Mehrdad Yousefpoori-Naeim, Surina He, Ying Cui, Maria Cutumisu
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引用次数: 0
Abstract
In addition to pre- and in-service teacher education programmes, teachers’ autonomous reading of content related to their work contributes significantly to their professional development. This study investigated the factors that influenced the professional reading of 10,469 language teachers in the 2018 dataset of the Programme for International Student Assessment (PISA). Two machine learning models – logistic regression and Support Vector Machines (SVM) – were used to classify light and heavy readers. Nineteen variables related to teachers, including various aspects of their life, education and instructional practices, were used as predictors for classification. The results indicate that the two models had very similar accuracy scores around 65%. Moreover, the length of the reading texts that teachers assign to their students, instruction of reading comprehension strategies, and teachers’ own general reading habits were found to be the most important predictors of professional reading time.
期刊介绍:
The International Review of Education – Journal of Lifelong Learning (IRE) is edited by the UNESCO Institute for Lifelong Learning, a global centre of excellence for lifelong learning and learning societies. Founded in 1955, IRE is the world’s longest-running peer-reviewed journal of comparative education, serving not only academic and research communities but, equally, high-level policy and practice readerships throughout the world. Today, IRE provides a forum for theoretically-informed and policy-relevant applied research in lifelong and life-wide learning in international and comparative contexts. Preferred topic areas include adult education, non-formal education, adult literacy, open and distance learning, vocational education and workplace learning, new access routes to formal education, lifelong learning policies, and various applications of the lifelong learning paradigm.Consistent with the mandate of UNESCO, the IRE fosters scholarly exchange on lifelong learning from all regions of the world, particularly developing and transition countries. In addition to inviting submissions from authors for its general issues, the IRE also publishes regular guest-edited special issues on key and emerging topics in lifelong learning.