What is he best known for?
The fields of study he is best known for:
- Statistics
- Management
- Medical education
Julian R. Betts focuses on Mathematics education, Demographic economics, Earnings, Academic achievement and Class size.
His Value-added modeling study, which is part of a larger body of work in Mathematics education, is frequently linked to Ceiling effect, bridging the gap between disciplines.
His Demographic economics research incorporates themes from Family income, Logit and Human capital theory.
His study in Earnings is interdisciplinary in nature, drawing from both Peer effects, Management, Graduation, Educational standards and Distribution.
Julian R. Betts usually deals with Academic achievement and limits it to topics linked to Test and Educational attainment, Entry Level and Affect.
His Class size research incorporates elements of Secondary education, Student achievement, Teacher education and Human capital.
His most cited work include:
- Does School Quality Matter? Evidence from the National Longitudinal Survey of Youth (278 citations)
- What Do Students Know about Wages? Evidence from a Survey of Undergraduates. (240 citations)
- Equal Resources, Equal Outcomes? The Distribution of School Resources and Student Achievement in California (239 citations)
What are the main themes of his work throughout his whole career to date?
Mathematics education, Demographic economics, Academic achievement, Earnings and Labour economics are his primary areas of study.
His Mathematics education research is multidisciplinary, incorporating perspectives in Test, Production and Pedagogy.
His research in Demographic economics intersects with topics in Crowding out and Graduation.
Julian R. Betts works mostly in the field of Crowding out, limiting it down to concerns involving Inclusion and, occasionally, Affect.
His biological study spans a wide range of topics, including Academic standards, Language fluency, At-risk students and Curriculum.
His Earnings study deals with Educational attainment intersecting with Wage.
He most often published in these fields:
- Mathematics education (39.57%)
- Demographic economics (43.88%)
- Academic achievement (17.99%)
What were the highlights of his more recent work (between 2012-2020)?
- Mathematics education (39.57%)
- Graduation (12.95%)
- Test (7.91%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Mathematics education, Graduation, Test, Standardized test and Academic achievement.
His research on Mathematics education often connects related topics like Quantitative analysis.
His Graduation research focuses on Regression discontinuity design and how it connects with Developing country and Ask price.
His Standardized test research integrates issues from Artificial intelligence and Natural language processing.
His research investigates the link between Academic achievement and topics such as Language fluency that cross with problems in Fluency.
His Language arts research is multidisciplinary, relying on both Language proficiency, Student achievement and Educational method.
Between 2012 and 2020, his most popular works were:
- A Meta-Analysis of the Literature on the Effect of Charter Schools on Student Achievement. (17 citations)
- Can testing improve student learning? An evaluation of the mathematics diagnostic testing project (4 citations)
- Academic Progress for English Learners: The Role of School Language Environment and Course Placement in Grades 6-12. (1 citations)
In his most recent research, the most cited papers focused on:
- Statistics
- Management
- Pedagogy
His scientific interests lie mostly in Mathematics education, Test, Academic achievement, Language fluency and Graduation.
His study in the fields of Language arts and Student achievement under the domain of Mathematics education overlaps with other disciplines such as Location.
The Language arts study combines topics in areas such as Preparatory school and Educational method.
Julian R. Betts combines subjects such as Ask price, Student learning and Regression discontinuity design with his study of Test.
His work deals with themes such as Language proficiency, Regression analysis and Fluency, which intersect with Academic achievement.
His Graduation research includes themes of Academic preparation and Coursework.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
