International Journal of Education and Management Engineering (IJEME)
IJEME Vol. 15, No. 2, 8 Apr. 2025
Cover page and Table of Contents: PDF (size: 990KB)
Empathetic Intelligent Virtual Assistant to Support Distance Learning: Systematic Review
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Author(s)
Claudia De Armas
1,*
Anderson A. A. Silva
1,2,3,4,5
Fabio S. Oliveira
2
Sergio T. Kofuji
1
Romero Tori
1
Adilson E. Guelfi
6
Index Terms
Cognitive Assistants, Intelligent Virtual Assistant, Natural Language Processing, Distance education and online learning, Artificial Intelligence
Abstract
Distance learning as a modality has been growing for some time, however it received a significant boost from 2020. As teachers' activities have increased, Intelligent Virtual Assistants (IVAs) have helped to cope with the high workload and volume of requests. However, IVAs that include modules on empathy and teaching personalization are scarce. In the current work, we intend to map, through a systematic literature review, the level of maturity of the IVAs and how they can include empathy and personalization to improve results in conversations. The study considers a systematic review methodology that analyzes a series of works involving the use of IVAs and empathetic modules, and the platforms, resources, and functionalities available. We demonstrate the relevance of the topic in the scientific area, the diversity of countries involved, and the limitations and challenges that still need to be discussed.
Cite This Paper
Claudia De Armas, Anderson A. A. Silva, Fabio S. Oliveira, Sergio T. Kofuji, Romero Tori, Adilson E. Guelfi, "Empathetic Intelligent Virtual Assistant to Support Distance Learning: Systematic Review", International Journal of Education and Management Engineering (IJEME), Vol.15, No.2, pp. 29-43, 2025. DOI:10.5815/ijeme.2025.02.04
Reference
[1]Rocha, E.M., & Lima, J.D. Impactos e desafios do ensino on-line decorrentes da pandemia COVID-19. Revista Ibero-Americana de Estudos em Educação, 377-390, 2021. https://doi.org/10.21723/riaee.v16i2.14526.
[2]Dube, S. The 21st Century Students' Educational Ict Preferences. International Journal of Robotics and Automation, 3. https://doi.org/10.15406/iratj.2017.03.00069.
[3]Goel, A. K., & Polepeddi, L. Jill Watson: A Virtual Teaching Assistant for Online Education. Georgia Tech Library, 1–21. 2017. https://doi.org/10.4324/97813511861937.
[4]Nuruzzaman, M., & Hussain, O.K. A Survey on Chatbot Implementation in Customer Service Industry through Deep Neural Networks. 2018 IEEE 15th International Conference on e-Business Engineering (ICEBE), 54-61, 2018. https://doi.org/10.1109/ICEBE.2018.00019.
[5]Larisane K., N., Antunes, C. A., João de Barros Vanzin, V., Luis Tavares da Silva, J., Loureiro Krassmann, A., & Margarida Rockenbach Tarouco, L. Chatbots na educação: uma Revisão Sistemática da Literatura. Renote, 123–132, 2018. https://doi.org/10.22456/1679-1916.86019.
[6]Silva, R. F. d. As emoções e sentimentos na relação professor-aluno e sua importância para o processo de ensino e aprendizagem: Contribuições da teoria de Henri Wallon. 2017. http://hdl.handle.net/11449/150708
[7]Gunawan, T.S., Falelmula Babiker, A.B., Ismail, N., & Effendi, M.R. (2021). Development of Intelligent Telegram Chatbot Using Natural Language Processing. 2021 7th International Conference on Wireless and Telematics (ICWT), 1-5. https://doi.org/10.1109/icwt52862.2021.9678471
[8]Chiu, P., Chang, J., Lee, M., Chen, C.H., & Lee, D. Enabling Intelligent Environment by the Design of Emotionally Aware Virtual Assistant: A Case of Smart Campus. IEEE Access, 8, 62032-62041, 2020. https://doi.org/10.1109/ACCESS.2020.2984383
[9]Moridis, C.N., & Economides, A. A. Affective Learning: Empathetic Agents with Emotional Facial and Tone of Voice Expressions. IEEE Transactions on Affective Computing, 3, 260-272, 2012. https://doi.org/10.1109/T-AFFC.2012.6
[10]Zamboni, A. B., Thommazo, A. D., Hernandes, E. C. M., & Fabbri, S. C. P. F. StArt – Uma ferramenta para apoio ao processo de revisão sistemática. Brazilian Conference on Software: Theory and Practice - Tools Session, 2010. https://nemo.inf.ufes.br/wp-content/papercite-data/pdf/revsis__uma_ferramenta_de_apoio_a_realizacao_de_estudos_baseados_em_revisao_sistematica_da_literatura_2012.pdf.
[11]Grivokostopoulou, F. et al. The Effectiveness of Embodied Pedagogical Agents and Their Impact on Students Learning in Virtual Worlds. Applied Sciences. 2020. https://doi.org/10.3390/app10051739.
[12]Katsarou, E. et al. A Systematic Review of Voice-based Intelligent Virtual Agents in EFL Education. Int. J. Emerg. Technol. Learn., 18. 2023, 65-85. https://doi.org/10.3991/ijet.v18i10.37723.
[13]Nikolopoulou, K. et al. Generative Artificial Intelligence in Higher Education: Exploring Ways of Harnessing Pedagogical Practices with the Assistance of ChatGPT. International Journal of Changes in Education. 2024. https://doi.org/10.47852/bonviewijce42022489.
