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A hybrid training framework oriented to computer engineering educators

Published: 01 October 2015 Publication History

Abstract

This work presents the successful realization of a versatile blended learning model oriented to computer engineering and computer science educators. The training course potentially enables educators to immerse in real world situation (i.e., school computer lab, synchronous and asynchronous e-learning etc). Long-term statistical results based on electronic questionnaire surveys are presented. Furthermore, critical hints that potential drive the evolution of the blended learning model as a multi training framework for state of the art technologies with considerable education impact, are briefly discussed.

References

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Angelopoulos, P., Paraskevas, M., Perikos, I. and Zarouchas, T. A Highly Motivated Blended Learning Model Oriented to Computer Engineering Educators. In Proceedings of the 9th International Conference on Computer Science and Education (ICCSE 2014), August 22-24, Vancouver, Canada.
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Garrison, D. R., Kanuka, H. Blended Learning: Uncovering its Transformative Potential in Higher Education. The Internet and Higher Education, Vol. 7(2), pp. 95--105, 2004.
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Jain, A. K. Data clustering: 50 years beyond K-means. Pattern Recognition Letters, 31(8), 651--666, 2010.
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Kalochristianakis, M., Paraskevas, M., Varvarigos, E. and Xypolitos, N. The Greek School Network, a paradigm of successful educational services maturing based on open source technology. IEEE Transactions on Education, vol. 50, issue 4, pp. 321--330.
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Lopez, M. I., Luna, J. M., Romero, C., Ventura, S. Classification via Clustering for Predicting Final Marks Based on Student Participation in Forums. International Educational Data Mining Society, 2012.
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Mitchell, T. M. Machine Learning, McGraw-Hill Higher Education, 1997.
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Paraskevas, M., Zarouchas, T., Angelopoulos, P. and Perikos, I. Towards to a Versatile Tele-Education Platform for Computer Science Educators Based on the Greek School Network. In Proceedings of the 7th IADIS Multi Conference on Computer Science and Information Systems (MCCSIS 2013), July 22-26, Prague, Czech Republic.
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Perikos, I. Angelopoulos, P., Paraskevas, M., Zarouchas, T., Tzimas, G. A Methodology for Evaluation and Knowledge Extraction from On-Going Learning Process. In Proceedings of the 17th IEEE International Conference on Computational Science and Engineering (CSE 2014), December 19-21, Chengdu, China.
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Cited By

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  • (2019)Examining the Impact of Discretization Technique on Sentiment Analysis for the Greek Language2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)10.1109/IISA.2019.8900699(1-6)Online publication date: Jul-2019
  • (2018)Evaluation of an Educational Training Platform Using Text MiningProceedings of the 10th Hellenic Conference on Artificial Intelligence10.1145/3200947.3201049(1-5)Online publication date: 9-Jul-2018
  • (2017)Examining the Impact of Feature Selection on Sentiment Analysis for the Greek LanguageSpeech and Computer10.1007/978-3-319-66429-3_34(353-361)Online publication date: 13-Aug-2017
  • Show More Cited By

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Published In

cover image ACM Other conferences
PCI '15: Proceedings of the 19th Panhellenic Conference on Informatics
October 2015
438 pages
ISBN:9781450335515
DOI:10.1145/2801948
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 01 October 2015

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Author Tags

  1. blended learning
  2. computer science educators
  3. electronic questionnaire survey (EQS)
  4. greek school network (GSN)
  5. hybrid educational platform (HEP)

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  • Research-article

Funding Sources

  • National Funds and European Social Fund (ESF), under the Hellenic National Strategic Reference Framework (NSRF) 2007-2013

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PCI '15

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PCI '15 Paper Acceptance Rate 64 of 148 submissions, 43%;
Overall Acceptance Rate 190 of 390 submissions, 49%

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Cited By

View all
  • (2019)Examining the Impact of Discretization Technique on Sentiment Analysis for the Greek Language2019 10th International Conference on Information, Intelligence, Systems and Applications (IISA)10.1109/IISA.2019.8900699(1-6)Online publication date: Jul-2019
  • (2018)Evaluation of an Educational Training Platform Using Text MiningProceedings of the 10th Hellenic Conference on Artificial Intelligence10.1145/3200947.3201049(1-5)Online publication date: 9-Jul-2018
  • (2017)Examining the Impact of Feature Selection on Sentiment Analysis for the Greek LanguageSpeech and Computer10.1007/978-3-319-66429-3_34(353-361)Online publication date: 13-Aug-2017
  • (2016)Automated hand gesture recognition for educational applicationsProceedings of the 20th Pan-Hellenic Conference on Informatics10.1145/3003733.3003746(1-6)Online publication date: 10-Nov-2016

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