An exploratory literature review on the use of artificial intelligence in education
DOI:
https://doi.org/10.56665/PADIPE.2023.1.1Keywords:
artificial intelligence, technology integration, literature review, challenges, educational sciencesAbstract
Artificial Intelligence (AI) in education is not a new topic, but recent events and the media coverage have brought
to the fore the potential of generative AI tools based on large language models (e.g. ChatGPT developed by
OpenAI). It is likely that these effects are overestimated in the short term, but generally underestimated in the long
term. However, there is no doubt that the field cannot remain unreflected from the perspectives of educational
research and pedagogical practice. Recent articles has also shown that research on the use of AI in education is
less critical of pedagogical challenges, has weak links to learning theory considerations and little knowledge is
available on their pedagogical usability. This paper reflects on these shortcomingsfrom an educational perspective.
In order to address the problem, we first review the basic concepts relevant to an understanding of the topic, which
are related to the field of artificial intelligence. We will review the emergence of AI in the field of education: how
the topic appearsin the discourse of educationalsciences and how different AI solutions can be used in pedagogical
practice. Based on thisreviw, we present the challenges of implementing AI in pedagogical practice, mainly related
to the competences of teachers (AI literacy) and the changing roles that are emerging as a result of these opportunities. To summarise the paper, we will review the main challenges and dilemmas to counterbalance the opportunities and build on this to formulate the key challenges and tasks ahead for the different stakeholders (policy,
academic and practice communities) based on the literature review. The aim of our literature review is to position
the topic in the discourse of educational science and to help lay the groundwork for the interdisciplinary collaborations needed to move forward.
References
AlDahdouh, A. (2017). Does Artificial Neural Network Support Connectivism’s Assumptions?International Journal of Instructional Technology and Distance Learning, 13(3), 3–26.
Apiola, M.-V., & Sutinen, E. (2020). Towards Constructivist Design of Artificial Intelligence: Perspectives and Ideas. Constructivist Foundations, 16(1), Article 1.
Bai, X., & Stede, M. (2022). A Survey of Current Machine Learning Approaches to Student Free-Text Evaluation for Intelligent Tutoring. International Journal of Artificial Intelligence in Education.
https://doi.org/10.1007/s40593-022-00323-0
Bearman, M., Ryan, J., & Ajjawi, R. (2022). Discourses of artificial intelligence in higher education: A critical literature review. Higher Education. https://doi.org/10.1007/s10734-022-00937-2
Bengel, D. (2020). Organizational Acceptance of Artificial Intelligence: Identification of AI Acceptance Factors Tailored to the German Financial Services Sector. Springer Fachmedien Wiesbaden.
https://doi.org/10.1007/978-3-658-30794-3
Bulathwela, S., Pérez-Ortiz, M., Holloway, C., & Shawe-Taylor, J. (2021). Could AI Democratise Education? Socio-Technical Imaginaries of an EdTech Revolution (arXiv:2112.02034). arXiv. https://doi.org/10.48550/arXiv.2112.02034
Celik, I., Dindar, M., Muukkonen, H., & Järvelä, S. (2022). The Promises and Challenges of Artificial Intelligence for Teachers: A Systematic Review of Research. TechTrends, 66(4), 616–630.
https://doi.org/10.1007/s11528-022-00715-y
Chaka, C. (2023). Fourth industrial revolution—A review of applications, prospects, and challenges for artificial intelligence, robotics and blockchain in higher education. Research and Practice in Technology Enhanced Learning, 18. https://rptel.apsce.net/index.php/RPTEL/article/view/2023-18002
Chaudhri, V. K., Lane, H. C., Gunning, D., & Roschelle, J. (2013). Intelligent Learning Technologies: Applications of Artificial Intelligence to Contemporary and Emerging Educational Challenges. AI Magazine, 34(3), Article 3. https://doi.org/10.1609/aimag.v34i3.2482
Chichekian, T., & Benteux, B. (2022). The potential of learning with (and not from) artificial intelligence in education. Frontiers in Artificial Intelligence, 5. https://www.frontiersin.org/articles/10.3389/frai.2022.903051
Chiu, T. K. F., Xia, Q., Zhou, X., Chai, C. S., & Cheng, M. (2023). Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education. Computers and
Education: Artificial Intelligence, 4, 100118. https://doi.org/10.1016/j.caeai.2022.100118
Daugherty, P. R., & Wilson, H. J. (2018). Human + Machine: Reimagining Work in the Age of AI. Harvard Business Review Press.
