LearneA - Design and Functionalities of a Hybrid Personalized Learning Electronic Assistant

Nikolaos Mallios, Michael Vassilakopoulos

Abstract

Throughout the last decade a number of Personalized Learning Environments have been proposed encompassing various personalization techniques, in order to provide learning material adapted to the specified user’s requirements. In this study, we illustrate the design and enumerate the basic functionalities of LearneA, a Hybrid Personalized Learning Electronic Assistant. LearneA practically revisits the way other existing personalized environments implement the various proposed personalization mechanisms, but furthermore incorporates a number of innovative characteristics, which have not been implemented yet in any other learning environment. Our aim is a smart Hybrid Personalized Learning Assistant which will eventually offer a completely different learning experience. Additionally, a review of previously proposed Learning Environments is presented with respect to the personalization techniques which they embrace in order to provide personalized learning content for the user.

References

  1. Adomavicius, G., & Tuzhilin, A. (2005). Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions. Knowledge and Data Engineering, IEEE Transactions on, 17(6), 734-749.
  2. Aron, J. (2011). How innovative is Apple's new voice assistant, Siri?. New Scientist, 212(2836), 24.
  3. Chen, C. C., & Huang, T. C. (2012). Learning in a uMuseum: Developing a context-aware ubiquitous learning environment. Computers & Education, 59(3), 873-883.
  4. Chen, C. M., Lee, H. M., & Chen, Y. H. (2005). Personalized e-learning system using item response theory. Computers & Education, 44(3), 237-255.
  5. Dolog, P., Henze, N., Nejdl, W., & Sintek, M. (2004, May). Personalization in distributed e-learning environments. In Proceedings of the 13th int. World Wide Web Conf. on Alternate track papers & posters (pp. 170-179). ACM.
  6. Dung, P. Q., & Florea, A. M. (2012, May). An approach for detecting learning styles in learning management systems based on learners' behaviours. In Int. Conf. on Education and Management Innovation (pp. 171-177).
  7. Garrison, D. R. (2011). E-learning in the 21st century: A framework for research and practice. Taylor & Francis.
  8. Gladun, A., Rogushina, J., Garci, F., Martínez-Béjar, R., & Fernández-Breis, J. T. (2009). An application of intelligent techniques and semantic web technologies in e-learning environments. Expert Systems with Applications, 36(2), 1922-1931.
  9. Hsieh, S. W., Jang, Y. R., Hwang, G. J., & Chen, N. S. (2011). Effects of teaching and learning styles on students' reflection levels for ubiquitous learning. Computers & Education, 57(1), 1194-1201.
  10. Huang, M. J., Huang, H. S., & Chen, M. Y. (2007). Constructing a personalized e-learning system based on genetic algorithm and case-based reasoning approach. Expert Systems with Applications, 33(3), 551-564.
  11. Koutrika, G., & Ioannidis, Y. (2004, March). Personalization of queries in database systems. In Data Engineering, 2004. Proceedings. 20th Int. Conf. on (pp. 597-608). IEEE.
  12. Khrib, M. K., Jemn, M., & Nasraoui, O. (2008, July). Automatic recommendations for e-learning personalization based on web usage mining techniques and information retrieval. In Advanced Learning Technologies, 2008. ICALT'08. 8th IEEE Int. Conf. on (pp. 241-245). IEEE.
  13. Mohammed, N. U., Duong, T. H., & Jo, G. S. (2010). Contextual information search based on ontological user profile. In Computational collective intelligence. Technologies and applications (pp. 490-500). Springer Berlin Heidelberg.
  14. Paneva, D., Monova-Zheleva, M., & Zhelev, Y. (2006, April). Approaches and solutions for personalization in elearning systems. In proc. of the Third HUBUSKA <http://www. hubuska. com/> Open Workshop “Methods and Tools for Development of Semanticenabled Systems and Services for Multimedia Content, Interoperability and Reusability (pp. 27-28).
  15. Shishehchi, S., Banihashem, S. Y., & Zin, N. A. M. (2010, June). A proposed semantic recommendation system for e-learning: A rule and ontology based e-learning recommendation system. In Information Technology (ITSim), 2010 Int. Symposium in (Vol. 1, pp. 1-5). IEEE.
  16. Sieg, A., Mobasher, B., & Burke, R. D. (2007). Learning Ontology-Based User Profiles: A Semantic Approach to Personalized Web Search. IEEE Intelligent Informatics Bulletin, 8(1), 7-18.
  17. Wang, T. I., Tsai, K. H., Lee, M. C., & Chiu, T. K. (2007). Personalized learning objects recommendation based on the semantic-aware discovery and the learner preference pattern. Journal of Educ. Technology & Society, 10(3), 84-105.
  18. Wang, S. L., & Wu, C. Y. (2011). Application of contextaware and personalized recommendation to implement an adaptive ubiquitous learning system. Expert Systems with applications, 38(9), 10831-10838.
  19. Warren, T. (2014). The Story of Cortana, Microsoft's Siri Killer. Retrieved 5/20/2014, from http://www. theverge. com/2014/4/2/5570866/cortana-windowsphone-8-1-digital-assistant.
  20. Yaghmaie, M., & Bahreininejad, A. (2011). A contextaware adaptive learning system using agents. Expert Systems with Applications, 38(4), 3280-3286.
  21. Yang, S. J. (2006). Context aware ubiquitous learning environments for peer-to-peer collaborative learning. Journal of Educational Technology & Society, 9(1), 188-201.
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Paper Citation


in Harvard Style

Mallios N. and Vassilakopoulos M. (2016). LearneA - Design and Functionalities of a Hybrid Personalized Learning Electronic Assistant . In Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS, ISBN 978-989-758-187-8, pages 339-344. DOI: 10.5220/0005915503390344


in Bibtex Style

@conference{iceis16,
author={Nikolaos Mallios and Michael Vassilakopoulos},
title={LearneA - Design and Functionalities of a Hybrid Personalized Learning Electronic Assistant},
booktitle={Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,},
year={2016},
pages={339-344},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005915503390344},
isbn={978-989-758-187-8},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 18th International Conference on Enterprise Information Systems - Volume 2: ICEIS,
TI - LearneA - Design and Functionalities of a Hybrid Personalized Learning Electronic Assistant
SN - 978-989-758-187-8
AU - Mallios N.
AU - Vassilakopoulos M.
PY - 2016
SP - 339
EP - 344
DO - 10.5220/0005915503390344