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J. Reeve (2009)
Why Teachers Adopt a Controlling Motivating Style Toward Students and How They Can Become More Autonomy SupportiveEducational Psychologist, 44
Marie Vaux, Sylviane Ceccaldi, I. Lassus, Grégory Crine, Françoise Tissot (2001)
Jacques Leplat (Dir.), L'analyse du travail en psychologie ergonomique, Toulouse, Octarès, (Travail), 1993, 76
J. Reeve, G. Nix, Diane Hamm (2003)
Testing models of the experience of self-determination in intrinsic motivation and the conundrum of choice.Journal of Educational Psychology, 95
M. Dunham (2002)
Data Mining: Introductory and Advanced Topics
Chih-Ming Chen, Yi-Yun Chen, Chao-Yu Liu (2007)
Learning Performance Assessment Approach Using Web-Based Learning Portfolios for E-learning SystemsIEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews), 37
Farn-Shing Chen, Ta-Chun Chang, Hsiu-Hsiang Liao (2000)
The application of the grey relation analysis on teacher appraisalSmc 2000 conference proceedings. 2000 ieee international conference on systems, man and cybernetics. 'cybernetics evolving to systems, humans, organizations, and their complex interactions' (cat. no.0, 5
L. Darling-Hammond, J. Snyder (2000)
Authentic assessment of teaching in contextTeaching and Teacher Education, 16
C. Dejours (1993)
Intelligence pratique et sagesse pratique: deux dimensions méconnues du travail réel
J. Reeve, Hyungshim Jang (2006)
What teachers say and do to support students' autonomy during a learning activity.Journal of Educational Psychology, 98
[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 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 within STEM exams. Findings of these processes, elaborated by researcher’s team within beneficiary organization, 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 learner’s 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: Teaching effectiveness; Teachers’ practices; Educational relevance; Sustainability
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