Perception on Artificial Intelligence of Dsominican Republic Pre service Teachers

Authors

  • Dra. Berki Yoselin Taveras-Sánchez profesora titular, Coordinadora de Prácticas, Instituto Superior de Formación Docente Salomé Ureña, ISFODOSU, Santo Domingo (República Dominicana)
  • MSc. Rosario Figueroa Figueroa Profesora titular, Coordinadora de Pedagogía, Instituto Superior de Formación Docente Salomé Ureña, ISFODOSU, Santo Domingo (República Dominicana)

DOI:

https://doi.org/10.5281/zenodo.17217320

Keywords:

Perception, Attitude, Practices, Artificial Intelligence, Teacher Training, Teaching Practice.

Abstract

Since its launch in November 2022, the use of generative artificial intelligence (GenAI) is transforming university learning, teaching, and research in all academic disciplines. Their use raises concerns and opportunities for university students and professors; hence, preservice teachers´ perspectives are essential for their successful implementation as learning and teaching tools. A contextualized analysis of preservice teachers’ attitudes is essential to understanding and guiding the successful and ethical integration of IGA in education. Despite its importance, there is a research gap in the Dominican Republic on how future teachers perceive, use, and value GenAI chatbots in their training and future professional practice. Therefore, this paper aims to analyze perceptions, practices, and attitudes toward the pedagogical use of GenAI chatbots among preservice teachers in the Dominican Republic. A correlational and cross-sectional study was conducted with 256 students of Teaching Practices, using a previously validated five- dimension questionnaire: perception of benefits and risks, practice, and attitude toward its use in Teaching Practices and professionally. Participants know the benefits and risks of using GenAI chatbots, use them to plan, search for, and design teaching strategies, and have a positive attitude toward their use in pre-service and in-service teaching practices. Additionally, the positive perception of the benefits of chatbots is associated with their use in pedagogical practice and a positive attitude toward GenIA. In contrast, risk perception is associated with lower use in practice and less favorable attitudes toward this technology. The findings have pedagogical and curricular implications; they can serve as a basis for designing IGA-based teaching strategies, identifying barriers and priority areas for teaching GenAI, and creating educational policies and regulations to promote its ethical, responsible, and effective use in teacher education in Dominican Republic.

References

Bartolomé, P. (2023). Estrategia Nacional de Inteligencia Artificial de la República Dominicana. Dirección Ejecutiva del Gabinete de Innovación y Desarrollo Digital. https://bit.ly/4k6edZ9

Blonder, R., Feldman-Maggor, Y. y Rap, S. (2024). Are They Ready to Teach? Generative AI as a Means to Uncover Pre-Service Science Teachers’ PCK and Enhance Their Preparation Program. Journal of Science Education and Technology. https://doi.org/10.1007/s10956-024-10180-2

Bonsu, E. M. y Baffour-Koduah, D. (2023). From the Consumers’ Side: Determining Students’ Perception and Intention to Use ChatGPT in Ghanaian Higher Education. Research Square. https://doi.org/10.21203/rs.3.rs-2686760/v1

Bueno, J. M. T. (2023). Analysis of the Capacity of ChatGPT in Relation to the Educational System of the Dominican Republic. En R. A. Castanho (Ed.), Handbook of Research on Current Advances and Challenges of Borderlands, Migration, and Geopolitics (pp. 373-386). IGI Global Scientific Publishing. https://doi.org/10.4018/978-1-6684-7020-6.ch019

Cai, Q., Lin, Y. y Yu, Z. (2023). Factors Influencing Learner Attitudes Towards ChatGPT-Assisted Language Learning in Higher Education. International Journal of Human–Computer Interaction, 40(22), 7112-7126. https://doi.org/10.1080/10447318.2023.2261725

Chaka, C. (2023). Generative AI Chatbots - ChatGPT versus YouChat versus Chatsonic: Use Cases of Selected Areas of Applied English Language Studies. International Journal of Learning, Teaching and Educational Research, 22(6), 1-19. https://doi.org/10.26803/ijlter.22.5.1

