Leila Ali, Clorinda Sorrentino, Lucia Martiniello


This is a narrative review about personalized learning and how digital learning impacts students and teachers’ roles and lifelong learning. AI is changing learning designs, providing learner-centred approaches, and less burden for educators. Yet, digital managerial and ethical challenges related to artificial consciousness and machine autonomy are also rising.  Urgent research and ethical considerations will guide the use of these powerful tools.



digital learning, artificial intelligence, personalized learning, neuroscience of learning, learning design apprendimento digitale, intelligenza artificiale, apprendimento personalizzato, neuroscienze dell'apprendimento, progettazione dell'apprendimento.

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Bećirović, S., Brdarević-Čeljo, A., & Delić, H. (2021). The use of digital technology in foreign language learning. SN Social Sciences, 1(10), 246.

Bishop, J. M. (2021). Artificial Intelligence Is Stupid and Causal Reasoning Will Not Fix It. Frontiers in Psychology, 11.

Chai, W. J., Abd Hamid, A. I., & Abdullah, J. M. (2018). Working Memory From the Psychological and Neurosciences Perspectives: A Review. Frontiers in Psychology, 9.

Clark, R. E., & Martin, S. J. (Eds.). (2018). Behavioral neuroscience of learning and memory. Springer.

Courtemanche, F., Najjar, M., & Mayers, A. (2008). Cognitive Load Estimation for Optimizing Learning within Intelligent Tutoring Systems. 719–721.

Dockterman, D. (2018). Insights from 200+ years of personalized learning. Npj Science of Learning, 3(1), Article 1.

Fellman, D., Lincke, A., Berge, E., & Jonsson, B. (2020). Predicting Visuospatial and Verbal Working Memory by Individual Differences in E-Learning Activities. Frontiers in Education, 5.

Gamino, J. F., Frost, C., Riddle, R., Koslovsky, J., & Chapman, S. B. (2022). Higher-Order Executive Function in Middle School: Training Teachers to Enhance Cognition in Young Adolescents. Frontiers in Psychology, 13.

Ghandour, K., & Inokuchi, K. (2022). Memory reactivations during sleep. Neuroscience Research.

Gunzenhauser, C., & Nückles, M. (2021). Training Executive Functions to Improve Academic Achievement: Tackling Avenues to Far Transfer. Frontiers in Psychology, 12.

Hamati-Ataya, I. (2014). Transcending objectivism, subjectivism, and the knowledge in-between: The subject in/of ‘strong reflexivity.’ Review of International Studies, 40(1), 153–175.

Hong, J.-C., Liu, Y., Liu, Y., & Zhao, L. (2021). High School Students’ Online Learning Ineffectiveness in Experimental Courses During the COVID-19 Pandemic. Frontiers in Psychology, 12.

Hubackova, S. (2015). History and Perspectives of Elearning. Procedia - Social and Behavioral Sciences, 191, 1187–1190.

Mary, D., Marian, K. (2006). Improving Classroom Dynamics to Support Students’ Learning and Social Inclusion. Support for learning. 21(1). 5-11.'_Learning_and_Social_Inclusion

Isman, A., a, A., & Altinay, F. (2004). Roles of the Students and Teachers in Distance Education. The Turkish Online Journal of Distance Education, 5.

Ji, H., Han, I., & Ko, Y. (2023). A systematic review of conversational AI in language education: Focusing on the collaboration with human teachers. Journal of Research on Technology in Education, 55(1), 48–63.

Josselyn, S. A., & Tonegawa, S. (2020). Memory engrams: Recalling the past and imagining the future. Science (New York, N.Y.), 367(6473), eaaw4325.

Jouf University, & Humayun, M. (2020). Blockchain-Based secure framework for e-learning during COVID-19. Indian Journal of Science and Technology, 13(12), 1328–1341.

Karpicke, J., & Blunt, J. (2011). Retrieval Practice Produces More Learning than Elaborative Studying with Concept Mapping. Science (New York, N.Y.), 331, 772–775.

Kennerley, S. W., & Walton, M. E. (2011). Decision Making and Reward in Frontal Cortex. Behavioral Neuroscience, 125(3), 297–317.

Khakim, Z., & Kusrohmaniah, S. (2022). Emotional Distraction in E-learning Environment: Effect on Declarative Memory and Exploration of Physiological Marker. Jurnal Psikologi, 49, 255.

Knowlton, B., & Moody, T. (2008). Procedural Learning in Humans. Learning and Memory: A Comprehensive Reference, 321–340.

Lockey, A., Conaghan, P., Bland, A., & Astin, F. (2020). Educational theory and its application to advanced life support courses: A narrative review. Resuscitation Plus, 5, 100053.

Miry, O., Li, J., & Chen, L. (2021). The Quest for the Hippocampal Memory Engram: From Theories to Experimental Evidence. Frontiers in Behavioral Neuroscience, 14.

