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ALSaad, 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
Weninger, Felix; Staudt, Pascal; Schuller, Björn – International Journal of Distance Education Technologies, 2013
In a large scale study on 843 transcripts of Technology, Entertainment and Design (TED) talks, the authors address the relation between word usage and categorical affective ratings of lectures by a large group of internet users. Users rated the lectures by assigning one or more predefined tags which relate to the affective state evoked in the…
Descriptors: Lecture Method, Online Courses, Internet, Affective Measures
Jadin, Tanja; Gruber, Astrid; Batinic, Bernad – Educational Technology & Society, 2009
Video-based e-lectures offer interactive learning and more vivid and personalized forms of self-regulated learning. Participants (N = 28) learned from either a video-based e-lecture with synchronized written transcript of oral presentation (multimodal) or an e-lecture without the transcript (unimodal presentation). Learners could be classified as…
Descriptors: Learning Strategies, Lecture Method, Learner Controlled Instruction, Transcripts (Written Records)

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