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Direct linkBahreini, Kiavash; Nadolski, Rob; Westera, Wim – Education and Information Technologies, 2016
This paper presents the voice emotion recognition part of the FILTWAM framework for real-time emotion recognition in affective e-learning settings. FILTWAM (Framework for Improving Learning Through Webcams And Microphones) intends to offer timely and appropriate online feedback based upon learner's vocal intonations and facial expressions in order…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Recognition (Psychology)
Tokmak, Hatice Sancar; Incikabi, Lutfi; Yelken, Tugba Yanpar – Australasian Journal of Educational Technology, 2012
This comparative case study investigated the educational software evaluation processes of both experts and novices in conjunction with a software evaluation checklist. Twenty novice elementary education students, divided into groups of five, and three experts participated. Each novice group and the three experts evaluated educational software…
Descriptors: Observation, Content Analysis, Focus Groups, Case Studies
Download full textMudford, Oliver C.; Taylor, Sarah Ann; Martin, Neil T. – Journal of Applied Behavior Analysis, 2009
We reviewed all research articles in 10 recent volumes of the "Journal of Applied Behavior Analysis (JABA)": Vol. 28(3), 1995, through Vol. 38(2), 2005. Continuous recording was used in the majority (55%) of the 168 articles reporting data on free-operant human behaviors. Three methods for reporting interobserver agreement (exact agreement,…
Descriptors: Interrater Reliability, Behavioral Science Research, Literature Reviews, Observation
