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Bhatanagar, Sameer; Zouaq, Amal; Desmarais, Michel C.; Charles, Elizabeth – International Educational Data Mining Society, 2020
Online "Peer Instruction" has become prevalent in many "flipped classroom" settings, yet little work has been done to examine the content students generate in such a learning environment. This study characterizes a dataset generated by an open-source, web-based homework system that prompts students to first answer questions,…
Descriptors: Peer Teaching, Electronic Learning, Educational Technology, Web Based Instruction
Heilmann, Sharon – Networks: An Online Journal for Teacher Research, 2018
This article examines how educational scaffolding was used in a graduate research methods course to encourage student mastery of two qualitative research concepts, interviews and narrative inquiry. Findings suggest that scaffolding resulted in students' mastery of both concepts as well as students' increased attention to quality of interview…
Descriptors: Scaffolding (Teaching Technique), Interviews, Personal Narratives, Inquiry
Himmele, Pérsida; Himmele, William – ASCD, 2021
Old habits die hard, particularly when they are part of the unexamined norms of schooling. In "Why Are We Still Doing That?," the best-selling authors of "Total Participation Techniques" lead a teacher-positive, empathetic inquiry into 16 common educational practices that can undermine student learning: (1) Round robin reading;…
Descriptors: Teaching Methods, Educational Practices, Elementary Secondary Education, Reading Instruction
Staveley-O'Carroll, James – Journal of Economic Education, 2018
Over the course of one semester, six empirical assignments that utilize FRED are used to introduce students of money and banking courses to the economic analysis required for the conduct of monetary policy. The first five assignments cover the following topics: inflation, bonds and stocks, monetary aggregates, the Taylor rule, and employment.…
Descriptors: Economics Education, Graphs, Assignments, Macroeconomics
Moltudal, Synnøve; Høydal, Kjetil; Krumsvik, Rune Johan – Designs for Learning, 2020
Adaptive Learning Technologies (ALT) and Learning Analytics (LA) are expected to contribute to the customisation and personalisation of pupil learning by continually calibrating and adjusting pupils' learning activities towards their skill and competence levels. The overall aim of the study presented in this paper was to obtain a comprehensive…
Descriptors: Educational Technology, Technology Uses in Education, Data Collection, Data Analysis
Gallagher, Kerry – State Education Standard, 2016
Digital tools are making it easier than ever for teachers to gather and analyze formative data. Paper exit slips can take a classroom teacher upward of an hour to sort and graph after just one day of classes. But now, that same teacher can pose a question out loud to the class and ask students to type answers on their mobile phones and hit send.…
Descriptors: Data Collection, Formative Evaluation, Technology Uses in Education, Handheld Devices
Gelan, Anouk; Fastré, Greet; Verjans, Martine; Martin, Niels; Janssenswillen, Gert; Creemers, Mathijs; Lieben, Jonas; Depaire, Benoît; Thomas, Michael – Computer Assisted Language Learning, 2018
Learning analytics (LA) has emerged as a field that offers promising new ways to prevent drop-out and aid retention. However, other research suggests that large datasets of learner activity can be used to understand online learning behaviour and improve pedagogy. While the use of LA in language learning has received little attention to date,…
Descriptors: Data Collection, Data Analysis, Computer Assisted Instruction, Second Language Instruction
Lu, Owen H. T.; Huang, Anna Y. Q.; Huang, Jeff C. H.; Lin, Albert J. Q.; Ogata, Hiroaki; Yang, Stephen J. H. – Educational Technology & Society, 2018
Blended learning combines online digital resources with traditional classroom activities and enables students to attain higher learning performance through well-defined interactive strategies involving online and traditional learning activities. Learning analytics is a conceptual framework and is a part of our Precision education used to analyze…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Data Collection
Sorensen, Lucy C. – Educational Administration Quarterly, 2019
Purpose: In an era of unprecedented student measurement and emphasis on data-driven educational decision making, the full potential for using data to target resources to students has yet to be realized. This study explores the utility of machine-learning techniques with large-scale administrative data to identify student dropout risk. Research…
Descriptors: At Risk Students, Dropouts, Data Collection, Data Analysis
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaías, Pedro, Ed. – International Association for Development of the Information Society, 2017
These proceedings contain the papers of the 14th International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2017), 18-20 October 2017, which has been organized by the International Association for Development of the Information Society (IADIS) and endorsed by the Japanese Society for Information and Systems in…
Descriptors: Conference Papers, Student Journals, Diaries, Self Management
Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis