The Intersection of Emotional Neuroscience and Learning: A Comprehensive Review of Current Research
Main Article Content
Abstract
This paper provides a broad-based review of how emotional neuroscience intersects with learning, emphasizing the critical role that emotions play in cognitive processes and memory formation. It discusses research into the neurobiological underpinnings and neural circuits that demonstrate the deep-seated influence of emotional states on attention, memory retention, and cognitive activities. It covers theoretical frameworks and strategies for how to enhance educational outcomes through emotional regulation using cognitive reappraisal and the strategic use of emotional content in educational materials. This research brings together insights from interdisciplinary research in psychology, neuroscience, and technology for a more accurate understanding of how important emotional intelligence is to academic and social performance. This paper argues that emotional arousal can be exploited to benefit memory retention and encourages further research in the field of emotional neuroscience to improve educational praxis. The results bear important implications for educators and show the prospect of implementing emotional intelligence and recognition tools in learning settings for better student involvement and academic performance.
Article Details

This work is licensed under a Creative Commons Attribution 4.0 International License.
References
Li, L., Gow, A. D. I., & Zhou, J. (). The role of positive emotions in education: A neuroscience perspective. Mind.
Gkintoni, E., Halkiopoulos, C., & Antonopoulou, H. (2022). Neuroleadership an asset in educational settings: An overview. Emerging Science Journal, 6(4), 893-904. https://doi.org/10.28991/ESJ-2022-06-04-016
Gómez-Cañón, J. S., Cano, E., Eerola, T., Herrera, P., Hu, X., Yang, Y. H., & Gómez, E. (2021). Music emotion recognition: Toward new, robust standards in personalized and context-sensitive applications. IEEE Signal Processing Magazine, 38(6), 106-114. https://doi.org/10.1109/MSP.2021.3106232
Zhang, Y., Chen, J., Tan, J. H., Chen, Y., Chen, Y., Li, D., ... & Che, W. (2020). An investigation of deep learning models for EEG-based emotion recognition. Frontiers in Neuroscience, 14, 622759. https://doi.org/10.3389/fnins.2020.622759
Antonopoulou, H., Halkiopoulos, C., Gkintoni, E., Katsibelis, A. (2022). Application of Gamification Tools for Identification of Neurocognitive and Social Function in Distance Learning Education. International Journal of Learning, Teaching and Educational Research, 21(5), 367–400. doi:10.26803/ijlter.21.5.19
Wang, Y., Song, W., Tao, W., Liotta, A., Yang, D., Li, X., ... & Zhang, W. (2022). A systematic review on affective computing: Emotion models, databases, and recent advances. Information Fusion, 83, 19-52. https://doi.org/10.1016/j.inffus.2022.03.009
Houssein, E. H., Hammad, A., & Ali, A. A. (2022). Human emotion recognition from EEG-based brain-computer interface using machine learning: a comprehensive review. Neural Computing and Applications. https://doi.org/10.1007/s00521-022-07292-4
Richards, J. C. (2022). Exploring emotions in language teaching. RELC Journal. https://doi.org/10.1177/0033688220927531
Baltà-Salvador, R., Olmedo-Torre, N., Peña, M., & Renta-Davids, A. I. (2021). Academic and emotional effects of online learning during the COVID-19 pandemic on engineering students. Education and Information Technologies, 26(6), 7407-7434. https://doi.org/10.1007/s10639-021-10593-1
Yang, C. (2021). Online teaching self-efficacy, social-emotional learning (SEL) competencies, and compassion fatigue among educators during the COVID-19 pandemic. School Psychology Review. https://doi.org/10.1080/2372966X.2021.1903815
Zhang, S., Yang, Y., Chen, C., Zhang, X., Leng, Q., & Zhao, X. (2024). Deep learning-based multimodal emotion recognition from audio, visual, and text modalities: A systematic review of recent advancements and future prospects. Expert Systems with Applications, 237, 121692. https://doi.org/10.1016/j.eswa.2023.121692
Gkintoni, E., Dimakos, I., Halkiopoulos, C., Antonopoulou, H. (2023). Contribution of Neuroscience to Educational Praxis: A Systematic Review. Emerging Science Journal. Emerging Science Journal. Special Issue "Current Issues, Trends, and New Ideas in Education" DOI: 10.28991/ESJ-2023-SIED2-012
Ji, K., Hettiachchi, D., Salim, F. D., Scholer, F., & Spina, D. (2024, July). Characterizing information-seeking processes with multiple physiological signals. In Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 1006-1017). https://doi.org/10.1145/3626772.3657793
Luo, A., Qin, L., Yuan, Y., Yang, Z., Liu, F., Huang, P., & Xie, W. (2022). The effect of online health information seeking on physician-patient relationships: systematic review. Journal of Medical Internet Research, 24(2), e23354. https://doi.org/10.2196/23354
Augustaitis, L., Merrill, L. A., Gamarel, K. E., & Haimson, O. L. (2021, May). Online transgender health information seeking: facilitators, barriers, and future directions. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (pp. 1-14). https://doi.org/10.1145/3411764.3445091
Elmi, C. (2020). Integrating social emotional learning strategies in higher education. European Journal of Investigation in Health, Psychology and Education, 10(3), 848-858. https://doi.org/10.3390/ejihpe10030061
Barifah, M., Landoni, M., & Eddakrouri, A. (2020). Evaluating the user experience in a digital library. Proceedings of the Association for Information Science and Technology, 57(1), e280. https://doi.org/10.1002/pra2.280
Halkiopoulos, C., Antonopoulou, H., Gkintoni, E., Aroutzidis, A. (2021). Neuromarketing as an Indicator of Cognitive Consumer Behavior in Decision Making Process of Tourism Destination. In: Katsoni, V., Şerban, A.C. (eds) Transcending Borders in Tourism Through Innovation and Cultural Heritage. Springer Proceedings in Business and Economics. Springer, Cham. https://doi.org/10.1007/978-3-030-92491-1_41
