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Alcoholado, Cristián; Diaz, Anita; Tagle, Arturo; Nussbaum, Miguel; Infante, Cristián – British Journal of Educational Technology, 2016
This study aims to understand the differences in student learning outcomes and classroom behaviour when using the interpersonal computer, personal computer and pen-and-paper to solve arithmetic exercises. In this multi-session experiment, third grade students working on arithmetic exercises from various curricular units were divided into three…
Descriptors: Computer Uses in Education, Handwriting, Problem Solving, Arithmetic
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Li, Lan; Liu, Xiongyi; Zhou, Yuchun – British Journal of Educational Technology, 2012
The study examined how playing two roles as assessors and assessees in technology-assisted peer assessment contributes to students' performance. Data from a previous study was recoded and analysed to understand peer assessment processes from a different angle. Findings of our previous study supported the importance of the assessor's role, but not…
Descriptors: Feedback (Response), Student Evaluation, Peer Evaluation, Student Role
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Hutchison, Dougal – British Journal of Educational Technology, 2007
This paper reports a comparison of human and computer marking of approximately 600 essays produced by 11-year-olds in the UK. Each essay script was scored by three human markers. Scripts were also scored by the "e-rater" program. There was a good agreement between human and machine marking. Scripts with highly discrepant scores were…
Descriptors: Essays, Computer Uses in Education, Scoring, Comparative Analysis
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Kim, ChanMin; Keller, John M. – British Journal of Educational Technology, 2008
This study investigated what kind of supportive information can be effective in improving the situation where there were severe motivational challenges. Motivational and volitional email messages (MVEM) were constructed based on an integrated model of four theories and methods, which are Keller's ARCS model, Kuhl's action control theory,…
Descriptors: Undergraduate Students, Study Habits, Student Motivation, Audience Analysis