Impact of Digital Literacy, Use of AI tools and Peer Collaboration on AI Assisted Learning- Perceptions of the University students

Authors

DOI:

https://doi.org/10.1344/der.2024.45.43-49

Keywords:

AI tools, Digital Literacy, Peer Assisted Collaborative Learning, Computer- Assisted Learning, AI assisted Learning, personalistic learning

Abstract

The technology-supported education systems seamlessly integrated throughout the globe in response to the challenges posed by the Covid-19 pandemic. The swift developments of the digital tools with Artificial Intelligence (AI) support are also readily diffused among the educational communities. This research paper investigates the synergistic impact of digital literacy, the incorporation of AI tools, and Peer Supported Collaborative Learning (PSCL) on the learning perceptions of university students. The research aims to discern the implications of these technological and social facets on students' attitudes towards AI assisted learning process. Structured questionnaire-based survey among the University students were done for this descriptive research. 409 responses collected were analysed with SPSS, Excel and Process Macro. It is found that the students’ Digital Literacy, Use of AI tools and PSCL on AI assisted learning were positively correlated. The partial mediatory path through the PSCL and AI tool usage has a significant positive influence on students learning process. The insights gathered from this study can inform educators, policymakers, and institutions on optimizing the amalgamation of digital literacy, AI tools and PSCL to enhance the contemporary learning environment. As universities navigate the digital age, this research provides a nuanced understanding of the dynamics shaping students' perceptions, offering valuable insights into the multifaceted aspects of AI influencing the educational landscape

Author Biography

Genimon Vadakkemulanjanal Joseph, Vimal Jyothi Institute of Management and Research

Dr Fr Genimon Vadakkemulanjanal Joseph

His academic research was on the ‘Technology Adoption of the Educators’ from CHRIST (Deemed to be University) Bangalore (2021) and his MBA graduation was with a dual specialization in Finance and marketing from Rajagiri School of Management under MG University, Kottayam (2008). He is a post-graduate diploma holder in Human Resource Management and possesses a UGC NET qualification in Management (2008). He was working as the Administrator and Associate Professor in this institute during 2010-2019. He was also served at the Vimal Jyothi Engineering College as the Administrator in HR Department 2008-2019 and has more than 3 years of teaching experience in Vimal Jyothi Engineering College, Chemperi under the Applied Science and Humanities Department. He is having 4 years of administrative experience in parishes of the Archdiocese of Thalassery.
His areas of academic interest are HRM, HRPD, HRD, Insurance & risk management, Business ethics, RM and effectively involved in organization building, recruiting and staffing functions, strategy formulation, advertisement and branding of the institutions, ERP solutions and technology implementation. His research areas are technology adoption, digital learning environments, teacher engagement.
ORCiD: https://orcid.org/0000-0001-6115-1097
Scopus author ID: 57216181978
Web of Science ID: AEY-1065-2022

References

Adiguzel, T., Kaya, M. H., & Cansu, F. K. (2023). Revolutionizing education with AI: Exploring the transformative potential of ChatGPT. Contemporary Educational Technology, 15(3), ep429. https://doi.org/10.30935/cedtech/13152

Agarwal, P., Swami, S., & Malhotra, S. K. (2022). Artificial intelligence adoption in the post COVID-19 new-normal and role of smart technologies in transforming business: a review. Journal of Science and Technology Policy Management.

Aggarwal, D. (2023). Integration of innovative technological developments and AI with education for an adaptive learning pedagogy. China Petroleum Processing and Petrochemical Technology, 23(2).

Ansari, J. A. N., & Khan, N. A. (2020). Exploring the role of social media in collaborative learning the new domain of learning. Smart Learning Environments, 7(1), 1-16.

Chen, X., Zou, D., Xie, H. R., & Su, F. (2021). Twenty-five years of computer-assisted language learning: A topic modeling analysis.

Cope, B., Kalantzis, M., & Searsmith, D. (2021). Artificial intelligence for education: Knowledge and its assessment in AI-enabled learning ecologies. Educational Philosophy and Theory, 53(12), 1229-1245. https://doi.org/10.1080/00131857.2020.1728732

Ervianti, E., Sampelolo, R., & Pratama, M. P. (2023). The Influence of Digital Literacy on Student Learning. Klasikal: Journal of Education, Language Teaching and Science, 5(2), 358-365. DOI: https://doi.org/10.52208/klasikal.v5i2.878

Fitria, T. N. (2021, December). Artificial Intelligence (AI) In Education: Using AI Tools for Teaching and Learning Process. In Prosiding Seminar Nasional & Call for Paper STIE AAS (Vol. 4, No. 1, pp. 134-147).

Grindal, M., Admire, A., Carkin, D. M., & Nieri, T. (2023). Gender and substance use among Latinx college students: An application of social structure social learning theory. Journal of ethnicity in substance abuse, 1-25.