Mitchell, E., Lee, Y., Khazatsky, A., Manning, C. D., & Finn, C. (2023). DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature (arXiv:2301.11305; Version 1). arXiv.

Moreira, B. F. T., Pinto, T. S. S., Starling, D. S. V., & Jaeger, A. (2019). Retrieval Practice in Classroom Settings: A Review of Applied Research. Frontiers in Education, 4.

Morgan-Short, K., Faretta-Stutenberg, M., Brill-Schuetz, K. A., Carpenter, H., & Wong, P. C. M. (2014). Declarative and procedural memory as individual differences in second language acquisition*. Bilingualism: Language and Cognition, 17(1), 56–72.

Mukhalalati, B. A., & Taylor, A. (2019). Adult Learning Theories in Context: A Quick Guide for Healthcare Professional Educators. Journal of Medical Education and Curricular Development, 6, 238212051984033.

Noor, U., Younas, M., Saleh Aldayel, H., Menhas, R., & Qingyu, X. (2022). Learning behavior, digital platforms for learning and its impact on university student’s motivations and knowledge development. Frontiers in Psychology, 13.

Carrier, M., Damerow, R. M., Bailey, K. M. (2017). Review of Digital language learning and teaching: Research, theory, and practice. Language learning and technology. 22(1), 65-68.

Robledo-Castro, C., Castillo-Ossa, L. F., & Corchado, J. M. (2023). Artificial Cognitive Systems Applied in Executive Function Stimulation and Rehabilitation Programs: A Systematic Review. Arabian Journal for Science and Engineering, 48(2), 2399–2427.

Saks, K., Ilves, H., & Noppel, A. (2021). The Impact of Procedural Knowledge on the Formation of Declarative Knowledge: How Accomplishing Activities Designed for Developing Learning Skills Impacts Teachers’ Knowledge of Learning Skills. Education Sciences, 11(10), Article 10.

Schiff, D. (2021). Out of the laboratory and into the classroom: The future of artificial intelligence in education. AI & SOCIETY, 36(1), 331–348.

Schneider, S., Beege, M., Nebel, S., Schnaubert, L., & Rey, G. D. (2022). The Cognitive-Affective-Social Theory of Learning in digital Environments (CASTLE). Educational Psychology Review, 34(1), 1–38.

Seger, C., & Spiering, B. (2011). A Critical Review of Habit Learning and the Basal Ganglia. Frontiers in Systems Neuroscience, 5.

Shokrkon, A., & Nicoladis, E. (2022). The Directionality of the Relationship Between Executive Functions and Language Skills: A Literature Review. Frontiers in Psychology, 13.

Siemens, G. (2018). Connectivism. Foundations of Learning and Instructional Design Technology.

Stokel-Walker, C., & Van Noorden, R. (2023). What ChatGPT and generative AI mean for science. Nature, 614(7947), 214–216.

Suleri, J. I., & Suleri, A. J. (2019). Comparing Virtual Learning, Classical Classroom Learning and Blended Learning. European Journal of Sustainable Development Research, 3(1).

Tetzlaff, L., Schmiedek, F., & Brod, G. (2021). Developing Personalized Education: A Dynamic Framework. Educational Psychology Review, 33(3), 863–882.

Ruiz, S., Rebuschat, P., & Meurers, D. (2021). The effects of working memory and declarative memory on instructed second language vocabulary learning: Insights from intelligent CALL. Language Teaching Research. 25(4), 510–539.

Tsianos, N., Germanakos, P., Lekkas, Z., Mourlas, C., & Samaras, G. (2010). Working Memory Span and E-Learning: The Effect of Personalization Techniques on Learners’ Performance. 64–74.

Uddén, J., Folia, V., & Petersson, K. M. (2010). The Neuropharmacology of Implicit Learning. Current Neuropharmacology, 8(4), 367–381.

van Dis, E. A. M., Bollen, J., Zuidema, W., van Rooij, R., & Bockting, C. L. (2023). ChatGPT: Five priorities for research. Nature, 614(7947), 224–226.

Walkington, C., & Bernacki, M. L. (2020). Appraising research on personalized learning: Definitions, theoretical alignment, advancements, and future directions. Journal of Research on Technology in Education, 52(3), 235–252.

Warsaw, R. E., Jones, A., Rose, A. K., Newton-Fenner, A., Alshukri, S., & Gage, S. H. (2021). Mobile Technology Use and Its Association With Executive Functioning in Healthy Young Adults: A Systematic Review. Frontiers in Psychology, 12.

Williams, J., Fiore, S. M., & Jentsch, F. (2022). Supporting Artificial Social Intelligence With Theory of Mind. Frontiers in Artificial Intelligence, 5.

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

Wong, P. C. M., Vuong, L., & Liu, K. (2017). Personalized Learning: From Neurogenetics of Behaviors to Designing Optimal Language Training. Neuropsychologia, 98, 192–200.



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