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Enhancing Student Support with a Virtual Assistant

  • Pirkko H. Harvey
  • Edward CurrieEmail author
  • Padma Daryanani
  • Juan C. Augusto
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 160)

Abstract

Effective student support can be seen as a key element in enhancing students’ learning experience and has the potential to improve retention, progression and student achievement. The purpose of this research was to investigate student responses to the idea of using an avatar-based virtual support system and to develop such a system for piloting in a specific university service. A survey was conducted to establish the perceived need for such a system. A prototype system was then implemented in a limited domain, namely student employability and a further survey was conducted to obtain feedback from potential users as to its efficacy. This was generally positive and our intention is now to roll out the system across other university services.

Keywords

Virtual support Avatar Rule-based system 

Notes

Acknowledgments

This project has benefitted from funding by the School of Science and Technology at Middlesex University. We would also like to thank Mohammed Mirza, of the Middlesex University employability service, for his valuable input and collaboration and Graduate Academic Assistants Rabia Arif and Almaas Ali for their help with the implementation of the prototype.

References

  1. 1.
    Lee, S.J., Srinivasan, S., Trail, T., Lewis, D., Lopez, S.: Examining the relationship among student perception of support, course satisfaction and learning outcomes in online learning. Internet High. Educ. 14, 158–163 (2011)CrossRefGoogle Scholar
  2. 2.
    Smailes, J., Gannon-Leary, P.: Peer mentoring – is a virtual form of support a viable alternative? Res. Learn. Technol. 19(2), 129–142 (2011)CrossRefGoogle Scholar
  3. 3.
    Eisman, E.M., Lopez, V., Castro, J.L.: A framework for designing closed domain virtual assistants. Expert Syst. Appl. 39, 3135–3144 (2012)CrossRefGoogle Scholar
  4. 4.
    Ramos, C., Augusto, J.C., Shapiro, D.: Ambient intelligence the next step for artificial intelligence. IEEE Intell. Syst. 23(2), 15–18 (2008)CrossRefGoogle Scholar
  5. 5.
    Augusto, J.C., McNair, V., McCullagh, P., McRoberts, A.: Scoping the potential for anytime-anywhere support through virtual mentors. ITALICS 9(2), 1-12 (2010). ISSN: 1473–7507Google Scholar
  6. 6.
    Pilato, G., Pirrone, R., Rizzo, R.: A KST-system for student tutoring. Appl. Artif. Intell. 22(4), 283–308 (2008)CrossRefGoogle Scholar
  7. 7.
    Dang, Q., Wang, T., Pan, P.: An Intelligent agent to assist student learning introductory programming. In: Higher Education Academy (HEA) STEM (Computing) Learning Technologies Workshop (2013). www.new1.heacademy.ac.uk/assets/documents
  8. 8.
    Kim, Y., Sundar, S.S.: Visualizing ideal self vs. actual self through avatars: impact on preventive health outcomes. Comput. Hum. Behav. 28(4), 1356–1364 (2012)CrossRefGoogle Scholar
  9. 9.
    Mazlan, M.N.A., Bird, L.: Does an avatar motivate? In: 41st ASEE/IEEE Frontiers in Education Conference. Rapid City 12–15 October 2011Google Scholar
  10. 10.
    Peña, J., Kim, E.: Increasing exergame physical activity through self and opponent avatar appearance. Comput. Hum. Behav. 41, 262–267 (2014)CrossRefGoogle Scholar
  11. 11.
    von der Putten, A.M., Kramer, N.C., Gratch, J., Kang, S.H.: “It does not matter what you are!” Explaining social effects of agents and avatars. Comput. Hum. Behav. 26, 1641–1650 (2010)CrossRefGoogle Scholar
  12. 12.
    Hill, J., Ford, W.R., Farrera, I.G.: Real conversations with artificial intelligence: a comparison between human-human online conversations and human-chatbot. Comput. Hum. Behav. 49, 245–250 (2015)CrossRefGoogle Scholar
  13. 13.
    Cafaro, A., Vilhjálmsson, H.H., Bickmore, T., Heylen, D., Jóhannsdóttir, K.R., Valgarðsson, G.S.: First impressions: users’ judgments of virtual agents’ personality and interpersonal attitude in first encounters. In: Nakano, Y., Neff, M., Paiva, A., Walker, M. (eds.) IVA 2012. LNCS, vol. 7502, pp. 67–80. Springer, Heidelberg (2012)CrossRefGoogle Scholar
  14. 14.
    Baylor, A.I.: The design of motivational agents and avatars. Educ. Technol. Res. Dev. 59, 291–300 (2011)CrossRefGoogle Scholar
  15. 15.
    Schiaffino, S., Amandi, A.: Polite personal agents. Agent and the web. IEEE Intell. Syst. 21(1), 12–19 (2006). http://www.computer.org/intelligent CrossRefGoogle Scholar
  16. 16.
    Cassell, J.: More than just another pretty face: embodied conversational interface agents. Commun. ACM 43, 70–78 (2000)CrossRefGoogle Scholar
  17. 17.
    James-Reynolds, C., Currie, E.: Smart feedback and the challenges of virtualisation. EAI Endorsed Trans. Future Intell. Educ. Environ. 1(2), e6 (2015)Google Scholar
  18. 18.
    Lee, S., Carlson, G., Jones, S., Johnson, A., Leigh, J., Renambot, L.: Designing an expressive avatar of a real person. In: Safonova, A. (ed.) IVA 2010. LNCS, vol. 6356, pp. 64–76. Springer, Heidelberg (2010)CrossRefGoogle Scholar

Copyright information

© Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2016

Authors and Affiliations

  • Pirkko H. Harvey
    • 1
  • Edward Currie
    • 1
    Email author
  • Padma Daryanani
    • 1
  • Juan C. Augusto
    • 1
  1. 1.Research Group on Development of Intelligent Environments, School of Science and TechnologyMiddlesex UniversityLondonUK

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