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

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.

[1]  Ben Williamson,et al.  The social life of Learning Analytics: cluster analysis and the ‘performance’ of algorithmic education , 2018 .

[2]  D. Bagner,et al.  Apps As Learning Tools: A Systematic Review , 2019, Pediatrics.

[3]  Ann Jones,et al.  A literature synthesis of personalised technology-enhanced learning: what works and why , 2018, Research in Learning Technology.

[4]  Cristina Conati,et al.  Knowledge Elicitation Methods for Affect Modelling in Education , 2013, Int. J. Artif. Intell. Educ..

[5]  Geraldine Clarebout,et al.  Advanced Technologies for Personalized Learning, Instruction, and Performance , 2014 .

[6]  Manolis Mavrikis,et al.  Not all wizards are from Oz: Iterative design of intelligent learning environments by communication capacity tapering , 2010, Comput. Educ..

[7]  Dragan Gasevic,et al.  Learning analytics should not promote one size fits all: The effects of instructional conditions in predicting academic success , 2016, Internet High. Educ..

[8]  ConatiCristina,et al.  Knowledge Elicitation Methods for Affect Modelling in Education , 2013 .

[9]  Ryan Shaun Joazeiro de Baker,et al.  Stupid Tutoring Systems, Intelligent Humans , 2016, International Journal of Artificial Intelligence in Education.

[10]  R. Bosker,et al.  Effective differentiation Practices:A systematic review and meta-analysis of studies on the cognitive effects of differentiation practices in primary education , 2018, Educational Research Review.

[11]  John F. Pane,et al.  Ahead of the Curve: Implementation Challenges in Personalized Learning School Models , 2018 .

[12]  L. Hamilton,et al.  Continued Progress: Promising Evidence on Personalized Learning , 2015 .

[13]  G. Duncan,et al.  School readiness and later achievement. , 2007, Developmental psychology.

[14]  Zhen He,et al.  The effectiveness of adaptive difficulty adjustments on students' motivation and learning in an educational computer game , 2013, Comput. Educ..

[15]  Rebecca Ferguson,et al.  Dimensions of personalisation in technology-enhanced learning: A framework and implications for design , 2018, Br. J. Educ. Technol..

[16]  Gwo-Jen Hwang,et al.  Trends and development in technology-enhanced adaptive/personalized learning: A systematic review of journal publications from 2007 to 2017 , 2019, Comput. Educ..

[17]  Manolis Mavrikis,et al.  Technology-enhanced Personalised Learning: Untangling the Evidence , 2018 .

[18]  Drew H. Bailey,et al.  Fadeout in an early mathematics intervention: Constraining content or preexisting differences? , 2016, Developmental psychology.

[19]  Tracey E. Hall,et al.  An Operationalized Understanding of Personalized Learning , 2016 .

[20]  Helen Pain,et al.  Persistent collaboration: a methodology for applied AIED , 1996 .

[21]  K. Aunola,et al.  Developmental Dynamics of Math Performance From Preschool to Grade 2 , 2004 .

[22]  Bieke Zaman,et al.  Unravelling the ambivalent motivational power of gamification: A basic psychological needs perspective , 2019, Int. J. Hum. Comput. Stud..

[23]  David Sheffield,et al.  Mental arithmetic performance, physiological reactivity and mathematics anxiety amongst U.K. primary school children , 2017 .

[24]  Anissa All,et al.  Towards a conceptual framework for assessing the effectiveness of digital game-based learning , 2015, Comput. Educ..