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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
Hampshire, Patricia Korzekwa; Butera, Gretchen D.; Dustin, Timothy J. – Intervention in School and Clinic, 2014
For students with autism, homework time may be especially challenging due to problems in self-organization and difficulties generalizing skills from one setting to another. Although often problematic, homework can provide a valuable context for teaching organizational skills that become essential as students become more independent. By learning to…
Descriptors: Autism, Pervasive Developmental Disorders, Homework, Intervention
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
Conway Hughston, Veronica – ProQuest LLC, 2014
Since 1996 ABET has mandated that undergraduate engineering degree granting institutions focus on learning outcomes such as professional skills (i.e. solving unstructured problems and working in teams). As a result, engineering curricula were restructured to include team based learning--including team charters. Team charters were diffused into…
Descriptors: Engineering Education, Undergraduate Students, Teamwork, Contracts
Smith, Trevor I.; Christensen, Warren M.; Mountcastle, Donald B.; Thompson, John R. – Physical Review Special Topics - Physics Education Research, 2015
We report on several specific student difficulties regarding the second law of thermodynamics in the context of heat engines within upper-division undergraduate thermal physics courses. Data come from ungraded written surveys, graded homework assignments, and videotaped classroom observations of tutorial activities. Written data show that students…
Descriptors: Undergraduate Students, Science Education, College Science, Physics
Feng, Mingyu; Roschelle, Jeremy; Murphy, Robert; Heffernan, Neil – Grantee Submission, 2014
The field of learning analytics is rapidly developing techniques for using data captured during online learning. In this article, we develop an additional application: the use of analytics for improving implementation fidelity in a randomized controlled efficacy trial. In an efficacy trial, the goal is to determine whether an innovation has a…
Descriptors: Data Collection, Data Analysis, Intervention, Program Implementation
Johnson, L.; Adams Becker, S.; Cummins, M.; Estrada, V.; Freeman, A. – New Media Consortium, 2015
The "2015 NMC Technology Outlook for Higher Education in Ireland: A Horizon Project Regional Report" is a collaborative research effort between the New Media Consortium (NMC), National Institute for Digital Learning (NIDL) at Dublin City University, and the Irish Learning Technology Association (ILTA) to inform Irish higher education…
Descriptors: Foreign Countries, Higher Education, Educational Technology, Technology Uses in Education
Freeman, A.; Adams Becker, S.; Hall, C. – New Media Consortium, 2015
The "2015 NMC Technology Outlook for Brazilian Universities" is a collaborative research effort between the New Media Consortium and Saraiva to inform Brazilian higher education leaders and decision-makers about important developments in technologies supporting teaching, learning, and creative inquiry in higher education across the…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Higher Education