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Xu Qin – Asia Pacific Education Review, 2024
Causal mediation analysis has gained increasing attention in recent years. This article guides empirical researchers through the concepts and challenges of causal mediation analysis. I first clarify the difference between traditional and causal mediation analysis and highlight the importance of adjusting for the treatment-by-mediator interaction…
Descriptors: Causal Models, Mediation Theory, Statistical Analysis, Computer Software
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Masta, Stephanie – International Journal of Multicultural Education, 2022
This article advances theories and scholarship focused on Indigenous educational research in the U.S. by engaging with the scholarship of Bryan Brayboy and Sandy Grande. This article provides an overview of the history of Indigenous education research and suggests that engaging with Indigenous-centered theories is essential for scholars…
Descriptors: Theory Practice Relationship, Indigenous Populations, Educational Research, Educational History
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Cheng, Yiling – Measurement: Interdisciplinary Research and Perspectives, 2023
Computerized adaptive testing (CAT) offers an efficient and highly accurate method for estimating examinees' abilities. In this article, the free version of Concerto Software for CAT was reviewed, dividing our evaluation into three sections: software implementation, the Item Response Theory (IRT) features of CAT, and user experience. Overall,…
Descriptors: Computer Software, Computer Assisted Testing, Adaptive Testing, Item Response Theory
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Laura Guerrero Puerta; Rocío Lorente García – Qualitative Research Journal, 2024
Purpose: This article explores challenges faced by doctoral candidates using grounded theory (GT) in their theses, focusing on coding, theory development and time constraints. It also examines the impact of doctoral committees on GT dissertations, addressing epistemological clashes and the desire for familiarity over novelty.…
Descriptors: Doctoral Students, Doctoral Dissertations, Grounded Theory, Coding
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Teresa M. Ober; Blair A. Lehman; Reginald Gooch; Olasumbo Oluwalana; Jaemarie Solyst; Geoffrey Phelps; Laura S. Hamilton – ETS Research Report Series, 2023
Culturally responsive personalized learning (CRPL) emphasizes the importance of aligning personalized learning approaches with previous research on culturally responsive practices to consider social, cultural, and linguistic contexts for learning. In the present discussion, we briefly summarize two bodies of literature considered in defining and…
Descriptors: Culturally Relevant Education, Individualized Instruction, Definitions, Educational Principles
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Deborah Oluwadele; Yashik Singh; Timothy Adeliyi – Electronic Journal of e-Learning, 2023
The performance evaluation of e-learning in medical education has been the subject of much research lately. Researchers are yet to achieve a consensus on the definition of performance or the suitable constructs, metrics, models, and methods to help understand student performance. Through a systematic review, this study put forward a working…
Descriptors: Electronic Learning, Medical Education, Student Evaluation, Educational Research
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Diehl, David K.; Golann, Joanne W. – Educational Researcher, 2023
The changing educational landscape requires new organizational frameworks to understand how schools and universities make sense of and respond to broader institutional forces like accountability, diversity, and the market. In this article, we draw on recent innovations in organizational theory to propose a model that identifies two general…
Descriptors: Environmental Influences, Stress Variables, Educational Practices, Schools
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Effatpanah, Farshad; Baghaei, Purya – Practical Assessment, Research & Evaluation, 2023
Item response theory (IRT) refers to a family of mathematical models which describe the relationship between latent continuous variables (attributes or characteristics) and their manifestations (dichotomous/polytomous observed outcomes or responses) with regard to a set of item characteristics. Researchers typically use parametric IRT (PIRT)…
Descriptors: Item Response Theory, Feedback (Response), Mathematical Models, Item Analysis
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Ariel Chasen; Mariel A. Pfeifer – CBE - Life Sciences Education, 2024
Biology education research provides important guidance for educators aiming to ensure access for disabled students. However, there is still work to be done in developing similar guidelines for research settings. By using critical frameworks that amplify the voices of people facing multiple forms of marginalization, there is potential to transform…
Descriptors: Biology, Science Education, Students with Disabilities, Student Attitudes
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Voss, Nathaniel M.; Chlevin-Thiele, Cassandra; Lake, Christopher J.; Warren, Chi-Leigh – International Journal of Testing, 2023
The goal of this study was to extend research on scale contextualization (i.e., frame-of-reference effect) to the decision making styles construct, compare the effects of contextualization across three unique decision style scales, and examine the consequences of scale contextualization within an item response theory framework. Based on a mixed…
Descriptors: Item Response Theory, Decision Making, Decision Making Skills, College Students
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Fousia Azeez; Nimitha Aboobaker – Learning Organization, 2024
Purpose: Experiential learning is crucial in education, as it offers hands-on, practical experiences that enable individuals to develop their skills and knowledge more engagingly and interactively. In recent years, experiential learning has become a significant aspect of education. To provide academic scholars with a thorough roadmap for further…
Descriptors: Experiential Learning, Bibliometrics, Content Analysis, Literature Reviews
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Levy, Roy – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Roy Levy describes Bayesian approaches to psychometric modeling. He discusses how Bayesian inference is a mechanism for reasoning in a probability-modeling framework and is well-suited to core problems in educational measurement: reasoning from student performances on an assessment to make inferences about their…
Descriptors: Bayesian Statistics, Psychometrics, Item Response Theory, Statistical Inference
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Tolsby, June – Learning Organization, 2018
Purpose: This paper aims to introduce the term, knowledge harvesting, as an aid for researchers in comprehending what knowledge strategies influences projects, where to find knowledge, how to visualize knowledge, how to cultivate knowledge, who distributes project knowledge and how to gain former project knowledge. Design/methodology/approach: The…
Descriptors: Workplace Learning, Organizational Culture, Knowledge Management, Employees
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El-Hamamsy, Laila; Pellet, Jean-Philippe; Roberts, Matthew; Kovacs, Helena; Bruno, Barbara; Zufferey, Jessica Dehler; Mondada, Francesco – ACM Transactions on Computing Education, 2023
Context: Introducing Computer Science (CS) into formal education can be challenging, notably when considering the numerous stakeholders involved which include the students, teachers, schools, and policy makers. We believe these perspectives should be considered conjointly, which is possible within Research Practice Partnerships (RPPs). RPPs look…
Descriptors: Theory Practice Relationship, Research and Development, Partnerships in Education, Computer Science Education
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Wynter-Hoyte, Kamania; Braden, Eliza; Boutte, Gloria; Long, Susi; Muller, Meir – Journal of Early Childhood Literacy, 2022
This article is written for educators who serve as teachers, administrators, policy-makers in childcare settings, schools, classrooms, teacher preparation programs, programs that prepare educational researchers, and universities. Its purpose is to provide background, rationale, and support for individuals within those institutions to address the…
Descriptors: Young Children, Emergent Literacy, Literacy Education, Child Care
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