research-article

Transition to a Modern Education System through e-Learning

Authors:

Xabier Basogain,

Miguel Ángel Olabe,

Juan Carlos OlabeAuthors Info & Claims

ICEEL '17: Proceedings of the 2017 International Conference on Education and E-Learning

Pages 41 - 46

https://doi.org/10.1145/3160908.3160924

Published: 02 November 2017 Publication History

Abstract

All around the world, governments are using international benchmarking of education systems as the method to identify the top performing countries. After the world best education systems have been identified, they are used as models for the rest of the countries. This procedure has an obvious limitation: if the rankings are obtained assessing content and methods already established, these are perpetuated. New curriculum and methodologies are difficult to integrate into existing education systems. Research in the last two decades has shown the limitations of the current education systems and the need to incorporate new paradigms. However, the current method that the governments use to design their education systems makes the adoption of radically new paradigms a highly risky proposition. This paper reviews the limitations of the current education systems, in particular in the area of mathematics. It discusses a set of fundamental changes in curriculum and teaching methodology. Finally, it reviews the role of e-learning as an integral part of the transition from traditional education systems to modern systems.

References

[1]

Bälter, O., Enström, E. & Klingenberg, B. 2013. The effect of short formative diagnostic web quizzes with minimal feedback. Comput. Educ. 60, 1 (January 2013), 234--242.

Digital Library

[2]

Basogain, X., Olabe, J.C., Olabe, M.A. and Rico, M. 2017. Computational Thinking in Pre-University Blended Learning Classrooms. Computers in Human Behavior.

Digital Library

[3]

Common Core State Standards. 2009. Common Core State Standards Initiative Development Process. http://www.corestandards.org/about-the-standards/development-process/

[4]

Conley, D. 2014. (Common Core State Standards Validation Committee Co-Chair). The Common Core State Standards: Insight into Their Development and Purpose. http://www.ccsso.org/Documents/2014/CCSS_Insight_Into_Development_2014.pdf

[5]

Coursera. 2017. Take the World's Best Courses, Online. https://www.coursera.org/

[6]

De Groot, A. D. 1978. Thought and choice in chess (Vol. 4). Walter de Gruyter GmbH & Co KG

[7]

edX. 2017. Free Online Courses. Advance Your Career. Improve Your Life. https://www.edx.org/

[8]

Giacomo, F., Fishbein, B. and Buckley, V. 2013. International Comparative Assessments: Broadening the Interpretability, Application and Relevance to the United States. https://research.collegeboard.org/sites/default/files/publications/2013/6/researchinreview-2012-5-international-comparative-assessments.pdf

[9]

Jerald, C. D. 2008. Benchmarking for Success: Ensuring US Students Receive a World-Class Education. National Governors Association. http://www.corestandards.org/assets/0812BENCHMARKING

[10]

Kahneman, D. 2011. Thinking, fast and slow. Macmillan

[11]

National Governors Association Center for Best Practices, Council of Chief State School Officers. 2010. Common Core State Standards Initiative (CCSSI). http://www.corestandards.org/

[12]

Norton, J. D. 2014. Invariance of Galileo's Law of Fall under a Change of the Unit of Time. http://www.pit.edu/~jdnorton/papers/Galileo_fall_induction.pdf

[13]

OECD (2009). Take the Test, sample Questions from OECD's PISA Assessments. OECD 2009. https://www.oecd.org/pisa/pisaproducts/Take%20the%20test%20e%20book.pdf

[14]

OECD. 2014. PISA 2012 Results in Focus: What 15-year-olds know and what they can do with what they know. https://www.oecd.org/pisa/keyfindings/pisa-2012-results-overview.pdf

[15]

OECD. 2016. PISA 2015 Results in Focus. https://www.oecd.org/pisa/pisa-2015-results-in-focus.pdf

[16]

Olabe, J., Basogain, X., Olabe, M.A., Maíz, I. and Castaño, C. 2014. Solving Math and Science Problems in the Real World with a Computational Mind. Journal of New Approaches in Educational Research, vol.3 no. 2, pp. 75--82, July 2014.

[17]

Raven, J. C. 1962. Advanced Progressive Matrices, Set II. London: H. K. Lewis.

[18]

Shen, C. 2012. Sebastian Thrun: Learn. Think. Do. That's the Udacity experiment. http://blog.udacity.com/2012/09/sebastian-thrun-learn-think-do-thats.html

[19]

Smith, M. et al. 2009. Why peer discussion improves student performance on in-class concept questions. Science, vol. 323 no. 5910, pp. 122--124, January 2009.

