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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
Lan, Andrew S.; Brinton, Christopher G.; Yang, Tsung-Yen; Chiang, Mung – International Educational Data Mining Society, 2017
We propose a new model for learning that relates video watching behavior and engagement to quiz performance. In our model, a learner's knowledge gain from watching a lecture video is treated as proportional to their latent engagement level, and the learner's engagement is in turn dictated by a set of behavioral features we propose that quantify…
Descriptors: Learner Engagement, Student Behavior, Video Technology, Lecture Method
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
Hutt, Stephen; Hardey, Jessica; Bixler, Robert; Stewart, Angela; Risko, Evan; D'Mello, Sidney K. – International Educational Data Mining Society, 2017
We investigate the use of consumer-grade eye tracking to automatically detect Mind Wandering (MW) during learning from a recorded lecture, a key component of many Massive Open Online Courses (MOOCs). We considered two feature sets: stimulus-independent global gaze features (e.g., number of fixations, fixation duration), and stimulus-dependent…
Descriptors: Eye Movements, Attention, Lecture Method, Student Behavior
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
