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Robertson Evia, Jane; Peterman, Karen; Cloyd, Emily; Besley, John – International Journal of Science Education, Part B: Communication and Public Engagement, 2018
Self-efficacy, or the beliefs people hold about their ability to succeed in certain pursuits, is a long-established construct. Self-efficacy for science communication distinguishes scientists who engage with the public and relates to scientists' attitudes about the public. As such, self-efficacy for public engagement has the potential to serve as…
Descriptors: Self Efficacy, Scientists, Self Concept Measures, Program Validation
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Chamberlin, Scott A.; Moore, Alan D.; Parks, Kelly – British Journal of Educational Psychology, 2017
Background: Student affect plays a considerable role in mathematical problem solving performance, yet is rarely formally assessed. In this manuscript, an instrument and its properties are discussed to enable educational psychologists the opportunity to assess student affect. Aims: The study was conducted to norm the CAIMPS (instrument) with gifted…
Descriptors: Factor Analysis, Affective Measures, Program Validation, Mathematical Aptitude
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Alpaslan, Muhammet Mustafa; Ulubey, Özgür – Online Submission, 2017
Recent years, emotions emerge as important affective constructs that contribute to individuals' behaviors at educational settings. In this study, it was aimed to adapt the Teacher Emotion Scale (TES) developed by Frenzel et al. (2016) into the Turkish culture and to examine its validity and reliability. A total of two hundred and eighty two…
Descriptors: Teacher Behavior, Affective Measures, Behavior Rating Scales, Elementary Secondary Education
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Wang, Cixin; Yang, Chunyan; Jiang, Xu; Furlong, Michael – International Journal of School & Educational Psychology, 2018
The Social Emotional Health Survey-Primary (SEHS-P) was originally developed to assess U.S. elementary students' positive psychological traits: gratitude, zest, optimism, and persistence, and the higher-order latent construct of covitality. The present study evaluated the validity of a Chinese version of SEHS-P with a sample of 653 Chinese…
Descriptors: Construct Validity, Student Surveys, Factor Analysis, Factor Structure
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Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement