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Todd H. Sundeen; Aeshah Alsarawi – Interchange: A Quarterly Review of Education, 2024
Despite the ideological and political support of inclusive education for students with disabilities in U.S schools, the interpretation of the concept of inclusion is still vague and disputed. This article proposes a continuum model of inclusion based on current research, policies, and practice. The inclusion continuum model was developed to…
Descriptors: Inclusion, Students with Disabilities, Stakeholders, Student Placement
Elisa Lankeit; Rolf Biehler – ZDM: Mathematics Education, 2024
In this paper, we propose a novel conceptual framework tailored for modeling the meaning of mathematical concepts in university-level mathematics, addressing their rigorous nature and their relationships with related concepts as well as interpretations in various contexts. Within this framework, we present a model of meaning for the concepts of…
Descriptors: Mathematical Concepts, Mathematics Education, Textbooks, Content Analysis
Jingwen Wang; Xiaohong Yang; Dujuan Liu – International Journal of Web-Based Learning and Teaching Technologies, 2024
The large scale expansion of online courses has led to the crisis of course quality issues. In this study, we first established an evaluation index system for online courses using factor analysis, encompassing three key constructs: course resource construction, course implementation, and teaching effectiveness. Subsequently, we employed factor…
Descriptors: Educational Quality, Online Courses, Course Evaluation, Models
Huiying Dai; So Hee Yoon – International Journal of Web-Based Learning and Teaching Technologies, 2024
The multimedia simulation teaching mode introduces students into virtual scenes for learning. Whether it is enhancing students' interest in learning or enhancing their physical fitness, it is a new teaching mode. This article discusses the establishment of a BP neural network model to study the prediction of students' physical fitness and conducts…
Descriptors: Physical Education, Physical Fitness, Prediction, Adolescents
Rashelle J. Musci; Joseph Kush; Elise T. Pas; Catherine P. Bradshaw – Grantee Submission, 2024
Given the increased focus of educational research on what works for whom and under what circumstances over the last decade, educational researchers are increasingly turning toward mixture models to identify heterogeneous subgroups among students. Such data are inherently nested, as students are nested within classrooms and schools. Yet there has…
Descriptors: Hierarchical Linear Modeling, Data Analysis, Nonparametric Statistics, Educational Research
Geoffery D. Fernquist; Karen E. Samonds – Anatomical Sciences Education, 2024
Embryology is an essential component to understanding human anatomy. It requires an in-depth understanding of 3D knowledge but is primarily taught with 2-dimensional resources. In particular, the development of the human heart is a complex process and difficult to understand using traditional teaching methods. We present here a series of heart…
Descriptors: Embryology, Models, Heart Disorders, Visual Aids
Karl Schweizer; Andreas Gold; Dorothea Krampen; Stefan Troche – Educational and Psychological Measurement, 2024
Conceptualizing two-variable disturbances preventing good model fit in confirmatory factor analysis as item-level method effects instead of correlated residuals avoids violating the principle that residual variation is unique for each item. The possibility of representing such a disturbance by a method factor of a bifactor measurement model was…
Descriptors: Correlation, Factor Analysis, Measurement Techniques, Item Analysis
Yujie Zhou; Ge Cao; Xiao-Liang Shen – Education and Information Technologies, 2024
Online learning communities play a crucial role in delivering high-quality courses to a large number of learners. However, to maintain an economically sustainable and constantly evolving online learning ecosystem, it is essential to create a virtuous cycle from knowledge production to knowledge consumption by charging learners to incentivize…
Descriptors: Electronic Learning, Economics, Sustainability, Models
Lars Bjørke; Ashley Casey – Physical Education and Sport Pedagogy, 2024
Background: Over the last two decades, teachers' use of models has been frequently highlighted as a possible future for physical education. Literature has also shown that collaborations between teachers and researchers can be effective in supporting teachers not only to successfully implement but also sustain their long-term use of models Despite…
Descriptors: Cooperation, Models, Physical Education, Partnerships in Education
Gavin W. Henning; Anne E. Lundquist – Assessment Update, 2024
Retention and persistence models share common components such as student characteristics, institutional experiences, and academic and social integration. However, few acknowledge basic needs (e.g., food, housing, transportation) and belonging as essential to student success. In this piece, the authors discuss two gaps in these models that should…
Descriptors: Academic Persistence, School Holding Power, Models, Student Needs
Shuanghong Shen; Qi Liu; Zhenya Huang; Yonghe Zheng; Minghao Yin; Minjuan Wang; Enhong Chen – IEEE Transactions on Learning Technologies, 2024
Modern online education has the capacity to provide intelligent educational services by automatically analyzing substantial amounts of student behavioral data. Knowledge tracing (KT) is one of the fundamental tasks for student behavioral data analysis, aiming to monitor students' evolving knowledge state during their problem-solving process. In…
Descriptors: Student Behavior, Electronic Learning, Data Analysis, Models
John Hollander; Andrew Olney – Cognitive Science, 2024
Recent investigations on how people derive meaning from language have focused on task-dependent shifts between two cognitive systems. The symbolic (amodal) system represents meaning as the statistical relationships between words. The embodied (modal) system represents meaning through neurocognitive simulation of perceptual or sensorimotor systems…
Descriptors: Verbs, Symbolic Language, Language Processing, Semantics
Hasan Tutar; Mehmet Sahin; Teymur Sarkhanov – Qualitative Research Journal, 2024
Purpose: The lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. The primary purpose of this research is to propose a model by questioning the problem of determining the sample size,…
Descriptors: Research Problems, Sample Size, Qualitative Research, Models
Militina Gomozova; Valeriia Lezzhova; Olga Dragoy; Anastasiya Lopukhina – Journal of Speech, Language, and Hearing Research, 2024
Purpose: Previously, Lancaster and Camarata (2019) showed that the continuum/spectrum model of the developmental language disorder (DLD) best explained the high heterogeneity of symptoms in children with DLD. We hypothesize that the continuum/spectrum approach can include not only children with DLD but also typically developing (TD) children with…
Descriptors: Russian, Developmental Disabilities, Language Impairments, Language Acquisition
Tanja Käser; Giora Alexandron – International Journal of Artificial Intelligence in Education, 2024
Simulation is a powerful approach that plays a significant role in science and technology. Computational models that simulate learner interactions and data hold great promise for educational technology as well. Amongst others, simulated learners can be used for teacher training, for generating and evaluating hypotheses on human learning, for…
Descriptors: Computer Simulation, Educational Technology, Artificial Intelligence, Algorithms

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