Rosário, R., Martins, M. R., Augusto, C., Silva, M. J., Martins, S., Duarte, A., ... & Dadaczynski, K. (2020). Associations between COVID-19-related digital health literacy and online information-seeking behavior among Portuguese university students. International Journal of Environmental Research and Public Health, 17(23), 8987. https://doi.org/10.3390/ijerph17238987
Montesi, M. (2021). Human information behavior during the Covid-19 health crisis: A literature review. Library & Information Science Research. https://doi.org/10.1016/j.lisr.2021.101122
Mirzaei, A., Aslani, P., Luca, E. J., & Schneider, C. R. (2021). Predictors of health information-seeking behavior: systematic literature review and network analysis. Journal of Medical Internet Research, 23(7), e21680. https://doi.org/10.2196/21680
Jiang, S. (2022). The roles of worry, social media information overload, and social media fatigue in hindering health fact-checking. Social Media + Society. https://doi.org/10.1177/20563051221113070
Chiu, T. K. F. (2023). Student engagement in K-12 online learning amid COVID-19: A qualitative approach from a self-determination theory perspective. Interactive Learning Environments. https://doi.org/10.1080/10494820.2021.1926289
Gkintoni, E., Halkiopoulos, C., Antonopoulou, H. (2022). Neuroleadership an Asset in Educational Settings: An Overview. Emerging Science Journal. Emerging Science Journal, 6(4), 893–904. DOI:10.28991/esj-2022-06-04-016
Kalia, V., & Knauft, K. (2020). Emotion regulation strategies modulate the effect of adverse childhood experiences on perceived chronic stress with implications for cognitive flexibility. PloS One. https://doi.org/10.1371/journal.pone.0235412
Fathi, J., Greenier, V., & Derakhshan, A. (2021). Self-efficacy, reflection, and burnout among Iranian EFL teachers: The mediating role of emotion regulation. Iranian Journal of Language Teaching Research, 9(2), 13-37.
Chiu, T. K., Jong, M. S. Y., & Mok, I. A. (2020). Does learner expertise matter when designing emotional multimedia for learners of primary school mathematics? Educational Technology Research and Development, 68(5), 2305-2320. https://doi.org/10.1007/s11423-020-09775-4
Liew, T. W., Tan, S. M., Pang, W. M., Khan, M. T. I., & Kew, S. N. (2023). I am Alexa, your virtual tutor!: The effects of Amazon Alexa's text-to-speech voice enthusiasm in a multimedia learning environment. Education and Information Technologies, 28(2), 1455-1489. https://doi.org/10.1007/s10639-022-11255-6
Tan, J., Mao, J., Jiang, Y., & Gao, M. (2021). The influence of academic emotions on learning effects: A systematic review. International Journal of Environmental Research and Public Health, 18(18), 9678. https://doi.org/10.3390/ijerph18189678
Shen, Y., Wang, Z., Li, M., Yuan, J., & Gu, Y. (2022). An empirical study of geography learning on students' emotions and motivation in immersive virtual reality. Frontiers in Education. https://doi.org/10.3389/feduc.2022.831619
Barkana, B. D., Ozkan, Y., & Badara, J. A. (2022). Analysis of working memory from EEG signals under different emotional states. Biomedical Signal Processing and Control, 71, 103249. https://doi.org/10.1016/j.bspc.2021.103249
Shengyao, Y., Xuefen, L., Jenatabadi, H. S., Samsudin, N., Chunchun, K., & Ishak, Z. (2024). Emotional intelligence impact on academic achievement and psychological well-being among university students: The mediating role of positive psychological characteristics. BMC Psychology, 12(1), 389. https://doi.org/10.1186/s40359-024-01886-4
Mehta, K. J. (2022). Effect of sleep and mood on academic performance-at interface of physiology, psychology, and education. Humanities and Social Sciences Communications. https://doi.org/10.1057/s41599-021-01031-1
Snefjella, B., Lana, N., & Kuperman, V. (2020). How emotion is learned: Semantic learning of novel words in emotional contexts. Journal of Memory and Language. https://doi.org/10.1016/j.jml.2020.104171
Palmieri, A., Pick, E., Grossman-Giron, A., & Tzur Bitan, D. (2021). Oxytocin as the neurobiological basis of synchronization: A research proposal in psychotherapy settings. Frontiers in Psychology, 12, 628011. https://doi.org/10.3389/fpsyg.2021.628011
Danilov, I. V., & Mihailova, S. (2021). Neuronal coherence agent for shared intentionality: A hypothesis of neurobiological processes occurring during social interaction. OBM Neurobiology. https://doi.org/10.21926/obm.neurobiol.2104113
Antonopoulou, H., Giannoulis, A., Theodorakopoulos, L., & Halkiopoulos, C. (2022). Socio-Cognitive Awareness of Inmates through an Encrypted Innovative Educational Platform. International Journal of Learning, Teaching and Educational Research, 21(9), 52–75. https://doi.org/10.26803/ijlter.21.9.4
Coria-Avila, G. A., Pfaus, J. G., Orihuela, A., Domínguez-Oliva, A., José-Pérez, N., Hernández, L. A., & Mota-Rojas, D. (2022). The neurobiology of behavior and its applicability for animal welfare: A review. Animals, 12(7), 928. https://doi.org/10.3390/ani12070928
Gellisch, M., Bablok, M., Brand-Saberi, B., & Schäfer, T. (2024). Neurobiological stress markers in educational research: A systematic review of physiological insights in health science education. Trends in Neuroscience and Education. https://doi.org/10.1016/j.tine.2024.100242
Gkintoni, E., Meintani, P. M., & Dimakos, I. (2021). Neurocognitive and Emotional Parameters in Learning and Educational Process. ICERI2021 Proceedings. https://doi.org/10.21125/iceri.2021.0659
Antonopoulou, H., Halkiopoulos, C., Barlou, O., & Beligiannis, G. N. (2021b). Associations between Traditional and Digital Leadership in Academic Environment: During the COVID-19 Pandemic. Emerging Science Journal, 5(4), pp.405–428. DOI:10.28991/esj-2021-01286.
