.100273.

[79] Cascella M, Montomoli J, Bellini V, Bignami E. Evaluating the feasibility of ChatGPT in healthcare: an analysis of multiple clinical and research scenarios. J Med Syst. 2023;47(1):33.

https://doi.org/10.1007/s10916-023-01925-4

[80] Espartinez AS. Exploring student and teacher perceptions of ChatGPT use in higher education: a Q-methodology study. Comput Educ Artif Intell. 2024;7:100264.

https://doi.org/10.1016/j.caeai.2024.100264

[81] Sadipour, Esmail. [Research Methods in Psychology and Educational Sciences]. Doran Publications; 2023. [In Persian].

[82] Ricketts J, Rudd RD. Critical thinking skills of selected youth leaders: the efficacy of critical thinking dispositions, leadership, and academic performance. J Agric Educ. 2005;46(1):32-43.

https://doi.org/10.5032/jae.2005.01032

[83] Ghasemi, Saman, Azadi, Mohammad Mahdi, Chaghousaz, Marzieh, and Asghari, Mahsa. [The Effect of Self-Regulation Strategy Training on Problem-Solving Styles and Self-Directed Learning of Male Third-Grade High School Students]. Psychology Growth, 2021; 10(3): 101-110. [In Persian].

[84] Mahbubi, Taher. [The Effectiveness of Mobile-Based Training on Self-Directed Learning, Problem-Solving Skills, and Academic Performance of Payam Noor University Students]. Research in School and Virtual Education, 2023; 36: 77-90. [In Persian]. https://doi.org/10.30473/etl.2022.63020.3738

[85] Saeidi, Ali Ebrahimi, Dabaq, Mohammad, and Khakshour, Hojjat. [Investigating the Effect of Flipped Classroom Training on Attitudes and Self-Directed Learning Skills of Students in Physics Class]. Journal of Research in Teaching Experimental Sciences, 2021; 1(2): 1-9. [In Persian].

[86] Nadi, Mohammad Ali, and Sajadian Elnaz. [Norming the Self-Direction in Learning Assessment Scale for Female Students in Isfahan City High Schools]. Journal of Educational Innovations, 2006; 5(18): 111-134. [In Persian].

[87] Samavi, Seyed Abdolwahab, Ebrahimi, Kolsoom, and Javidan, Mousa. [Examining the Relationship Between Academic Engagement, Self-Efficacy, and Academic Motivation with Academic Achievement in High School Students in Bandar Abbas City]. Cognitive Strategies in Learning, 2016; 4(7): 71-92. [In Persian]. https://doi.org/10.22084/j.psychogy.2017.1654

[88] Azadi Dehbidi, Fatemeh and Fooladchang, Mahbubeh. [Causal Model of Academic Engagement and Academic Self-Regulation]. Education and Assessment in Educational Sciences, 2019; 12(47): 159-183. [In Persian].

https://doi.org/10.30495/jinev.2019.670901

[89] Pakmehr, Hamideh, Mirdoorghi, Fatemeh, Ghanei Chamanabad, Ali, and Karami, Morteza. [Validation, Reliability, and Factor Analysis of the Ricketts Critical Thinking Disposition Scale at the Secondary Level]. Educational Measurement, 2013; 4(11): 33-53. [In Persian].

[90] Karami, Morteza, Ranjai, Maliheh, and Namkhah, Marzieh. [Investigating the Level of Critical Thinking Disposition Among Secondary School Teachers and Its Role in Their Teaching Style]. Research in Curriculum Planning, 2014; 11(40): 34-47. [In Persian].

[91] Pourtaleb N, Pourtaleb S, Majarshin, ZS, Mousavian Alnajgh, SB B. Analysis of the relationship between the perception of the dimensions of the nature of science and the inclination toward critical thinking among students in Tabriz. Daneshshenasi. 2022;15(58):17-29. [In Persian]

[92] Vargas-Murillo AR, de la Asuncion Pari-Bedoya INM, Guevara-Soto FJ. Challenges and opportunities of AI-assisted learning: a systematic literature review on the impact of ChatGPT usage in higher education. Int J Learn Teach Educ Res. 2023;22(7):122-35.

https://doi.org/10.26803/ijlter.22.7.7

[93] Li ZH, Chen M. Application of ANCOVA and MANCOVA in language assessment research. Routledge; 2019.

[94] Almulla MA. Investigating influencing factors of learning satisfaction in AI ChatGPT for research: university students’ perspective. Heliyon. 2024; e32220.

https://doi.org/10.1016/j.heliyon.2024.e32220

[95] Dowling M, Lucey B. ChatGPT for (finance) research: The bananarama conjecture. Finance Res Lett. 2023; 53: Article 103662. http://dx.doi.org/10.2139/ssrn.4322651

[96] Gupta S, Chen Y. Supporting inclusive learning using chatbots? A chatbot-led interview study. J Inf Syst Educ. 2022; 33(1): 98–108.

