
Rich Shavelson
· Emeritus ProfessorStanford University · Social and Cultural Analysis in Education
Active 1967–2026
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About
Rich Shavelson is an Emeritus Professor at the Stanford Graduate School of Education. His current work focuses on the design of assessments and assessment systems that measure college students' learning, including their development of competence, achievement, and soft skills such as perspective taking. He co-created the Collegiate Learning Assessment with Steve Klein and developed statistical models for estimating value added for the CLA and other college-level assessments. His work in this area is summarized in the book 'Measuring College Student Learning: Accountability in a New Era' (2010, Stanford University Press) and in recent papers on the measurement and statistical modeling of competence. Shavelson's research interests include assessment, testing and measurement, higher education, psychology, and research methods.
Research topics
- Computer Science
- Mathematics education
- Political Science
- Psychology
- Artificial Intelligence
- Data science
- Knowledge management
- World Wide Web
- Management science
- Engineering
Selected publications
Frontiers in Education · 2020 · 57 citations
Senior authorCorrespondingCritical evaluation skills when using online information are considered important in many research and education frameworks; critical thinking and information literacy are cited as key twenty-first century skills for students. Higher education may play a special role in promoting students' skills in critically evaluating (online) sources. Today, higher education students are more likely to use the Internet instead of offline sources such as textbooks when studying for exams. However, far from be…
Performance Assessment of Critical Thinking: Conceptualization, Design, and Implementation
Frontiers in Education · 2020 · 47 citations
Enhancing students’ critical thinking (CT) skills is an essential goal of higher education. This article presents a systematic approach to conceptualizing and measuring CT. CT generally comprises the following mental processes: identifying, evaluating, and analyzing a problem; interpreting information; synthesizing evidence; and reporting a conclusion. We further posit that CT also involves dealing with dilemmas involving ambiguity or conflicts among principles and contradictory information. We…
Frontiers in Psychology · 2020-09-11 · 23 citations
articleOpen accessSenior authorCritical reasoning (CR) when confronted with contradictory information from multiple sources is a crucial ability in a knowledge-based society and digital world. Using information without critically reflecting on the content and its quality may lead to the acceptance of information based on unwarranted claims. Previous personal beliefs are assumed to play a decisive role when it comes to critically differentiating between assertions and claims and warranted knowledge and facts. The role of gener…
Learning and Individual Differences · 2023-02-01 · 12 citations
articleOpen accessSenior authorThe present study examined the associations between grades and self-concept within and between four academic domains from an intraindividual perspective. Further, we explored whether students' subjective domain similarity moderated intraindividual between-domain effects of achievement on self-concept and vice versa. A sample of 756 Swiss high-school students reported on their academic self-concept in mathematics, German (native), English, and French on three measurement occasions across high sch…
Advantages and challenges of performance assessment of student learning in higher education
Elsevier eBooks · 2022-11-18 · 11 citations
book-chapterSenior authorCorresponding
Recent grants
Frequent coauthors
- 193 shared
Gail P. Baxter
Stevens Institute of Technology
- 94 shared
Maria Araceli Ruiz‐Primo
- 66 shared
Xiaohong Gao
- 66 shared
Jerry Pine
- 65 shared
Susan R. Goldman
- 51 shared
Noreen M. Webb
University of California, Los Angeles
- 39 shared
George C. Stanton
- 27 shared
Michael M. Ravitch
Labs
Rich Shavelson LabPI
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