Conceptualizing the Dimensions of Digital Leadership towards Academicians’ Competencies in AI: A Systematic Literature Review for Instrument Design
Abstract
This study investigates digital leadership's role in improving academics' AI skills and the crucial shift in teaching and learning techniques brought by digital and AI advancements. A learner-centric approach customizes, engages, and includes learning using digital and AI. It demands a change from traditional education and stresses digital leadership and AI capabilities for academicians. The study conducts a thorough literature review to identify key digital leadership attributes, including the ability to innovate, strategically use digital tools, and give equal access to educational technology. It also describes the AI capabilities academics require to personalize instruction, streamline administration, and boost student performance. Results show academicians require specific professional development to learn digital leadership and AI. These apps help teachers use AI to meet digital needs. Digital leadership is dynamic and involves technical, strategic, ethical, and collaborative abilities to transform education, according to the paper. Cooperation and research are essential to understanding digital leadership and creating effective assessment and training methods as the digital world changes. The initiative will assist academics navigate modern educational situations and promote digital integration and innovation. As implications, this study reveals how digital leadership and AI capabilities are altering education. This research emphasizes the role of digital leadership and AI in enhancing teaching and learning in the digital era, adding to the discourse about preparing academicians for the future.
References
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Cantú-Ortiz, F. J., Galeano Sánchez, N., Garrido, L., Terashima-Marin, H., & Brena, R. F. (2020). An artificial intelligence educational strategy for the digital transformation. International Journal on Interactive Design and Manufacturing (IJIDeM), 14, 1195-1209.
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Chirumalla, K. (2021). Building digitally-enabled process innovation in the process industries: A dynamic capabilities approach. Technovation, 105, 102256.
Christensen, C. M., McDonald, R., Altman, E. J., & Palmer, J. E. (2018). Disruptive innovation: An intellectual history and directions for future research. Journal of management studies, 55(7), 1043-1078.
Cortellazzo, L., Bruni, E., & Zampieri, R. (2019). The role of leadership in a digitalized world: A review. Frontiers in psychology, 10, 456340.
Cukurova, M., Kralj, L., Hertz, B., & Saltidou, E. (2024). Professional Development for Teachers in the Age of AI.
Delgado, H. O. K., de Azevedo Fay, A., Sebastiany, M. J., & Silva, A. D. C. (2020). Artificial intelligence adaptive learning tools: The teaching of English in focus. BELT-Brazilian English Language Teaching Journal, 11(2), e38749-e38749.
Esmaeilzadeh, P. (2024). Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations. Artificial Intelligence in Medicine, 102861.
Fang, Y., Roscoe, R. D., & McNamara, D. S. (2023). Artificial intelligence-based assessment in education. In Handbook of artificial intelligence in education (pp. 485-504). Edward Elgar Publishing.
Floridi, L., Cowls, J., King, T. C., & Taddeo, M. (2021). How to design AI for social good: Seven essential factors. Ethics, Governance, and Policies in Artificial Intelligence, 125-151.
George, A. S., George, A. H., & Martin, A. G. (2023). ChatGPT and the future of work: a comprehensive analysis of AI'S impact on jobs and employment. Partners Universal International Innovation Journal, 1(3), 154-186.
Gilli, K., Nippa, M., & Knappstein, M. (2023). Leadership competencies for digital transformation: An exploratory content analysis of job advertisements. German Journal of Human Resource Management, 37(1), 50-75.
Hai, T. N., Van, Q. N., & Thi Tuyet, M. N. (2021). Digital transformation: Opportunities and challenges for leaders in the emerging countries in response to COVID-19 pandemic. Emerging Science Journal, 5(1), 21-36.
Hilbert, M. (2016). Big data for development: A review of promises and challenges. Development Policy Review, 34(1), 135-174.
Komasawa, N., & Yokohira, M. (2023). Learner-centered experience-based medical education in an AI-driven society: a literature review. Cureus, 15(10).
Lawless, K. A., & Pellegrino, J. W. (2007). Professional development in integrating technology into teaching and learning: Knowns, unknowns, and ways to pursue better questions and answers. Review of educational research, 77(4), 575-614.
Lee, C., Han, J. G., & Shin, S. S. H. (2023). Competency Modeling and Training Needs Assessment for Staff Development in Higher Education. In Higher Education-Reflections From the Field-Volume 4. IntechOpen.
Li, W., Liu, K., Belitski, M., Ghobadian, A., & O'Regan, N. (2016). e-Leadership through strategic alignment: An empirical study of small-and medium-sized enterprises in the digital age. Journal of Information Technology, 31, 185-206.
Love, A. S., Labay-Marquez, J., & Valadez, R. (2023). Understanding Adult Learners' Needs and Integrating Technology for Effective Online Education: Adult-Centered Approaches for Teaching and Learning. In Handbook of Research on Innovative Frameworks and Inclusive Models for Online Learning (pp. 172-193). IGI Global.
Makri, A., Vlachopoulos, D., & Martina, R. A. (2021). Digital escape rooms as innovative pedagogical tools in education: A systematic literature review. Sustainability, 13(8), 4587.
Munsamy, M., Dhanpat, N., & Barkhuizen, E. N. (2023). The development and validation of a digital leadership competency scale. Acta Commercii-Independent Research Journal in the Management Sciences, 23(1), 1057.
Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Educational technology research and development, 71(1), 137-161.
Núñez-Canal, M., de Obesso, M. D. L. M., & Pérez-Rivero, C. A. (2022). New challenges in higher education: A study of the digital competence of educators in Covid times. Technological Forecasting and Social Change, 174, 121270.
Oyelana, O. O., Olson, J., & Caine, V. (2022). An evolutionary concept analysis of learner-centered teaching. Nurse education today, 108, 105187.
Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development.
Persaud, A. (2021). Key competencies for big data analytics professions: A multimethod study. Information Technology & People, 34(1), 178-203.
Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135-153.
Psyché, V., Tremblay, D. G., Miladi, F., & Yagoubi, A. (2023). A competency framework for training of AI projects managers in the digital and AI Era. Open Journal of Social Sciences, 11(5), 537-560.
Quaquebeke, N. V., & Gerpott, F. H. (2023). The now, new, and next of digital leadership: How Artificial Intelligence (AI) will take over and change leadership as we know it. Journal of Leadership & Organizational Studies, 30(3), 265-275.
Qureshi, M. I., Khan, N., Raza, H., Imran, A., & Ismail, F. (2021). Digital technologies in education 4.0. Does it enhance the effectiveness of learning?
Ramírez-Montoya, M. S., Loaiza-Aguirre, M. I., Zúñiga-Ojeda, A., & Portuguez-Castro, M. (2021). Characterization of the Teaching Profile within the Framework of Education 4.0. Future Internet, 13(4), 91.
Rane, N., Choudhary, S., & Rane, J. (2023). Education 4.0 and 5.0: Integrating Artificial Intelligence (AI) for personalized and adaptive learning. Available at SSRN 4638365.
Reigeluth, C. M. (2016). Designing technology for the learner-centered paradigm of education. In Instructional-Design Theories and Models, Volume IV (pp. 287-316). Routledge.
Rodríguez-Abitia, G., & Bribiesca-Correa, G. (2021). Assessing digital transformation in universities. Future Internet, 13(2), 52.
Schiuma, G., Schettini, E., Santarsiero, F., & Carlucci, D. (2022). The transformative leadership compass: six competencies for digital transformation entrepreneurship. International Journal of Entrepreneurial Behavior & Research, 28(5), 1273-1291.
Shiohira, K. (2021). Understanding the Impact of Artificial Intelligence on Skills Development. Education 2030. UNESCO-UNEVOC International Centre for Technical and Vocational Education and Training.
Shneiderman, B. (2020). Bridging the gap between ethics and practice: guidelines for reliable, safe, and trustworthy human-centered AI systems. ACM Transactions on Interactive Intelligent Systems (TiiS), 10(4), 1-31.
