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A Methodology To Investigate The Usage Of Educational Technologies On Tablets In Schools

Inge Molenaar, Antoinette van Schaik
Published 2017 · Engineering

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This chapter introduces a methodology to study how educational technologies on tablets are being used in schools. Specifically it investigates how different educational technologies influence the organization of the learning environment and the way teachers teach. Educational technologies differ greatly in how they offer educational materials and how they use students’ data (learning analytics). It is important to understand the impact of educational technologies on the way teachers shape educational innovation. We view educational technologies on tablets as an instrument for teachers to support them to improve their teaching. Three models are introduced to investigate how educational technologies impact the organization of the learning environment and teaching practices, namely the class-rotation, the actor-control and the pedagogical decision making model.
This paper references
10.1007/S11528-014-0822-X
Let’s not forget: Learning analytics are about learning
D. Gašević (2015)
10.1145/353485.353487
Distributed cognition: toward a new foundation for human-computer interaction research
J. Hollan (2000)
10.18608/JLA.2014.11.2
The "Journal of Learning Analytics": Supporting and Promoting Learning Analytics Research.
George Siemens (2014)
10.1017/CBO9781139174077.002
Distributed Cognition in an Airline Cockpit
E. Hutchins (1994)
Bespreking van: D. Norman: Dictatuur van het design; ontwerpen van gebruiksvoorwerpen gezien vanuit de cognitieve psychologie. (Vertaling en bewerking: A.J.W.M. Thomassen, e.a., Utrecht: Bruna, 1990)
P. van der Poort (1991)
10.2307/3034455
Cognition in the wild
E. Hutchins (1995)
10.1023/B:HIGH.0000020875.72943.A7
On strategies of educational innovation: Between substitution and transformation
W. Westera (2004)
10.1177/016235320302700203
Differentiating Instruction in Response to Student Readiness, Interest, and Learning Profile in Academically Diverse Classrooms: A Review of Literature
C. Tomlinson (2003)
10.1007/978-1-4419-5546-3_28
Using Trace Data to Examine the Complex Roles of Cognitive, Metacognitive, and Emotional Self-Regulatory Processes During Learning with Multi-agent Systems
R. Azevedo (2013)
10.18608/JLA.2014.12.4
Learning Analytics for Online Discussions: Embedded and Extracted Approaches
A. Wise (2014)
10.4135/9781412964012.N24
Designing Learning Environments
Christopher J. Harris (2008)
Towards a Framework for Assessing Teacher Competence.
E. Roelofs (2007)
How to Differentiate Instruction in Mixed-Ability Classrooms
C. Tomlinson (1995)
10.1016/J.LEARNINSTRUC.2012.08.005
Activation of inaccurate prior knowledge affects primary-school students' metacognitive judgments and calibration
M. H. Loon (2013)
10.1016/j.compedu.2013.06.006
Young students using iPads: App design and content influences on their learning pathways
Garry Falloon (2013)
10.1007/978-0-387-73315-9_3
Theoretical Perspectives Influencing the Use of Information Technology in Teaching and Learning
C. Dede (2008)
Translating Learning into Numbers: A Generic Framework for Learning Analytics
W. Greller (2012)



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