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Wampfler, Rafael; Klingler, Severin; Solenthaler, Barbara; Schinazi, Victor R.; Gross, Markus – International Educational Data Mining Society, 2019
The role of affective states in learning has recently attracted considerable attention in education research. The accurate prediction of affective states can help increase the learning gain by incorporating targeted interventions that are capable of adjusting to changes in the individual affective states of students. Until recently, most work on…
Descriptors: Affective Behavior, Prediction, Problem Solving, Mathematics
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
Chen, Yuxuan; Bosch, Nigel; D'Mello, Sidney – International Educational Data Mining Society, 2015
The current paper explores possible solutions to the problem of detecting affective states from facial expressions during text/diagram comprehension, a context devoid of interactive events that can be used to infer affect. These data present an interesting challenge for face-based affect detection because likely locations of affective facial…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Comprehension
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
Wang, Yutao; Heffernan, Neil T.; Heffernan, Cristina – Grantee Submission, 2015
The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…
Descriptors: Majors (Students), Affective Behavior, Psychological Patterns, Predictor Variables
Clarken, Rodney H. – Online Submission, 2009
Moral intelligence is newer and less studied than the more established cognitive, emotional and social intelligences, but has great potential to improve our understanding of learning and behavior. Moral intelligence refers to the ability to apply ethical principles to personal goals, values and actions. The construct of moral intelligence consists…
Descriptors: Ethical Instruction, Altruism, Integrity, Ethics
Clark, Richard E. – 1974
Reconstructing media research so that generalizable knowledge can be produced requires an increased emphasis on attributes of media which interact with individual differences to effect learning. In order to accomplish this, media researchers must make a distinction between research "with" media and research "on" media. Privious efforts to…
Descriptors: Affective Behavior, Aptitude Treatment Interaction, Classification, Cognitive Processes
Bohlin, Roy M. – 1998
This paper presents a model for those interested in the design and/or research of instruction in the affective domain. This model is an integration of current theories and models in the affective domain. It is a broad and comprehensive model which represents the hierarchical structures and interactions of affective and related cognitive factors,…
Descriptors: Affective Behavior, Classification, Cognitive Processes, Educational Objectives
Biggers, J. Thompson; Masterson, John T. – 1983
It is axiomatic that context influences interpersonal behaviors, yet communication researchers have had limited success in generating a set of conceptual or operational definitions for the situation variable. Two studies were conducted to examine emotion-eliciting qualities as the basis for such a typology and the relationship of situations…
Descriptors: Affective Behavior, Classification, Communication Research, Higher Education
Hurst, Barbara Martin – 1980
Several categories of the affective domain are important to the schooling process. Schools are delegated the responsibility of helping students to clarify their esthetic, instrumental, and moral values. Three areas of affect are related to student achievement: subject-related affect, school-related affect, and academic self concept. In addition,…
Descriptors: Academic Achievement, Affective Behavior, Affective Objectives, Classification
Wierzbicki, Michael – 1992
P. M. Lewinsohn has theorized that depression is related to the amount of positive reinforcement that an individual receives. Lewinsohn has supported this model in adults by showing that depression is correlated with an increase in unpleasant activities and a decrease in pleasant activities. This study extended Lewinsohn's model by developing…
Descriptors: Activities, Adults, Affective Behavior, Age Differences
Scaramella-Nowinski, Valerie L. – 1991
The paper presents a discussion of human mental processes as they relate to learning disabilities. Pathognomonic symptoms associated with disturbances to brain areas or functional systems are discussed, as well as treatment procedures. This brain behavior relationship is offered as a basis for a classification system that is seen to more clearly…
Descriptors: Affective Behavior, Attention, Check Lists, Classification
Feezel, Jerry D. – 1983
A comparison of several major learning taxonomies produced a three dimensional taxonomy of learner involvement on the mental, social, and physical dimensions. The six hierarchical levels of the mental dimension--recording, reacting, interpreting, analyzing, evaluating and applying, and synthesizing--indicate a synthesis of cognitive, affective,…
Descriptors: Affective Behavior, Classification, Cognitive Processes, Communication (Thought Transfer)
Gray, Charles E.; Pierce, Walter D. – 1977
This paper examines and summarizes the "Pierce-Gray Classification Model for the Cognitive, Affective, and Psychomotor Domains," a model developed for the classification of educational objectives. The classification system was developed to provide a framework that teachers could use as a guide when developing specific instructional objectives for…
Descriptors: Affective Behavior, Affective Objectives, Behavior Development, Behavioral Objectives
Assessment Theory and Research for Classrooms: From "Taxonomies" to Constructing Meaning in Context.

Tittle, Carol Kehr; And Others – Educational Measurement: Issues and Practice, 1993
Major changes in educational and psychological theories that have come about since the cognitive and affective taxonomies of educational objectives were published in 1956 and 1964 are traced. The changes emphasize the need to understand thinking in the context of students' beliefs and self-directed cognitions. (SLD)
Descriptors: Achievement Tests, Affective Behavior, Classification, Classroom Research
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