Downes, S. (2020). Recent Work in Connectivism. European Journal of Open, Distance and E-Learning,
(2), 113–132. https://doi.org/10.2478/eurodl-2019-0014
du Boulay, B. (2022). Artificial intelligence in education and ethics. In O. Zawacki-Richter & I. Jung (Szerk.), Handbook of Open, Distance and Digital Education (o. 1–16). Springer.
Edwards, B. I., & Cheok, A. D. (2018). Why Not Robot Teachers: Artificial Intelligence for Addressing
Teacher Shortage. Applied Artificial Intelligence, 32(4), 345–360. https://doi.org/10.1080/08839514.2018.1464286
Fahd, K., Venkatraman, S., Miah, S. J., & Ahmed, K. (2022). Application of machine learning in higher education to assess student academic performance, at-risk, and attrition: A meta-analysis of literature. Education and Information Technologies, 27(3), 3743–3775. https://doi.org/10.1007/s10639-021-10741-7
Felix, C. V. (2020). The Role of the Teacher and AI in Education. In E. Sengupta, P. Blessinger, & M. S.
Makhanya (Szerk.), International Perspectives on the Role of Technology in Humanizing Higher Education (Köt. 33, o. 33–48). Emerald Publishing Limited. https://doi.org/10.1108/S2055-364120200000033003
Florea, A. M., & Radu, S. (2019). Artificial Intelligence and Education. 2019 22nd International Conference on Control Systems and Computer Science (CSCS), 381–382. https://doi.org/10.1109/CSCS.2019.00069
Garito, M. A. (1991). Artificial intelligence in education: Evolution of the teaching—learning relationship.
British Journal of Educational Technology, 22(1), 41–47. https://doi.org/10.1111/j.1467-8535.1991.tb00050.x
Ge, Z., & Hu, Y. (2020). Innovative Application of Artificial Intelligence (AI) in the Management of Higher
Education and Teaching. Journal of Physics: Conference Series, 1533(3), 032089. https://doi.org/10.1088/1742-6596/1533/3/032089
González-Calatayud, V., Prendes-Espinosa, P., & Roig-Vila, R. (2021). Artificial Intelligence for Student Assessment: A Systematic Review. Applied Sciences, 11(12), Article 12. https://doi.org/10.3390/app11125467
Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year datadriven historical analysis. International Journal of Innovation Studies, 4(4), 134–147.
https://doi.org/10.1016/j.ijis.2020.09.001
Guilherme, A. (2019). AI and education: The importance of teacher and student relations. AI & SOCIETY, 34(1), 47–54. https://doi.org/10.1007/s00146-017-0693-8
High-Level Expert Group on Artificial Intelligence. (2019). A definition of AI: Main capabilities and scientific disciplines. European Commission. https://ec.europa.eu/newsroom/dae/document.cfm?doc_id=56341
Hof, B. (2021). The Turtle and the Mouse: How Constructivist Learning Theory Shaped Artificial Intelligence and Educational Technology in the 1960s. History of Education, 50(1), 93–111.
https://doi.org/10.1080/0046760X.2020.1826053
Holmes, W., & Porayska-Pomsta, K. (Szerk.). (2022). The Ethics of Artificial Intelligence in Education (1st edition). Routledge.
Holstein, K., McLaren, B. M., & Aleven, V. (2019). Co-Designing a Real-Time Classroom Orchestration
Tool to Support Teacher–AI Complementarity. Journal of Learning Analytics, 6(2), Article 2.
https://doi.org/10.18608/jla.2019.62.3
Horváth, L. (2022). A tanulószervezet kontextus-adaptált modellje a magyar köznevelésben a pedagógusok munkahelyi elégedettségének függvényében. Iskolakultúra, 32(4), 48–69.
https://doi.org/10.14232/ISKKULT.2022.4.48
Huang, J., Saleh, S., & Liu, Y. (2021). A Review on Artificial Intelligence in Education. Academic Journal of Interdisciplinary Studies, 10(3), 206–217. https://doi.org/10.36941/ajis-2021-0077
Joint Research Centre (European Commission), Samoili, S., López Cobo, M., Delipetrev, B., Martínez-Plumed, F., Gómez, E., & De Prato, G. (2021). AI watch, defining artificial intelligence 2.0: Towards an operational definition and taxonomy for the AI landscape. Publications Office of the European Union. https://data.europa.eu/doi/10.2760/019901
Kasinathan, G. (2020). Making AI Work in Indian Education (SSRN Scholarly Paper Sz. 3873187). https://doi.org/10.2139/ssrn.3873187
Kasneci, E., Seßler, K., Küchemann, S., Bannert, M., Dementieva, D., Fischer, F., Gasser, U., Groh, G., Günnemann, S., Hüllermeier, E., Krusche, S., Kutyniok, G., Michaeli, T., Nerdel, C., Pfeffer, J., Poquet, O., Sailer, M., Schmidt, A., Seidel, T., … Kasneci, G. (2023). ChatGPT for Good? On Opportunities and Challenges of Large Language Models for Education [Preprint]. EdArXiv. https://doi.org/10.35542/osf.io/5er8f
Khalil, M., Prinsloo, P., & Slade, S. (2022). The use and application of learning theory in learning analytics: A scoping review. Journal of Computing in Higher Education. https://doi.org/10.1007/s12528-022-09340-3
Kolchenko, V. (2018). Can Modern AI replace teachers? Not so fast! Artificial Intelligence and Adaptive
Learning: Personalized Education in the AI age. HAPS Educator, 22(3), 249–252.
https://doi.org/10.21692/haps.2018.032
Kop, R., & Hill, A. (2008). Connectivism: Learning theory of the future or vestige of the past? The International Review of Research in Open and Distributed Learning, 9(3). https://doi.org/10.19173/irrodl.v9i3.523
Krstić, L., Aleksić, V., & Krstić, M. (2022). Artificial Intelligence in Education: A Review. In 9th International Scientific Conference Technics and Informatics in Education – TIE 2022 (o. 223–228).
https://doi.ub.kg.ac.rs/doi/zbornici/10-46793-tie22-223k/
Lameras, P., & Arnab, S. (2022). Power to the Teachers: An Exploratory Review on Artificial Intelligence in Education. Information, 13(1), Article 1. https://doi.org/10.3390/info13010014
Lénárd S., Kovács I., Tóth-Pjeczka K., & Urbán K. (2020). A pedagógusok folyamatos szakmai fejlődését befolyásolószervezeti tényezők. Neveléstudomány, 2020/1, 46–61. https://doi.org/10.21549/NTNY.28.2020.1.3
Lénárd S., Szivák J., Tóth-Pjeczka K., Urbán K., & Horváth L. (2022). Tanulószervezeti jellemzők és a pedagógusok tanulása a hazai köznevelési rendszerben. Neveléstudomány, 1, 37–52.
https://doi.org/10.21549/NTNY.36.2022.1.2
Long, D., & Magerko, B. (2020). What is AI Literacy? Competencies and Design Considerations. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (o. 1–16). Association for Computing Machinery. https://doi.org/10.1145/3313831.3376727
Luckin, R., Cukurova, M., Kent, C., & du Boulay, B. (2022). Empowering educators to be AI-ready. Computers and Education: Artificial Intelligence, 3, 100076. https://doi.org/10.1016/j.caeai.2022.100076
Malik, G., Tayal, D. K., & Vij, S. (2019). An Analysis of the Role of Artificial Intelligence in Education and
Teaching. In P. K. Sa, S. Bakshi, I. K. Hatzilygeroudis, & M. N. Sahoo (Szerk.), Recent Findings in Intelligent Computing Techniques (o. 407–417). Springer. https://doi.org/10.1007/978-981-10-8639-7_42
Mondal, K. (2019). A Synergy of Artificial Intelligence and Education in the 21st Century Classrooms. 2019 International Conference on Digitization (ICD). https://www.semanticscholar.org/paper/A-Synergy-of-Artificial-Intelligence-and-Education-Mondal/fb9feb93c148698f6c321d036d438f878c956304
Namoun, A., & Alshanqiti, A. (2021). Predicting Student Performance Using Data Mining and Learning
Analytics Techniques: A Systematic Literature Review. Applied Sciences, 11(1), Article 1.
