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Christopher Cotton; Brent R. Hickman; John A. List; Joseph Price; Sutanuka Roy – National Bureau of Economic Research, 2025
Using field-experimental data (study-time tracking and randomized incentives), we identify a structural model of learning. Student effort is influenced by external costs/benefits and unobserved heterogeneity: motivation (willingness to study) and productivity (conversion rate of time into skill). We estimate academic labor-supply elasticities and…
Descriptors: Homework, Low Achievement, Student Motivation, Human Capital
Iman YeckehZaare; Paul Resnick – npj Science of Learning, 2025
Spacing and retrieval practice enhance learning, but students often underuse these strategies. We tested a simple grading incentive, which we call Counting Days, in two RCTs: one randomizing 143 students within a course and another randomizing 71 instructors. The "counting questions" control condition awarded points for each practice…
Descriptors: Learning Strategies, Pacing, Intervals, Incentives
Ishtiaque Fazlul; Cory Koedel; Eric Parsons – Educational Evaluation and Policy Analysis, 2025
Measures of student disadvantage--or risk--are critical components of equity-focused education policies. However, the risk measures used in contemporary policies have significant limitations, and despite continued advances in data infrastructure and analytic capacity, there has been little innovation in these measures for decades. We develop a new…
Descriptors: At Risk Students, Public Schools, Identification, Academic Achievement
Han Bum Lee; Michael U. Villarreal – Journal of Education for Students Placed at Risk, 2023
This study examined the effect of dual enrollment (DE) on college enrollment and degree completion for students with lower prior academic achievement who attended public high schools in Texas. We employed a propensity score matching method to reduce selection bias arising from DE participation and supplemented the analysis with a bounds test. The…
Descriptors: At Risk Students, Dual Enrollment, Low Achievement, High School Students
Qianru Lyu; Wenli Chen; Amelia Yeo; Kok Hui John Gerard Heng; Yuhan Wang; Junzhu Su – International Journal of Technology and Design Education, 2025
Collaborative learning plays an instrumental role in productive engineering design, during which students employ multiple communication channels simultaneously to co-construct and negotiate ideas. However, existing literature on the design process mostly focused on students' verbal discussion, overlooking hand gestures during design discourses.…
Descriptors: Human Body, Design, Nonverbal Communication, Task Analysis
Zahra Zarei Hajiabadi; John Sandars; Roghayeh Gandomkar – Anatomical Sciences Education, 2025
The aim of this study was to explore the longitudinal development of the key self-regulated learning (SRL) processes in medical students with low-academic performance during a combined SRL diary intervention. Second-year medical students with low-academic performance completed a weekly online combined SRL diary intervention (explicit SRL…
Descriptors: Medical Students, Academic Achievement, Low Achievement, Independent Study
Carrie Conaway; Elizabeth Tipton; Alfredo J. Artiles – Teachers College Record, 2024
If our goal in education research is to produce knowledge that is useful and used, we need to design impact evaluations that value understanding variation as much as understanding average impact. The context in which an intervention is implemented and the characteristics of participants are integral components of the intervention, and we need to…
Descriptors: Educational Research, Intervention, Individual Characteristics, Research Methodology
Kurt VanLehn; Fabio Milner; Chandrani Banerjee; Jon Wetzel – International Journal of Artificial Intelligence in Education, 2024
An algebraic model uses a set of algebraic equations to describe a situation. Constructing such models is a fundamental skill, but many students still lack the skill, even after taking several algebra courses in high school and college. For such students, we developed instruction that taught students to decompose the to-be-modelled situation into…
Descriptors: Algebra, Mathematical Models, Low Achievement, Mathematics Instruction
Colbourne, Shoy – ProQuest LLC, 2023
The demands placed on principals to meet the wide range of needs present within the learning community continue to expand within the context of school reform. While there is some research on the ideals of successful turnaround school reform strategies, there is a lack of research on the essential key levers it takes to reform a school and district…
Descriptors: School Turnaround, Low Achievement, School Districts, Accountability
Sabine Schlag; Sabine Glock – Instructional Science: An International Journal of the Learning Sciences, 2025
Research has shown that, in general, students are treated differently on the basis of their achievement levels and ethnicity. Such differential treatment might also result in the administration of different learning materials, and so far, not much is known about how teachers choose these materials for different students. In two vignette studies,…
Descriptors: Ethnicity, Instructional Materials, Preservice Teachers, Video Technology
Laura Quick – Routledge, Taylor & Francis Group, 2025
This book offers a much-needed look at the impact of our attainment-driven education system on those children considered 'low attainers'. It reveals how difficult they find it to feel good about themselves, their capacity to learn and their futures, as well as shedding light on the role schools are playing in maintaining inequality and the…
Descriptors: Elementary School Students, Student Attitudes, Low Achievement, Academic Achievement
Gregory Elacqua; Diana Hincapié; Matías Martínez – Education Finance and Policy, 2024
This paper estimates the effects of a school accountability policy on year-to-year teacher mobility in publicly and privately managed low-performing schools in Chile. As school ranking depends on the institution's relative position according to a set of variables and their corresponding thresholds, we use a multivariate regression discontinuity…
Descriptors: Accountability, Public School Teachers, Private Schools, Teachers
Geraci, Lisa; Kurpad, Nayantara; Tirso, Robert; Gray, Kathryn N.; Wang, Yan – Metacognition and Learning, 2023
Students often make incorrect predictions about their exam performance, with the lowest-performing students showing the greatest inaccuracies in their predictions. The reasons why low-performing students make inaccurate predictions are not fully understood. In two studies, we tested the hypothesis that low-performing students erroneously predict…
Descriptors: Prediction, Tests, Scores, Low Achievement
Leong, Yew Hoong – Mathematics Education Research Journal, 2023
Self-efficacy is a subject of ongoing intense research in cognitive psychology. Studies within this tradition are focused on how this agentic aspect of human functioning fits within and contributes to a network of other sociocognitive functionalities. From a mathematics education perspective, we seek a theoretical re-framing of self-efficacy that…
Descriptors: Foreign Countries, Self Efficacy, Mathematics Education, Low Achievement
Zachariah Bobby; V. Devanatha Desikan; Z. Zayapragassarazan – Biochemistry and Molecular Biology Education, 2025
Concept mapping is an active learning strategy promoting self-directed learning. The intellectual involvement in the preparation of concept mapping is a learning process. We tested the utility of concept mapping in improving self-directed learning among medical graduate students in Biochemistry. The study was conducted among first-year…
Descriptors: Concept Mapping, Independent Study, Graduate Students, Medical Students

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