Abstract
Several publications from across the globe have noted the rapid growth of the field of Artificial Intelligence in Education (AIEd). Even though it has been around for over 30 years, many professors are still confused about its implementation in their classrooms. This research surveys the existing literature on this issue by means of a systematic review. Only 112 of the 2984 articles identified between 2006 and 2021 met the exclusion and inclusion criteria necessary for incorporation in the final synthesis. Descriptive results show that STEM and subjects related to computer science predominate in AIEd articles and that ‘quantitative methods’ predominate in empirical research. The findings are arranged into 4 categorical groupings: (1) intelligent tutoring systems; (2) personalization and adaptive systems; (3) evaluation and assessment; and (4) prediction and profiling, all of which can be applied to institutional and administrative services, academic support services, and assessment and evaluation. The findings call for firm attention towards the lack of critical thinking on the challenges and risks of AIEd and towards the necessity for more comprehensive research on ethical and pedagogical techniques in the deployment of AIEd in higher education.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Chatterjee, S., Bhattacharjee, K.K.: Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling. Educ. Inf. Technol. 25(5), 3443–3463 (2020)
Alam, A.: Challenges and possibilities in teaching and learning of calculus: a case study of India. J. Educ. Gifted Young Sci. 8(1), 407–433 (2020)
Bates, T., Cobo, C., Mariño, O., Wheeler, S.: Can artificial intelligence transform higher education? Int. J. Educ. Technol. High. Educ. 17(1), 1–12 (2020). https://doi.org/10.1186/s41239-020-00218-x
Dilmurod, R., Fazliddin, A.: Prospects for the introduction of artificial intelligence technologies in higher education. Academicia: Int. Multi. Res. J. 11(2), 929–934 (2021)
Knox, J.: Artificial intelligence and education in China. Learn. Media Technol. 45(3), 298–311 (2020)
Alam, A.: Designing XR into higher education using immersive learning environments (ILEs) and hybrid education for innovation in HEIs to attract UN’s education for sustainable development (ESD) Initiative. In: 2021 International Conference on Advances in Computing, Communication, and Control (ICAC3), pp. 1–9. IEEE (2021)
Guan, C., Mou, J., Jiang, Z.: Artificial intelligence innovation in education: a twenty-year data-driven historical analysis. Int. J. Innovation Stud. 4(4), 134–147 (2020)
Chen, X., Xie, H., Zou, D., Hwang, G.J.: Application and theory gaps during the rise of artificial intelligence in education. Comput. Educ.: Artif. Intell. 1, 100002 (2020)
Alam, A.: Educational robotics and computer programming in early childhood education: a conceptual framework for assessing elementary school students’ computational thinking for designing powerful educational scenarios. In: 2022 International Conference on Smart Technologies and Systems for Next Generation Computing (ICSTSN), pp. 1–7. IEEE (2022)
Alyahyan, E., Düştegör, D.: Predicting academic success in higher education: literature review and best practices. Int. J. Educ. Technol. High. Educ. 17(1), 1–21 (2020). https://doi.org/10.1186/s41239-020-0177-7
Rampersad, G.: Robot will take your job: innovation for an era of artificial intelligence. J. Bus. Res. 116, 68–74 (2020)
Chen, L., Chen, P., Lin, Z.: Artificial intelligence in education: a review. Ieee Access 8, 75264–75278 (2020)
Cope, B., Kalantzis, M., Searsmith, D.: Artificial intelligence for education: knowledge and its assessment in AI-enabled learning ecologies. Educ. Philos. Theory 53(12), 1229–1245 (2021)