https://doi.org/10.3390/app11010237
Ng, D. T. K., Leung, J. K. L., Chu, S. K. W., & Qiao, M. S. (2021). Conceptualizing AI literacy: An exploratory review. Computers and Education: Artificial Intelligence, 2, 100041. https://doi.org/10.1016/j.caeai.2021.100041
Niemi, H. (2021). AI in learning: Preparing grounds for future learning. Journal of Pacific Rim Psychology, 15, 18344909211038104. https://doi.org/10.1177/18344909211038105
OECD. (2022). Trends Shaping Education 2022. Organisation for Economic Co-operation and Development. https://www.oecd-ilibrary.org/education/trends-shaping-education-2022_6ae8771a-en
Reiss, M. J. (2021). The use of AI in education: Practicalities and ethical considerations. London Review of Education, 19. https://doi.org/10.14324/LRE.19.1.05
Rienties, B., Køhler Simonsen, H., & Herodotou, C. (2020). Defining the Boundaries Between Artificial Intelligence in Education, Computer-Supported Collaborative Learning, Educational Data Mining, and Learning Analytics: A Need for Coherence. Frontiers in Education, 5. https://www.frontiersin.org/articles/10.3389/feduc.2020.00128
Russell, S., & Norvig, P. (2020). Artificial Intelligence: A Modern Approach (4th edition). Pearson.
Selwyn, N. (2022). The future of AI and education: Some cautionary notes. European Journal of Education, 57(4), 620–631. https://doi.org/10.1111/ejed.12532
Skog, D. A., Wimelius, H., & Sandberg, J. (2018). Digital Disruption. Business & Information Systems Engineering, 60(5), 431–437. https://doi.org/10.1007/s12599-018-0550-4
Sperling, K., Stenliden, L., Nissen, J., & Heintz, F. (2022). Still w(AI)ting for the automation of teaching: An exploration of machine learning in Swedish primary education using Actor-Network Theory. European Journal of Education, 57(4), 584–600. https://doi.org/10.1111/ejed.12526
Su, J., & Zhong, Y. (2022). Artificial Intelligence (AI) in early childhood education: Curriculum design and future directions. Computers and Education: Artificial Intelligence, 3, 100072.
https://doi.org/10.1016/j.caeai.2022.100072
Tahiru, F. (2021). AI in Education: A Systematic Literature Review. Journal of Cases on Information Technology, 23(1), 1–20. https://doi.org/10.4018/JCIT.2021010101
UNESCO. (2015). Qingdao Declaration. UNESCO. https://en.unesco.org/icted/sites/default/files/2019-
/37_qingdao_declaration.pdf
UNESCO. (2019). Beijing Consensus on Artificial Intelligence and Education. Outcome document of the International Conference on Artificial Intelligence and Education ‘Planning education in the AI era: Lead the leap’. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000368303
Vazhayil, A., Shetty, R., Bhavani, R. R., & Akshay, N. (2019). Focusing on Teacher Education to Introduce
AI in Schools: Perspectives and Illustrative Findings. 2019 IEEE Tenth International Conference on Technology for Education (T4E), 71–77. https://doi.org/10.1109/T4E.2019.00021
Vinichenko, M. V., Rybakova, M. V., Vinogradova, M. V., Malyshev, M. A., & Maksimov, A. A. (2020).
The Effect of Digital Economy and Artificial Intelligence on The Participants of The School Educational Process. Propósitos y Representaciones, e694–e694. https://doi.org/10.20511/pyr2020.v8nSPE2.694
Wang, L. (2020). Artificial Intelligence and Career Development of College Teachers: Challenge and Countermeasures. Journal of Physics: Conference Series, 1550(2), 022030.
https://doi.org/10.1088/1742-6596/1550/2/022030
Xu, W., & Ouyang, F. (2022). A systematic review of AI role in the educational system based on a proposed conceptual framework. Education and Information Technologies, 27(3), 4195–4223.
https://doi.org/10.1007/s10639-021-10774-y
Zawacki-Richter, O., Marín, V. I., Bond, M., & Gouverneur, F. (2019). Systematic review of research on artificial intelligence applications in higher education – where are the educators? International Journal of Educational Technology in Higher Education, 16(1), 39. https://doi.org/10.1186/s41239-019-0171-0
Zhao, M., Liu, W., Saif, A. N. M., Wang, B., Rupa, R. A., Islam, K. M. A., Rahman, S. M. M., Hafiz, N., Mostafa, R., & Rahman, M. A. (2023). Blockchain in Online Learning: A Systematic Review and Bibliographic Visualization. Sustainability, 15(2), Article 2. https://doi.org/10.3390/su15021470