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Fernández-Abascal, Enrique G.; Díaz, María D. Martín – Creativity Research Journal, 2013
Three studies explored the relation between affect and production of creative divergent thinking, assessed with the Torrance Tests of Creative Thinking (Figural TTCT). In the first study, general, positive, and negative affect, assessed with the Positive and Negative Affect Scale (PANAS) were compared with creative production. In the second study,…
Descriptors: Creative Thinking, Logical Thinking, Psychological Patterns, Creativity Tests
Kim, ChanMin; Bennekin, Kimberly N. – Educational Technology Research and Development, 2013
We designed support for volitional control with four stages for "goal initiation" ("Want it"), "goal formation" ("Plan for it"), "action control" ("Do it"), and "emotion control" ("Finish it") based on theories and models of volition. We implemented the support in…
Descriptors: Mathematics Instruction, Goal Orientation, Individual Power, Community Colleges
Webb, Christian A.; Schwab, Zachary J.; Weber, Mareen; DelDonno, Sophie; Kipman, Maia; Weiner, Melissa R.; Killgore, William D. S. – Intelligence, 2013
The construct of emotional intelligence (EI) has garnered increased attention in the popular media and scientific literature. Several competing measures of EI have been developed, including self-report and performance-based instruments. The current study replicates and expands on previous research by examining three competing EI measures…
Descriptors: Emotional Intelligence, Intelligence Tests, Test Validity, Intelligence Quotient
Porayska-Pomsta, Kaska; Mavrikis, Manolis; D'Mello, Sidney; Conati, Cristina; Baker, Ryan S. J. d. – International Journal of Artificial Intelligence in Education, 2013
Research on the relationship between affect and cognition in Artificial Intelligence in Education (AIEd) brings an important dimension to our understanding of how learning occurs and how it can be facilitated. Emotions are crucial to learning, but their nature, the conditions under which they occur, and their exact impact on learning for different…
Descriptors: Intelligent Tutoring Systems, Psychological Patterns, Data Collection, Affective Measures
Bauer, Scott C.; Silver, Lori Wilt – AERA Online Paper Repository, 2016
There is little extant theory framing the role of isolation in predicting various outcomes relating to the quality of work life of school principals. Building on previous work, this paper examines the relationships between isolation, self-efficacy, job satisfaction, burnout, and intention to leave the job using structural equation modeling on a…
Descriptors: Principals, Self Efficacy, Job Satisfaction, Burnout
Conway, Lauryn; Gomez-Garibello, Carlos; Talwar, Victoria; Shariff, Shaheen – Journal of School Violence, 2016
The current study investigated the influence of type of aggression (cyberbullying or traditional bullying) and participant role (bystander or perpetrator) on children and adolescents' self-attribution of moral emotions and judgments, while examining the influence of chronological age. Participants (N = 122, 8-16 years) evaluated vignettes and were…
Descriptors: Bullying, Aggression, Role Perception, Attribution Theory
Muñoz, Karla; Noguez, Julieta; Neri, Luis; Mc Kevitt, Paul; Lunney, Tom – Educational Technology & Society, 2016
Game-based Learning (GBL) environments make instruction flexible and interactive. Positive experiences depend on personalization. Student modelling has focused on affect. Three methods are used: (1) recognizing the physiological effects of emotion, (2) reasoning about emotion from its origin and (3) an approach combining 1 and 2. These have proven…
Descriptors: Educational Games, Psychological Patterns, Models, Academic Achievement
Zheng, Robert; Hicken, Bret L.; Hill, Robert D.; Luptak, Marilyn; Daniel, Candice M.; Grant, Marren; Rupper, Randall – Educational Gerontology, 2016
This research project included two studies that investigated (a) differences between technology use in tech-knowledgeable and less tech-knowledgeable older persons, (b) cognitive and affective variables and their association with the application of technology, and (c) the implications of these variables on the design of remote-delivered caregiver…
Descriptors: Caregiver Training, Older Adults, Technology Uses in Education, Technological Literacy
Long, Haiying – Social Psychology of Education: An International Journal, 2016
This study focuses on "high achievement but low motivation" phenomenon that is prevalent in East Asian countries and districts, and uses eighth graders in Taipei that participated in TIMSS 2007 as an example to examine the direct and indirect effects of academic motivation, positive affect, and instruction on science achievement.…
Descriptors: Science Achievement, Science Education, Science Instruction, Foreign Countries
Rimland, Emily – portal: Libraries and the Academy, 2013
Affective learning relates to students' attitudes, emotions, and feelings. This study focuses on measuring affective learning during library instruction by using a student response system. Participants were undergraduate students who received course-related library instruction for a research assignment. Students rated their confidence levels…
Descriptors: Audience Response Systems, Undergraduate Students, Library Instruction, Academic Libraries
Katz, Ellen; Tufford, Lea; Bogo, Marion; Regehr, Cheryl – Journal of Teaching in Social Work, 2014
Pre-practicum student reflections were studied using an Objective Standard Clinical Examination adapted for social work. One hundred and nine students conducted simulated interviews and immediately wrote answers to reflective questions. Reflections were studied using descriptive qualitative methodology. Three patterns emerged: students rely…
Descriptors: Social Work, Practicums, Interviews, Emotional Response
Huang, Yueh-Min; Hwang, Jan-Pan; Chen, Sherry Y. – Interactive Learning Environments, 2016
Cognitive styles have been regarded as a crucial factor that affects the effectiveness of web-based learning (WBL). Previous research indicated that educational settings that match with students' cognitive styles can enhance students' learning performance, which is, however, linked to their emotion. Various physiological signals can be applied to…
Descriptors: Web Based Instruction, Cognitive Style, Educational Environment, Emotional Response
Pelanek, Radek – Journal of Educational Data Mining, 2015
Researchers use many different metrics for evaluation of performance of student models. The aim of this paper is to provide an overview of commonly used metrics, to discuss properties, advantages, and disadvantages of different metrics, to summarize current practice in educational data mining, and to provide guidance for evaluation of student…
Descriptors: Models, Data Analysis, Data Processing, Evaluation Criteria
Sánchez, Carles Rostan; Ortiz, Dolors Cañabate; Carrasco, Mònica González; Carbo, Pilar Albertín; Burriel, Marc Pérez – Electronic Journal of Research in Educational Psychology, 2015
Introduction: Despite academic climate being a key aspect of teaching quality in academic institutions, few studies conducted in the university context have analyzed this construct systematically. Method: Given the absence of specific tools to apply to university, we propose the construction of a tool for assessing college students' perceptions of…
Descriptors: Classroom Environment, Social Environment, College Students, Student Attitudes
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