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Tong Zhang; Ermei Lu; Quanming Liao; Deliang Sun – Journal of Psychoeducational Assessment, 2025
Purpose: Academic anxiety is a common phenomenon in the college student population, which has an important impact on students' psychological health and academic performance. Therefore, by exploring the effects of college students' professional commitment and achievement goal orientation variables on academic anxiety, it helps to understand…
Descriptors: College Students, Anxiety, Academic Achievement, Student Attitudes
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Kajal Mahawar; Punam Rattan – Education and Information Technologies, 2025
Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…
Descriptors: Electronic Learning, Artificial Intelligence, Academic Achievement, Prediction
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Xinjian Fu; Yingxiang Li – European Journal of Education, 2025
University student academic competitions can test students' learning outcomes, improve their academic performance and stimulate their interest in learning. Exploring the behavioural mechanisms influencing students' academic competition is quite important, but there is currently little research on this topic. This study aims to fill this gap in the…
Descriptors: College Students, Student Participation, Competition, Structural Equation Models
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Jing Yu – Asia Pacific Journal of Education, 2025
Blended learning (BL) is experiencing significant growth due to the practical needs of business administration tertiary education. As a result, a combination of online and offline teaching has become the "new normal" for students participating in higher education. Employing innovative BL learning models could improve student engagement,…
Descriptors: Blended Learning, Models, Learner Engagement, Academic Achievement
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Murata, Ryusuke; Okubo, Fumiya; Minematsu, Tsubasa; Taniguchi, Yuta; Shimada, Atsushi – Journal of Educational Computing Research, 2023
This study helps improve the early prediction of student performance by RNN-FitNets, which applies knowledge distillation (KD) to the time series direction of the recurrent neural network (RNN) model. The RNN-FitNets replaces the teacher model in KD with "an RNN model with a long-term time-series in which the features during the entire course…
Descriptors: College Students, Academic Achievement, Prediction, Neurology
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Any Fatmawati; Siti Zubaidah; Susriyati Mahanal; Sutopo Sutopo; Muhammad Roil Bilad; Masitah Shahrill – Pegem Journal of Education and Instruction, 2024
One of the essential goals of science learning is to lead students to master scientific concepts or ideas and apply them to explain relevant everyday phenomena. Such mastery should help students to work with various representations. The objective of this study was to determine the effectiveness of the Learning Cycle Multiple Representation (LCMR)…
Descriptors: Preservice Teacher Education, Preservice Teachers, Plants (Botany), Scientific Concepts
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Gilfillan, Audrey; Ehrnstrom, Colleen – About Campus, 2023
College students in the 21st century face unprecedented levels of stress, which has led to a global and deleterious impact on their mental health. The mental health of college students is widely considered to be a public health crisis according to the World Health Organization (WHO), and universities are challenged to provide adequate resources…
Descriptors: College Students, Mental Health, Coaching (Performance), Academic Achievement
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Smithers, Laura – Learning, Media and Technology, 2023
This article examines the work of predictive analytics in shaping the social worlds in which they thrive, and in particular the world of the first year of Great State University's student success initiative. Specifically, this article investigates the following research paradox: predictive analytics, as driven by a logic premised on predicting the…
Descriptors: Prediction, Learning Analytics, Academic Achievement, College Students
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Majid Elahi Shirvan; Abdullah Alamer – Journal of Multilingual and Multicultural Development, 2024
Given the recent attention to language-domain-specific grit in the field of SLA and the scarcity of research on the antecedents of L2 grit, we proposed a model that links L2 learners' basic psychological needs (BPN) (i.e. autonomy, competence, and relatedness), L2 grit (i.e. perseverance of effort (PE) and consistency of interest (CI)), and L2…
Descriptors: Correlation, Psychological Needs, Academic Persistence, Personality Traits
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Xiaojing Duan; Bo Pei; G. Alex Ambrose; Arnon Hershkovitz; Ying Cheng; Chaoli Wang – Education and Information Technologies, 2024
Providing educators with understandable, actionable, and trustworthy insights drawn from large-scope heterogeneous learning data is of paramount importance in achieving the full potential of artificial intelligence (AI) in educational settings. Explainable AI (XAI)--contrary to the traditional "black-box" approach--helps fulfilling this…
Descriptors: Academic Achievement, Artificial Intelligence, Prediction, Models
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Tejas R. Shah; Poonam Chhaniwal – International Journal of Learning Technology, 2024
This study empirically tested a model examining the effect of four e-learning quality dimensions, i.e., information quality, system quality, service quality, and instructor quality as well as students' self-efficacy on e-learning behaviour--satisfaction and continued intentions that further affect students' academic performance. The research model…
Descriptors: Electronic Learning, Educational Quality, Self Efficacy, Student Behavior
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Rishwinder Singh Baidwan; Radhika; Rakesh Kumar – Journal of Educational Technology, 2024
Artificial intelligence technology has become widely used in many industries, including healthcare, agriculture, banking, social security, and home furnishings, due to the rise and development of this discipline. One of the newest areas of technology in the education industry is AI in Education, where extensive research supports instructional…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Models
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Adlof, Lauren; Kim, Minkyoung; Crawley, William – TechTrends: Linking Research and Practice to Improve Learning, 2023
Undergraduate student retention is considered a critical issue in higher education, due to its impact on student success, degree completion, and the financial health of universities (Cataldi et al., 2018; Cornelius & Cavanaugh, 2016; Hermes, "Community College Journal," 82(4), 26, 2012; Tinto, "NACADA Journal," 19(2), 5-9,…
Descriptors: Undergraduate Students, School Holding Power, Performance Technology, Academic Achievement
Maurer, Stephan; Schwerdt, Guido; Wiederhold, Simon – Centre for Economic Performance, 2023
We study whether female students benefit from being taught by female professors, and whether such gender match effects differ by class size. We use administrative records of a German public university, covering all programs and courses between 2006 and 2018. We find that gender match effects on student performance are sizable in smaller classes,…
Descriptors: Role Models, Females, Sex, Foreign Countries
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Xiaomei Song; Yuane Jia – Advances in Health Sciences Education, 2024
Medical educators and programs are deeply interested in understanding and projecting the longitudinal developmental trajectories of medical students after these students are matriculated into medical schools so appropriate resources and interventions can be provided to support students' learning and progression during the process. As students have…
Descriptors: Medical Education, Student Development, Medical Schools, Student Characteristics
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