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Teresa M. Ober; Darin G. Johnson; Lei Liu; Devon Kinsey; Karyssa A. Courey – ETS Research Report Series, 2025
Effective communication skills are essential for success in both academic and professional contexts. This concept paper presents a novel framework designed to operationally define and support the development of assessments of communication skills with a specific emphasis on K-12 settings. Through discussions on important considerations for the…
Descriptors: Communication Skills, Elementary Secondary Education, Student Evaluation, Evaluation Methods
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Guomin Chen; Pengrun Chen; Ying Wang; Nan Zhu – Interactive Learning Environments, 2024
The paper describes the research of causal relationships between the factors of technological, organizational, environmental, and personal contexts and their influence on the development of learning intentions in potential students. Its purpose was to develop a mechanism for designing a public online educational resource platform based on the…
Descriptors: MOOCs, Electronic Learning, Design, Technology Uses in Education
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Hansol Lee; Jang Ho Lee – Review of Educational Research, 2024
This study used a meta-analytic structural equation modeling approach to build extended versions of the simple view of reading (SVR) model in second and foreign language (SFL) learning contexts (i.e., SVR-SFL). Based on the correlation coefficients derived from primary studies, we replicated and integrated two previous extended meta-analytic SVR…
Descriptors: Second Language Learning, Reading, Decoding (Reading), Reading Comprehension
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Daniel P. Jurich; Matthew J. Madison – Educational Assessment, 2023
Diagnostic classification models (DCMs) are psychometric models that provide probabilistic classifications of examinees on a set of discrete latent attributes. When analyzing or constructing assessments scored by DCMs, understanding how each item influences attribute classifications can clarify the meaning of the measured constructs, facilitate…
Descriptors: Test Items, Models, Classification, Influences
Amanda Danks; Karen Manship; Laura Wallace; Maya Escueta; Damon Blair; Ashley Darang; Sarah Haynes – American Institutes for Research, 2023
The North Carolina Division of Child Development and Early Education (DCDEE) partnered with the American Institutes for Research® (AIR®) to develop three alternative market models for setting child care subsidy rates in the state. Child care subsidy rates are currently based on the market rate, or what providers charge for their services. The…
Descriptors: Child Care, Grants, Costs, Models
Arwa Alhuthlul – ProQuest LLC, 2024
Self-determination, as a vital topic for individuals with disabilities, has received a narrow investigation in Saudi Arabia and the Middle Eastern communities. Therefore, it is imperative to examine evidence-based practices to furnish insight into the efficacy of self-determination models not only through theoretical research methods but also via…
Descriptors: Foreign Countries, Self Determination, Teaching Models, Females
Alexandros Loukas – ProQuest LLC, 2024
This dissertation consists of three chapters that contribute to the fields of macroeconomics, economic development, and entrepreneurship. In the first chapter, "Entrepreneurship Selection and Performance in the U.S. and Across Countries: The Role of Human Capital," I seek to establish a set of stylized facts related to entrepreneurship…
Descriptors: Macroeconomics, Entrepreneurship, Economic Development, Human Capital
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Kristy J. Wilson; Allison K. Chatterjee – Biochemistry and Molecular Biology Education, 2024
Students often see college courses as the presentation of disconnected facts, especially in the life sciences. Student-created Structure Mechanism/Relationship Function (SMRF) models were analyzed to understand students' abilities to make connections between genotype, phenotype, and evolution. Students were divided into two sections; one section…
Descriptors: College Students, Genetics, Models, Classification
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Oscar Blessed Deho; Lin Liu; Jiuyong Li; Jixue Liu; Chen Zhan; Srecko Joksimovic – IEEE Transactions on Learning Technologies, 2024
Learning analytics (LA), like much of machine learning, assumes the training and test datasets come from the same distribution. Therefore, LA models built on past observations are (implicitly) expected to work well for future observations. However, this assumption does not always hold in practice because the dataset may drift. Recently,…
Descriptors: Learning Analytics, Ethics, Algorithms, Models
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David Hellstrom; Jenny P. Steiner – New Directions for Student Leadership, 2024
Teaching leadership in today's world requires a combination of introducing theory and best practices, as well as allowing moments that are happening in real-time, both current events and interactions from the "laboratory" of the classroom, to affect the teaching agenda. Instructors can lean into the model of Intentional Emergence (IE) to…
Descriptors: Intention, Current Events, Leadership Training, Models
Marie L. Masterson; Teri N. Talan – McCormick Center for Early Childhood Leadership at National Louis University, 2024
Leadership development in early education and care is one of the most pressing priorities in the field today. Since 2017, the Whole Leadership Framework has provided a conceptual model for national competencies for early childhood program leaders. This report discusses some of the many contributors and their significant contributions to the…
Descriptors: Early Childhood Education, Child Care, Leadership, Models
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Kattis Edström; Viktor Gardelli; Ylva Backman – International Journal of Inclusive Education, 2024
In Swedish schools, the so-called 'Participation Model' is used to observe and analyse participation, with the intention of supporting an inclusive learning environment. While this model is widely promoted by government agencies, its theoretical alignment to the concept(s) of inclusion is not established. This article therefore compares and maps…
Descriptors: Inclusion, Participation, Models, Foreign Countries
Adeline R. Tan – ProQuest LLC, 2024
Hidden structure refers to the units of organization that a child cannot directly observe when they are learning language (e.g. phonemes, morpheme boundaries, URs, phrases). In this dissertation, I propose a novel computational model that learns hidden structures in-tandem with the grammar. My model consists of two Maximum Entropy sub-models that…
Descriptors: Language Acquisition, Models, Grammar, Speech Communication
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Pattamaporn Piriyapongpipat; Sally Goldin; Nadh Ditcharoen – Smart Learning Environments, 2024
Global trends in higher education emphasize the development of curricula that offer greater responsiveness to learners. Creating flexible and responsive curricula will require additional support systems for curriculum management. The first step toward sustainably developing this kind of system is to represent essential curricular information in a…
Descriptors: Curriculum Development, Taxonomy, Higher Education, Models
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Louis Botha – Advances in Research on Teaching, 2024
As Ratnam makes clear, a cultural-historical perspective on teacher/faculty excessive entitlement is indispensable if we are to use this concept to work with, rather than undermine, education practitioners. In this chapter, a networked relational model of activity is proposed as a tool for understanding excessive entitlement from a…
Descriptors: Teacher Attitudes, Expectation, Networks, Models
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