Educational Collaboration : Teachers and Artificial Intelligence

Mujiono Mujiono

Abstract


This study aims to analyze the collaboration between teachers and Artificial Intelligence that can meet the needs and goals of better education. This study uses a qualitative descriptive method with a literature review research design by collecting information from reputable international journal articles indexed in Scopus over the last five years (2018-2023) using the Publish or Perish search tool. The process of meta-analysis in this research begins with formulating the research question, andthen collecting relevant literature data that aligns with the research question. Next, the data is prepared by evaluating the literature's relevance to the research topic. Afterwards, the data from the selected literature is analyzed and synthesized. The results show that collaboration between teachers and Artificial Intelligence can be a good solution to improve learning effectiveness and help students learn in a personalized way. Although Artificial Intelligence technology can assist teachers in the learning process, teachers still play an important role in guiding and inspiring students. Therefore, collaboration between teachers and Artificial Intelligence technology should also be done carefully and directed towards improving a better and more meaningful learning experience for students.

Keywords


Educational Collaboration; Teachers; Artificial Intelligence; Technology.

Full Text:

PDF

References


Acemoglu, D., & Restrepo, P. (2019). Artificial Intelligence, Automation, and Work. In The Economics of Artificial Intelligence: An Agenda (pp. 197–236).

Aguilar, J., Garces-Jimenez, A., R-Moreno, M. D., & García, R. (2021). A systematic literature review on the use of artificial intelligence in energy self-management in smart buildings. Renewable and Sustainable Energy Reviews, 151, 1–16. https://doi.org/10.1016/j.rser.2021.111530

Akgun, S., & Greenhow, C. (2022). Artificial intelligence in education: Addressing ethical challenges in K-12 settings. AI and Ethics, 2(3), 431–440. https://doi.org/10.1007/s43681-021-00096-7

Allal-Chérif, O., Aránega, A. Y., & Sánchez, R. C. (2021). Intelligent recruitment: How to identify, select, and retain talents from around the world using artificial intelligence. Technological Forecasting & Social Change, 169, 1–11. https://doi.org/10.1016/j.techfore.2021.120822

Allen, G. (2020). Understanding AI Technology A concise, practical, and readable overview of Artificial Intelligence and Machine Learning technology designed for non-technical managers, officers, and executives April 2020. https://www.linkedin.com/company/dod-joint-artificial-intelligence-center/

Bagunaid, W., Chilamkurti, N., & Veeraraghavan, P. (2022). AISAR: Artificial Intelligence-Based Student Assessment and Recommendation System for E-Learning in Big Data. Sustainability (Switzerland), 14(17), 1–22. https://doi.org/10.3390/su141710551

Barrios Tao, H., Diaz, V. R., & Guerra, Y. M. (2019). ARTIFICIAL INTELLIGENCE AND EDUCATIONChallenges and disadvantagesfor the teacher. ARTIC JOURNAL, 72(12), 30–50.

Baryannis, G., Validi, S., Dani, S., & Antoniou, G. (2019). Supply chain risk management and artificial intelligence: state of the art and future research directions. International Journal of Production Research, 57(7), 2179–2202. https://doi.org/10.1080/00207543.2018.1530476

Chan, L., Morgan, I., Simon, H., Alshabanat, F., Ober, D., Gentry, J., Min, D., & Cao, R. (2019). Survey of AI in Cybersecurity for Information Technology Management. IEEE Technology & Engineering Management Conference (TEMSCON).

Chatterjee, S., & Bhattacharjee, K. K. (2020). Adoption of artificial intelligence in higher education: a quantitative analysis using structural equation modelling. Education and Information Technologies, 25(5), 3443–3463. https://doi.org/10.1007/s10639-020-10159-7

Chaturvedi, I., Cambria, E., & Welsch, R. E. (2023). Teaching Simulations Supported by Artificial Intelligence in the Real World. Education Sciences, 13(2). https://doi.org/10.3390/educsci13020187

Chen, L., Chen, P., & Lin, Z. (2020). Artificial Intelligence in Education: A Review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510

Chen, Z. (2022). Artificial Intelligence-Virtual Trainer: Innovative Didactics Aimed at Personalized Training Needs. Journal of the Knowledge Economy. https://doi.org/10.1007/s13132-022-00985-0

Chiu, T. K. F., & Chai, C. S. (2020). Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-determination Theory Perspective. Sustainability (Switzerland), 12(14), 1–18. https://doi.org/10.3390/su12145568

Cope, B., Kalantzis, M., & Searsmith, D. (2020). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1–17. https://doi.org/10.1080/00131857.2020.1728732

Cruz-Benito, J., García-Peñalvo, F. J., & Therón, R. (2018). Analyzing the software architectures supporting HCI/HMI processes through a systematic review of the literature. Telematics and Informatics, 1–15. https://doi.org/10.1016/j.tele.2018.09.006

De Bruyn, A., Viswanathan, V., Beh, Y. S., Brock, J. K. U., & von Wangenheim, F. (2020). Artificial Intelligence and Marketing: Pitfalls and Opportunities. Journal of Interactive Marketing, 51, 91–105. https://doi.org/10.1016/j.intmar.2020.04.007

Dowd, K. P., Szeklicki, R., Minetto, M. A., Murphy, M. H., Polito, A., Ghigo, E., van der Ploeg, H., Ekelund, U., Maciaszek, J., Stemplewski, R., Tomczak, M., & Donnelly, A. E. (2018). A systematic literature review of reviews on techniques for physical activity measurement in adults: A DEDIPAC study. International Journal of Behavioral Nutrition and Physical Activity, 15(1), 1–33. https://doi.org/10.1186/s12966-017-0636-2

Fahimirad, M. (2018). A Review on Application of Artificial Intelligence in Teaching and Learning in Educational Contexts. International Journal of Learning and Development, 8(4), 106–118. https://doi.org/10.5296/ijld.v8i4.14057

Guan, C., Mou, J., & Jiang, Z. (2020). Artificial intelligence innovation in education: A twenty-year data-driven historical analysis. International Journal of Innovation Studies, 4(4), 134–147. https://doi.org/10.1016/j.ijis.2020.09.001

Gupta, R., Srivastava, D., Sahu, M., Tiwari, S., Ambasta, R. K., & Kumar, P. (2021). Artificial intelligence to deep learning: machine intelligence approach for drug discovery. Molecular Diversity, 25(3), 1315–1360. https://doi.org/10.1007/s11030-021-10217-3

Haddaway, N. R., Collins, A. M., Coughlin, D., & Kirk, S. (2015). The Role of Google Scholar in Evidence Reviews and Its Applicability to Grey Literature Searching. PLoS ONE, 10(9), 1–17. https://doi.org/10.1371/journal.pone.0138237

Hinojo-Lucena, F. J., Aznar-Díaz, I., Cáceres-Reche, M. P., & Romero-Rodríguez, J. M. (2019). Artificial Intelligence in Higher Education: A Bibliometric Study on its Impact in the Scientific Literature. Education Sciences, 9(1), 1–9. https://doi.org/10.3390/educsci9010051

Holmes, W., Porayska-Pomsta, K., Holstein, K., Sutherland, E., Baker, T., Shum, S. B., Santos, O. C., Rodrigo, M. T., Cukurova, M., Bittencourt, I. I., & Koedinger, K. R. (2022). Ethics of AI in Education: Towards a Community-Wide Framework. International Journal of Artificial Intelligence in Education, 32(3), 504–526. https://doi.org/10.1007/s40593-021-00239-1

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), 27–52. https://doi.org/10.18608/jla.2019.62.3

Huang, M. H., & Rust, R. T. (2018). Artificial Intelligence in Service. Journal of Service Research, 21(2), 155–172. https://doi.org/10.1177/1094670517752459

Huang, S. P. (2018). Effects of Using Artificial Intelligence Teaching System for Environmental Education on Environmental Knowledge and Attitude. Eurasia Journal of Mathematics, Science and Technology Education, 14(7), 3277–3284. https://doi.org/10.29333/ejmste/91248

Hwang, G. J., & Tu, Y. F. (2021). Roles and Research Trends of Artificial Intelligence in Mathematics Education: A Bibliometric Mapping Analysis and Systematic Review. In Mathematics (Vol. 9, Issue 6, pp. 1–19). MDPI AG. https://doi.org/10.3390/math9060584

Ilić, M. P., Păun, D., Šević, N. P., Hadžić, A., & Jianu, A. (2021). Needs and performance analysis for changes in higher education and implementation of artificial intelligence, machine learning, and extended reality. Education Sciences, 11(10). https://doi.org/10.3390/educsci11100568

Joshi, S., Rambola, R. K., & Churi, P. (2021). Evaluating Artificial Intelligence in Education for Next Generation. Journal of Physics: Conference Series, 1714(1), 1–13. https://doi.org/10.1088/1742-6596/1714/1/012039

Kabudi, T., Pappas, I., & Olsen, D. H. (2021). AI-enabled adaptive learning systems: A systematic mapping of the literature. Computers and Education: Artificial Intelligence, 2, 1–12. https://doi.org/10.1016/j.caeai.2021.100017

Kamble, S. S., Gunasekaran, A., & Gawankar, S. A. (2018). Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives. Process Safety and Environmental Protection, 117, 408–425. https://doi.org/10.1016/j.psep.2018.05.009

Kaur, S., Singla, J., Nkenyereye, L., Jha, S., Prashar, D., Joshi, G. P., El-Sappagh, S., Islam, M. S., & Riazul Islam, S. M. (2016). Medical Diagnostic Systems Using Artificial Intelligence (AI) Algorithms: Principles and Perspectives. IEEE Access, 4, 1–23. https://doi.org/10.1109/ACCESS.2020.3042273

Kim, J., Lee, H., & Cho, Y. H. (2022). Learning design to support student-AI collaboration: perspectives of leading teachers for AI in education. Education and Information Technologies, 27(5), 6069–6104. https://doi.org/10.1007/s10639-021-10831-6

Knox, J. (2020). Artificial intelligence and education in China. Learning, Media and Technology, 45(3), 1–14. https://doi.org/10.1080/17439884.2020.1754236

Kuleto, V., Ilić, M., Dumangiu, M., Ranković, M., Martins, O. M. D., Păun, D., & Mihoreanu, L. (2021). Exploring Opportunities and Challenges of Artificial Intelligence and Machine Learning in Higher Education Institutions. Sustainability (Switzerland), 13(18), 1–16. https://doi.org/10.3390/su131810424

Lameras, P., & Arnab, S. (2022). Power to the Teachers: An Exploratory Review on Artificial Intelligence in Education. Information (Switzerland), 13(1), 1–38. https://doi.org/10.3390/info13010014

Li, J., Herdem, M. S., Nathwani, J., & Wen, J. Z. (2022). Methods and applications for Artificial Intelligence, Big Data, Internet of Things, and Blockchain in smart energy management. Energy and AI, 11, 1–18. https://doi.org/10.1016/j.egyai.2022.100208

Lin, P. H., Wooders, A., Wang, J. T. Y., & Yuan, W. M. (2018). Artificial Intelligence, the Missing Piece of Online Education? IEEE Engineering Management Review, 46(3), 25–28. https://doi.org/10.1109/EMR.2018.2868068

Luckin, R., & Cukurova, M. (2019). Designing educational technologies in the age of AI: A learning sciences-driven approach. British Journal of Educational Technology, 1–15. https://doi.org/10.1111/bjet.12861

Mahbooba, B., Timilsina, M., Sahal, R., & Serrano, M. (2021). Explainable Artificial Intelligence (XAI) to Enhance Trust Management in Intrusion Detection Systems Using Decision Tree Model. Complexity, 2021, 1–11. https://doi.org/10.1155/2021/6634811

Malik, G., Tayal, D. K., & Vij, S. (2019). An analysis of the role of artificial intelligence in education and teaching. In Advances in Intelligent Systems and Computing (Vol. 707, pp. 407–417). Springer Verlag. https://doi.org/10.1007/978-981-10-8639-7_42

