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Elizabeth Foster – Learning Professional, 2025
Evaluation data helps inform decision-makers about the time, human capital, and funding required for professional learning to be effective. Evaluation data also guides program improvement and sets leaders' expectations for ongoing monitoring and accountability. The complexities of the educational systems in which professional learning happens mean…
Descriptors: Professional Development, Evaluation, Data Collection, Accountability
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Jan Kalenda; Ellen Boeren – International Journal of Lifelong Education, 2025
International organisations have measured adult learning participation since the 1990s, using surveys like the Adult Education Survey (AES) and the Programme for the International Assessment of Adult Competencies (PIAAC). These surveys employ a 'triadic' classification of learning activities -- formal (FAE), non-formal (NFE) and informal learning…
Descriptors: Classification, Adult Education, Adult Students, Participation
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Dennis Klinkhammer; Julia Rüther; Michael Schemmann – Adult Education Quarterly: A Journal of Research and Theory, 2024
Building on previous work on the civic returns of adult learning, this article examines the association between adult education, personality traits, and demands for civic participation or volunteering. Based on National Education Panel Study data, the study finds openness to be a crucial personality trait for participating in further training, as…
Descriptors: Adult Education, Personality Traits, Citizen Participation, Data
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Betül Baldan Babayigit; Ellen Boeren; Sharon Clancy; Zyra Evangelista; John Holford; Queralt Capsada-Munsech – International Journal of Lifelong Education, 2025
This paper investigates the methodological discrepancies underlying the measurement of adult learning and education (ALE) participation in the UK by focusing on four major surveys -- APiL, PIAAC, AES, and LFS. Grounded in the Total Survey Error (TSE) framework, we systematically examined the surveys' documentation and compared their definitions,…
Descriptors: Adult Learning, Adult Education, Student Participation, Foreign Countries
Emily J. Barnes – ProQuest LLC, 2024
This quantitative study investigates the predictive power of machine learning (ML) models on degree completion among adult learners in higher education, emphasizing the enhancement of data-driven decision-making (DDDM). By analyzing three ML models - Random Forest, Gradient-Boosting machine (GBM), and CART Decision Tree - within a not-for-profit,…
Descriptors: Artificial Intelligence, Higher Education, Models, Prediction
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Andrew J. Collins; Christopher Lynch; Jim Leathrum; Gayane Grigoryan; T. Stephen Cotter; Ross Gore; Brandon Butler – Adult Learning, 2025
Higher education programs are rapidly transitioning online in support of a broader geographic base, working professionals, and, recently, emergency contingencies such as COVID-19. The flexibility of online courses makes them attractive to adult learners; as such, there is much academic discussion about online learning for adult learners and the…
Descriptors: Minicourses, Online Courses, Adult Students, Professional Education
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Sakr, Mona; Bonetti, Sara – Early Years: An International Journal of Research and Development, 2023
Continuing professional development (CPD) is an essential aspect of early years (EY) workforce planning. In understanding how CPD is currently provided, we depend largely on surveys carried out by separate sector organisations with little synthesis of the data. In this paper, we scrutinise findings relating to CPD from nine surveys of EY managers…
Descriptors: Foreign Countries, Early Childhood Teachers, Professional Development, Continuing Education
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Erin Anderson; Samantha Davis – Journal of Educational Change, 2024
Coaching is a form of professional learning that can contextualize learning and personalize the development of knowledge and skills to improve professional practice and the student experience. Coaching for equity-oriented continuous improvement needs be defined differently than instructional coaching since the schools are focused on changing…
Descriptors: Coaching (Performance), Professional Continuing Education, Faculty Development, Educational Change
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Andrew J. Collins; Brandon M. Butler; James F. Leathrum; Christopher J. Lynch – Studying Teacher Education, 2024
As the COVID-19 pandemic caused severe disruption to education enterprises throughout the world, the main response by educational institutions was to move to online learning environments. The purpose of this study was to understand better how instructors could improve online learning for a professional-level week-long short course in a highly…
Descriptors: COVID-19, Pandemics, Engineering Education, Electronic Learning
Robert Lesley – ProQuest LLC, 2024
The focus of this study was derived from staggering attrition rates that it calls centers year over year. At times call centers post-COVID-19 pandemic saw attrition rates fluctuating between 30%-50%. With any job there are challenges that are faced. These attrition rates stand 28%-40% higher than the United States 2023 national attrition rates of…
Descriptors: Staff Orientation, Performance Based Assessment, Quality Assurance, Utilities
Debshila Basu Mallick; Brittany C. Bradford; Richard G. Baraniuk – Grantee Submission, 2023
OpenStax Kinetic is an innovative research infrastructure that aims to transform education and learning research in the digital age. With its access to large sample sizes, authentic learning environments, experimental control, scalability, security and privacy protection, Kinetic provides an unparalleled opportunity for researchers to study the…
Descriptors: Educational Research, Research Methodology, Electronic Learning, Adult Learning
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Rumary, Kevin James; Goldspink, Sally; Howlett, Philip – International Journal of Research & Method in Education, 2023
Data collection in qualitative research is intended to capture the participant experience in relation to defined phenomena. Whilst attention is given to the different ways of gathering qualitative data, the presence of the researcher is a common feature. However, the researcher does not hold an inert position in the data collection process and may…
Descriptors: Data Collection, Researchers, Focus Groups, Research Methodology
Cody Gene Singer – ProQuest LLC, 2023
College and university enrollment has decreased nationwide every year for more than a decade as educational consumers increasingly question the value of higher education and discover alternatives to the traditional university system. Enrollment professionals seeking growth are tasked to develop and implement innovative solutions to address…
Descriptors: Data Collection, Predictor Variables, Electronic Learning, Enrollment
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Kathy Kremer – Intersection: A Journal at the Intersection of Assessment and Learning, 2024
Colleges and universities depend upon external approvals from accreditors, government agencies, and national organizations. These approvals require periodic review of institution-prepared reports and self-studies documenting the continued validity of offered degrees and programs, student support and success, institutional effectiveness, and…
Descriptors: Higher Education, Educational Improvement, Professional Continuing Education, Data Collection
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Wedin, Åsa; Norlund Shaswar, Annika – Studies in the Education of Adults, 2023
In this article, focus is on students' oral production in two classrooms in Swedish for immigrants (SFI). The study focuses on practices with interaction patterns where students are involved in negotiation of meaning. Theoretical basis is the importance of interpersonal interaction for language development, with a focus on students' use of varied…
Descriptors: Foreign Countries, Immigrants, Adult Education, Interaction
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