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Showing all 13 results Save | Export
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Robert D. Plumley; Matthew L. Bernacki; Jeffrey A. Greene; Shelbi Kuhlmann; Mladen Rakovic; Christopher J. Urban; Kelly A. Hogan; Chaewon Lee; Abigail T. Panter; Kathleen M. Gates – British Journal of Educational Technology, 2024
Even highly motivated undergraduates drift off their STEM career pathways. In large introductory STEM classes, instructors struggle to identify and support these students. To address these issues, we developed co-redesign methods in partnership with disciplinary experts to create high-structure STEM courses that better support students and produce…
Descriptors: Learning Analytics, Prediction, Undergraduate Study, Biology
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Nan Yang; Patrizia Ghislandi – Higher Education: The International Journal of Higher Education Research, 2024
The two main trends in the development of higher education worldwide are universal access and digital transformation. These trends are bringing about an increase in class sizes and the growth of online higher education. Previous studies indicated that both the large-class setting and online delivery threaten the quality, and the exploration of…
Descriptors: Foreign Countries, Required Courses, Educational Quality, Teaching Methods
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Deng, Tao; Hu, Bi Ying; Wang, X. Christine; Li, Yuanhua; Jiang, Chunlian; Su, Yijie; LoCasale-Crouch, Jennifer – Early Education and Development, 2023
Research Findings: This study investigated teachers' Concept development (CD) strategy use in whole-group math teaching and its associations with children's higher-order thinking processes in 25 Chinese preschool math lessons. We utilized the CD dimension within the Classroom Assessment Scoring System (CLASS) to guide our exploration. CD…
Descriptors: Foreign Countries, Classroom Environment, Preschool Teachers, Concept Formation
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Moreno-Marcos, Pedro Manuel; Alario-Hoyos, Carlos; Munoz-Merino, Pedro J.; Kloos, Carlos Delgado – IEEE Transactions on Learning Technologies, 2019
This paper surveys the state of the art on prediction in MOOCs through a systematic literature review (SLR). The main objectives are: first, to identify the characteristics of the MOOCs used for prediction, second, to describe the prediction outcomes, third, to classify the prediction features, fourth, to determine the techniques used to predict…
Descriptors: Prediction, Large Group Instruction, Online Courses, Educational Research
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Youssef, Mourdi; Mohammed, Sadgal; Hamada, El Kabtane; Wafaa, Berrada Fathi – Education and Information Technologies, 2019
MOOCs are becoming more and more involved in the pedagogical experimentation of universities whose infrastructure does not respond to the growing mass of learners. These universities aim to complete their initial training with distance learning courses. Unfortunately, the efforts made to succeed in this pedagogical model are facing a dropout rate…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
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Gitinabard, Niki; Xu, Yiqiao; Heckman, Sarah; Barnes, Tiffany; Lynch, Collin F. – IEEE Transactions on Learning Technologies, 2019
Blended courses that mix in-person instruction with online platforms are increasingly common in secondary education. These platforms record a rich amount of data on students' study habits and social interactions. Prior research has shown that these metrics are correlated with students performance in face-to-face classes. However, predictive models…
Descriptors: Blended Learning, Educational Technology, Technology Uses in Education, Prediction
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Sunar, Ayse Saliha; White, Su; Abdullah, Nor Aniza; Davis, Hugh C. – IEEE Transactions on Learning Technologies, 2017
In 2015, 35 million learners participated online in 4,200 MOOCs organized by over 500 universities. Learning designers orchestrate MOOC content to engage learners at scale and retain interest by carefully mixing videos, lectures, readings, quizzes, and discussions. Universally, far fewer people actually participate in MOOCs than originally sign up…
Descriptors: Online Courses, Large Group Instruction, Interaction, Learner Engagement
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Carpenter, Shana K.; Lund, Terry J. S.; Coffman, Clark R.; Armstrong, Patrick I.; Lamm, Monica H.; Reason, Robert D. – Educational Psychology Review, 2016
Retrieval practice has been shown to produce powerful learning gains in laboratory experiments but has seldom been explored in classrooms as a means of enhancing students' learning of their course-relevant material. Furthermore, research is lacking concerning the role of individual differences in learning from retrieval. The current study explored…
Descriptors: Undergraduate Students, Introductory Courses, Biology, Academic Achievement
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Galyon, Charles E.; Blondin, Carolyn A.; Forbes, Bethany E.; Williams, Robert L. – Journal on Excellence in College Teaching, 2013
The authors developed a methodology for evaluating student answers on homework assigned in 3 sections (total N = 167) of an undergraduate educational psychology course. The potential of homework to predict exam scores was compared with that of two established predictors (critical thinking and participation in class discussion). The findings…
Descriptors: Homework, Undergraduate Students, Prediction, Scores
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Moissa, Barbara; Gasparini, Isabela; Kemczinski, Avanilde – International Journal of Distance Education Technologies, 2015
Learning Analytics (LA) is a field that aims to optimize learning through the study of dynamical processes occurring in the students' context. It covers the measurement, collection, analysis and reporting of data about students and their contexts. This study aims at surveying existing research on LA to identify approaches, topics, and needs for…
Descriptors: Large Group Instruction, Educational Technology, Online Courses, Educational Research
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Matkin, Gary W. – Continuing Higher Education Review, 2013
Gary W. Matkin, Dean of Continuing Education, Distance Learning, and Summer Session at the University of California, Irvine (UCI), writes about the "year of the MOOC (Massive Open Online Courses), 2012" and how over 250,000 students signed up for six courses that began in early January 2013. Within its first year Coursera had signed 62…
Descriptors: Online Courses, Large Group Instruction, Educational Trends, Educational History
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Hudson, Danae L.; Whisenhunt, Brooke L.; Shoptaugh, Carol F.; Rost, Ann D.; Fondren-Happel, Rachel N. – Psychology Learning and Teaching, 2014
Increasing college enrollments, and decreased funding have led institutions and instructors to focus on developing courses that can be taught effectively in a large class format. This article presents the effectiveness of a redesigned, blended format of Introductory Psychology taught in large sections. The goals of the project included improving…
Descriptors: Large Group Instruction, Educational Change, Psychology, Teaching Methods
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Buckley, Patrick; Garvey, John; McGrath, Fergal – Computers & Education, 2011
In this paper, prediction markets are presented as an innovative pedagogical tool which can be used to create a Rich Environment for Active Learning (REAL). Prediction markets are designed to make forecasts about specific future events by using a market mechanism to aggregate the information held by a large group of traders about that event into a…
Descriptors: Prediction, Active Learning, Educational Technology, Teaching Methods