Wasserman, T., & Wasserman, L. (2020). Motivation, effort, and the neural network model. Neurobiological Foundations of Motivation. https://doi.org/10.1007/978-3-030-58724-6
Schutter, D. J. L. G. (2021). Human cerebellum in motivation and emotion. Handbook of the Cerebellum and Cerebellar Disorders. https://doi.org/10.1007/978-3-030-23810-0_79
Rolls, E. T. (2023). Emotion, motivation, decision-making, the orbitofrontal cortex, anterior cingulate cortex, and the amygdala. Brain Structure and Function. https://doi.org/10.1007/s00429-023-02644-9
Šimić, G., Tkalčić, M., Vukić, V., Mulc, D., Španić, E., Šagud, M., & Hof, P. R. (2021). Understanding emotions: Origins and roles of the amygdala. Biomolecules, 11(6), 823. https://doi.org/10.3390/biom11060823
Quadt, L., Critchley, H., & Nagai, Y. (2022). Cognition, emotion, and the central autonomic network. Autonomic Neuroscience. https://doi.org/10.1016/j.autneu.2022.102948
Van Kleef, G. A., & Côté, S. (2022). The social effects of emotions. Annual Review of Psychology. https://doi.org/10.1146/annurev-psych-020821-010855
Ortony, A., Clore, G. L., & Collins, A. (2022). The Cognitive Structure of Emotions. Cambridge University Press. https://doi.org/10.1017/9781108934053
Antonopoulou, H., Halkiopoulos, C., Barlou, O., & Beligiannis, G. N. (2021b). Associations between Traditional and Digital Leadership in Academic Environment: During the COVID-19 Pandemic. Emerging Science Journal, 5(4), pp.405–428. DOI:10.28991/esj-2021-01286.
Tzafilkou, K., Perifanou, M., & Economides, A. A. (2021). Negative emotions, cognitive load, acceptance, and self-perceived learning outcome in emergency remote education during COVID-19. Education and Information Technologies, 26(6), 7497-7521. https://doi.org/10.1007/s10639-021-10604-1
Nejati, V., Majdi, R., Salehinejad, M. A., & Nitsche, M. A. (2021). The role of dorsolateral and ventromedial prefrontal cortex in the processing of emotional dimensions. Scientific Reports. https://doi.org/10.1038/s41598-021-81454-7
Palomero-Gallagher, N., & Amunts, K. (2022). A short review on emotion processing: A lateralized network of neuronal networks. Brain Structure and Function. https://doi.org/10.1007/s00429-021-02331-7
Dixon, M. L., & Dweck, C. S. (2022). The amygdala and the prefrontal cortex: The co-construction of intelligent decision-making. Psychological Review. https://doi.org/10.1037/rev0000339
Bakalis, A., Halkiopoulos, C., & Antonopoulou, H. (2024). The Digital Transformation of Tourism. Case Study of Greek Tourism. Springer Proceedings in Business and Economics, 121–157. https://doi.org/10.1007/978-3-031-54338-8_9
Xu, C., Wang, C., Jiang, J., Sun, J., & Lin, H. (2021). Memristive circuit implementation of context-dependent emotional learning network and its application in multitask. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 41(9), 3052-3065. https://doi.org/10.1109/TCAD.2021.3116463
Sortwell, A., Trimble, K., Ferraz, R., Geelan, D., Hine, G., Ramirez-Campillo, R., Carter-Thuillier, B., Gkintoni, E., Xuan, Q. (2024). A Systematic Review of Meta-Analyses on the Impact of Formative Assessment on K-12 Students’ Learning: Toward Sustainable Quality Education. Sustainability, 16, 7826. https://doi.org/10.3390/su16177826
Gee, D. G., Hanson, C., Caglar, L. R., Fareri, D. S., Gabard-Durnam, L. J., Mills-Finnerty, C., & Tottenham, N. (2022). Experimental evidence for a child-to-adolescent switch in human amygdala-prefrontal cortex communication: A cross-sectional pilot study. Developmental Science, 25(4), e13238. https://doi.org/10.1111/desc.13238
Sortwell, A., Evgenia, G., Zagarella, S., Granacher, U., Forte, P., Ferraz, R., Ramirez-Campillo, R., Carter-Thuillier, B., Konukman, F., Nouri, A., Bentley, B., Marandi, P., & Jemni, M. (2023). Making neuroscience a priority in Initial Teacher Education curricula: a call for bridging the gap between research and future practices in the classroom. Neuroscience Research Notes, 6(4). https://doi.org/10.31117/neuroscirn.v6i4.266
Petrucci, A. S., & Palombo, D. J. (2021). A matter of time: How does emotion influence temporal aspects of remembering? Cognition and Emotion. https://doi.org/10.1080/02699931.2021.1976733
Mancuso, V., Bruni, F., Stramba-Badiale, C., Riva, G., Cipresso, P., & Pedroli, E. (2023). How do emotions elicited in virtual reality affect our memory? A systematic review. Computers in Human Behavior, 146, 107812. https://doi.org/10.1016/j.chb.2023.107812