Tippins, N. T., Oswald, F. L., & McPhail, S. M. (2021). Scientific, legal, and ethical concerns about AI-based personnel selection tools: a call to action. Personnel Assessment and Decisions, 7(2), 1.
Wenner, J. A., & Campbell, T. (2017). The theoretical and empirical basis of teacher leadership: A review of the literature. Review of educational research, 87(1), 134-171.
Woods, S. A., Ahmed, S., Nikolaou, I., Costa, A. C., & Anderson, N. R. (2020). Personnel selection in the digital age: A review of validity and applicant reactions, and future research challenges. European Journal of Work and Organizational Psychology, 29(1), 64-77.
Zhao, E., He, J., Jin, Z., & Wang, Y. (2022). Student-Centered Learning Environment Based on Multimedia Big Data Analysis. Mobile Information Systems, 2022.
Zhou, X., Chen, L. H., & Chen, C. L. (2019). Collaborative learning by teaching: A pedagogy between learner-centered and learner-driven. Sustainability, 11(4), 1174.
Abulibdeh, A., Zaidan, E., & Abulibdeh, R. (2024). Navigating the confluence of artificial intelligence and education for sustainable development in the era of industry 4.0: Challenges, opportunities, and ethical dimensions. Journal of Cleaner Production, 140527.
Alam, A. (2021, December). 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.
Aldoseri, A., Al-Khalifa, K. N., & Hamouda, A. M. (2023). Re-thinking data strategy and integration for artificial intelligence: concepts, opportunities, and challenges. Applied Sciences, 13(12), 7082.
Ally, M. (2019). Competency profile of the digital and online teacher in future education. International Review of Research in Open and Distributed Learning, 20(2).
AlNuaimi, B. K., Singh, S. K., Ren, S., Budhwar, P., & Vorobyev, D. (2022). Mastering digital transformation: The nexus between leadership, agility, and digital strategy. Journal of Business Research, 145, 636-648.
Arham, A. F., Norizan, N. S., Arham, A. F., Hasbullah, N. N., Malan, I. N. B., & Alwi, S. (2022, March). Digital leadership in education: A meta-analysis review. In International Conference on Business and Technology (pp. 849-857). Cham: Springer International Publishing.
Bilginoğlu, E., & Yozgat, U. (2023). The Validity and Reliability of the Measure for Digital Leadership: Turkish Form. In Multidimensional and Strategic Outlook in Digital Business Transformation: Human Resource and Management Recommendations for Performance Improvement (pp. 53-67). Cham: Springer International Publishing.
Büyükbeese, T., DİKBAŞ, T., Klein, M., & ÜNLÜ, S. B. (2022). A study on digital leadership scale (DLS) development. Kahramanmaraş Sütçü İmam Üniversitesi Sosyal Bilimler Dergisi, 19(2), 740-760.
Cantú-Ortiz, F. J., Galeano Sánchez, N., Garrido, L., Terashima-Marin, H., & Brena, R. F. (2020). An artificial intelligence educational strategy for the digital transformation. International Journal on Interactive Design and Manufacturing (IJIDeM), 14, 1195-1209.
Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. Ieee Access, 8, 75264-75278.
Chirumalla, K. (2021). Building digitally-enabled process innovation in the process industries: A dynamic capabilities approach. Technovation, 105, 102256.
Christensen, C. M., McDonald, R., Altman, E. J., & Palmer, J. E. (2018). Disruptive innovation: An intellectual history and directions for future research. Journal of management studies, 55(7), 1043-1078.
Cortellazzo, L., Bruni, E., & Zampieri, R. (2019). The role of leadership in a digitalized world: A review. Frontiers in psychology, 10, 456340.
Cukurova, M., Kralj, L., Hertz, B., & Saltidou, E. (2024). Professional Development for Teachers in the Age of AI.