Alam, A.: Mapping a sustainable future through conceptualization of transformative learning framework, education for sustainable development, critical reflection, and responsible citizenship: an exploration of pedagogies for twenty-first century learning. ECS Trans. 107(1), 9827 (2022)
Yilmaz Ince, E., Kabul, A., Diler, İ: Distance education in higher education in the COVID-19 pandemic process: A case of Isparta Applied Sciences University. Int. J. Technol. Educ. Sci. 4(4), 345–351 (2020)
Alam, A. (2022). Employing Adaptive Learning and Intelligent Tutoring Robots for Virtual Classrooms and Smart Campuses: Reforming Education in the Age of Artificial Intelligence. In: Shaw, R.N., Das, S., Piuri, V., Bianchini, M. (eds) Advanced Computing and Intelligent Technologies. Lecture Notes in Electrical Engineering, vol 914. Springer, Singapore
Holmes, W., Bialik, M., Fadel, C.: Artificial Intelligence in Education (2020)
Wang, T., Cheng, E.C.K.: Towards a tripartite research agenda: a scoping review of artificial intelligence in education research. In: Cheng, E.C.K., Koul, R.B., Wang, T., Xinguo, Y. (eds.) Artificial Intelligence in Education: Emerging Technologies, Models and Applications. LNDECT, vol. 104, pp. 3–24. Springer, Singapore (2022). https://doi.org/10.1007/978-981-16-7527-0_1
Nemorin, S., Vlachidis, A., Ayerakwa, H.M., Andriotis, P.: AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development. Learn., Media Technol. 1–14 (2022). https://doi.org/10.1080/17439884.2022.2095568
Alam, A.: Cloud-based e-learning: scaffolding the environment for adaptive e-learning ecosystem based on cloud computing infrastructure. In: Computer Communication, Networking and IoT: Proceedings of 5th ICICC 2021, vol. 2, pp. 1–9. Springer Nature Singapore, Singapore (2022)
Holmes, W., Porayska-Pomsta, K. (eds.): The Ethics of Artificial Intelligence in Education: Practices, Challenges, and Debates. Taylor & Francis (2022)
Chen, X., Zou, D., Xie, H., Cheng, G., Liu, C.: Two decades of artificial intelligence in education. Educ. Technol. Soc. 25(1), 28–47 (2022)
Paek, S., Kim, N.: Analysis of worldwide research trends on the impact of artificial intelligence in education. Sustainability 13(14), 7941 (2021)
Akgun, S., Greenhow, C.: Artificial intelligence in education: addressing ethical challenges in K-12 settings. AI and Ethics 2, 431–440 (2021). https://doi.org/10.1007/s43681-021-00096-7
Bhimdiwala, A., Neri, R.C., Gomez, L.M.: Advancing the design and implementation of artificial intelligence in education through continuous improvement. Int. J. Artif. Intell. Educ. 32(3), 756–782 (2022)
Alam, A.: Test of knowledge of elementary vectors concepts (TKEVC) among first-semester bachelor of engineering and technology students. Periódico Tchê Química 17(35), 477–494 (2020)
Ouyang, F., Jiao, P.: Artificial intelligence in education: the three paradigms. Comput. Educ.: Artif. Intell. 2, 100020 (2021)
Holmes, W., et al.: Ethics of AI in education: towards a community-wide framework. Int. J. Artif. Intell. Educ. 32(3), 504–526 (2022)
Megahed, N.A., Abdel-Kader, R.F., Soliman, H.Y.: Post-pandemic education strategy: framework for artificial intelligence-empowered education in engineering (AIEd-Eng) for lifelong learning. In: International Conference on Advanced Machine Learning Technologies and Applications, pp. 544–556. Springer, Cham (2022)
Dickler, R., Dudy, S., Mawasi, A., Whitehill, J., Benson, A., Corbitt, A.: Interdisciplinary approaches to getting ai experts and education stakeholders talking. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds.) Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium. AIED 2022. Lecture Notes in Computer Science, vol. 13356. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-11647-6_20
Alam, A.: Positive psychology goes to school: conceptualizing students’ happiness in 21st century schools while ‘minding the mind!’are we there yet? evidence-backed, school-based positive psychology interventions. ECS Trans. 107(1), 11199 (2022)
Wang, T., Cheng, E.C.K.: An investigation of barriers to Hong Kong K-12 schools incorporating artificial intelligence in education. Comput. Educ.: Artif. Intell. 2, 100031 (2021)
Chan, L., Hogaboam, L., Cao, R.: Artificial intelligence in education. In: Applied Artificial Intelligence in Business, pp. 265–278. Springer, Cham (2022)
Khosravi, H., et al.: Explainable artificial intelligence in education. Comput. Educ.: Artif. Intell. 3, 100074 (2022)
Alam, A.: A digital game based learning approach for effective curriculum transaction for teaching-learning of artificial intelligence and machine learning. In: 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), pp. 69–74. IEEE (2022)
Schiff, D.: Out of the laboratory and into the classroom: the future of artificial intelligence in education. AI & Soc. 36(1), 331–348 (2020). https://doi.org/10.1007/s00146-020-01033-8
Sadiku, M.N., Musa, S.M., Chukwu, U.C.: Artificial Intelligence in Education. iUniverse (2022)
Lameras, P., Arnab, S.: Power to the teachers: an exploratory review on artificial intelligence in education. Information 13(1), 14 (2021)
Ezzaim, A., Kharroubi, F., Dahbi, A., Aqqal, A., Haidine, A.: Artificial intelligence in education-State of the art. Int. J. Comput. Eng. Data Sci. 2(2), 1–11 (2022)
Alam, A.: Possibilities and apprehensions in the landscape of artificial intelligence in education. In: 2021 International Conference on Computational Intelligence and Computing Applications (ICCICA), pp. 1–8. IEEE (2021)
Bozkurt, A., Karadeniz, A., Baneres, D., Guerrero-Roldán, A.E., Rodríguez, M.E.: Artificial intelligence and reflections from educational landscape: a review of AI studies in half a century. Sustainability 13(2), 800 (2021)
Sharples, M.: Automated essay writing: an AIED opinion. Int. J. Artif. Intell. Educ. 32(4), 1119–1126 (2022). https://doi.org/10.1007/s40593-022-00300-7
Biswas, G., Bull, S., Kay, J., Mitrovic, A. (eds.): AIED 2011. LNCS (LNAI), vol. 6738. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-21869-9
Ye, R., Sun, F., Li, J.: Artificial intelligence in education: origin, development and rise. In: Liu, X.-J., Nie, Z., Jingjun, Y., Xie, F., Song, R. (eds.) ICIRA 2021. LNCS (LNAI), vol. 13016, pp. 545–553. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-89092-6_49
Alam, A.: Should robots replace teachers? Mobilisation of AI and learning analytics in education. In: 2021 International Conference on Advances in Computing, Communication, and Control (ICAC3), pp. 1–12. IEEE (2021)
Zhang, K., Aslan, A.B.: AI technologies for education: Recent research & future directions. Comput. Educ.: Artif. Intell. 2, 100025 (2021)
Khazanchi, R., Khazanchi, P.: Artificial intelligence in education: a closer look into intelligent tutoring systems. In: Handbook of research on critical issues in special education for school rehabilitation practices, pp. 256–277. IGI Global (2021)
Nalbant, K.G.: The importance of artificial intelligence in education: a short review. J. Rev. Sci. Eng. 2021, 1–15 (2021)
Zheng, Y., Zhou, Z., Blikstein, P.: Towards an inclusive and socially committed community in artificial intelligence in education: a social network analysis of the evolution of authorship and research topics over 8 years and 2509 papers. In: Rodrigo, M.M., Matsuda, N., Cristea, A.I., Dimitrova, V. (eds.) Artificial Intelligence in Education. AIED 2022. Lecture Notes in Computer Science, vol. 13355. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-11644-5_34
