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Bolden, Edward C., III.; Oestreich, Tina M.; Kenney, Michael J.; Yuhnke, Brian T., Jr. – Active Learning in Higher Education, 2019
This article focuses on students' perceptions of small-group activities, discussion, and technology-based interactivity implemented in two different learning environments, namely, in a large, traditional lecture hall and in a smaller classroom. The Engaged Learning Index, developed by Schreiner and Louis, was used along with several items to…
Descriptors: College Students, Student Attitudes, Classroom Environment, Large Group Instruction
Tobin, R. G. – Physics Teacher, 2018
Abundant research leaves little question that pedagogical approaches involving active student engagement with the material, and opportunities for student-to-student discussions, lead to much better learning outcomes than traditional instructor-led, expository instructional formats, in physics and in many other fields. In introductory college…
Descriptors: College Students, College Science, Introductory Courses, Physics
Chen, Guanliang; Davis, Dan; Krause, Markus; Aivaloglou, Efthimia; Hauff, Claudia; Houben, Geert-Jan – IEEE Transactions on Learning Technologies, 2018
Massive Open Online Courses (MOOCs) aim to "educate the world." More often than not, however, MOOCs fall short of this goal--a majority of learners are already highly educated (with a Bachelor's degree or more) and come from specific parts of the (developed) world. Learners from developing countries without a higher degree are…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Chen, Zhongzhou; Chudzicki, Christopher; Palumbo, Daniel; Alexandron, Giora; Choi, Youn-Jeng; Zhou, Qian; Pritchard, David E. – Research and Practice in Technology Enhanced Learning, 2016
We conducted two AB experiments (treatment vs. control) in a massive open online course. The first experiment evaluates deliberate practice activities (DPAs) for developing problem solving expertise as measured by traditional physics problems. We find that a more interactive drag-and-drop format of DPA generates quicker learning than a multiple…
Descriptors: Large Group Instruction, Online Courses, Teaching Methods, Problem Solving
In-the-Moment Teaching Decisions in Primary Grade Reading: The Role of Context and Teacher Knowledge
Griffith, Robin; Bauml, Michelle; Barksdale, Bonnie – Journal of Research in Childhood Education, 2015
This study provides insight into the in-the-moment teaching decisions made during reading instruction in the primary grades. Eight exemplary teachers of reading drew upon pedagogical knowledge and pedagogical content knowledge to make these in-the-moment decisions. Findings indicate the focus of teachers' in-the-moment decisions varied depending…
Descriptors: Primary Education, Elementary School Teachers, Reading Instruction, Decision Making
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2017
For the fortieth time, the Research and Theory Division of the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Jacksonville, Florida. The Proceedings of AECT's Convention are published in two volumes.…
Descriptors: Conference Papers, Educational Technology, Technology Uses in Education, Teaching Methods
Simonson, Michael, Ed.; Seepersaud, Deborah, Ed. – Association for Educational Communications and Technology, 2019
For the forty-second time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Las Vegas, Nevada. The Proceedings of AECT's Convention are published in two volumes. Volume 1 contains 37 papers dealing…
Descriptors: Educational Technology, Technology Uses in Education, Research and Development, Elementary Education
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
McCoy, Leah P., Ed. – Online Submission, 2015
This document presents the proceedings of the 20th Annual Research Forum held June 25, 2015, at Wake Forest University in Winston-Salem, North Carolina. Included are the following 21 action research papers: (1) History Lives! The Use of Simulations in a High School Social Studies Classroom (Lydia Adkins); (2) Using Francophone Music in the High…
Descriptors: Conference Papers, Action Research, Simulation, Social Studies
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
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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
Simonson, Michael, Ed. – Association for Educational Communications and Technology, 2014
For the thirty-seventh year, the Research and Theory Division and the Division of Instructional Design of the Association for Educational Communications and Technology (AECT) sponsored the publication of these Proceedings. Papers published in this volume were presented at the annual AECT Convention in Jacksonville, Florida. This year's Proceedings…
Descriptors: Research and Development, Web Sites, Educational Technology, Technology Uses in Education
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection