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Nan Bernstein Ratner – Language Teaching Research Quarterly, 2024
Our purpose is to highlight the contributions of TalkBank initiatives to improved understanding of clinical impairments in adult and child speakers and examine remaining challenges and proposed solutions. We review the origins and development of TalkBank initiatives that have targeted a wide array of typical and atypical child and adult…
Descriptors: Communication Disorders, Language Impairments, Speech Impairments, Evaluation Methods
John Hattie; Timothy O'Leary; Kyle Hattie; Gregory Donoghue – Corwin, 2024
Today's students need more than great teaching of the curricula; they must also be taught the love and strategies of learning. It's time for a balanced approach that teaches students how to access and process information and inspires a desire for continuous learning. Written by renowned researchers and educators, "Great Learners by…
Descriptors: Teaching Methods, Learning Strategies, Learning Theories, Educational Principles
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
Timothy R. Konold; Elizabeth A. Sanders; Kelvin Afolabi – Structural Equation Modeling: A Multidisciplinary Journal, 2025
Measurement invariance (MI) is an essential part of validity evidence concerned with ensuring that tests function similarly across groups, contexts, and time. Most evaluations of MI involve multigroup confirmatory factor analyses (MGCFA) that assume simple structure. However, recent research has shown that constraining non-target indicators to…
Descriptors: Evaluation Methods, Error of Measurement, Validity, Monte Carlo Methods
Christian Mazimpaka; Rashmi Paudel; Beverly Heinze-Lacey; Patricia A. Elliott – Journal of School Nursing, 2025
This scoping review explores leadership training opportunities for school nurses. The review was conducted to inform the development of a new leadership training program for school nurses in Massachusetts. A search conducted across four databases (PubMed, CINAHL, ERIC, and Web of Science) yielded four articles meeting the search criteria published…
Descriptors: School Nurses, Leadership Training, Program Evaluation, Competence
Sun Kyung Kim; Youngho Lee; Hye Ri Hwang; Oe Nam Kim – Journal of Computer Assisted Learning, 2025
Background: Comprehensive assessment of skills and performance are necessary to improve the quality of care in nursing education. Various factors pose challenges to accurate assessments, including high student-teacher ratio and observer bias. Objectives: To establish an assessment system based on first-person video of smart glasses and validate…
Descriptors: Handheld Devices, Technology, Video Technology, Evaluation Methods
Yi Zheng – Innovations in Education and Teaching International, 2025
The main goal of the research is to identify the correlation between indicators of learnability in entrepreneurial abilities and indicators of business manager effectiveness. The study was based on a sample of 130 respondents in Group 1 and 140 respondents in Group 2. It can be inferred that 81% of the variances in the measurement of performance,…
Descriptors: Business Administration, Small Businesses, Educational Quality, Success
Kylie L. Anglin – Annenberg Institute for School Reform at Brown University, 2025
Since 2018, institutions of higher education have been aware of the "enrollment cliff" which refers to expected declines in future enrollment. This paper attempts to describe how prepared institutions in Ohio are for this future by looking at trends leading up to the anticipated decline. Using IPEDS data from 2012-2022, we analyze trends…
Descriptors: Validity, Artificial Intelligence, Models, Best Practices
Robert L. Moore; Sophia Soomin Lee; Amanda Taylor Pate; Amanda J. Wilson – Distance Education, 2025
This systematic review synthesizes 14 peer-reviewed studies from 2015 to 2023, focusing on the assessment methods and delivery of digital microcredentials. Microcredentials provide specialized, focused content and recognize professional learning or competency in specific skills. This paper defines digital microcredentials as those offered in an…
Descriptors: Literature Reviews, Microcredentials, Evaluation Methods, Program Evaluation
Robert Whitaker; Donna A. Morere – Journal of Deaf Studies and Deaf Education, 2025
Only about 1% of the children receiving special education services are deaf or hard of hearing (DHH). This group of children is highly heterogeneous with respect to a range of factors such as age of onset, degree of hearing loss, language and communication choices and access, and educational settings. Capturing the complex background of a DHH…
Descriptors: Hard of Hearing, Children, Test Construction, Evaluation Methods
Swarupa Asish Dash; S. Vijayakumar Bharathi – Journal of Educators Online, 2025
In today's fast-paced digital world, understanding Artificial Intelligence (AI) is crucial for management students. This paper explores using the Turing test, a famous method to see if AI can act like a human, as a key tool in management education. The focus is on how this test can help students learn about AI more deeply. This paper introduces an…
Descriptors: Artificial Intelligence, Business Education, Digital Literacy, Critical Thinking
Junqiang Dai; Jason W. Griffin; K. Suzanne Scherf – Developmental Psychology, 2024
Adolescence is a critical developmental period that is marked by drastic changes in face recognition, which are reflected in patterns of bias (i.e., superior recognition for some individuals compared to others). Here, we evaluate how race is perceived during face recognition and whether adolescents exhibit an own-race bias (ORB). We conducted a…
Descriptors: Racial Factors, Adolescents, Meta Analysis, Bias
Xiaoling Zhang; Fenia Aivaloglou; Marcus Specht – European Journal of STEM Education, 2024
Computational Thinking (CT) is considered a core 21st century digital skill. The aspect of assessment is crucial and knowing what, who, when, how, and where to assess is important for assessment design. In this study, we conducted an umbrella review to gain insights regarding CT assessment in higher education. In total, we analyzed 11 reviews,…
Descriptors: Computation, Thinking Skills, Higher Education, 21st Century Skills
John M. LaVelle; Clayton L. Stephenson; Scott I. Donaldson; Justin D. Hackett – American Journal of Evaluation, 2024
Psychological theory suggests that evaluators' individual values and traits play a fundamental role in evaluation practice, though few empirical studies have explored those constructs in evaluators. This paper describes an empirical study on evaluators' individual, work, and political values, as well as their personality traits to predict…
Descriptors: Evaluators, Values, Political Attitudes, Work Attitudes
Krista M. Soria; Brandon W. Kliewer – New Directions for Student Leadership, 2024
In emergence-based leadership education, the knowledge and experiences co-created in the classroom may violate some of the assumptions behind traditional teaching and learning assessment methods. Thus, traditional assessment, evaluation, and outcomes for courses utilizing emergence-based methods, such as intentional emergence, case-in-point,…
Descriptors: Leadership Training, Evaluation Methods, Conventional Instruction, Teaching Methods