Roesler, R., Parent, M. B., LaLumiere, R. T., & McIntyre, C. K. (2021). Amygdala-hippocampal interactions in synaptic plasticity and memory formation. Neurobiology of Learning and Memory, 184, 107490. https://doi.org/10.1016/j.nlm.2021.107490
Gousteris, S., Stamatiou, Y. C., Halkiopoulos, C., Antonopoulou, H., & Kostopoulos, N. (2023). Secure Distributed Cloud Storage based on the Blockchain Technology and Smart Contracts. Emerging Science Journal, 7(2), 469–479. https://doi.org/10.28991/esj-2023-07-02-012
de Oliveira Alvares, L., & Do-Monte, F. H. (2021). Understanding the dynamic and destiny of memories. Neuroscience & Biobehavioral Reviews, 125, 592-607. https://doi.org/10.1016/j.neubiorev.2021.03.009
Fujiwara, E., Madan, C. R., Caplan, J. B., & Sommer, T. (2021). Emotional arousal impairs association memory: Roles of prefrontal cortex regions. Learning & Memory, 28(3), 76-81. https://doi.org/10.1101/lm.052480.120
Szőllősi, Á., & Racsmány, M. (2020). Enhanced mnemonic discrimination for emotional memories: The role of arousal in interference resolution. Memory & Cognition. https://doi.org/10.3758/s13421-020-01035-3
Wang, B. (2021). Effect of post-encoding emotion on long-term memory: Modulation of emotion category and memory strength. The Journal of General Psychology. https://doi.org/10.1080/00221309.2020.1769543
Antonopoulou, H., Theodorakopoulos, L., Halkiopoulos, C., & Mamalougkou, V. (2023). Utilizing Machine Learning to Reassess the Predictability of Bank Stocks. Emerging Science Journal, 7(3), 724–732. https://doi.org/10.28991/esj-2023-07-03-04
Pereira, D. R., Teixeira-Santos, A. C., Sampaio, A., & Pinheiro, A. P. (2023). Examining the effects of emotional valence and arousal on source memory: A meta-analysis of behavioral evidence. Emotion, 23(6), 1740. https://doi.org/10.1037/emo0001188
Krejtz, K., Żurawska, J., Duchowski, A. T., & Wichary, S. (2020). Pupillary and microsaccadic responses to cognitive effort and emotional arousal during complex decision making. Journal of Eye Movement Research, 13(5). https://doi.org/10.16910/jemr.13.5.2
Cools, R., & Arnsten, A. F. T. (2022). Neuromodulation of prefrontal cortex cognitive function in primates: The powerful roles of monoamines and acetylcholine. Neuropsychopharmacology. https://doi.org/10.1038/s41386-021-01100-8
Langer, K., Hagedorn, B., Stock, L. M., Otto, T., Wolf, O. T., & Jentsch, V. L. (2020). Acute stress improves the effectivity of cognitive emotion regulation in men. Scientific Reports, 10(1), 11571. https://doi.org/10.1038/s41598-020-68137-5
Hartikainen, K. M. (2021). Emotion-attention interaction in the right hemisphere. Brain Sciences. https://doi.org/10.3390/brainsci11081006
Symeonidou, N., & Kuhlmann, B. G. (2022). Better memory for emotional sources? A systematic evaluation of source valence and arousal in source memory. Cognition and Emotion. https://doi.org/10.1080/02699931.2021.2008323
Gao, C., Ren, J., Sakaki, M., & Jia, X. (2024). Memory enhancement for emotional words is attributed to both valence and arousal. Acta Psychologica. https://doi.org/10.1016/j.actpsy.2024.104249
Cocquyt, C. M., Wilson, I. S., Madan, C. R., & Palombo, D. J. (2024). The retrograde effects of negative emotion on memory for conceptually related events: A registered report. Cognition and Emotion, 1-17. https://doi.org/10.1080/02699931.2024.2397371
Gkintoni, E. (2023). Clinical neuropsychological characteristics of bipolar disorder, with a focus on cognitive and linguistic pattern: a conceptual analysis. F1000Research, 12, 1235. https://doi.org/10.12688/f1000research.141599.1
Głomb, K. (2022). How to improve eyewitness testimony research: Theoretical and methodological concerns about experiments on the impact of emotions on memory performance. Psychological Research. https://doi.org/10.1007/s00426-021-01488-4
Xu, H., & Armony, J. L. (2024). Arousal level and exemplar variability of emotional face and voice encoding influence expression-independent identity recognition. Motivation and Emotion. https://doi.org/10.1007/s11031-024-10066-1
Pilarczyk, J., Sterna, R., Schwertner, E., Pacula, B., Bartoszek, M., & Kuniecki, M. (2022). Physiological reactions at encoding selectively predict recognition of emotional images. Biological Psychology, 175, 108429. https://doi.org/10.1016/j.biopsycho.2022.108429
Luther, L., de Voogd, L. D., Hagenaars, M. A., & Jensen, O. (2022). Gamma oscillations and emotional memory. bioRxiv. https://doi.org/10.1101/2022.02.02.478869
Malik, M., Sarwar, S., & Orr, S. (2021). Agile practices and performance: Examining the role of psychological empowerment. International Journal of Project Management. https://doi.org/10.1016/j.ijproman.2020.09.002