Lameras, P., Paraskakis, I., Konstantinidis, S.: A rudimentary progression model for artificial intelligence in education competencies and skills. In: Auer, M.E., Tsiatsos, T. (eds.) IMCL 2021. LNNS, vol. 411, pp. 927–936. Springer, Cham (2022). https://doi.org/10.1007/978-3-030-96296-8_84
Alam, A.: Social robots in education for long-term human-robot interaction: socially supportive behaviour of robotic tutor for creating robo-tangible learning environment in a guided discovery learning interaction. ECS Trans. 107(1), 12389 (2022)
Hamal, O., El Faddouli, N.E., Harouni, M.H.A., Lu, J.: Artificial intelligent in education. Sustainability 14(5), 2862 (2022)
Campbell, C.: Artificial intelligence in education: contributors, collaborations, research topics, and challenges. Educ. Technol. Soc. 25(1), 28–47 (2022)
Ungerer, L., Slade, S.: Ethical considerations of artificial intelligence in learning analytics in distance education contexts. In: Prinsloo, P., Slade, S., Khalil, M. (eds.) Learning Analytics in Open and Distributed Learning: Potential and Challenges, pp. 105–120. Springer Nature Singapore, Singapore (2022). https://doi.org/10.1007/978-981-19-0786-9_8
Corbeil, M.E., Corbeil, J.R.: Establishing trust in artificial intelligence in education. In: Paliszkiewicz, Joanna, Chen, Kuanchin (eds.) Trust, Organizations and the Digital Economy: Theory and Practice, pp. 49–60. Routledge, New York (2021). https://doi.org/10.4324/9781003165965-5
Xia, Q., Chiu, T.K., Lee, M., Sanusi, I.T., Dai, Y., Chai, C.S.: A self-determination theory (SDT) design approach for inclusive and diverse artificial intelligence (AI) education. Comput. Educ. 189, 104582 (2022)
Alam, A.: Possibilities and challenges of compounding artificial intelligence in India’s educational landscape. Int. J. Adv. Sci. Technol. 29(5), 5077–5094 (2020)
Dai, C.P., Ke, F.: Educational applications of artificial intelligence in simulation-based learning: a systematic mapping review. Comput. Educ.: Artif. Intell. 3, 100087 (2022)
Yang, S.J., Ogata, H., Matsui, T., Chen, N.S.: Human-centered artificial intelligence in education: seeing the invisible through the visible. Comput. Educ.: Artif. Intell. 2, 100008 (2021)
Alam, A.: Investigating sustainable education and positive psychology interventions in schools towards achievement of sustainable happiness and wellbeing for 21st century pedagogy and curriculum. ECS Trans. 107(1), 19481 (2022)
Channa, F.R., Sarhandi, P.S.A., Bugti, F., Pathan, H.: Harnessing artificial intelligence in education for preparing learners for the 21st century. Elementary Educ. Online 20(5), 3186 (2021)
Xu, W., Ouyang, F.: The application of AI technologies in STEM education: a systematic review from 2011 to 2021. Int. J. STEM Educ. 9(1), 1–20 (2022)
Alam, A.: Pedagogy of calculus in India: an empirical investigation. Periódico Tchê Química 17(34), 164–180 (2020)
Chaudhry, M.A., Kazim, E.: Artificial intelligence in education (AIEd): a high-level academic and industry note 2021. AI and Ethics 2(1), 157–165 (2022)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Switzerland AG
About this paper
Cite this paper
Alam, A., Mohanty, A. (2022). Foundation for the Future of Higher Education or ‘Misplaced Optimism’? Being Human in the Age of Artificial Intelligence. In: Panda, M., et al. Innovations in Intelligent Computing and Communication. ICIICC 2022. Communications in Computer and Information Science, vol 1737. Springer, Cham. https://doi.org/10.1007/978-3-031-23233-6_2
Download citation
DOI: https://doi.org/10.1007/978-3-031-23233-6_2
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-031-23232-9
Online ISBN: 978-3-031-23233-6
eBook Packages: Computer ScienceComputer Science (R0)