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Ibrahim Burak Ölmez; Andrew Izsák – Journal of Mathematics Teacher Education, 2024
In prior work, we fit the mixture Rasch model to item responses from a fractions survey administered to a nationwide sample of middle grades mathematics teachers in the United States. The mixture Rasch model located teachers on a continuous, unidimensional scale and fit best with 3 latent classes. We used item response data to generate initial…
Descriptors: Fractions, Mathematics Teachers, Mathematical Logic, Arithmetic
Yadira Peralta; Nidhi Kohli; Panayiota Kendeou; Mark L. Davison; Eric F. Lock – Reading and Writing: An Interdisciplinary Journal, 2024
The relation between reading and mathematics achievement is an active area of research, and evidence in the extant literature suggests they are closely related. However, there is a lack of understanding about how their relation develops over time. Indeed, traditional longitudinal analyses have focused on investigating each domain independently,…
Descriptors: Learning Trajectories, Reading Achievement, Mathematics Achievement, Models
Sanchez, Jafeth E. – Journal of Extension, 2023
One Extension Specialist implemented a STEM pilot robotics program across three middle school settings. A program evaluation to provide guidance and recommendations for future development, implementation, and continued evaluation was conducted as part of a larger study. This process led to the development of a condensed STEM survey that can be…
Descriptors: Extension Education, Extension Agents, STEM Education, Robotics
Jingping Sun; Jiangang Xia; Cheng Hua; Kaiwen Man; Bob L. Johnson Jr. – Educational Administration Quarterly, 2024
Purpose: There is little consensus in the literature regarding a) what it means for a school leader to lead with data, and b) how to measure data-informed leadership in a reliable and valid way. This study examines the psychometric properties of an operational measure intended to assess the extent to which a school leader is a data-informed school…
Descriptors: Psychometrics, Data Use, Leadership, Surveys
Youmi Suk – Journal of Educational and Behavioral Statistics, 2024
Machine learning (ML) methods for causal inference have gained popularity due to their flexibility to predict the outcome model and the propensity score. In this article, we provide a within-group approach for ML-based causal inference methods in order to robustly estimate average treatment effects in multilevel studies when there is cluster-level…
Descriptors: Artificial Intelligence, Causal Models, Statistical Inference, Maximum Likelihood Statistics
Christopher Cleveland; Ethan Scherer – Annenberg Institute for School Reform at Brown University, 2024
Education leaders must identify valid metrics to predict student long-term success. We exploit a unique dataset containing data on cognitive skills, self-regulation, behavior, course performance, and test scores for 8th-grade students. We link these data to data on students' high school outcomes, college enrollment, persistence, and on-time degree…
Descriptors: Surveys, Thinking Skills, Self Management, Student Behavior
Ben D. Kern; Wesley J. Wilson; Chad Killian; Hans van der Mars; Kelly Simonton; David Woo; Tristan Wallhead – Journal of Teaching in Physical Education, 2025
Purpose: Our purpose was to gather and evaluate accurate, up-to-date information on physical education (PE) policy implementation across multiple U.S. states and regions. Methods: A U.S. Physical Education and Physical Activity Policy questionnaire was developed and completed by 4,845 public-school PE teachers from 25 U.S. states. The U.S.…
Descriptors: Access to Education, Physical Education, Public Schools, Regional Characteristics
Soland, James – Educational and Psychological Measurement, 2022
Considerable thought is often put into designing randomized control trials (RCTs). From power analyses and complex sampling designs implemented preintervention to nuanced quasi-experimental models used to estimate treatment effects postintervention, RCT design can be quite complicated. Yet when psychological constructs measured using survey scales…
Descriptors: Item Response Theory, Surveys, Scoring, Randomized Controlled Trials
Three-Dimensional Science: "The Use of Engineering Design Challenges to Teach Middle School Science"
Porzillo, Allison – ProQuest LLC, 2022
This convergent mixed methods study sought to explore the effects of engineering design challenges (EDCs) on middle school students' achievement. Data was collected from four middle schools from an urban school district in Maryland. Two of these, Group A, included teachers with experience with EDC design and implementation; the other two schools,…
Descriptors: Engineering Education, Science Instruction, Design, Middle School Teachers
Yi-Hsuan Lee; Yue Jia – Applied Measurement in Education, 2024
Test-taking experience is a consequence of the interaction between students and assessment properties. We define a new notion, rapid-pacing behavior, to reflect two types of test-taking experience -- disengagement and speededness. To identify rapid-pacing behavior, we extend existing methods to develop response-time thresholds for individual items…
Descriptors: Adaptive Testing, Reaction Time, Item Response Theory, Test Format
Roof, Holly; Chimuma, Lilian – Educational Research: Theory and Practice, 2022
Science, Technology, Engineering, and Math (STEM) education is considered critical and valid for the modern workforce which is strongly enveloped in technology. Therefore, it is imperative to reinforce science and math education and knowledge among students early in their educations. Despite this understanding, most research has focused on the…
Descriptors: Reading Achievement, Mathematics Achievement, Science Achievement, STEM Education
Choice of Pedagogical Agents as Virtual Math Tutors: Perspectives from Children and College Students
Huang, Xiaoxia; Mathews, Justin L.; Hsiao, E-Ling – Journal of Educators Online, 2022
The central research question of this empirical study was: How do student demographics, math self-efficacy, and math anxiety relate to and predict their choice of pedagogical agents serving as virtual math tutors? A total of 152 middle school students and 135 college students were surveyed on their perceived math self-efficacy, math anxiety, and…
Descriptors: Tutoring, Mathematics Instruction, Middle School Students, College Students
Sökmen, Yavuz – Educational Studies, 2021
This study investigated middle school students' behavioural, emotional, cognitive, and agentic engagement in science in relation to self-efficacy and learning environment variables. Learning environment variables addressed in the study were shared control, student negotiation, promoting mutual respect, and teacher feedback. Participants of the…
Descriptors: Self Efficacy, Educational Environment, Learner Engagement, Middle School Students
Simonton, Kelly L.; Garn, Alex C. – European Physical Education Review, 2020
Discrete emotions provide a lens for understanding students' subjective experiences in physical education (PE). Enjoyment of PE is one discrete emotion that receives a great deal of attention because it promotes students' interest and engagement. However, the implications of students' negative emotions toward PE remain less clear. Therefore, the…
Descriptors: Psychological Patterns, Predictor Variables, Student Behavior, Middle School Students
Atteberry, Allison C.; McEachin, Andrew J. – Educational Researcher, 2020
The Equality of Educational Opportunity Study (1966)--the Coleman Report--lodged a key takeaway in the minds of educators, researchers, and parents: Schools do not strongly shape students' achievement outcomes. This finding has been influential to the field; however, Coleman himself suggested that--had longitudinal data been available to…
Descriptors: Academic Achievement, School Effectiveness, Educational Research, Replication (Evaluation)