[14]Sajja, R. et al. Artificial Intelligence-Enabled Intelligent Assistant for Personalized and Adaptive Learning in Higher Education. ArXiv, abs/2309.10892. 2023. https://doi.org/10.48550/arXiv.2309.10892.
[15]David, B., Chalon, R., Zhang, B., & Yin, C. Design of a Collaborative Learning Environment integrating Emotions and Virtual Assistants (Chatbots). 2019 IEEE 23rd International Conference on Computer Supported Cooperative Work in Design (CSCWD), 51-56, 2019. https://doi.org/10.1109/CSCWD.2019.8791893
[16]Tlili, A., Shehata, B., Adarkwah, M.A., Bozkurt, A., Hickey, D.T., Huang, R., & Agyemang, B. What if the devil is my guardian angel: ChatGPT as a case study of using chatbots in education. Smart Learning Environments, 10, 1-24, 2023. https://doi.org/10.1186/s40561-023-00237-x.
[17]Jacob, A., Mata, E., Santana, A., Francês, C., Costa, J., Hirata, C., & Barros, F. Adaptation of interaction with chatterbots for use in the education of children. IADIS Multi conference on Computer Science and Information Systems 2012. https://doi.org/10.4018/978-1-4666-4623-0.ch021
[18]Ammar, M. B., Neji, M., & Alimi, A. M. Emotional multiagents system for peer to peer e-learning (EMASPEL). In Proceedings of the 5th WSEAS International Conference on Distance Learning and Web Engineering table of contents,164-170, 2005. https://www.researchgate.net/publication/242080562_Emotional_Multi-Agents_System_for_Peer_to_peer_E-Learning_EMASPEL.
[19]Lee, T., Chang, C., & Chen, G. Building an Interactive Caring Agent for Students in Computer-based Learning Environments. Seventh IEEE International Conference on Advanced Learning Technologies (ICALT 2007), 300-304, 2007. https://doi.org/10.1109/ICALT.2007.87.
[20]Schouten, D.G., Venneker, F., Bosse, T., Neerincx, M.A., & Cremers, A.H. A Digital Coach That Provides Affective and Social Learning Support to Low-Literate Learners. IEEE Transactions on Learning Technologies, 11, 67-80, 2018. https://doi.org/10.1109/TLT.2017.2698471
[21]Samyn, K. 3D Chatbot in higher education, helping students with procrastination and study planning problems. EDULEARN19 Proceedings, 2019. https://doi.org/10.21125/edulearn.2019.2336.
[22]Feidakis, M., Kasnesis, P., Giatraki, E., Giannousis, C., Patrikakis, C.Z., & Monachelis, P. Building Pedagogical Conversational Agents, Affectively Correct. International Conference on Computer Supported Education, 100 -107, 2019. https://doi.org/10.5220/0007771001000107
[23]Cobos-Guzman, S., Nuere, S., Miguel, L.D., & König, C. Design of a Virtual Assistant to Improve Interaction Between the Audience and the Presenter. Int. J. Interact. Multim. Artif. Intell., 7, 232. 2021. https://doi.org/10.9781/ijimai.2021.08.017
[24]Tsukanov, A. V., & Rusina, N. A. Application of Chatbot Technology in the study of the discipline quality Management. CEUR Workshop Proceedings, 2914, 273–283, 2021. https://ceur-ws.org/Vol-2914/paper23.pdf.
[25]Fraoua, K., Leblanc, J. M., & David, A. Use of an emotional chatbot for the analysis of a discussion forum for the improvement of an e-learning platform. Interacción, 25–35, 2020. https://doi.org/10.1007/978-3-030-50506-6_3
[26]Suddul, G., Lillmond, C., & Armoogum, S. A Smart Virtual Tutor with Facial Emotion Recognition for Online Learning. 2022 IEEE Zooming Innovation in Consumer Technologies Conference (ZINC), 67-72, 2022. https://doi.org/10.1109/ZINC55034.2022.9840683.
[27]Friesen, E., & Ekman, P. Facial action coding system: a technique for the measurement of facial movement. Palo Alto, 3(2), 5, 1978. https://www.scirp.org/reference/referencespapers?referenceid=3274392.
[28]Rokaya, A., Md Touhidul Islam, S., Zhang, H., Sun, L., Zhu, M., & Zhao, L. Acceptance of Chatbot based on Emotional Intelligence through Machine Learning Algorithm. 2022 2nd International Conference on Frontiers of Electronics, Information and Computation Technologies (ICFEICT), 610-616, 2022. https://doi.org/10.1109/ICFEICT57213.2022.00111.
[29]Bopage, H., & Weerakoon, C. Mind Relaxation Chatbot for University Students by Using Dense Neural Network. 2021 5th SLAAI International Conference on Artificial Intelligence (SLAAI-ICAI), 1-6, 2021. https://doi.org/10.1109/SLAAI-ICAI54477.2021.9664678.
[30]Moussa, M.B., Kasap, Z., Magnenat-Thalmann, N., Chandramouli, K., Mirza, S.N., Zhang, Q., Izquierdo, E., Biperis, I., & Daras, P. Towards an expressive virtual tutor: an implementation of a virtual tutor based on an empirical study of non-verbal behaviour. SMVC '10, 39-44, 2010. https://doi.org/10.1145/1878083.1878096.
[31]Soysal, Ö.M., Shirzad, S., & Sekeroglu, K. Facial Action Unit Recognition Using Data Mining Integrated Deep Learning. 2017 International Conference on Computational Science and Computational Intelligence (CSCI), 437-443, 2017. https://doi.org/10.1109/CSCI.2017.74