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Direct linkKun Wang – International Journal of Web-Based Learning and Teaching Technologies, 2025
This study investigates the development and implementation of a big data-driven English ecological classroom teaching model, aiming to reform university English instruction in alignment with contemporary technological advancements. The conventional teaching framework, often limited to textbooks and in-class activities, has been shown to…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Learner Engagement
"Over 800 Data Points": How Coaches and Athletes Collectively Navigate Data-Rich Learning Encounters
Turcotte, Nate; Hollett, Ty – Information and Learning Sciences, 2023
Purpose: The datafication of teaching and learning settings continues to be of broad interest to the learning sciences. In response, this study aims to explore a non-traditional learning setting, specifically two Golf Teaching and Research Programs, to investigate how athletes and coaches capture, analyze and use performance data to improve their…
Descriptors: Athletic Coaches, Student Athletes, Athletics, Data Use
Ana Stojanov; Ben Kei Daniel – Education and Information Technologies, 2024
The need for data-driven decision-making primarily motivates interest in analysing Big Data in higher education. Although there has been considerable research on the value of Big Data in higher education, its application to address critical issues within the sector is still limited. This systematic review, conducted in December 2021 and…
Descriptors: Higher Education, Learning Analytics, Well Being, Decision Making
Download full textBoontam, Punyapa – Shanlax International Journal of Education, 2022
This paper examines to what extent paper-based data-driven learning (DDL) activities can improve Thai EFL students' vocabulary learning concerning three English synonymous adjectives, which are naughty, disobedient and rebellious, and explores the attitudes of the participants towards learning through the DDL activities. This study was a one-group…
Descriptors: Second Language Instruction, English (Second Language), Vocabulary Development, Data Use
Turcotte, Nate; Hollett, Ty; Merrell, Dan; Wager, Steve; Handley, Eric – Learning, Media and Technology, 2022
Data capture technologies are increasingly incorporated into teaching and learning settings in an effort to offer personalized learning opportunities. Despite the general enthusiasm for these initiatives, concerns persist as to the effective and ethical collection and use of that data. In response, this article offers a complimentary account of…
Descriptors: Athletics, College Faculty, Athletic Coaches, College Students
Rivera, Roberto; Marazzi, Mario; Torres-Saavedra, Pedro A. – Journal of Statistics Education, 2019
The 2016 Guidelines for Assessment and Instruction in Statistics Education (GAISE) College Report emphasized six recommendations to teach introductory courses in statistics. Among them: use of real data with context and purpose. Many educators have created databases consisting of multiple datasets for use in class; sometimes making hundreds of…
Descriptors: Introductory Courses, Statistics, Guidelines, Mathematics Instruction
Forti, Luciana – Research-publishing.net, 2019
Concordance-based Data-Driven Learning (DDL) aims to help second language learners infer language usage rules from language usage regularities. A number of DDL pedagogical treatments have focussed on phraseological units such as collocations, widely recognised as a central component of second language learning. This study evaluates DDL effects…
Descriptors: Second Language Learning, Student Attitudes, Language Usage, Data Use
Holm, Jennifer, Ed.; Megroureche, Charlotte, Ed. – Canadian Mathematics Education Study Group, 2022
With COVID-19 continuing to make meeting face-to-face impossible, the Canadian Mathematics Education Study Group/Groupe Canadien d'Étude en Didactique des Mathématiques (CMESG/GCEDM) executive decided that, for the first time, the CMESG/GCEDM meeting would be held virtually. By necessity, the program had to be much compressed with no topic…
Descriptors: Mathematics Education, Foreign Countries, COVID-19, Pandemics
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
