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Technology-mediated personalised learning for younger learners: concepts, design, methods and practice

Published: 21 July 2020 Publication History

Abstract

Children differ in various aspects such as prior knowledge, learning pace, socio-economic status, interests etc. It has been argued that when we take these differences into account when we develop learning environments, children will benefit from it in terms of learning outcomes, learning experience, and attitudes towards particular subjects. The emergence of digital technologies has accelerated the movement to create personalised learning environments. Although technology-mediated personalised learning is promising, several challenges remain such as how personalised learning should be conceptualized, which methods should be used to establish the effects and how this movement impacts education and especially children and teachers. This workshop aims to bring together researchers and practitioners who have done work in this field to facilitate in-depth discussions, resource exchange and networking on technology-mediated personalised learning.

References

[1]
All, A., Castellar, E. P. N., & Van Looy, J. (2015). Towards a conceptual framework for assessing the effectiveness of digital game-based learning. Computers & Education, 88, 29--37.
[2]
Aunola, K., Leskinen, E., Lerkkanen, M. K., & Nurmi, J. E. (2004). Developmental dynamics of math performance from preschool to grade 2. Journal of educational psychology, 96(4), 699.
[3]
Baker, R.S. (2016). Stupid Tutoring Systems, Intelligent Humans. International Journal of Artificial Intelligence in Education 26(2), 600--614.
[4]
Bailey, D. H., Nguyen, T., Jenkins, J. M., Domina, T., Clements, D. H., & Sarama, J. S. (2016). Fadeout in an early mathematics intervention: Constraining content or preexisting differences? Developmental Psychology, 52(9), 1457--1469.
[5]
Basham, J. D., Hall, T. E., Carter Jr, R. A., & Stahl, W. M. (2016). An operationalized understanding of personalised learning. Journal of Special Education Technology, 31(3), 126--136.
[6]
Bingham, A. J., Pane, J. F., Steiner, E. D., & Hamilton, L. S. (2018). Ahead of the curve: Implementation challenges in personalised learning school models. Educational Policy, 32(3), 454--489.
[7]
Conlon, T. and Pain, H. (1996). Persistent collaboration: a methodology for applied AIED. International Journal of Artificial Intelligence in Education, 7, 219--252.
[8]
Deunk, M. I., Smale-Jacobse, A. E., de Boer, H., Doolaard, S., & Bosker, R. J. (2018). Effective differentiation practices: A systematic review and meta-analysis of studies on the cognitive effects of differentiation practices in primary education. Educational Research Review, 24, 31--54.
[9]
Duncan, G. J., Dowsett, C. J., Claessens, A., Magnuson, K., Huston, A. C., Klebanov, P., ... & Sexton, H. (2007). School readiness and later achievement. Developmental psychology, 43(6), 1428.
[10]
FitzGerald, E., Jones, A., Kucirkova, N., & Scanlon, E. (2018). A literature synthesis of personalised technology-enhanced learning: what works and why. Research in Learning Technology, 26.
[11]
FitzGerald, E., Kucirkova, N., Jones, A., Cross, S., Ferguson, R., Herodotou, C., ... & Scanlon, E. (2018). Dimensions of personalisation in technology-enhanced learning: A framework and implications for design. British Journal of Educational Technology, 49(1), 165--181.
[12]
Gašević, D., Dawson, S., Rogers, T., & Gasevic, D. (2016). Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success. The Internet and Higher Education, 28, 68--84.
[13]
Griffith, S. F., Hagan, M. B., Heymann, P., Heflin, B. H., & Bagner, D. M. (2020). Apps as learning tools: a systematic review. Pediatrics, 145(1).
[14]
Holmes, W., Anastopoulou, S., Schaumburg, H., & Mavrikis, M. (2018). Technology-enhanced personalised learning: Untangling the evidence.
[15]
Hulme, C., & Snowling, M. J. (2009). Reading disorders I: Developmental dyslexia. In Developmental disorders of language learning and cognition. Chichester, U.K.: Wiley-Blackwell.
[16]
Hunt, T. E., Bhardwa, J., & Sheffield, D. (2017). Mental arithmetic performance, physiological reactivity and mathematics anxiety amongst UK primary school children. Learning and Individual Differences, 57, 129--132.
[17]
Mavrikis, M., & Gutierrez-Santos, S. (2010). Not all wizards are from Oz: Iterative design of intelligent learning environments by communication capacity tapering. Computers & Education, 54(3), 641--651.
[18]
Pane, J. F., Steiner, E. D., Baird, M. D., & Hamilton, L. S. (2015). Continued Progress: Promising Evidence on Personalised Learning. Rand Corporation.
[19]
Perrotta, C., & Williamson, B. (2018). The social life of Learning Analytics: cluster analysis and the 'performance'of algorithmic education. Learning, Media and Technology, 43(1), 3--16.
[20]
Porayska-Pomsta, K., Mavrikis, M., D'Mello, S., Conati, C., Baker, R.S. (2013). Knowledge elicitation methods for affect modelling in education. International Journal of Artificial Intelligence in Education 22(3), 107--140.
[21]
Sampayo-Vargas, S., Cope, C. J., He, Z., & Byrne, G. J. (2013). The effectiveness of adaptive difficulty adjustments on students' motivation and learning in an educational computer game. Computers & Education, 69, 452--462.
[22]
Vandewaetere, M., & Clarebout, G. (2014). Advanced technologies for personalised learning, instruction, and performance. In Handbook of research on educational communications and technology (pp. 425--437). Springer, New York, NY.
[23]
van Roy, R., & Zaman, B. (2019). Unravelling the ambivalent motivational power of gamification: A basic psychological needs perspective. International Journal of Human-Computer Studies, 127, 38--50.
[24]
Xie, H., Chu, H. C., Hwang, G. J., & Wang, C. C. (2019). Trends and development in technology-enhanced adaptive/personalised learning: A systematic review of journal publications from 2007 to 2017. Computers & Education, 140, 103599.

