Measuring emotions in students’ learning and performance: The Achievement Emotions Questionnaire (AEQ)
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In this paper, the authors report on the construction, reliability, internal validity, and external validity of the Achievement Emotions Questionnaire (AEQ) which is designed to assess various achievement emotions experienced by students in academic settings.About:
This article is published in Contemporary Educational Psychology.The article was published on 2011-01-01 and is currently open access. It has received 1150 citations till now. The article focuses on the topics: Academic achievement & Test anxiety.read more
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Conceptualisation, measurement, and prediction of foreign language learning psychological capital among Chinese EFL students
TL;DR: In this paper , a 16-item English as a Foreign Language (EFL) PsyCap scale was proposed to assess the reliability and validity of the scale in a sample of 1,396 Chinese EFL learners.
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Stability and change in the achievement emotion profiles of university students
TL;DR: This article used latent transition analysis (LTA) to examine stability and change in the emotion profiles of university students during a two-semester course and found that 81% of participants remained in their Time 1 profiles at Time 2, with the majority classified by stable positive emotions or mixed emotions.
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The dynamic experience of taking an examination: Ever changing cortisol and expectancy for success.
TL;DR: Most students saw a decrease in cortisol during the examination, suggesting anticipatory anxiety prior to the test and a return to homeostasis as the examination progressed.
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The role of the classroom learning environment in students' mathematics anxiety: A scoping review.
TL;DR: In this article , the authors identified classroom learning environment factors associated with math anxiety in elementary and high school students, and identified several protective and vulnerability factors were identified, and concluded that these factors interferes with learning and achievement in mathematics.
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Are students happier the more they learn? – Research on the influence of course progress on academic emotion in online learning
TL;DR: In this paper , the authors crawled a large number of student comment texts from MOOC, and used deep learning algorithms (BERT models) to perform aspect-oriented sentiment classification on the comment texts.
References
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