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Yasuhiro Yamamoto; Yasuo Miyazaki – Journal of Experimental Education, 2025
Bayesian methods have been said to solve small sample problems in frequentist methods by reflecting prior knowledge in the prior distribution. However, there are dangers in strongly reflecting prior knowledge or situations where much prior knowledge cannot be used. In order to address the issue, in this article, we considered to apply two Bayesian…
Descriptors: Sample Size, Hierarchical Linear Modeling, Bayesian Statistics, Prior Learning
Jocelyn L. Lewis – ProQuest LLC, 2024
Some states have attempted to streamline the process of providing prior learning assessment (PLA), also referred to as credit for prior learning (CPL), for work and life experiences. In terms of enrollment management, colleges nationwide look to increase student enrollment and positively impact attrition. Credit for work experience could have a…
Descriptors: Prior Learning, Experiential Learning, Success, Community College Students
Thumah Mapulanga; Anthony Bwalya – African Journal of Research in Mathematics, Science and Technology Education, 2025
Teaching practices used by teachers influence students' achievement of learning outcomes. These practices may be explored from students' perspectives. Because gender may influence students' perceptions of learning environments, this study explored gender differences in students' perceptions of teaching practices employed in their biology…
Descriptors: Gender Differences, Secondary School Students, Student Attitudes, Teaching Methods
Amanda Alpert Jessee – ProQuest LLC, 2024
Kuh and colleagues (2008) use the term "high-impact practices" (HIPs) to describe co-curricular programs that are particularly effective in advancing student learning. The original list of HIPs does not include campus employment, which McClellan et al. (2018) argued should be added. According to the results from the 2019 NASPA survey…
Descriptors: Recreation, Student Employment, School Recreational Programs, Professional Development
Minna Kyttälä; Piia Maria Björn; Milla Rantamäki; Sami Lehesvuori; Vesa Närhi; Mikko Aro; Marja-Kristiina Lerkkanen – European Journal of Teacher Education, 2024
The aim of this quantitative survey study (N = 287) was to investigate the assessment conceptions of three different pre-service teacher groups (classroom teachers, subject teachers and special needs teachers). Assessment conceptions were best described by the following three main factors: 1) assessment of learning, 2) assessment for teaching and…
Descriptors: Foreign Countries, Preservice Teachers, Student Attitudes, Student Evaluation
Natasha Feinberg; Susan Zoll; Laura Saylor, Contributor – Teachers College Press, 2025
From the authors of "Powerful Literacy in the Montessori Classroom", this new book focuses on the practical implementation of Montessori teaching and assessment methods in pre-K-6th grade classrooms. The authors describe how reading research and Montessori's scientific pedagogy and language curriculum play out in actual classrooms…
Descriptors: Montessori Method, Preschool Curriculum, Literacy Education, Elementary School Curriculum
Thomas K. F. Chiu – Interactive Learning Environments, 2024
Generative artificial intelligence (GenAI) tools have become increasingly accessible and have impacted school education in numerous ways. However, most of the discussions occur in higher education. In schools, teachers' perspectives are crucial for making sense of innovative technologies. Accordingly, this qualitative study aims to investigate how…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Standards
Alaa Aladini; Rashed Mahmud; Abeer Ahmed Hammad Ali – Language Testing in Asia, 2024
In recent years, Intelligent Computer-Assisted Language Assessment (ICALA) has emerged as a transformative approach in language education, leveraging technology to enhance student assessment and learning processes. Despite its growing importance, there is a scarcity of research investigating the connections among needs satisfaction, teacher…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Evaluation Methods, English (Second Language)