[20]

Taylor, K. & Rohrer, D. 2010. The effects of interleaved practice. Appl. Cognit. Psychol., 24: 837--848.

[21]

Winograd, T., & Flores, F. 1986. Understanding computers and cognition: A new foundation for design. Intellect Books

Digital Library

Cited By

Patel HPrasad Vemuri VKaur JKumar GTejpal Moharekar TKalyan Chakravarthi M(2023)Enhancing Student Support and Engagement with Natural Language Processing in Academic Chatbot's2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)10.1109/UPCON59197.2023.10434637(354-358)Online publication date: 1-Dec-2023
https://doi.org/10.1109/UPCON59197.2023.10434637
Hsieh RYamamura KCho SSato H(2021)Free to Select Digital Avatar vs. Predetermined Digital Avatar in eLearning System A Comparison between Student Reaction in Two Models2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)10.1109/AIVR52153.2021.00059(258-266)Online publication date: Nov-2021
https://doi.org/10.1109/AIVR52153.2021.00059
Hsieh RSato H(2020)Evaluation of avatar and voice transform in programming e-learning lecturesJournal on Multimodal User Interfaces10.1007/s12193-020-00349-515:2(121-129)Online publication date: 26-Oct-2020
https://doi.org/10.1007/s12193-020-00349-5
Show More Cited By

Index Terms

Transition to a Modern Education System through e-Learning
1. Computing methodologies
  1. Artificial intelligence
    1. Philosophical/theoretical foundations of artificial intelligence
      1. Cognitive science

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ICEEL '17: Proceedings of the 2017 International Conference on Education and E-Learning

November 2017

90 pages

ISBN:9781450353779

DOI:10.1145/3160908

Copyright © 2017 ACM.

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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Published: 02 November 2017

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ICEEL 2017

ICEEL 2017: 2017 International Conference on Education and E-Learning

November 2 - 4, 2017

Bangkok, Thailand

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Cited By

Patel HPrasad Vemuri VKaur JKumar GTejpal Moharekar TKalyan Chakravarthi M(2023)Enhancing Student Support and Engagement with Natural Language Processing in Academic Chatbot's2023 10th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON)10.1109/UPCON59197.2023.10434637(354-358)Online publication date: 1-Dec-2023
https://doi.org/10.1109/UPCON59197.2023.10434637
Hsieh RYamamura KCho SSato H(2021)Free to Select Digital Avatar vs. Predetermined Digital Avatar in eLearning System A Comparison between Student Reaction in Two Models2021 IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR)10.1109/AIVR52153.2021.00059(258-266)Online publication date: Nov-2021
https://doi.org/10.1109/AIVR52153.2021.00059
Hsieh RSato H(2020)Evaluation of avatar and voice transform in programming e-learning lecturesJournal on Multimodal User Interfaces10.1007/s12193-020-00349-515:2(121-129)Online publication date: 26-Oct-2020
https://doi.org/10.1007/s12193-020-00349-5
Mendoza SHernández-León MSánchez-Adame LRodríguez JDecouchant DMeneses-Viveros A(2020)Supporting Student-Teacher Interaction Through a ChatbotLearning and Collaboration Technologies. Human and Technology Ecosystems10.1007/978-3-030-50506-6_8(93-107)Online publication date: 19-Jul-2020
https://dl.acm.org/doi/10.1007/978-3-030-50506-6_8
Rooein D(2019)Data-Driven Edu ChatbotsCompanion Proceedings of The 2019 World Wide Web Conference10.1145/3308560.3314191(46-49)Online publication date: 13-May-2019
https://dl.acm.org/doi/10.1145/3308560.3314191
Hsieh RShirai ASato H(2019)Effectiveness of facial animated avatar and voice transformer in elearning programming courseACM SIGGRAPH 2019 Posters10.1145/3306214.3338540(1-2)Online publication date: 28-Jul-2019
https://dl.acm.org/doi/10.1145/3306214.3338540
Olabe JBasogain XOlabe M(2018)Curricular and Learning Strategies for the Successful Implementation of STEM Education in Primary and Secondary SchoolsProceedings of the 2018 2nd International Conference on Education and E-Learning10.1145/3291078.3291095(169-175)Online publication date: 5-Nov-2018
https://dl.acm.org/doi/10.1145/3291078.3291095
Clarizia FColace FLombardi MPascale FSantaniello D(2018)Chatbot: An Education Support System for StudentCyberspace Safety and Security10.1007/978-3-030-01689-0_23(291-302)Online publication date: 23-Sep-2018
https://doi.org/10.1007/978-3-030-01689-0_23

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