Chan, C. K. Y. y Hu, W. (2023). Students’ voices on generative AI: perceptions, benefits, and challenges in higher education. International Journal of Educational Technology in Higher Education, 20(1), 43. https://doi.org/10.1186/s41239-023-00411-8

Chan, C. K. Y. y Zhou, W. (2023). An expectancy value theory (EVT) based instrument for measuring student perceptions of generative AI. Smart Learning Environments, 10(1), 64. https://doi.org/10.1186/s40561-023-00284-4

Chiu, T. K. F. (2024). A classification tool to foster self-regulated learning with generative artificial intelligence by applying self determination theory: a case of ChatGPT. Educational Technology Research and Development, 72(4), 2401-2416. https://doi.org/10.1007/s11423-024-10366-w

Chung, J. Y. y Jeong, S.-H. (2024). Exploring the perceptions of Chinese pre-service teachers on the integration of generative AI in English language teaching: Benefits, challenges, and educational implications. Online Journal of Communication and Media Technologies, 14(4), e202457. https://doi.org/10.30935/ojcmt/15266

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. https://doi.org/10.1007/s10956-023-10039-y

Cun, A. y Huang, T. (2024). Generative AI and TPACK in Teacher Education: Pre-service Teachers’ Perspectives. En M. Searson, E. Langran, y J. Trumble (Eds.), Exploring New Horizons: Generative Artificial Intelligence and Teacher Education (pp. 62-75). AACE. https://bit.ly/4jeWxJx

Dowd, N. y Langran, E. (2024). Enhancing Special Education Lesson Planning: Harnessing the Potential of ChatGPT for In Service and Pre-Service Teachers. En Society for Information Technology & Teacher Education International Conference (pp. 728-737). AACE. https://bit.ly/4khhK6M

Escalante Jiménez, J. L. (2024). Actitud de los estudiantes universitarios de educación ante el uso de la inteligencia artificial. Ciencia y Sociedad, 49(2), 3-17. https://doi.org/10.22206/ciso.2024.v49i2.3082

Foroughi, B., Senali, M. G., Iranmanesh, M., Khanfar, A., Ghobakhloo, M., Annamalai, N., et al. (2023). Determinants of Intention to Use ChatGPT for Educational Purposes: Findings from PLS-SEM and fsQCA. International Journal of Human–Computer Interaction, 40(17), 4501-4520. https://doi.org/10.1080/10447318.2023.2226495

Gökçearslan, ?., Tosun, C. y Erdemir, Z. G. (2024). Benefits, Challenges, and Methods of Artificial Intelligence (AI) Chatbots in Education: A Systematic Literature Review. International Journal of Technology in Education, 7(1), 19-39. https://doi.org/10.46328/ijte.600

Hadi Mogavi, R., Deng, C., Juho Kim, J., Zhou, P., Kwon, Y. D., Hosny Saleh Metwally, A., et al. (2024). ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters’ utilization and perceptions. Computers in Human Behavior: Artificial Humans, 2(1), 100027. https://doi.org/10.1016/j.chbah.2023.100027

Hmoud, M., Swaity, H., Hamad, N., Karram, O. y Daher, W. (2024). Higher Education Students’ Task Motivation in the Generative Artificial Intelligence Context: The Case of ChatGPT. Information, 15(1), 33. https://doi.org/10.3390/info15010033

Ibrahim, H., Liu, F., Asim, R., Battu, B., Benabderrahmane, S., Alhafni, B., et al. (2023). Perception, performance, and detectability of conversational artificial intelligence across 32 university courses. Scientific Reports, 13(1), 12187. https://doi.org/10.1038/s41598-023-38964-3

Imran, A. A. y Lashari, A. A. (2023). Exploring the World of Artificial Intelligence: The Perception of the University Students about ChatGPT for Academic Purpose. Global Social Sciences Review, 8(1), 375-384. https://doi.org/10.31703/gssr.2023(VIII-I).34

Jarrah, A. M., Wardat, Y. y Fidalgo, P. (2023). Using ChatGPT in academic writing is (not) a form of plagiarism: What does the literature say? Online Journal of Communication and Media Technologies, 13(4), e202346. https://doi.org/10.30935/ojcmt/13572

