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Titlebook: Electronic Feedback in Large University Statistics Courses; The Longitudinal Eff Andreas Maur Book 2023 The Editor(s) (if applicable) and T

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書目名稱Electronic Feedback in Large University Statistics Courses
副標(biāo)題The Longitudinal Eff
編輯Andreas Maur
視頻videohttp://file.papertrans.cn/307/306276/306276.mp4
圖書封面Titlebook: Electronic Feedback in Large University Statistics Courses; The Longitudinal Eff Andreas Maur Book 2023 The Editor(s) (if applicable) and T
描述.Digital tools and pedagogies in public higher education are unfolding their potential by providing large groups of students with automated, continuous learning and feedback opportunities. However, most of the existing studies are cross-sectional, unidirectional and focus on a limited selection of relevant target variables and instructional features. In a field study, Andreas Maur used longitudinal latent structural equation modelling with a large sample of students to analyse the interrelations between formative feedback from electronic quizzes and different facets of the control value theory of achievement emotions. The results suggest that regular quizzes most consistently improve self-efficacy, anxiety, effort, course enjoyment, and hopelessness over time. Only feedback effects related to intrinsic motivation were consistently less effective for female and less proficient students, and for students in traditional versus flipped classrooms. These findings highlight the need to scale up formative feedback in higher education and to cultivate feedback systems with higher levels of sophistication, adaptability, and gamification mechanics..
出版日期Book 2023
關(guān)鍵詞blended learning; quiz; flipped classroom; motivation; feedback; higher education
版次1
doihttps://doi.org/10.1007/978-3-658-41620-1
isbn_softcover978-3-658-41619-5
isbn_ebook978-3-658-41620-1
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Fachmedien Wies
The information of publication is updating

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Electronic Feedback in Large University Statistics Courses978-3-658-41620-1
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Empirical Basis,re, the longitudinal analytical model of latent autoregressive structural equation modelling will be used to operationalize the relevant constructs in measurement models and set them in relation with each other in subsequent structural models. Longitudinal research aims at examining stability and va
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