Huang, F., Li, X., Yuan, C., Zhang, S., Zhang, J., & Qiao, S. (2021). Attention-emotion-enhanced convolutional LSTM for sentiment analysis. IEEE Transactions on Neural Networks and Learning Systems, 33(9), 4332-4345. https://doi.org/10.1109/TNNLS.2021.3056664
Bogliacino, F., Codagnone, C., Montealegre, F., Folkvord, F., Gómez, C., Charris, R., ... & Veltri, G. A. (2021). Negative shocks predict change in cognitive function and preferences: Assessing the negative affect and stress hypothesis. Scientific Reports, 11(1), 3546. https://doi.org/10.1038/s41598-021-83089-0
Gkintoni, E., Koutsopoulou, I., Antonopoulou, H., Christopoulos, P. (2021). Consequences of the COVID-19 Pandemic on Greek Students’ Mental Health: Quality of Life and Trauma Stressful Events Correlation. 14th Annual International Conference of Education, Research and Innovation, 8th-10th November, Seville Spain. DOI:10.21125/iceri.2021.0663
Drigas, A., & Mitsea, E. (2021). Metacognition, stress-relaxation balance & related hormones. International Journal of Recent Contributions from Engineering, Science & IT (iJES). https://doi.org/10.3991/ijes.v9i1.19623
Leblanc, H., & Ramirez, S. (2020). Linking social cognition to learning and memory. Journal of Neuroscience. https://doi.org/10.1523/JNEUROSCI.1280-20.2020
Kruszewska, A., Nazaruk, S., & Szewczyk, K. (2022). Polish teachers of early education in the face of distance learning during the COVID-19 pandemic-the difficulties experienced and suggestions for the future. Education 3-13. https://doi.org/10.1080/03004279.2020.1849346
Ali, J. K. M., Shamsan, M. A. A., Hezam, T. A., & Mohammed, A. A. (2023). Impact of ChatGPT on learning motivation: Teachers and students' voices. Journal of English Studies in Arabia Felix, 2(1), 41-49. https://doi.org/10.56540/jesaf.v2i1.51
Kulikowski, K., Przytuła, S., & Sułkowski, Ł. (2022). E-learning? Never again! On the unintended consequences of COVID-19 forced e-learning on academic teacher motivational job characteristics. Higher Education Quarterly, 76(1), 174-189. https://doi.org/10.1111/hequ.12314
Al-Kumaim, N. H., Alhazmi, A. K., Mohammed, F., Gazem, N. A., Shabbir, M. S., & Fazea, Y. (2021). Exploring the impact of the COVID-19 pandemic on university students' learning life: An integrated conceptual motivational model for sustainable and healthy online learning. Sustainability, 13(5), 2546. https://doi.org/10.3390/su13052546
Tzachrista, M., Gkintoni, E., & Halkiopoulos, C. (2023). Neurocognitive Profile of Creativity in Improving Academic Performance—A Scoping Review. Education Sciences, 13(11), 1127. https://doi.org/10.3390/educsci13111127
Jamieson, J. P., Black, A. E., Pelaia, L. E., Gravelding, H., Gordils, J., & Reis, H. T. (2022). Reappraising stress arousal improves affective, neuroendocrine, and academic performance outcomes in community college classrooms. Journal of Experimental Psychology: General, 151(1), 197. https://doi.org/10.1037/xge0000893
Giannoulis, A., Theodorakopoulos, L., & Antonopoulou, H. (2022). Learning in Second-Chance Schools during COVID-19 Case Study: Legal Framework and Distance Learning Platforms in Greek Prison. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4132811
Losenno, K. M., Muis, K. R., Munzar, B., Denton, C. A., & Perry, N. E. (2020). The dynamic roles of cognitive reappraisal and self-regulated learning during mathematics problem solving: A mixed methods investigation. Contemporary Educational Psychology, 61, 101869. https://doi.org/10.1016/j.cedpsych.2020.101869
Gkintoni, E., & Ortiz, P. S. (2023). Neuropsychology of Generalized Anxiety Disorder in Clinical Setting: A Systematic Evaluation. Healthcare, 11(17), 2446. https://doi.org/10.3390/healthcare11172446
Pizzie, R. G., & Kraemer, D. J. M. (2023). Strategies for remediating the impact of math anxiety on high school math performance. npj Science of Learning. https://doi.org/10.1038/s41539-023-00188-5
Marsh, L. C., Patel, S. D., Smith, A. J., So, M., Armstrong, H., Elliott, R., ... & Hitchcock, C. (2023). From basic science to clinical practice: Can cognitive behavioural therapy tasks be augmented with enhanced episodic specificity? Behaviour Research and Therapy, 167, 104352. https://doi.org/10.1016/j.brat.2023.104352
Dreisoerner, A., Heekerens, J. B., Karle, V., & Pawelkiewicz, J. M. (2024). Fear-setting: A Brief Writing Intervention Increases Motivation to Reach Personal Goals and Positive Affect. Journal of Happiness Studies, 25(6), 61. https://doi.org/10.1007/s10902-024-00767-2
Yu, X., Pan, Y., Ouyang, J., & Sun, P. (2023). Shame Memory's Impact on Depression among Junior Middle School Students: A Moderated Mediation Model. Behavioral Sciences. https://doi.org/10.3390/bs13100802
Giannoulis, A., Antonopoulou, H., & Halkiopoulos, C. (2022). EDUCATIONAL LEARNING METHODS WITH GAMIFICATION ASPECTS FOR INMATES DURING PANDEMIC. EDULEARN22 Proceedings, 1, 5746–5751. https://doi.org/10.21125/edulearn.2022.1351
Gadosey, C. K., Turhan, D., Wenker, T., Kegel, L. S., Bobe, J., Thomas, L., ... & Grunschel, C. (2024). Relationship between the intraindividual interplay of negative and positive exam-related emotions and the behavioral-emotional dimensions of academic procrastination. Current Psychology, 1-19. https://doi.org/10.1007/s12144-024-06719-6
Gkintoni E., Nikolaou G. (2024). The Cross-Cultural Validation of Neuropsychological Assessments and Their Clinical Applications in Cognitive Behavioral Therapy: A Scoping Analysis. Int J Environ Res Public Health. 2024 Aug 22;21(8):1110. doi: 10.3390/ijerph21081110
Shafait, Z., Khan, M. A., Sahibzada, U. F., Dacko-Pikiewicz, Z., & Popp, J. (2021). An assessment of students' emotional intelligence, learning outcomes, and academic efficacy: A correlational study in higher education. PLOS ONE, 16(8), e0255428. https://doi.org/10.1371/journal.pone.0255428
Vila, S., Gilar-Corbí, R., & Pozo-Rico, T. (2021). Effects of student training in social skills and emotional intelligence on the behaviour and coexistence of adolescents in the 21st century. International Journal of Environmental Research and Public Health, 18(10), 5498. https://doi.org/10.3390/ijerph18105498
Halkiopoulos, C., Antonopoulou, H., Gkintoni, E., & Aroutzidis, A. (2022). Neuromarketing as an Indicator of Cognitive Consumer Behavior in Decision-Making Process of Tourism destination—An Overview. Springer Proceedings in Business and Economics, 679–697. https://doi.org/10.1007/978-3-030-92491-1_41
Vega, A., Cabello, R., Megías-Robles, A., Gómez-Leal, R., & Fernández-Berrocal, P. (2022). Emotional intelligence and aggressive behaviors in adolescents: A systematic review and meta-analysis. Trauma, Violence, & Abuse, 23(4), 1173-1183. https://doi.org/10.1177/1524838021991296
Antonopoulou, H., Halkiopoulos, C., Barlou, O., Beligiannis, G. (2019). Transition from Educational Leadership to e-Leadership: A Data Analysis Report from TEI of Western Greece. International Journal of Learning, Teaching and Educational Research, 18 (9), pp.238-255. DOI:10.26803/ijlter.18.9.13
Moroń, M., & Biolik-Moroń, M. (2021). Trait emotional intelligence and emotional experiences during the COVID-19 pandemic outbreak in Poland: A daily diary study. Personality and Individual Differences. https://doi.org/10.1016/j.paid.2020.110348
Sanchez-Ruiz, M. J., Tadros, N., Khalaf, T., Ego, V., Eisenbeck, N., Carreno, D. F., & Nassar, E. (2021). Trait emotional intelligence and wellbeing during the pandemic: The mediating role of meaning-centered coping. Frontiers in Psychology, 12, 648401. https://doi.org/10.3389/fpsyg.2021.648401
Antonopoulou, H., Giannoulis, A., Theodorakopoulos, L., & Halkiopoulos, C. (2022). Distance Education Opportunities in the Fields of Social Justice, Equality, and Human Rights for Inmates During Pandemic. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.4019002
Khassawneh, O., Mohammad, T., Ben-Abdallah, R., & Alabidi, S. (2022). The relationship between emotional intelligence and educators' performance in higher education sector. Behavioral Sciences, 12(12), 511. https://doi.org/10.3390/bs12120511
Stamatiou, Y. C., Halkiopoulos, C., Giannoulis, A., & Antonopoulou, H. (2022). Utilizing a Restricted Access e-Learning Platform for Reform, Equity, and Self-development in Correctional Facilities. Emerging Science Journal, 6, 241–252. https://doi.org/10.28991/esj-2022-sied-017
Hjalmarsson, A. K. V., & Dåderman, A. M. (2022). Relationship between emotional intelligence, personality, and self-perceived individual work performance: A cross-sectional study on the Swedish version of TEIQue. Current Psychology. https://doi.org/10.1007/s12144-020-00753-w
Theodorakopoulos, L., Theodoropoulou, A., & Halkiopoulos, C. (2024). Enhancing Decentralized Decision-Making with Big Data and Blockchain Technology: A Comprehensive Review. Applied Sciences, 14(16), 7007. https://doi.org/10.3390/app14167007
Halimi, F., AlShammari, I., & Navarro, C. (2021). Emotional intelligence and academic achievement in higher education. Journal of Applied Research in Higher Education, 13(2), 485-503. https://doi.org/10.1108/JARHE-11-2019-0286
