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Christopher D. Wilson; Kevin C. Haudek; Jonathan F. Osborne; Zoë E. Buck Bracey; Tina Cheuk; Brian M. Donovan; Molly A. M. Stuhlsatz; Marisol M. Santiago; Xiaoming Zhai – Journal of Research in Science Teaching, 2024
Argumentation is fundamental to science education, both as a prominent feature of scientific reasoning and as an effective mode of learning--a perspective reflected in contemporary frameworks and standards. The successful implementation of argumentation in school science, however, requires a paradigm shift in science assessment from the…
Descriptors: Middle School Students, Competence, Science Process Skills, Persuasive Discourse
Haomin Zhang; Jie Sun; Yuting Han; Song Yin – International Journal of Bilingual Education and Bilingualism, 2024
The current study reported an empirical investigation that tested the collective and individual effects of morphological awareness and cognate awareness on Japanese word learning among Chinese learners of Japanese. 131 Chinese learners of Japanese participated in this study. They completed morphological awareness measurements (morpheme…
Descriptors: Morphology (Languages), Second Language Learning, Second Language Instruction, Japanese
Emily Margaret Stump – ProQuest LLC, 2024
Physics education researchers have called for a shift from traditional laboratory (lab) instruction to labs that focus on the development of experimental skills. Although research has demonstrated the efficacy of such reformed labs, much work remains to determine what these labs can and should teach students and how best to achieve these goals.…
Descriptors: Physics, Science Instruction, Science Laboratories, Experimental Curriculum
Sonja Kleter; Uwe Matzat; Rianne Conijn – IEEE Transactions on Learning Technologies, 2024
Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…
Descriptors: Prediction, Models, Academic Achievement, Learning Analytics
Maria N. Moylan; Jessica L. Fales; Cathy A. Grover – Journal of American College Health, 2024
Objectives: While many are aware of the benefits of exercise, there has been a decline in participation across all ages, with dramatic declines during adolescence/young adulthood. This study aimed to determine whether hope, body-esteem, and motivation to exercise contribute to exercise behavior among college students. Participants: Undergraduates…
Descriptors: Student Attitudes, Self Esteem, Psychological Patterns, Human Body
Waheed Hammad; Yousef Abu Shindi; Hosam Morad; Yasser F. Hendawy Al-Mahdy; Khalsa Al-Harthi – International Journal of Leadership in Education, 2024
This study aimed to explore learning-centered leadership (LCL) and teacher professional learning (TPL) in Egypt, a context that is relatively underrepresented in the international literature. Specifically, the study sought to determine whether and to what extent LCL and TPL were practiced in Egyptian schools, and whether principal's LCL practices…
Descriptors: Foreign Countries, Instructional Leadership, Faculty Development, Student Centered Learning
Pablo Maceira-Elvira; Traian Popa; Anne-Christine Schmid; Andéol Cadic-Melchior; Henning Müller; Roger Schaer; Leonardo G. Cohen; Friedhelm C. Hummel – npj Science of Learning, 2024
Healthy aging often entails a decline in cognitive and motor functions, affecting independence and quality of life in older adults. Brain stimulation shows potential to enhance these functions, but studies show variable effects. Previous studies have tried to identify responders and non-responders through correlations between behavioral change and…
Descriptors: Age Differences, Neurosciences, Prediction, Brain
Harsimran Singh; Banipreet Kaur; Arun Sharma; Ajeet Singh – Education and Information Technologies, 2024
Today, the main aim of educational institutes is to provide a high level of education to students, as career selection is one of the most important and quite difficult decisions for learners, so it is essential to examine students' capabilities and interests. Higher education institutions frequently face higher dropout rates, low academic…
Descriptors: College Students, At Risk Students, Academic Achievement, Artificial Intelligence
Yangyang Luo; Xibin Han; Chaoyang Zhang – Asia Pacific Education Review, 2024
Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…
Descriptors: Prediction, Learning Management Systems, Blended Learning, Classification
Jiaqi Jackie Shi – ProQuest LLC, 2024
One of the many impacts of the COVID-19 pandemic has been the increasing prevalence and accessibility of online education. This trend has also introduced challenges for students, instructors, and institutions. This study examines factors affecting online course satisfaction, focusing on individual, instructor, and institutional level…
Descriptors: Prediction, Online Courses, Higher Education, Student Attitudes
Masato Nakamura; Shota Momma; Hiromu Sakai; Colin Phillips – Cognitive Science, 2024
Comprehenders generate expectations about upcoming lexical items in language processing using various types of contextual information. However, a number of studies have shown that argument roles do not impact neural and behavioral prediction measures. Despite these robust findings, some prior studies have suggested that lexical prediction might be…
Descriptors: Diagnostic Tests, Nouns, Language Processing, Verbs
Dong Zhang; Zhenyu Shi; Yafei Cheng – SAGE Open, 2024
The goal of this study was to predict the preservice physical education teachers' (PPETs) occupational socialization (OS) by their pedagogical content knowledge (PCK) and to investigate the relationship between them. The participants were 56 PPETs from a physical education teacher education (PETE) undergraduate program in the northeastern United…
Descriptors: Pedagogical Content Knowledge, Physical Education, Physical Education Teachers, Socialization
Mustafa Kocaarslan; Ahmet Yamaç – Journal of Computing in Higher Education, 2024
This research explores preservice classroom teachers' perceived importance, self-efficacy beliefs, participation frequencies and conceptions related to new literacies. The research is framed using a dual-level theory of new literacies. The participants of the study consisted of 364 preservice teachers studying in the department of primary…
Descriptors: Student Attitudes, Preservice Teachers, Teacher Education Programs, Multiple Literacies
Blake H. Heller – Annenberg Institute for School Reform at Brown University, 2024
In 2016, the GED® introduced college readiness benchmarks designed to identify testers who are academically prepared for credit-bearing college coursework. The benchmarks are promoted as awarding college credits or exempting "college-ready" GED® graduates from remedial coursework. I show descriptive evidence that those identified as…
Descriptors: High School Equivalency Programs, College Readiness, Eligibility, Benchmarking
Sashi Ranjan; V. P. Joshith; K. Kavitha; Shana Chittakath – Knowledge Management & E-Learning, 2024
Integrating artificial intelligence (AI) with knowledge management (KM) practices presents a promising avenue for advancing sustainable learning in higher education. However, empirical research exploring this synergy remains limited, particularly in developing countries. This study aimed to investigate the impact of AI-enhanced KM practices on…
Descriptors: Artificial Intelligence, Technology Uses in Education, Knowledge Management, Sustainability

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