Jere, S., Bessong, R., Mpeta, M., & Litshani, N. (2024). Pre-service Physical Sciences Teachers ’ Views on Integrating ChatGPT into Teaching: A Case Study. Research Square. https://doi.org/https://doi.org/10.21203/rs.3.rs-4783356/v1

Krushinskaia, K., Elen, J. y Raes, A. (2024). Design and Development of a Co-instructional Designer Bot Using GPT-4 to Support Teachers in Designing Instruction. En CEUR Workshop Proceedings (pp. 26-37). https://bit.ly/3ZtYdYq

Lan, Y.-J., Chen, Y.-H. y Tu, Y.-F. (2024). Pre-service CFL teachers? conceptions of and attitudes toward ICT and image-GAI in Chinese teaching: A drawing perspective. Educational Technology & Society, 27(4), 431-453. https://www.jstor.org/stable/48791565

Lee, G.-G. y Zhai, X. (2024). Using ChatGPT for Science Learning: A Study on Pre-service Teachers’ Lesson Planning. IEEE Transactions on Learning Technologies, 17, 1643-1660. https://doi.org/10.1109/TLT.2024.3401457

Li, Y. y Chiu, T. K. F. (2025). The mediating effects of needs satisfaction on the relationship between teacher support and student engagement with generative artificial intelligence (GenAI) chatbots from a self-determination theory (SDT) perspective. Education and Information Technologies. https://doi.org/10.1007/s10639-025-13574-w

Markos, A., Prentzas, J. y Sidiropoulou, M. (2024). Pre-Service Teachers’ Assessment of ChatGPT’s Utility in Higher Education: SWOT and Content Analysis. Electronics, 13(10), 1985. https://doi.org/10.3390/electronics13101985

Nyaaba, M., Kyeremeh, P., Majialuwe, E. K., Owusu-Fordjour, C., Asebiga, E. y A-ingkonge, B. (2024). Generative AI in Academic Research: A Descriptive Study on Awareness, Gender Usage, and Views among Pre-Service Teachers. Journal of AI, 8(1), 45-60. https://doi.org/10.61969/jai.1400867

Palacios, C. R., Palacios, E. L., Álvarez, F. D. y Gonzales, T. M. (2025). Percepciones, prácticas y actitudes hacia el uso de chatbots de inteligencia artificial generativa con fines académicos de estudiantes universitarios peruanos. Formación Universitaria, 18(4), 61-72. https://doi.org/10.4067/s0718-50062025000400061

Powell, W. y Courchesne, S. (2024). Opportunities and risks involved in using ChatGPT to create first grade science lesson plans. PloS One, 19(6), e0305337. https://doi.org/10.1371/journal.pone.0305337

Raman, R., Mandal, S., Das, P., Kaur, T., Sanjanasri, J. P. y Nedungadi, P. (2024). Exploring University Students’ Adoption of ChatGPT Using the Diffusion of Innovation Theory and Sentiment Analysis With Gender Dimension. Human Behavior and Emerging Technologies, 2024(1), 3085910. https://doi.org/10.1155/2024/3085910

Richter, E., Brunner, M. y Richter, D. (2021). Teacher educators’ task perception and its relationship to professional identity and teaching practice. Teaching and Teacher Education, 101, 103303. https://doi.org/10.1016/j.tate.2021.103303

Romero-Rodríguez, J.-M., Ramírez-Montoya, M.-S., Buenestado-Fernández, M. y Lara-Lara, F. (2023). Use of ChatGPT at University as a Tool for Complex Thinking: Students’ Perceived Usefulness. Journal of New Approaches in Educational Research, 12(2), 323-339. https://doi.org/10.7821/naer.2023.7.1458

Rudolph, J., Tan, S. y Tan, S. (2023). War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. Journal of Applied Learning and Teaching, 6(1), 364-389. https://doi.org/10.37074/jalt.2023.6.1.23

Sallam, M., Salim, N. A., Barakat, M., Al-Mahzoum, K., Al-Tammemi, A. a. B., Malaeb, D., et al. (2023). Assessing Health Students’ Attitudes and Usage of ChatGPT in Jordan: Validation Study. JMIR Medical Education, 9(1), e48254. https://doi.org/10.2196/48254