Guppy, N., Verpoorten, D., Boud, D., Lin, L., Tai, J., & Bartolic, S. (2022). The post‐COVID‐19 future of digital learning in higher education: Views from educators, students, and other professionals in six countries. British Journal of Educational Technology, 53(6), 1750-1765.

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2014). Multivariate data analysis: Pearson new international edition. Essex: Pearson Education Limited, 1(2).

Hayden, C. L., Carrico, C., Ginn, C. C., Felber, A., & Smith, S. (2021). Social Constructivism in Learning: Peer Teaching & Learning.

Järvelä, S., Hadwin, A., Malmberg, J., & Miller, M. (2018). Contemporary perspectives of regulated learning in collaboration. International handbook of the learning sciences, 127-136.

Jisc (2019), “Building digital capabilities: the six elements defined”, available at: http://repository.jisc.ac.uk/6611/1/JFL0066F_DIGIGAP_MOD_IND_FRAME.PDF

Joseph, G. V., & Thomas, K. A. (2020a). Volatility of digital technology enabled learning through social media: educators’ apprehensions. TEST Engineering Management, 82, 5832-9.

Joseph, G. V., & Thomas, K. A. (2020b). Moderating effect of social media usage on technology barriers to technology adoption by teachers. International Journal of Advanced Science and Technology, 29(03), 5504-5512.

Joseph, G. V., & Thomas, K. A. (2021). Integration of technology initiatives with educational neuroscience and its impact on technology readiness to technology adoption by HSS Teachers, Kerala. Neuro-Systemic Applications in Learning, 423-444. https://doi.org/10.1007/978-3-030-72400-9_21

Joseph, G. V., & Thomas, M. A. (2022, August). The Mediation Effect of Technology Anxiety and Barriers on Technology Exposure to Teachers’ Technology Adoption. In 2022 Third International Conference on Intelligent Computing Instrumentation and Control Technologies (ICICICT) (pp. 1737-1741). IEEE. https://doi.org/10.1109/ICICICT54557.2022.9918006

Joseph, G. V., Varghese, S., Thomas, M. A., Athira, P., Joseph, J., John, T., & Prasad, M. (2023, December). Enhancing Industry 5.0 Resilience among Management Professionals through Technical Competency and Organizational leadership. In 2023 IEEE Technology & Engineering Management Conference-Asia Pacific (TEMSCON-ASPAC) (pp. 1-8). IEEE. https://doi.org/10.1109/TEMSCON-ASPAC59527.2023.10531436

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, 100017. https://doi.org/10.1016/j.caeai.2021.100017

Kim, B. (2001). Social constructivism. Emerging perspectives on learning, teaching, and technology, 1(1), 16.

Kimbrough, E. O., McGee, A. D., & Shigeoka, H. (2022). How do peers impact learning? An experimental investigation of peer-to-peer teaching and ability tracking. Journal of Human Resources, 57(1), 304-339.

Lai, C. L. (2021). Exploring University Students’ Preferences for AI-Assisted Learning Environment. Educational Technology & Society, 24(4), 1-15. https://www.jstor.org/stable/48629241

Lingga, R A., Andriani, D. N., & Wirawan, Y. R. (2022, July). Pengaruh Literasi Digital Terhadap Hasil Belajar Mahasiswa Gen-Z Di Masa Pandemi Covid-19. In Seminar Nasional Sosial, Sains, Pendidikan, Humaniora (Senassdra) (Vol. 1, No. 1, pp. 87-96). http://prosiding.unipma.ac.id/index.php/SENASSDRA/article/view/2310

Manubey, J., Koroh, T. D., Dethan, Y. D., & Banamtuan, M. F. (2022). Pengaruh Literasi Digital terhadap Hasil Belajar Mahasiswa. Edukatif: Jurnal Ilmu Pendidikan, 4(3), 4288-4294. https://doi.org/10.31004/edukatif.v4i3.2590

McGarr, O., McCormack, O., & Comerford, J. (2019). Peer-supported collaborative inquiry in teacher education: exploring the influence of peer discussions on pre-service teachers’ levels of critical reflection. Irish Educational Studies, 38(2), 245-261.

Millis, B. (Ed.). (2023). Cooperative learning in higher education: Across the disciplines, across the academy. Taylor & Francis.

Ogata, H., Flanagan, B., Takami, K., Dai, Y., Nakamoto, R., & Takii, K. (2024). EXAIT: Educational eXplainable artificial intelligent tools for personalized learning. Research and Practice in Technology Enhanced Learning, 19. https://doi.org/10.58459/rptel.2024.19019

Öncül, G. (2021). Defining the need: digital literacy skills for first-year university students. Journal of Applied Research in Higher Education, 13(4), 925-943. https://doi.org/10.1108/JARHE-06-2020-0179

Onesi-Ozigagun, O., Ololade, Y. J., Eyo-Udo, N. L., & Ogundipe, D. O. (2024). Revolutionizing education through AI: a comprehensive review of enhancing learning experiences. International Journal of Applied Research in Social Sciences, 6(4), 589-607. https://doi.org/10.51594/ijarss.v6i4.1011

Pangrazio, L., Godhe, A. L., & Ledesma, A. G. L. (2020). What is digital literacy? A comparative review of publications across three language contexts. E-learning and Digital Media, 17(6), 442-459. https://doi.org/10.1177/2042753020946291

Qureshi, M. A., Khaskheli, A., Qureshi, J. A., Raza, S. A., & Yousufi, S. Q. (2023). Factors affecting students’ learning performance through collaborative learning and engagement. Interactive Learning Environments, 31(4), 2371-2391. https://doi.org/10.1111/bjet.12917

Ramadevi, J., Sushama, C., Balaji, K., Talasila, V., & Sindhwani, N. (2023). AI enabled value-oriented collaborative learning: Centre for innovative education. The Journal of High Technology Management Research, 34(2), 100478. https://doi.org/10.1016/j.hitech.2023.100478

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.

Ravinder Kumar, R. (2017). The effect of collaborative learning on enhancing student achievement: A meta-analysis. [Doctoral dissertation]. Concordia University. https://spectrum.library.concordia.ca/982327/.

Ruiz-Rojas, L. I., Acosta-Vargas, P., De-Moreta-Llovet, J., & Gonzalez-Rodriguez, M. (2023). Empowering education with generative artificial intelligence tools: Approach with an instructional design matrix. Sustainability, 15(15), 11524. https://doi.org/10.3390/su151511524

Saputra, M., & Al Siddiq, I. H. (2020). Social media and digital citizenship: The urgency of digital literacy in the middle of a disrupted society Era. International Journal of Emerging Technologies in Learning (Online), 15(7), 156.

Schunk, D. H., & Greene, J. A. (2017). Historical, contemporary, and future perspectives on self-regulated

Su, Y. (2023). Delving into EFL teachers’ digital literacy and professional identity in the pandemic era: Technological Pedagogical Content Knowledge (TPACK) framework. Heliyon. https://doi.org/10.1016/j.heliyon.2023.e16361

Tzirides, A. O. O., Zapata, G., Kastania, N. P., Saini, A. K., Castro, V., Ismael, S. A. R., ... & Kalantzis, M. (2024). Combining Human and Artificial Intelligence for Enhanced AI Literacy in Higher Education. Computers and Education Open, 100184. https://doi.org/10.1016/j.caeo.2024.100184

Vargas-Murillo, A. R., de la Asuncion, I. N. M., & de Jesús Guevara-Soto, F. (2023). Challenges and Opportunities of AI-Assisted Learning: A Systematic Literature Review on the Impact of ChatGPT Usage in Higher Education. International Journal of Learning, Teaching and Educational Research, 22(7), 122-135.

Wang, X., Liu, Q., Pang, H., Tan, S. C., Lei, J., Wallace, M. P., & Li, L. (2023). What matters in AI-supported learning: A study of human-AI interactions in language learning using cluster analysis and epistemic network analysis. Computers & Education, 194, 104703. https://doi.org/10.1016/j.compedu.2022.104703

Yazon, A. D., Ang-Manaig, K., Buama, C. A. C., & Tesoro, J. F. B. (2019). Digital literacy, digital competence and research productivity of educators. Universal Journal of Educational Research, 7(8), 1734-1743. https://doi.org/10.13189/ujer.2019.070812.

Zancajo, A., Verger, A., & Bolea, P. (2022). Digitalization and beyond: the effects of Covid-19 on post-pandemic educational policy and delivery in Europe. Policy and Society, 41(1), 111-128.

Zhai, X., Chu, X., Chai, C. S., Jong, M. S. Y., Istenic, A., Spector, M., ... & Li, Y. (2021). A Review of Artificial Intelligence (AI) in Education from 2010 to 2020. Complexity, 2021, 1-18. https://doi.org/10.1155/2021/8812542

Zhang, J., & Zhang, Z. (2024). AI in teacher education: Unlocking new dimensions in teaching support, inclusive learning, and digital literacy. Journal of Computer Assisted Learning. https://doi.org/10.1111/jcal.12988

Zhu, S., Yu, T., Xu, T., Chen, H., Dustdar, S., Gigan, S., ... & Pan, Y. (2023). Intelligent computing: the latest advances, challenges, and future. Intelligent Computing, 2, 0006.

Zimmerman, B. J., & Schunk, D. H. (2011). Handbook of self-regulation of learning and performance. Routledge/Taylor & Francis Group.(2nd ed., pp. 1–15). https://doi.org/10.4324/9781315697048

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Published

2024-07-01