Markauskaite, L., Marrone, R., Poquet, O., Knight, S., Martinez-Maldonado, R., Howard, S., Tondeur, J., De Laat, M., Buckingham Shum, S., Gašević, D., & Siemens, G. (2022). Rethinking the entwinement between artificial intelligence and human learning: What capabilities do learners need for a world with AI? Computers and Education: Artificial Intelligence, 3. https://doi.org/10.1016/j.caeai.2022.100056

Nazari, N., Shabbir, M. S., & Setiawan, R. (2021). Application of Artificial Intelligence powered digital writing assistant in higher education: randomized controlled trial. Heliyon, 7(5), 1–9. https://doi.org/10.1016/j.heliyon.2021.e07014

Nemorin, S., Vlachidis, A., Ayerakwa, H. M., & Andriotis, P. (2023). AI hyped? A horizon scan of discourse on artificial intelligence in education (AIED) and development. Learning, Media and Technology, 48(1), 38–51. https://doi.org/10.1080/17439884.2022.2095568

Ouyang, F., & Jiao, P. (2021). Artificial intelligence in education: The three paradigms. Computers and Education: Artificial Intelligence, 2, 1–6. https://doi.org/10.1016/j.caeai.2021.100020

Pati, D., & Lorusso, L. N. (2018). How to Write a Systematic Review of the Literature. Health Environments Research and Design Journal, 11(1), 1–16. https://doi.org/10.1177/1937586717747384

Paul, J., & Barari, M. (2022). Meta-analysis and traditional systematic literature reviews—What, why, when, where, and how? In Psychology and Marketing (Vol. 39, Issue 6, pp. 1099–1115). John Wiley and Sons Inc. https://doi.org/10.1002/mar.21657

Pedró, F. (2019). Artificial Intelligence in Education: Challenges and Opportunities for Sustainable Development. https://en.unesco.org/themes/education-policy-

Porayska-Pomsta, K., Alcorn, A. M., Avramides, K., Beale, S., Bernardini, S., Foster, M. E., Frauenberger, C., Good, J., Guldberg, K., Keay-Bright, W., Kossyvaki, L., Lemon, O., Mademtzi, M., Menzies, R., Pain, H., Rajendran, G., Waller, A., Wass, S., & Smith, T. J. (2018). Blending Human and Artificial Intelligence to Support Autistic Children’s Social Communication Skills. ACM Transactions on Computer-Human Interaction, 25(6), 1–35. https://doi.org/10.1145/3271484

Ramdhani, A., Ramdhani, M. A., & Amin, A. S. (2014). Writing a Literature Review Research Paper: A step-by-step approach. International Journal of Basic and Applied Science, 03(01), 47–56. www.insikapub.com

Schiff, D. (2020). Out of the laboratory and into the classroom: the future of artificial intelligence in education. AI and Society, 36(1), 331–348. https://doi.org/10.1007/s00146-020-01033-8

Seo, K., Tang, J., Roll, I., Fels, S., & Yoon, D. (2021). The impact of artificial intelligence on learner–instructor interaction in online learning. International Journal of Educational Technology in Higher Education, 18(1), 1–23. https://doi.org/10.1186/s41239-021-00292-9

Sharma, K., Giannakos, M., & Dillenbourg, P. (2020). Eye-tracking and artificial intelligence to enhance motivation and learning. Smart Learning Environments, 7(13), 1–19. https://doi.org/10.1186/s40561-020-00122-x

Singh, I., & Lee, S. W. (2021). Self-adaptive and secure mechanism for IoT based multimedia services: a survey. Multimedia Tools and Applications, 81(19), 26685–26720. https://doi.org/10.1007/s11042-020-10493-5

Sun, Z., Anbarasan, M., & Praveen Kumar, D. (2020). Design of online intelligent English teaching platform based on artificial intelligence techniques. Computational Intelligence, 37(3), 1–15. https://doi.org/10.1111/coin.12351

