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Huimin Yang – International Journal of Web-Based Learning and Teaching Technologies, 2025
In view of the traditional teaching mode, this study focuses on the application of big data in personalized English teaching in colleges and universities. It aims at improving the teaching effect by using big data. By combining personalized teaching and big data theory, this paper analyzes the current situation of college English teaching,…
Descriptors: Data Use, Second Language Instruction, Teaching Methods, English (Second Language)
Tamar Tas; Thoni Houtveen; Wim Van de Grift – Journal of Professional Capital and Community, 2020
Purpose: The purpose of this paper is to answer the question, what progress student teachers make during one academic year, while being trained in a professional learning community, using objective classroom observation, using lesson preparation templates that match their developmental stage and stage-focused mentor feedback.…
Descriptors: Foreign Countries, Teacher Education, Student Teachers, Data Use
Bom, Peter L.; Koopman, Maaike; Bijaard, Douwe – European Journal of STEM Education, 2019
In this study, student teachers explored four data collection methods for data feedback to improve their teaching skills in Science and Technology [S&T]. The aim was to verify whether these methods were suitable for collecting data concerning their teaching skills during S&T activities in their internships. They analysed the collected data…
Descriptors: Student Teachers, Data Use, Feedback (Response), Teacher Improvement
Education Scotland, 2020
Through our national thematic reports HM Inspectors of Education share their professional view on particular aspects of education. This report focuses on sharing the key features which, when taken together, make the greatest difference to using assessment effectively to improve learning and teaching and in turn, outcomes for children and young…
Descriptors: Foreign Countries, Educational Assessment, General Education, Educational Practices
Amanda Katherine Riske – ProQuest LLC, 2022
This three-article dissertation considers the pedagogical practices for developing statistically literate students and teaching data-driven decision-making with the goal of preparing students for civic engagement and improving student achievement. The first article discusses a critical review of the literature on data-driven decision-making…
Descriptors: Teaching Methods, Data Use, Decision Making, Educational Practices
An Early Feedback Prediction System for Learners At-Risk within a First-Year Higher Education Course
Baneres, David; Rodriguez-Gonzalez, M. Elena; Serra, Montse – IEEE Transactions on Learning Technologies, 2019
Identifying at-risk students as soon as possible is a challenge in educational institutions. Decreasing the time lag between identification and real at-risk state may significantly reduce the risk of failure or disengage. In small courses, their identification is relatively easy, but it is impractical on larger ones. Current Learning Management…
Descriptors: Prediction, Feedback (Response), At Risk Students, College Freshmen
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use

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