Delgado, H. O. K., de Azevedo Fay, A., Sebastiany, M. J., & Silva, A. D. C. (2020). Artificial intelligence adaptive learning tools: The teaching of English in focus. BELT-Brazilian English Language Teaching Journal, 11(2), e38749-e38749.
Esmaeilzadeh, P. (2024). Challenges and strategies for wide-scale artificial intelligence (AI) deployment in healthcare practices: A perspective for healthcare organizations. Artificial Intelligence in Medicine, 102861.
Fang, Y., Roscoe, R. D., & McNamara, D. S. (2023). Artificial intelligence-based assessment in education. In Handbook of artificial intelligence in education (pp. 485-504). Edward Elgar Publishing.
Floridi, L., Cowls, J., King, T. C., & Taddeo, M. (2021). How to design AI for social good: Seven essential factors. Ethics, Governance, and Policies in Artificial Intelligence, 125-151.
George, A. S., George, A. H., & Martin, A. G. (2023). ChatGPT and the future of work: a comprehensive analysis of AI'S impact on jobs and employment. Partners Universal International Innovation Journal, 1(3), 154-186.
Gilli, K., Nippa, M., & Knappstein, M. (2023). Leadership competencies for digital transformation: An exploratory content analysis of job advertisements. German Journal of Human Resource Management, 37(1), 50-75.
Hai, T. N., Van, Q. N., & Thi Tuyet, M. N. (2021). Digital transformation: Opportunities and challenges for leaders in the emerging countries in response to COVID-19 pandemic. Emerging Science Journal, 5(1), 21-36.
Hilbert, M. (2016). Big data for development: A review of promises and challenges. Development Policy Review, 34(1), 135-174.
Komasawa, N., & Yokohira, M. (2023). Learner-centered experience-based medical education in an AI-driven society: a literature review. Cureus, 15(10).
Lawless, K. A., & Pellegrino, J. W. (2007). Professional development in integrating technology into teaching and learning: Knowns, unknowns, and ways to pursue better questions and answers. Review of educational research, 77(4), 575-614.
Lee, C., Han, J. G., & Shin, S. S. H. (2023). Competency Modeling and Training Needs Assessment for Staff Development in Higher Education. In Higher Education-Reflections From the Field-Volume 4. IntechOpen.
Li, W., Liu, K., Belitski, M., Ghobadian, A., & O'Regan, N. (2016). e-Leadership through strategic alignment: An empirical study of small-and medium-sized enterprises in the digital age. Journal of Information Technology, 31, 185-206.
Love, A. S., Labay-Marquez, J., & Valadez, R. (2023). Understanding Adult Learners' Needs and Integrating Technology for Effective Online Education: Adult-Centered Approaches for Teaching and Learning. In Handbook of Research on Innovative Frameworks and Inclusive Models for Online Learning (pp. 172-193). IGI Global.
Makri, A., Vlachopoulos, D., & Martina, R. A. (2021). Digital escape rooms as innovative pedagogical tools in education: A systematic literature review. Sustainability, 13(8), 4587.
Munsamy, M., Dhanpat, N., & Barkhuizen, E. N. (2023). The development and validation of a digital leadership competency scale. Acta Commercii-Independent Research Journal in the Management Sciences, 23(1), 1057.
Ng, D. T. K., Leung, J. K. L., Su, J., Ng, R. C. W., & Chu, S. K. W. (2023). Teachers’ AI digital competencies and twenty-first century skills in the post-pandemic world. Educational technology research and development, 71(1), 137-161.
Núñez-Canal, M., de Obesso, M. D. L. M., & Pérez-Rivero, C. A. (2022). New challenges in higher education: A study of the digital competence of educators in Covid times. Technological Forecasting and Social Change, 174, 121270.
Oyelana, O. O., Olson, J., & Caine, V. (2022). An evolutionary concept analysis of learner-centered teaching. Nurse education today, 108, 105187.
Pedro, F., Subosa, M., Rivas, A., & Valverde, P. (2019). Artificial intelligence in education: Challenges and opportunities for sustainable development.
