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Download full textALSaad, Fareedah; Boughoula, Assma; Geigle, Chase; Sundaram, Hari; Zhai, ChengXiang – International Educational Data Mining Society, 2018
This paper addresses the question of identifying a concept dependency graph for a MOOC through unsupervised analysis of lecture transcripts. The problem is important: extracting a concept graph is the first step in helping students with varying preparation to understand course material. The problem is challenging: instructors are unaware of the…
Descriptors: Data Collection, Educational Research, Online Courses, Large Group Instruction
Zhu, Jile; Li, Xiang; Wang, Zhuo; Zhang, Ming – International Educational Data Mining Society, 2017
Although millions of students have access to varieties of learning resources on Massive Open Online Courses (MOOCs), they are usually limited to receiving rapid feedback. Providing guidance for students, which enhances the interaction with students, is a promising way to improve learning experience. In this paper, we consider to show students the…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Direct linkDobbins, Chelsea; Denton, Philip – TechTrends: Linking Research and Practice to Improve Learning, 2017
This paper is a report of an investigation in which mobile technologies were used during large lecture-type sessions in tandem with the Textwall™ software. This online program is able to receive and present messages from students' devices that the lecturer may then share. It also can be used to collect student votes on multiple-choice questions,…
Descriptors: Telecommunications, Handheld Devices, Lecture Method, Large Group Instruction
Brophy, Caroline; Hahn, Lukas – Journal of Statistics Education, 2014
In this paper, we describe an in-class experiment that is easy to implement with large groups of students. The experiment takes approximately 15-20 minutes to run and involves each student completing one of four types of Sudoku puzzles and recording the time it takes to completion. The resulting data set can be used as a teaching tool at an…
Descriptors: Large Group Instruction, Lecture Method, Educational Experiments, Puzzles
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
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
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
