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ICT in Education in Global ContextLearning Effectiveness Enhancement Project “LEEP”

ICT in Education in Global Context: Learning Effectiveness Enhancement Project “LEEP” [The overall objective, to which the project will contribute, is to improve teaching and learning effectiveness within academic institutions by exploiting data mining methods on collected databases for educational knowledge extraction. These teaching and learning databases are accumulated from quantitative “measures” done through indoor classroom visits within academic institutions, online web access learners’ questionnaires and answers, paper written statements’ analysis of academic exams in STEM education (science, technology, engineering, and mathematics), and online elementary grades seizure from written traces of learners’ performances in STEM exams. Findings of these processes, elaborated by researcher’s team within beneficiary organizations, are disseminated through diversified publication and are the subject of multiple professional meetings, especially, teachers’ training sessions. The project’s data mining strategy in educational context will support and develop teachers’ expertise, enhance and scaffold students’ learning, and improve and raise education system’s performance. This is a project that combines data mining analysis methods with educational and cognitive science findings. It attempts to unify these two paradigms, generally distant from each other. New strategies of educational assessment, training, and innovating are designed and are able to enhance significantly the effectiveness of teaching and learning performances in academic institutions such as secondary schools. The use of these methods aims to identify and better understand the learners’ profiles, teaching practices, characteristics, and context details in which teachers and learners act. These tools for decision support are exploited by the researcher, an educational inspector and expert in educational assessment, to generate, make available, and process databases on teaching practices, learning performances, and learners’ profiles.] http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png

ICT in Education in Global ContextLearning Effectiveness Enhancement Project “LEEP”

Part of the Lecture Notes in Educational Technology Book Series
Editors: Zhang, Jinbao; Yang, Junfeng; Chang, Maiga; Chang, Tingwen
Besbes, Riadh
ICT in Education in Global Context — Feb 20, 2016
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References (7)

Publisher
Springer Singapore
Copyright
© Springer Science+Business Media Singapore 2016
ISBN
978-981-10-0372-1
Pages
71 –82
DOI
10.1007/978-981-10-0373-8_5
Publisher site
See Chapter on Publisher Site

Abstract

[The overall objective, to which the project will contribute, is to improve teaching and learning effectiveness within academic institutions by exploiting data mining methods on collected databases for educational knowledge extraction. These teaching and learning databases are accumulated from quantitative “measures” done through indoor classroom visits within academic institutions, online web access learners’ questionnaires and answers, paper written statements’ analysis of academic exams in STEM education (science, technology, engineering, and mathematics), and online elementary grades seizure from written traces of learners’ performances in STEM exams. Findings of these processes, elaborated by researcher’s team within beneficiary organizations, are disseminated through diversified publication and are the subject of multiple professional meetings, especially, teachers’ training sessions. The project’s data mining strategy in educational context will support and develop teachers’ expertise, enhance and scaffold students’ learning, and improve and raise education system’s performance. This is a project that combines data mining analysis methods with educational and cognitive science findings. It attempts to unify these two paradigms, generally distant from each other. New strategies of educational assessment, training, and innovating are designed and are able to enhance significantly the effectiveness of teaching and learning performances in academic institutions such as secondary schools. The use of these methods aims to identify and better understand the learners’ profiles, teaching practices, characteristics, and context details in which teachers and learners act. These tools for decision support are exploited by the researcher, an educational inspector and expert in educational assessment, to generate, make available, and process databases on teaching practices, learning performances, and learners’ profiles.]

Published: Feb 20, 2016

Keywords: Blended learning; Assessment for learning; Knowledge extraction; Profile recognition

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