Sánchez-Álvarez, N., Berrios Martos, M. P., & Extremera, N. (2020). A meta-analysis of the relationship between emotional intelligence and academic performance in secondary education: A multi-stream comparison. Frontiers in Psychology, 11, 1517. https://doi.org/10.3389/fpsyg.2020.01517
Antonopoulou, H. (2024). Personality Traits and the Growth of Emotional Intelligence. A Systematic Evaluation. Technium Education and Humanities, 6, 173–184. https://doi.org/10.47577/teh.v6i.9442
Sauli, F., Wenger, M., & Fiori, M. (2022). Emotional competences in vocational education and training: State of the art and guidelines for interventions. Empirical Research in Vocational Education and Training, 14(1), 4. https://doi.org/10.1186/s40461-022-00132-8
Dallman, L. L. (2022). The roles of teacher emotional intelligence and cultural intelligence in establishing positive social-emotional dynamics with diverse student groups. ProQuest.
Antonopoulou, H. (2023). Building up Leadership Skills in Vulnerable Social Groups. Case Study in Bipolar Disorder and Psychoeducation Contribution. Technium Business and Management, 6, 70–79. https://doi.org/10.47577/business.v6i.9718
Farooq, R., Sarwar, M., & Arif, M. (2024). Meta-analysis: Investigating the emotional intelligence among undergraduate students. Bulletin of Business and Economics (BBE), 13(2), 1134-1138. https://doi.org/10.61506/01.00473
Antonopoulou, H. (2024). The Contribution of Mental Capacity to Personality Formulation. An Overview. Technium Education and Humanities, 7, 101–114. https://doi.org/10.47577/teh.v7i.9720
Middleton, J. A., Wiezel, A., Jansen, A., & Smith, E. P. (2023). Tracing mathematics engagement in the first year of high school: Relationships between prior experience, observed support, and task-level emotion and motivation. ZDM-Mathematics Education, 55(2), 427-445. https://doi.org/10.1007/s11858-022-01432-9
Lishinski, A., & Rosenberg, J. (2021). All the pieces matter: The relationship of momentary self-efficacy and affective experiences with CS1 achievement and interest in computing. Proceedings of the 17th ACM Conference on International Computing Education Research, 252-265. https://doi.org/10.1145/3446871.3469740
Stamatiou, Y., Halkiopoulos, C., & Antonopoulou, H. (2023). A Generic, Flexible Smart City Platform focused on Citizen Security and Privacy. Proceedings of the 27th Pan-Hellenic Conference on Progress in Computing and Informatics. https://doi.org/10.1145/3635059.3635095
Sonnentag, S., Wehrt, W., Weyers, B., & Law, Y. C. (2022). Conquering unwanted habits at the workplace: Day-level processes and longer-term change in habit strength. Journal of Applied Psychology, 107(5), 831. https://doi.org/10.1037/apl0000930
Gkintoni, E., Vantaraki, F., Skoulidi, C., Anastassopoulos, P., & Vantarakis, A. (2024). Promoting Physical and Mental Health among Children and Adolescents via Gamification—A Conceptual Systematic Review. Behavioral Sciences, 14(2), 102. https://doi.org/10.3390/bs14020102
Mystakidis, S., Berki, E., & Valtanen, J. P. (2021). Deep and meaningful e-learning with social virtual reality environments in higher education: A systematic literature review. Applied Sciences. https://doi.org/10.3390/app11052412
Gkintoni, E., Dimakos, I. (2022). An Overview of Cognitive Neuroscience in Education. 14th Annual International Conference on Education and New Learning Technologies, 4th – 6th July, Mallorca, Spain. DOI:10.21125/edulearn.2022.1343
Wang, J. Z., Zhao, S., Wu, C., Adams, R. B., Newman, M. G., Shafir, T., & Tsachor, R. (2023). Unlocking the emotional world of visual media: An overview of the science, research, and impact of understanding emotion. Proceedings of the IEEE, 111(10), 1236-1286. https://doi.org/10.1109/JPROC.2023.3273517
Erdoğdu, F., & Çakıroğlu, Ü. (2021). The educational power of humor on student engagement in online learning environments. Research and Practice in Technology Enhanced Learning, 16(1), 9. https://doi.org/10.1186/s41039-021-00158-8
Theodorakopoulos, L., & Theodoropoulou, A. (2024). Leveraging Big Data Analytics for Understanding Consumer Behavior in Digital Marketing: A Systematic Review. Human Behavior and Emerging Technologies, 2024(1). Portico. https://doi.org/10.1155/2024/3641502
Jia, S., Wang, S., Hu, C., Webster, P. J., & Li, X. (2021). Detection of genuine and posed facial expressions of emotion: Databases and methods. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2020.580287