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  • (2024)"More than just a game, it's an app that builds awareness around Mental Health": Mental Health Stigma Reduction Using Games for ChangeProceedings of the ACM on Human-Computer Interaction10.1145/36770908:CHI PLAY(1-30)Online publication date: 15-Oct-2024
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cover image ACM Conferences
IDC '20: Proceedings of the 2020 ACM Interaction Design and Children Conference: Extended Abstracts
June 2020
367 pages
ISBN:9781450380201
DOI:10.1145/3397617
Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 21 July 2020

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Author Tags

  1. children
  2. digital technologies
  3. personalised learning

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  • Extended-abstract

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IDC '20
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IDC '20: Interaction Design and Children
June 21 - 24, 2020
London, United Kingdom

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Overall Acceptance Rate 172 of 578 submissions, 30%

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IDC '25
Interaction Design and Children
June 23 - 26, 2025
Reykjavik , Iceland

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Cited By

View all
  • (2024)"More than just a game, it's an app that builds awareness around Mental Health": Mental Health Stigma Reduction Using Games for ChangeProceedings of the ACM on Human-Computer Interaction10.1145/36770908:CHI PLAY(1-30)Online publication date: 15-Oct-2024
  • (2023)Agency in Educational Technology: Interdisciplinary Perspectives and Implications for Learning DesignEducational Psychology Review10.1007/s10648-023-09749-x35:1Online publication date: 28-Feb-2023
  • (2022)To use or not to use learning data: A survey study to explain German primary school teachers’ usage of data from digital learning platforms for purposes of individualizationFrontiers in Education10.3389/feduc.2022.9204987Online publication date: 18-Aug-2022
  • (2021)Technology‐mediated personalised learning for younger learners: Concepts, design, methods and practiceBritish Journal of Educational Technology10.1111/bjet.1315052:5(1793-1797)Online publication date: 24-Jul-2021
  • (2021)From Needs Analysis to Task Selection, Design, and SequencingThe Cambridge Handbook of Task-Based Language Teaching10.1017/9781108868327.014(226-249)Online publication date: 19-Nov-2021
  • (2021)The Cambridge Handbook of Task-Based Language Teaching10.1017/9781108868327Online publication date: 19-Nov-2021
  • (2021)Computer-Supported Human Mentoring for Personalized and Equitable Math LearningArtificial Intelligence in Education10.1007/978-3-030-78270-2_55(308-313)Online publication date: 12-Jun-2021

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