[97] Kalla D, Smith N. Study and analysis of ChatGPT and its impact on different fields of study. Int J Innov Sci Res Technol. 2023; 8(3): 827–833. https://doi.org/10.5281/zenodo.7767675

[98] Ali F, Choy D, Divaharan S, Tay HY, Chen W. Supporting self-directed learning and self-assessment using TeacherGAIA, a generative AI chatbot application: Learning approaches and prompt engineering. Learn Res Pract. 2023; 9(2): 135–147.

https://doi.org/10.1080/23735082.2023.2258886

[99] Meron Y, Araci YT. Artificial intelligence in design education: Evaluating ChatGPT as a virtual colleague for post-graduate course development. Des Sci. 2023; 9: e30.

https://doi.org/10.1017/dsj.2023.28

[100] Cowling M, Crawford J, Allen KA, Wehmeyer M. Using leadership to leverage ChatGPT and artificial intelligence for undergraduate and postgraduate research supervision. Australas J Educ Technol. 2023; 39(4): 89–103.

https://doi.org/10.14742/ajet.8598

[101] Matusov E. Teacher as a benevolent dictator: Promoting a culture of democratic dialogic education in a conventional university. 2023; 11(2): A245-A260.

https://doi.org/10.5195/dpj.2023.331

[102] Niloy AC, Bari MA, Sultana J, Chowdhury R, Raisa FM, Islam A, et al. Why do students use ChatGPT? Answering through a triangulation approach. Comput Educ Artif Intell. 2024; 6: 100208. https://doi.org/10.1016/j.caeai.2024.100208

[103] Knowles MS. Self-directed learning: A guide for learners and teachers. Englewood Cliffs, NJ: Cambridge Adult Education; 1975.

[104] Amarathunga B. ChatGPT in education: unveiling frontiers and future directions through systematic literature review and bibliometric analysis. Asian Educ Dev Stud. 2024;13(5):412-31.

https://doi.org/10.1108/AEDS-05-2024-0101.

[105] Javaid M, Haleem A, Singh RP, Khan S, Khan IH. Unlocking the opportunities through ChatGPT tool towards ameliorating the education system. BenchCouncil Trans Benchmarks Standards Evaluations. 2023; 3(2): 100115.

https://doi.org/10.1016/j.tbench.2023.100115

[106] Zhang Y, Yang X, Tong W. University students’ attitudes toward ChatGPT profiles and their relation to ChatGPT intentions. Int J Hum-Comput Interact. 2024; 1-14.

[107] Michel-Villarreal R, Vilalta-Perdomo E, Salinas-Navarro DE, Thierry-Aguilera R, Gerardou FS. Challenges and opportunities of generative AI for higher education as explained by ChatGPT. Educ Sci. 2023; 13(9): 856.

https://doi.org/10.3390/educsci13090856

[108] Guglielmino L. Guglielmino: Self-directed learning for the 21st century – what research says. Home: News and Events. 2014; 1(7).

[109] Scott-Muenter MS. Investigating self-directed learning and adult learner readiness attributes in a call center environment. A dissertation submitted to the Education Faculty of Lindenwood University; 2022. ProQuest.

[110] Garrison DR. Self-directed learning: Toward a comprehensive model. Adult Educ Q. 1997; 48(1): 18–33.

https://doi.org/10.1177/07417136970480010

[111] Rospigliosi PA. Artificial intelligence in teaching and learning: What questions should we ask of ChatGPT? Interact Learn Environ. 2023; 31(1): 1–3.

https://doi.org/10.1080/10494820.2023.2180191

[112] Abu Khurma O, Albahti F, Ali N, Bustanji A. AI ChatGPT and student engagement: Unraveling dimensions through PRISMA analysis for enhanced learning experiences. Contemp Educ Technol. 2024; 16(2): ep503.

https://doi.org/10.30935/cedtech/14334

[113] Fredricks JA, Blumenfeld PC, Paris AH. School engagement: Potential of the concept, state of the evidence. Rev Educ Res. 2004; 74(1): 59-109.

https://doi.org/10.3102/00346543074001059

[114] Ding L, Li T, Jiang S, Gapud A. Students’ perceptions of using ChatGPT in a physics class as a virtual tutor. Int J Educ Technol High Educ. 2023; 20(1): 63.

https://doi.org/10.1186/s41239-023-00434-1

[115] Fredricks JA, Filsecker M, Lawson MA. Student engagement, context, and adjustment: addressing definitional, measurement, and methodological issues. Learn Instr. 2016; 43: 1–4. https://doi.org/10.1016/j.learninstruc.2016.02.002

[116] Wang MT, Fredricks J, Ye F, Hofkens T, Linn JS. Conceptualization and assessment of adolescents’ engagement and disengagement in school: a multidimensional school engagement scale. Eur J Psychol Assess. 2019; 35(4): 592–606.