ABSTRACT
Over a previous couple of years, Distance learning has successfully overcome the shortcomings of traditional methods of teaching and learning, likewise increases student interaction and diversities of opinion, online instructors could also be from any location across the world. So students have the chance to settle on a learning strategy most suited to their abilities, while education is streamlined to satisfy the requirements of the individual in question. Due to the on-going technological change, we are witnessing, Robots are getting an integral component of our society and have great potential in being utilized as an academic technology by providing students with a highly interactive and hands-on learning experience. Indeed, Robotics promises to inspire a replacement generation of learning. With the aim of understanding how students can use robots to review, we created and implemented a learning scenario through an ontological conceptual Model for Personalized Learning supported Educational Robots. This model enables us to supply inferences over learning data and supply personalized learning resources, adapted to the progress of the scholar within the learning process.
- Tracy Newvine, Maureen Hannay.2016. Perceptions of distance learning : A Comparison of Online and Traditional learning. Merlot Journal of Online Learning and Teaching.Vol. 2/ No. 1 / March 2006Google Scholar
- Perry, E.H.& Pilati, M.L. 2011,Online Learning. New Directions for Teaching and Learning, 128, 95-104. Retrieved September 18, 2020. DOI: http://www.learntechlib.org/p/110696.Google ScholarCross Ref
- Gros, B., & García-Peñalvo, F. J. (2016). Future trends in the design strategies and technological affordances of e-learning. In M. Spector, B. B. Lockee, & M. D. Childress (Eds.), Learning, Design, and Technology. An International Compendium of Theory, Research, Practice, and Policy (pp. 1-23). Switzerland: Springer International Publishing. DOI :10.1007/978-3-319-17727-4_67-1.Google ScholarCross Ref
- Van Harmelen, M. 2006. Personal Learning Environments. Paper presented at the Sixth International Conference on Advanced Learning Technologies (ICALT'06).Google Scholar
- Tang, T.Y. , & Mc Calla, G , 2003.Smart Recommendation for an evolving e-learning System. In workshop on Technologies for Electronic Documents for Supporting Learning,International Conference on Artificial Intelligence in Education (AIED 2003) .Google Scholar
- Federica Minichiello, The development of robotics in schools, Revue Internationale d'Education de Sèvres, 75 | 2017, 11-14. DOI: https://doi.org/10.4000/ries.5864Google Scholar
- I. Gaudiello 1, E. Zibetti,2013, Educational robotics: Survey and perspectives , cognition humaine et artificielle,v58, March 2013, Pages 17-40. DOI : https://doi.org/10.1016/j.psfr.2012.09.006Google Scholar
- Gaudiello, I., Zibetti, E., & Pinaud, C. A. 2012. Control heuristics for educational robots: a pilot study. In Proceedings of 3rd International workshop teaching robotics, teaching with robotics. Integrating robotics in school curriculum Riva del Garda, Trento,Italy,April20,(pp.67–75). DOI: http://www.terecop.eu/TRTWR2012/proceedings.htmGoogle Scholar
- Mubin, O., Stevens, C. J., Shahid, S., Al Mahmud, A., & Dong, J. J. 2013. A review of the applicability of robots in education. Journal of Technology in Education and Learning, 1(209-0015), 13.Google ScholarCross Ref
- Andruseac, G. G., &Iacob, R, 2013. Exploring the potential of using educational robotics as an effective tool to support collaborative learning. In 2013 E-Health and BioengineeringConference (EHB) (pp. 1-4). IEEE.Google Scholar
- Veletsianos, G., & Shoop, E. 2002. Recommender systems and personalization techniques. Technical report, CS 50: Internet Programming.Google Scholar
- Tang, T. Y., &McCalla, G.2003. Smart Recommendation for an evolving e-Learning System. In Workshop on Technologies for Electronic Documents for Supporting Learning, International Conference on Artificial Intelligence in Education (pp. 699-710).Google Scholar
- Lim, G.H, Hong, S.W, Lee, I.Suh, I.H, & Beetz, M.2013.Robot recommender system using affection-based episode ontology for personalization. In2013 IEEE RO-MAN (pp. 155-160). IEEE.Google Scholar
- C. M., Lee, H. M., Chen, Y. H. Personalized E-Learning System Using Item Response Theory. Computers and Education 44(3), pp. 237–255 (2005).Google Scholar
- Sandvig, J., Burke, R. AACORN: A CBR Recommender for Academic Advising. Technical Report TR05-015, DePaul University, Chicago, USA (2006)Google Scholar
- P. Course Recommender. Senior Thesis, Princeton University (2003).Google Scholar
- Cristian Ferrada-Ferrada, Javier Carrillo-Rosúa, Danilo Díaz-Levicoy, and Francisco Silva-Díaz , 2020. Robotics from STEM areas in Primary School : A Systematic Review. Education In The Knowledge Society 21. DOI:10.14201/eks.22036.Google Scholar
- C. Fernández-Llamas, M. Á. Conde-González, F. J. Rodríguez-Lera, F. J. Rodríguez-Sedano, and F. J. García-Peñalvo. 2018. May I teach you? Students' behavior when lectured by robotic vs. human teachers. Computers in Human Behavior 80, 460-469. DOI:10.1016/j.chb.2017.09.028.Google ScholarDigital Library
- M. Á. Conde, F. J. Rodríguez Sedano, C. Fernández-Llamas, J. Gonçalves, J. Lima, and F. J. García-Peñalvo. 2020. RoboSTEAM Project Systematic Mapping: Challenge Based Learning and Robotics. In 2020 IEEE Global Engineering Education Conference, (27-30 April 2020, Porto, Portugal) IEEE, USA, 214-221. DOI:10.1109/EDUCON45650.2020.9125103.Google Scholar
- Nuria Aris, Lara Orcos.2019.Educational Robotics in the Stage of Secondary Education: Empirical Study on Motivation and STEM Skills. Open Access JournalEducation Sciences. (ISSN 2227-7102) .Google Scholar
- Romero, M., & Dupont, Y. 2016. Educational robotics: from procedural learning to co-creative project oriented challenges with LEGO WeDo. In 8th Conference on Education and New Learning Technology, Barcelona.Google ScholarCross Ref
- A Conceptual Model for Personalized Learning based on Educational Robots
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