Persaud, A. (2021). Key competencies for big data analytics professions: A multimethod study. Information Technology & People, 34(1), 178-203.
Pokrivcakova, S. (2019). Preparing teachers for the application of AI-powered technologies in foreign language education. Journal of Language and Cultural Education, 7(3), 135-153.
Psyché, V., Tremblay, D. G., Miladi, F., & Yagoubi, A. (2023). A competency framework for training of AI projects managers in the digital and AI Era. Open Journal of Social Sciences, 11(5), 537-560.
Quaquebeke, N. V., & Gerpott, F. H. (2023). The now, new, and next of digital leadership: How Artificial Intelligence (AI) will take over and change leadership as we know it. Journal of Leadership & Organizational Studies, 30(3), 265-275.
Qureshi, M. I., Khan, N., Raza, H., Imran, A., & Ismail, F. (2021). Digital technologies in education 4.0. Does it enhance the effectiveness of learning?
Ramírez-Montoya, M. S., Loaiza-Aguirre, M. I., Zúñiga-Ojeda, A., & Portuguez-Castro, M. (2021). Characterization of the Teaching Profile within the Framework of Education 4.0. Future Internet, 13(4), 91.
Rane, N., Choudhary, S., & Rane, J. (2023). Education 4.0 and 5.0: Integrating Artificial Intelligence (AI) for personalized and adaptive learning. Available at SSRN 4638365.
Reigeluth, C. M. (2016). Designing technology for the learner-centered paradigm of education. In Instructional-Design Theories and Models, Volume IV (pp. 287-316). Routledge.
Rodríguez-Abitia, G., & Bribiesca-Correa, G. (2021). Assessing digital transformation in universities. Future Internet, 13(2), 52.
Schiuma, G., Schettini, E., Santarsiero, F., & Carlucci, D. (2022). The transformative leadership compass: six competencies for digital transformation entrepreneurship. International Journal of Entrepreneurial Behavior & Research, 28(5), 1273-1291.
Shiohira, K. (2021). Understanding the Impact of Artificial Intelligence on Skills Development. Education 2030. UNESCO-UNEVOC International Centre for Technical and Vocational Education and Training.
Shneiderman, B. (2020). Bridging the gap between ethics and practice: guidelines for reliable, safe, and trustworthy human-centered AI systems. ACM Transactions on Interactive Intelligent Systems (TiiS), 10(4), 1-31.
Tippins, N. T., Oswald, F. L., & McPhail, S. M. (2021). Scientific, legal, and ethical concerns about AI-based personnel selection tools: a call to action. Personnel Assessment and Decisions, 7(2), 1.
Wenner, J. A., & Campbell, T. (2017). The theoretical and empirical basis of teacher leadership: A review of the literature. Review of educational research, 87(1), 134-171.
Woods, S. A., Ahmed, S., Nikolaou, I., Costa, A. C., & Anderson, N. R. (2020). Personnel selection in the digital age: A review of validity and applicant reactions, and future research challenges. European Journal of Work and Organizational Psychology, 29(1), 64-77.
Zhao, E., He, J., Jin, Z., & Wang, Y. (2022). Student-Centered Learning Environment Based on Multimedia Big Data Analysis. Mobile Information Systems, 2022.
Zhou, X., Chen, L. H., & Chen, C. L. (2019). Collaborative learning by teaching: A pedagogy between learner-centered and learner-driven. Sustainability, 11(4), 1174.
Published
2024-06-01
How to Cite
GUANGTIAN, Zhang et al.
Conceptualizing the Dimensions of Digital Leadership towards Academicians’ Competencies in AI: A Systematic Literature Review for Instrument Design.
Asian Journal of Research in Education and Social Sciences, [S.l.], v. 6, n. 2, p. 116-132, june 2024.
Available at: <https://myjms.mohe.gov.my/index.php/ajress/article/view/26856>. Date accessed: 27 mar. 2025.
Section
English Section