Schellekens, L. H., Kremer, W. D. J., Van der Schaaf, M. F., Van der Vleuten, C. P. M. y Bok, H. G. J. (2023). Between Theory and Practice: Educators’ Perceptions on Assessment Quality Criteria and Its Impact on Student Learning. Frontiers in Education, 8, 1147213. https://doi.org/10.3389/feduc.2023.1147213

Shoufan, A. (2023). Exploring Students’ Perceptions of ChatGPT: Thematic Analysis and Follow-Up Survey. IEEE Access, 11, 38805-38818. https://doi.org/10.1109/ACCESS.2023.3268224

Slimi, Z., Benayoune, A. y Alemu, A. E. (2025). Students’ Perceptions of Artificial Intelligence Integration in Higher Education. European Journal of Educational Research, 14(2), 471-484. https://doi.org/10.12973/eu-jer.14.2.471

Socorro Ovalles, J. A. (2024). Actitudes del profesorado ante el uso y manejo de la inteligencia artificial generativa (IAG) de modo eficiente. Revista Científica de Salud y Desarrollo Humano, 5(3), 1183-1213. https://doi.org/10.61368/r.s.d.h.v5i3.325

Strzelecki, A. (2023). To use or not to use ChatGPT in higher education? A study of students’ acceptance and use of technology. Interactive Learning Environments, 32(9), 5142-5155. https://doi.org/10.1080/10494820.2023.2209881

Taveras-Sánchez, B. Y. (2024). Actitud hacia el uso académico del ChatGPT de docentes en formación de República Dominicana. Ciencia y Educación, 8(2), 5-26. https://doi.org/10.22206/ciened.2024.v8i2.pp5-26

Tlili, A., Shehata, B., Adarkwah, M. A., Bozkurt, A., Hickey, D. T., Huang, R., et al. (2023). What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10(1), 15. https://doi.org/10.1186/s40561-023-00237-x

Urban, M., D?cht?renko, F., Lukavský, J., Hrabalová, V., Svacha, F., Brom, C., et al. (2024). ChatGPT improves creative problem-solving performance in university students: An experimental study. Computers & Education, 215, 105031. https://doi.org/10.1016/j.compedu.2024.105031

van den Berg, G. y du Plessis, E. (2023). ChatGPT and Generative AI: Possibilities for Its Contribution to Lesson Planning, Critical Thinking and Openness in Teacher Education. Education Sciences, 13(10), 998. https://doi.org/10.3390/educsci13100998

Wang, K., Ruan, Q., Zhang, X., Fu, C. y Duan, B. (2024). Pre-Service Teachers’ GenAI Anxiety, Technology Self-Efficacy, and TPACK: Their Structural Relations with Behavioral Intention to Design GenAI-Assisted Teaching. Behavioral Sciences, 14(5), 373. https://doi.org/10.3390/bs14050373

Wang, T., Lund, B. D., Marengo, A., Pagano, A., Mannuru, N. R., Teel, Z. A., et al. (2023). Exploring the Potential Impact of Artificial Intelligence (AI) on International Students in Higher Education: Generative AI, Chatbots, Analytics, and International Student Success. Applied Sciences, 13(11), 6716. https://doi.org/10.3390/app13116716

Wisniewski, B., Röhl, S. y Fauth, B. (2021). The perception problem: a comparison of teachers’ self-perceptions and students’ perceptions of instructional quality. Learning Environments Research, 25(3), 775-802. https://doi.org/10.1007/s10984-021-09397-4

Yzquierdo-Herrera, R. y Morales-Oliva, A. (2023). Retos menos evidentes en la integración de la inteligencia artificial en el entorno universitario. UCE Ciencia. Revista de postgrado, 11(2), 1-8. https://bit.ly/45krk4g

Published

2025-10-04

How to Cite

Dra. Berki Yoselin Taveras-Sánchez, & MSc. Rosario Figueroa Figueroa. (2025). Perception on Artificial Intelligence of Dsominican Republic Pre service Teachers. Comunicar, 33(83), 115–127. https://doi.org/10.5281/zenodo.17217320

Issue

Section

Research Article