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Lustick, Hilary – Journal of Cases in Educational Leadership, 2022
The current case demonstrates the complexities of utilizing Youth Court as a restorative practice in an urban high school, by focusing on the complexities it presents for one student in particular. In this case, there are reasons why Youth Court clearly is not working at this particular school site as intended. However, more importantly for…
Descriptors: Juvenile Courts, High School Students, Urban Schools, Urban Education
Sim, Mikyung; Kim, Su-Young; Suh, Youngsuk – Educational and Psychological Measurement, 2022
Mediation models have been widely used in many disciplines to better understand the underlying processes between independent and dependent variables. Despite their popularity and importance, the appropriate sample sizes for estimating those models are not well known. Although several approaches (such as Monte Carlo methods) exist, applied…
Descriptors: Sample Size, Statistical Analysis, Predictor Variables, Path Analysis
van Beest, Wilke; Boon, Wouter P. C.; Andriessen, Daan; Pol, Harald; van der Veen, Gerrita; Moors, Ellen H. M. – Research Evaluation, 2022
This study explores the evaluation of research pathways of self-management health innovations from discovery to implementation in the context of practice-based research. The aim is to understand how a new process model for evaluating practice-based research provides insights into the implementation success of innovations. Data were collected from…
Descriptors: Self Management, Health, Innovation, Research
Cevikbas, Mustafa; Kaiser, Gabriele; Schukajlow, Stanislaw – Educational Studies in Mathematics, 2022
Mathematical modelling competencies have become a prominent construct in research on the teaching and learning of mathematical modelling and its applications in recent decades; however, current research is diverse, proposing different theoretical frameworks and a variety of research designs for the measurement and fostering of modelling…
Descriptors: Mathematical Models, Mathematics Skills, Competence, State of the Art Reviews
Arsenault, Tessa L.; Powell, Sarah R. – Learning Disabilities Research & Practice, 2022
Word-problem features such as text complexity, charts and graphs, position of the unknown, calculation complexity, irrelevant information, and schemas impact word-problem performance. We compared the word-problem performance of typically achieving (TA) students and students with mathematics difficulty (MD). First, we measured the word-problem…
Descriptors: Word Problems (Mathematics), Mathematics Achievement, Models, Charts
Guled, Abdiwahab – ProQuest LLC, 2022
This Design-based research study aimed to develop a design framework that would help learning designers to apply learning theory principles when designing learning objects. The study examined the experiential learning theory, information processing theory, and cognitive load theory to develop the iterative learning development (ILD) model. Several…
Descriptors: Learning Theories, Instructional Design, Experiential Learning, Information Processing
Kevan, Jonathan Mark – ProQuest LLC, 2022
Competency-Based Education (CBE) is proposed as a model that can solve some of higher education's current challenges including the one size fits all approach to student learning. CBE targets this issue by focusing on a student autonomy and personalized learning approaches; however, successful implementation of this requires students have a level…
Descriptors: Competency Based Education, Higher Education, Models, Undergraduate Students
Levin, Nathan; Baker, Ryan S.; Nasiar, Nidhi; Fancsali, Stephen; Hutt, Stephen – International Educational Data Mining Society, 2022
Research into "gaming the system" behavior in intelligent tutoring systems (ITS) has been around for almost two decades, and detection has been developed for many ITSs. Machine learning models can detect this behavior in both real-time and in historical data. However, intelligent tutoring system designs often change over time, in terms…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Models, Cheating
Peterson, Quinn A.; Fei, Teng; Sy, Lauren E.; Froeschke, Laura L. O.; Mendelsohn, Abie H.; Berke, Gerald S.; Peterson, David A. – Journal of Speech, Language, and Hearing Research, 2022
Purpose: This study examined the relationship between voice quality and glottal geometry dynamics in patients with adductor spasmodic dysphonia (ADSD). Method: An objective computer vision and machine learning system was developed to extract glottal geometry dynamics from nasolaryngoscopic video recordings for 78 patients with ADSD. General…
Descriptors: Voice Disorders, Patients, Artificial Intelligence, Video Technology
Wolff, Fabian; Möller, Jens – Educational Psychology Review, 2022
Previous research has shown that three comparison types are involved in the formation of students' academic self-concepts: social comparisons (where students compare their achievement with their classmates), dimensional comparisons (where students compare their achievement in different subjects), and temporal comparisons (where students compare…
Descriptors: Students, Self Concept, Academic Achievement, Social Influences
Bulut, Okan; Yildirim-Erbasli, Seyma Nur – International Journal of Assessment Tools in Education, 2022
Reading comprehension is one of the essential skills for students as they make a transition from learning to read to reading to learn. Over the last decade, the increased use of digital learning materials for promoting literacy skills (e.g., oral fluency and reading comprehension) in K-12 classrooms has been a boon for teachers. However, instant…
Descriptors: Reading Comprehension, Natural Language Processing, Artificial Intelligence, Automation
Wermke, Wieland; Jarl, Maria; Prøitz, Tine Sophie; Nordholm, Daniel – Journal of Curriculum Studies, 2022
This article presents the development and application of a model that can be utilized to compare the autonomy of principals in various historical and national contexts. Drawing on former conceptual work on autonomy in education, the model conceptualizes principal autonomy as two-dimensional. The first dimension is the decision making expected from…
Descriptors: Instructional Leadership, Principals, Professional Autonomy, Decision Making
Joo, Seang-Hwane; Lee, Philseok – Journal of Educational Measurement, 2022
Abstract This study proposes a new Bayesian differential item functioning (DIF) detection method using posterior predictive model checking (PPMC). Item fit measures including infit, outfit, observed score distribution (OSD), and Q1 were considered as discrepancy statistics for the PPMC DIF methods. The performance of the PPMC DIF method was…
Descriptors: Test Items, Bayesian Statistics, Monte Carlo Methods, Prediction
Lambert, Joseph M.; Sandstrom, Amanda L.; Hodapp, Robert M.; Copeland, Bailey A.; Paranczak, Jessica L.; Macdonald, M. Janey; Houchins-Juarez, Nealetta J. – Journal of Applied Behavior Analysis, 2022
This paper represents the third in a three-part series intended to challenge the social validity of the services provided by a university-based practicum for addressing the challenging behavior of individuals with disabilities. In this paper, we surveyed referring stakeholders (e.g., parents, teachers) of past service recipients to explore the…
Descriptors: Disabilities, Behavior Problems, Practicums, Universities
Dede, Hülya – International Journal of Progressive Education, 2022
This study aims to evaluate the STEM SOS model based on the opinions of pre-service science teachers. For this aim, the contributions and the challenges of the STEM SOS model to pre-service science teachers were investigated. The participants consisted of 23 pre-service science teachers studying in the 4th grade of science teaching at a state…
Descriptors: STEM Education, Models, Preservice Teachers, Student Attitudes