Garcia-Garcia, J. M., Penichet, V. M., Lozano, M. D., & Fernando, A. (2022). Using emotion recognition technologies to teach children with autism spectrum disorder how to identify and express emotions. Universal Access in the Information Society, 21(4), 809-825. https://doi.org/10.1007/s10209-021-00818-y
Antonopoulou, H. (2023). Evolutionary Features of Personality Research and Leadership Traits. A Comprehensive Analysis. Technium Business and Management, 6, 58–69. https://doi.org/10.47577/business.v6i.9717
Theodorakopoulos, L., Theodoropoulou, A., & Stamatiou, Y. (2024). A State-of-the-Art Review in Big Data Management Engineering: Real-Life Case Studies, Challenges, and Future Research Directions. Eng, 5(3), 1266–1297. https://doi.org/10.3390/eng5030068
Khare, S. K., Blanes-Vidal, V., Nadimi, E. S., & Acharya, U. R. (2024). Emotion recognition and artificial intelligence: A systematic review (2014-2023) and research recommendations. Information Fusion. https://doi.org/10.1016/j.inffus.2023.102019
Marín-Morales, J., Llinares, C., Guixeres, J., & Alcañiz, M. (2020). Emotion recognition in immersive virtual reality: From statistics to affective computing. Sensors. https://doi.org/10.3390/s20185163
Deng, J., & Ren, F. (2021). A survey of textual emotion recognition and its challenges. IEEE Transactions on Affective Computing.
Gkintoni, E., Kakoleres, G., Telonis, G., Halkiopoulos, C., & Boutsinas, B. (2023). A Conceptual Framework for Applying Social Signal Processing to Neuro-Tourism. Springer Proceedings in Business and Economics, 323–335. https://doi.org/10.1007/978-3-031-26829-8_20
Mao, R., Liu, Q., He, K., Li, W., & Cambria, E. (2022). The biases of pre-trained language models: An empirical study on prompt-based sentiment analysis and emotion detection. IEEE Transactions on Affective Computing, 14(3), 1743-1753. https://doi.org/10.1109/TAFFC.2022.3204972
Savchenko, A. V., Savchenko, L. V., & Makarov, I. (2022). Classifying emotions and engagement in online learning based on a single facial expression recognition neural network. IEEE Transactions on Affective Computing, 13(4), 2132-2143. https://doi.org/10.1109/TAFFC.2022.3188390
Halkiopoulos, C., & Gkintoni, E. (2024). Leveraging AI in E-Learning: Personalized Learning and Adaptive Assessment through Cognitive Neuropsychology—A Systematic Analysis. Electronics, 13(18), 3762. https://doi.org/10.3390/electronics13183762
Alswaidan, N., & Menai, M. E. B. (2020). A survey of state-of-the-art approaches for emotion recognition in text. Knowledge and Information Systems. https://doi.org/10.1007/s10115-020-01449-0
Saxena, A., Khanna, A., & Gupta, D. (2020). Emotion recognition and detection methods: A comprehensive survey. Journal of Artificial Intelligence and Systems, 2(1), 53-79. https://doi.org/10.33969/AIS.2020.21005
Oberle, E., Domitrovich, C. E., Meyers, D. C., & Weissberg, R. P. (2020). Establishing systemic social and emotional learning approaches in schools: A framework for schoolwide implementation. In Social and Emotional Learning (pp. 6-26). https://doi.org/10.4324/9780429444692-2
Antonopoulou, H. (2024). The Value of Emotional Intelligence: Self-Awareness, Self-Regulation, Motivation, and Empathy as Key Components. Technium Education and Humanities, 8, 78–92. https://doi.org/10.47577/teh.v8i.9719
Wigelsworth, M., Lendrum, A., Oldfield, J., Scott, A., Ten Bokkel, I., Tate, K., & Emery, C. (2020). The impact of trial stage, developer involvement and international transferability on universal social and emotional learning programme outcomes: A meta-analysis. In Social and Emotional Learning, 73-102. https://doi.org/10.4324/9780429444692-6
Camangian, P., & Cariaga, S. (2022). Social and emotional learning is hegemonic miseducation: Students deserve humanization instead. Race Ethnicity and Education. https://doi.org/10.1080/13613324.2020.1798374
Antonopoulou, H., Halkiopoulos, C., Barlou, O., & Beligiannis, G. N. (2021a). Transformational Leadership and Digital Skills in Higher Education Institutes: During the COVID-19 Pandemic. Emerging Science Journal, 5(1), pp.1–15. DOI:10.28991/esj-2021-01252
Gkintoni, E., Boutsinas, B., Kourkoutas, E. (2022). Developmental Trauma and Neurocognition in Young Adults. 14th Annual International Conference on Education and New Learning Technologies, 4th – 6th July, Mallorca, Spain. DOI:10.21125/edulearn.2022.1332
Mahoney, J. L., Weissberg, R. P., Greenberg, M. T., Dusenbury, L., Jagers, R. J., Niemi, K., ... & Yoder, N. (2021). Systemic social and emotional learning: Promoting educational success for all preschool to high school students. American Psychologist, 76(7), 1128. https://doi.org/10.1037/amp0000701