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Showing 1 to 15 of 17 results Save | Export
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Wampfler, Rafael; Emch, Andreas; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2020
Front camera data from tablets used in educational settings offer valuable clues to student behavior, attention, and affective state. Due to the camera's angle of view, the face of the student is partially occluded and skewed. This hinders the ability of experts to adequately capture the learning process and student states. In this paper, we…
Descriptors: Photography, Handheld Devices, Student Behavior, Affective Behavior
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Wise, Steven L.; Kingsbury, G. Gage – Applied Measurement in Education, 2022
In achievement testing we assume that students will demonstrate their maximum performance as they encounter test items. Sometimes, however, student performance can decline during a test event, which implies that the test score does not represent maximum performance. This study describes a method for identifying significant performance decline and…
Descriptors: Achievement Tests, Performance, Classification, Guessing (Tests)
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Janning, Ruth; Schatten, Carlotta; Schmidt-Thieme, Lars – International Journal of Artificial Intelligence in Education, 2016
Recognising students' emotion, affect or cognition is a relatively young field and still a challenging task in the area of intelligent tutoring systems. There are several ways to use the output of these recognition tasks within the system. The approach most often mentioned in the literature is using it for giving feedback to the students. The…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Technology Uses in Education, Educational Technology
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Troussas, Christos; Espinosa, Kurt Junshean; Virvou, Maria – Informatics in Education, 2016
Social networks are progressively being considered as an intense thought for learning. Particularly in the research area of Intelligent Tutoring Systems, they can create intuitive, versatile and customized e-learning systems which can advance the learning process by revealing the capacities and shortcomings of every learner and by customizing the…
Descriptors: Social Media, Educational Technology, Technology Uses in Education, Computer Software
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Savolainen, Reijo – Information Research: An International Electronic Journal, 2015
Introduction: The article contributes to the conceptual studies of affective factors in information seeking by examining Kuhlthau's information search process model. Method: This random-digit dial telephone survey of 253 people (75% female) living in a rural, medically under-serviced area of Ontario, Canada, follows-up a previous interview study…
Descriptors: Affective Behavior, Information Seeking, Models, Interviews
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D'Errico, Francesca; Paciello, Marinella; De Carolis, Bernardina; Vattanid, Alessandro; Palestra, Giuseppe; Anzivino, Giuseppe – International Journal of Emotional Education, 2018
In times of growing importance and emphasis on improving academic outcomes for young people, their academic selves/lives are increasingly becoming more central to their understanding of their own wellbeing. How they experience and perceive their academic successes or failures, can influence their perceived self-efficacy and eventual academic…
Descriptors: Well Being, Self Efficacy, Academic Achievement, Cognitive Processes
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Garland, Eric L.; Howard, Matthew O. – Research on Social Work Practice, 2014
The Diagnostic and Statistical Manual of Mental Disorders and International Classification of Diseases classify mental health disorders on the basis of their putatively distinct symptom profiles. Although these nosologies are highly influential, they also have been derided as mere "field guides" because they focus solely on the…
Descriptors: Mental Disorders, Classification, Social Work, Caseworkers
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Bahreini, 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)
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Goh, Tiong T.; Sun, Pei-Chen – Journal of Information Systems Education, 2015
Unstructured data in social media is as part of the "big data" spectrum. Unstructured data in Social media can provide useful insights into social phenomena and citizen opinions, both of which are critical to government policy and businesses decisions. Teachers of business intelligence and analytics commonly use quantitative data from…
Descriptors: Foreign Countries, Social Media, Data Analysis, Natural Disasters
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Nummenmaa, Lauri; Hyona, Jukka; Calvo, Manuel G. – Journal of Experimental Psychology: General, 2010
We compared the primacy of affective versus semantic categorization by using forced-choice saccadic and manual response tasks. Participants viewed paired emotional and neutral scenes involving humans or animals flashed rapidly in extrafoveal vision. Participants were instructed to categorize the targets by saccading toward the location occupied by…
Descriptors: Semantics, Classification, Cognitive Processes, Visual Stimuli
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Ramon, Dan; Doron, Yonit; Faust, Miriam – Brain and Cognition, 2007
Both emotional reactivity and categorization have long been studied within the framework of hemispheric asymmetry. However, little attempt has been made to integrate both research areas using any form of neuropsychological research, despite behavioral data suggesting a consistent relationship between affective and categorization processes. The…
Descriptors: Classification, Emotional Response, Brain Hemisphere Functions, Cognitive Processes
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Mendaglio, Sal – Journal of Secondary Gifted Education, 1993
Emotional characteristics of gifted children are examined. Frameworks developed by G. Betts and M. Neihart and by A. Roeper, which classify children by features of their characteristic emotional response, are described. Gifted children's unusual levels of sensitivity and intensity are noted and illustrated with a case example. (JDD)
Descriptors: Affective Behavior, Children, Classification, Emotional Development
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Evans, Jeff; Tsatsaroni, Anna; Staub, Natalie – Adults Learning Mathematics, 2007
The success of policies to attract adults back to the learning of mathematics, at various levels, is often linked to questions of motivation. However, motivations depend on relevant beliefs, attitudes and emotions about mathematics--which themselves reflect, together with experiences with maths in school and in the home, wider cultural discourses…
Descriptors: Foreign Countries, Adult Learning, Popular Culture, Learning Motivation
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Haller, Charles R. – 1975
To help teachers assess students' affective responses to teaching films, a scale as established and displayed graphically under which reactions may be rated as positive/active, positive/passive, negative/active, and negative/passive. Procedure in using the scale is explained and a "film reaction sheet" provided. Suggested ways of utilizing the…
Descriptors: Affective Behavior, Affective Measures, Audiovisual Instruction, Classification
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Yaruss, J. Scott; Quesal, Robert W. – Journal of Communication Disorders, 2004
The World Health Organization (WHO) recently presented a multidimensional classification scheme for describing health status and the experience of disablement. This new framework, the "International Classification of Functioning, Disability, and Health" (ICF; WHO, 2001), is a revision of WHO's prior framework for describing the consequences of…
Descriptors: Psycholinguistics, Stuttering, Communication Disorders, Quality of Life
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