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Nyamwange, Jackson – ProQuest LLC, 2023
Many school districts, particularly in inner-city communities, face numerous barriers to students' academic success. Unfortunately, the school paradigm is not constructed to address the glaring social/emotional conditions affecting millions of children (Anderson-Butcher et al., 2017). As a result, educators and social reformers have urged school…
Descriptors: Parent Attitudes, Teacher Attitudes, Community Schools, School Districts
Yang, Qi-Fan; Lian, Li-Wen; Zhao, Jia-Hua – International Journal of Educational Technology in Higher Education, 2023
According to previous studies, traditional laboratory safety courses are delivered in a classroom setting where the instructor teaches and the students listen and read the course materials passively. The course content is also uninspiring and dull. Additionally, the teaching period is spread out, which adds to the instructor's workload. As a…
Descriptors: Undergraduate Students, Gamification, Artificial Intelligence, Robotics
Scott, LaRon A.; Bell, Nicholas; Dayton, Meagan; Bowman, Rachel W.; Evans, Imani; Grillo, Monica; Spence, Christine; Layden, Selena J. – Exceptional Children, 2023
Special education teachers of color are underrepresented in research about attrition and retention, despite evidence of their role in the academic, social, and emotional success of students of color. We used critical quantitative methods and structural equation modeling to investigate the attrition and retention variability between special…
Descriptors: Special Education Teachers, Minority Group Teachers, Teacher Persistence, Decision Making
Sun, Wei; Hong, Jon-Chao; Dong, Yan; Huang, Yue; Fu, Qian – Asia-Pacific Education Researcher, 2023
Online education has made it possible to implement the "classes suspended but learning continues" policy during the COVID-19 outbreak. However, the intangible sense of the online educational setting requires self-directed learning (SDL) and may force students to know the goals of learning that may impact their engagement. To understand…
Descriptors: Independent Study, Online Courses, COVID-19, Pandemics
Salem, Alexandra C.; Gale, Robert; Casilio, Marianne; Fleegle, Mikala; Fergadiotis, Gerasimos; Bedrick, Steven – Journal of Speech, Language, and Hearing Research, 2023
Purpose: ParAlg (Paraphasia Algorithms) is a software that automatically categorizes a person with aphasia's naming error (paraphasia) in relation to its intended target on a picture-naming test. These classifications (based on lexicality as well as semantic, phonological, and morphological similarity to the target) are important for…
Descriptors: Semantics, Computer Software, Aphasia, Classification
Jagodics, Balázs; Nagy, Katalin; Szénási, Szilvia; Varga, Ramóna; Szabó, Éva – School Mental Health, 2023
The demand-resource framework is widely used to predict burnout in occupational context. This cross-sectional study aimed to explore the links of school demands and resources to student burnout. Six hundred and ninety-six Hungarian students from secondary schools participated in the data collection using online survey method in classrooms.…
Descriptors: High School Students, Burnout, Correlation, Prediction
Arens, A. Katrin; Niepel, Christoph – British Journal of Educational Psychology, 2023
Background: The reciprocal internal/external frame of reference (RI/E) combines two models of academic self-concept formation, namely the reciprocal effects model (REM) and the internal/external frame of reference (I/E) model. The REM assumes reciprocal relations between achievement and academic self-concept. The I/E model assumes contrast effects…
Descriptors: Academic Ability, Self Concept, German, English (Second Language)
Zhu, Zhangxiang; Peng, Zihui; Yang, Kening – Education & Training, 2023
Purpose: This study explores the factors that promote university teachers' switching intention from a traditional classroom to a smart classroom based on the push-pull-mooring (PPM) framework to enrich the theoretical research on the smart classroom and provide a reference for smart classroom promotion. Design/methodology/approach: The proposed…
Descriptors: Foreign Countries, College Faculty, Teacher Attitudes, Intention
Dong, Yixiao; Dumas, Denis; Clements, Douglas H.; Sarama, Julie – Journal of Experimental Education, 2023
Dynamic Measurement Modeling (DMM) is a recently-developed measurement framework for gauging developing constructs (e.g., learning capacity) that conventional single-timepoint tests cannot assess. The current project developed a person-specific DMM Trajectory Deviance Index (TDI) that captures the aberrance of an individual's growth from the…
Descriptors: Measurement Techniques, Simulation, Student Development, Educational Research
Zainil, Melva; Kenedi, Ary Kiswanto; Rahmatina; Indrawati, Tin; Handrianto, Ciptro – Journal of Education and e-Learning Research, 2023
The aim of the current research is to develop a STEM-based digital classroom learning model based on the 21st-century skills and characteristics of elementary school students. To enable the dissemination of this learning model, further research is needed to determine the effect of the STEM-based digital classroom learning model on the 21st century…
Descriptors: Foreign Countries, Elementary School Students, STEM Education, Learning
Krautloher, Amita – Journal of Comparative and International Higher Education, 2023
The COVID-19 pandemic has caused massive disruption to business as usual across all industries, including education, and there is a growing consensus that the higher education (HE) sector may never go back to 'business as usual'. While universities are now developing strategies for 2030, several management consultancies are projecting a very…
Descriptors: Universities, Higher Education, Educational Change, Role of Education
Lozano, José H.; Revuelta, Javier – Educational and Psychological Measurement, 2023
The present paper introduces a general multidimensional model to measure individual differences in learning within a single administration of a test. Learning is assumed to result from practicing the operations involved in solving the items. The model accounts for the possibility that the ability to learn may manifest differently for correct and…
Descriptors: Bayesian Statistics, Learning Processes, Test Items, Item Analysis
Carranza Rogerio, Brenda; Yan, Yu; Cooper, Eric Wallace – International Journal of Technology in Education, 2023
The growing integration of technology into education, particularly in the STEM fields, has tended to focus on its objective advantages, ignoring its affective potential. To explore this potential, based on some principles of "Kansei/Affective Engineering," an initial analysis was conducted considering 501 interventions in a conversation…
Descriptors: Affective Behavior, Feedback (Response), STEM Education, Electronic Learning
Rocamora, Irene; Casey, Ashley; González-Víllora, Sixto; Arias-Palencia, Natalia María – Journal of Teaching in Physical Education, 2023
Purpose: To understand how a season of sport education (SE) and a hybrid SE and cooperative learning season impacted on elementary school students' physical activity levels and motivation and to examine possible differences according to gender. Method: A total of 97 fourth- to fifth-grade students in four intact classes participated in a 14-lesson…
Descriptors: Student Motivation, Elementary School Students, Cooperative Learning, Athletics
Shahbari, Juhaina Awawdeh; Tabach, Michal – International Journal of Mathematical Education in Science and Technology, 2023
Engagement in complex, challenging and multifaceted model-eliciting activities is considered helpful for preparing learners for everyday life. The current study seeks to trace the evolution of modelling routines during two model-eliciting activities. To identify how these routines emerged and evolved, we video-recorded a group of five prospective…
Descriptors: Mathematical Models, Mathematics Instruction, Preservice Teachers, Teacher Education Programs

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