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Strain, Amber Chauncey; Azevedo, Roger; D'Mello, Sidney K. – Contemporary Educational Psychology, 2013
We used a false-biofeedback methodology to manipulate physiological arousal in order to induce affective states that would influence learners' metacognitive judgments and learning performance. False-biofeedback is a method used to induce physiological arousal (and resultant affective states) by presenting learners with audio stimuli of false heart…
Descriptors: Biofeedback, Metacognition, Inferences, Affective Behavior
Marchand, Gwen C.; Gutierrez, Antonio P. – Internet and Higher Education, 2012
As the presence of online and hybrid coursework at institutions of higher education has increased, so too has interest among educators and scholars in understanding personal and contextual factors that predict success in different types of learning environments. The purpose of the present study was to examine the relations among temporally-ordered…
Descriptors: Graduate Students, Self Efficacy, Research Methodology, Learning Strategies

Feinberg, Lawrence B.; Halperin, Silas – Journal of Experimental Education, 1978
A sample of 278 students enrolled in an introductory statistics course was used to determine which of a set of cognitive and affective variables correlate with course performance. It is suggested that individual diagnostic profiles are useful in establishing prescriptive treatments designed to help students likely to experience difficulty in…
Descriptors: Academic Achievement, Affective Behavior, Cognitive Processes, Correlation
Johnson, Helen Watt – 1978
The purpose of this study was to determine whether or not the elementary school principal has an impact on the outcomes of schooling manifested by students and, if so, to determine the nature of the role of the principal in influencing cognitive and affective outcomes manifested by students. The three sets of principal-related variables used were…
Descriptors: Academic Achievement, Administrator Role, Affective Behavior, Cognitive Development
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