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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
Cherrstrom, Catherine A.; Boden, Carrie J.; Sherron, Todd; Wilson, Lindsey – Journal of Continuing Higher Education, 2022
Many Americans dream of a college degree, but earning one requires time and money. As one solution, prior learning assessment (PLA) documents college-level learning gained outside the classroom for academic credit and can make the difference between earning or not earning a college degree. However, the literature lacks an integrative and…
Descriptors: Prior Learning, Student Evaluation, Literature Reviews, Meta Analysis
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
Boden, Carrie J.; Cherrstrom, Catherine A.; Sherron, Todd – American Association for Adult and Continuing Education, 2021
Earning a college degree offers many benefits but requires time and money. Prior learning assessment (PLA) saves time and money by translating prior learning into college credit. This systematic literature review examined peer reviewed journal articles about PLA from the last decade. The research design used systematic literature review procedures…
Descriptors: Prior Learning, Evaluation Methods, Literature Reviews, College Credits
Mao, Shun; Zhan, Jieyu; Wang, Yizhao; Jiang, Yuncheng – IEEE Transactions on Learning Technologies, 2023
For offering adaptive learning to learners in intelligent tutoring systems, one of the fundamental tasks is knowledge tracing (KT), which aims to assess learners' learning states and make prediction for future performance. However, there are two crucial issues in deep learning-based KT models. First, the knowledge concepts are used to predict…
Descriptors: Intelligent Tutoring Systems, Learning Processes, Prediction, Prior Learning
Kyttälä, Minna; Maria Björn, Piia; Rantamäki, Milla; Närhi, Vesa; Aro, Mikko – European Journal of Special Needs Education, 2023
This survey study (N = 148) investigates the interrelationships between assessment conceptions, assessment self-efficacy, prior education, and teaching experience amongst Finnish pre-service special educational needs teachers (pre-service SENs). The results showed that assessment conceptions and assessment self-efficacy are intertwined. Assessment…
Descriptors: Preservice Teachers, Special Education Teachers, Student Attitudes, Self Efficacy
Kushwaha, Tarun; Loya, Arpit; Jain, Prayatna; Kukrety, Deepti Bajpai – Marketing Education Review, 2022
Sales management students carry certain misconceptions about sales jobs, which often create confusion in their minds about the nature of the sales job- should they be customer-oriented or sales-oriented? To excel in the initial years of their careers as effective salespersons, students might emphasize sales-orientation or target achievement over…
Descriptors: Business Administration Education, Sales Occupations, Gender Differences, Salesmanship
Fazio, Lisa K.; Hong, Min Kyung; Pillai, Raunak M. – Cognitive Research: Principles and Implications, 2023
Across four studies, we examined the how design decisions influenced the effectiveness of fact-checking articles created by CrossCheck France during the 2017 French election. We measured both memory for the article and belief in the false rumor. We saw no difference in fact check efficacy based on the type of headline (question vs negation) or the…
Descriptors: Foreign Countries, Presidents, Elections, Audits (Verification)
Wang, Fei; Huang, Zhenya; Liu, Qi; Chen, Enhong; Yin, Yu; Ma, Jianhui; Wang, Shijin – IEEE Transactions on Learning Technologies, 2023
To provide personalized support on educational platforms, it is crucial to model the evolution of students' knowledge states. Knowledge tracing is one of the most popular technologies for this purpose, and deep learning-based methods have achieved state-of-the-art performance. Compared to classical models, such as Bayesian knowledge tracing, which…
Descriptors: Cognitive Measurement, Diagnostic Tests, Models, Prediction
Samuel, Thomas; Azen, Razia; Campbell-Kyureghyan, Naira – Journal of Education and Learning, 2020
Training programs are a popular method, in industry globally, to increase awareness of desired concepts to employees and employers and play a critical part in changing or supporting performance improvements. The predominant method to assess the effectiveness of training programs is to have the participants answer Multiple Choice Question (MCQ) and…
Descriptors: Instructional Effectiveness, On the Job Training, Program Evaluation, Evaluation Methods
Davis, Kirsten A.; Jesiek, Brent K.; Knight, David B. – Journal of Engineering Education, 2023
Background: Engineers operate in an increasingly global environment, making it important that engineering students develop global engineering competency to prepare them for success in the workplace. To understand this learning, we need assessment approaches that go beyond traditional self-report surveys. A previous study (Jesiek et al.,…
Descriptors: Vignettes, Engineering Education, Study Abroad, Foreign Countries
Abrahams, Amaal; Pienaar, Lunelle; Bugarith, Kishor; Gunston, Geney; Badenhorst, Elmi – Advances in Physiology Education, 2022
Misalignments in teaching pedagogies between secondary schools and tertiary institutions have exacerbated educational disparities among students from different backgrounds. Given the variation in students' educational background and competencies, there was a need to develop an Anatomy and Physiology (A&P) Foundational Knowledge Assessment to…
Descriptors: Evaluation Methods, Grade Prediction, Academic Achievement, Anatomy