Toorajipour, R., Sohrabpour, V., Nazarpour, A., Oghazi, P., & Fischl, M. (2020). Artificial intelligence in supply chain management: A systematic literature review. Journal of Business Research, 122, 502–517. https://doi.org/10.1016/j.jbusres.2020.09.009

Tyson, M. M., & Sauers, N. J. (2021). School leaders’ adoption and implementation of artificial intelligence. Journal of Educational Administration, 59(3), 271–285. https://doi.org/10.1108/JEA-10-2020-0221

Ver Milyea, M., Hall, J. M. M., Diakiw, S. M., Johnston, A., Nguyen, T., Perugini, D., Miller, A., Picou, A., Murphy, A. P., & Perugini, M. (2021). Development of an artificial intelligence-based assessment model for prediction of embryo viability using static images captured by optical light microscopy during IVF. Human Reproduction, 35(4), 770–784. https://doi.org/10.1093/HUMREP/DEAA013

Verganti, R., Vendraminelli, L., & Iansiti, M. (2020). Innovation and Design in the Age of Artificial Intelligence. Journal of Product Innovation Management, 37(3), 212–227. https://doi.org/10.1111/jpim.12523

Vinuesa, R., Azizpour, H., Leite, I., Balaam, M., Dignum, V., Domisch, S., Felländer, A., Langhans, S. D., Tegmark, M., & Fuso Nerini, F. (2020). The role of artificial intelligence in achieving the Sustainable Development Goals. Nature Communications, 11(1), 1–10. https://doi.org/10.1038/s41467-019-14108-y

Vollmer, S., Mateen, B. A., Mbbs, P., Bohner, G., Franz, B. S., Király, J., Ghani, R., Jonsson, P., Cumbers, S., Jonas, A., Mcallister, K. S. L., Myles, P., Granger, D., Birse, M., Branson, R., Karel, M., Moons, G. M., Collins, G. S., Ioannidis, J. P. A., … Harry, P. (2018). Machine learning and AI research for Patient Benefit: 20 Critical Questions on Transparency, Replicability, Ethics and Effectiveness.

Wang, Q. (2017). A Bibliometric Model for Identifying Emerging Research Topics. Journal of the Association for Information Science and Technology, 69(2), 1–15. https://doi.org/10.1002/asi.23930

Ward, T. M., Mascagni, P., Ban, Y., Rosman, G., Padoy, N., Meireles, O., & Hashimoto, D. A. (2020). Computer vision in surgery. Surgery, 169(5), 1–4. https://doi.org/10.1016/j.surg.2020.10.039

Williamson, B., & Eynon, R. (2020). Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology, 45(3), 223–235. https://doi.org/10.1080/17439884.2020.1798995

Wogu, I. A. P., Misra, S., Assibong, P. A., Olu-Owolabi, E. F., Maskeliūnas, R., & Damasevicius, R. (2019). Artificial intelligence, smart classrooms and online education in the 21st century: Implications for human development. Journal of Cases on Information Technology, 21(3), 66–79. https://doi.org/10.4018/JCIT.2019070105

Yang, S. J. H., Ogata, H., Matsui, T., & Chen, N. S. (2021). Human-centered artificial intelligence in education: Seeing the invisible through the visible. Computers and Education: Artificial Intelligence, 2, 1–5. https://doi.org/10.1016/j.caeai.2021.100008

Yu, Z. (2020). Visualizing Artificial Intelligence Used in Education Over Two Decades. Journal of Information Technology Research, 13(4), 32–46. https://doi.org/10.4018/JITR.2020100103

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? In International Journal of Educational Technology in Higher Education (Vol. 16, Issue 1, pp. 1–27). Springer Netherlands. https://doi.org/10.1186/s41239-019-0171-0




DOI: https://doi.org/10.33394/jk.v9i2.7801

Refbacks

  • There are currently no refbacks.


Copyright (c) 2023 The Author(s)

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Jurnal Kependidikan : Jurnal Hasil Penelitian dan Kajian Kepustakaan di Bidang Pendidikan, Pengajaran, dan Pembelajaran

E-ISSN: 2442-7667

Published by LPPM Universitas Pendidikan Mandalika

Email: [email protected] 

Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.