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Wodtke, Geoffrey T. – Sociological Methods & Research, 2020
Social scientists are often interested in estimating the marginal effects of a time-varying treatment on an end-of-study continuous outcome. With observational data, estimating these effects is complicated by the presence of time-varying confounders affected by prior treatments, which may lead to bias in conventional regression and matching…
Descriptors: Regression (Statistics), Computation, Statistical Analysis, Statistical Bias
Michelle L. Bianco – ProQuest LLC, 2024
The purpose of this quantitative, non-experimental, causal-comparative study is to determine if there is a difference in the writing motivation of students with attention-deficit/hyperactivity disorder (ADHD) and students without ADHD in online college composition I courses. The study of writing motivation in relation to ADHD in online college…
Descriptors: Student Motivation, Attention Deficit Hyperactivity Disorder, Electronic Learning, Writing Instruction
Keith Cochran; Clayton Cohn; Peter Hastings; Noriko Tomuro; Simon Hughes – International Journal of Artificial Intelligence in Education, 2024
To succeed in the information age, students need to learn to communicate their understanding of complex topics effectively. This is reflected in both educational standards and standardized tests. To improve their writing ability for highly structured domains like scientific explanations, students need feedback that accurately reflects the…
Descriptors: Science Process Skills, Scientific Literacy, Scientific Concepts, Concept Formation
Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
Gail Crimmins; Elvessa Marshall; Gemma J. M. Read – Gender and Education, 2024
The paper examines a 'circulatory' system of gender inequity in Australian universities where gender bias prevents women from accessing senior decision-making roles and stultifies their capacity to act as gender change agents. It has been mooted that equity quotas for senior roles can derail this circuit of male privilege in academia. Yet a…
Descriptors: Foreign Countries, Sex Fairness, Universities, Gender Bias
Yanping Pei; Adam Sales; Johann Gagnon-Bartsch – Grantee Submission, 2024
Randomized A/B tests within online learning platforms enable us to draw unbiased causal estimators. However, precise estimates of treatment effects can be challenging due to minimal participation, resulting in underpowered A/B tests. Recent advancements indicate that leveraging auxiliary information from detailed logs and employing design-based…
Descriptors: Randomized Controlled Trials, Learning Management Systems, Causal Models, Learning Analytics
Elwert, Felix; Pfeffer, Fabian T. – Sociological Methods & Research, 2022
Conventional advice discourages controlling for postoutcome variables in regression analysis. By contrast, we show that controlling for commonly available postoutcome (i.e., future) values of the treatment variable can help detect, reduce, and even remove omitted variable bias (unobserved confounding). The premise is that the same unobserved…
Descriptors: Bias, Regression (Statistics), Evaluation Methods, Research
Yang, Hsi-Hsun; Lin, Yi-Tzu – SAGE Open, 2022
College students' graduation projects reflect their teamwork abilities. The current research develops a practical framework and causal model of knowledge-sharing behavior, cohesion, and team performance for design college students in Taiwan. Using survey data collected from 115 students who completed their graduation projects in a design college,…
Descriptors: College Students, Student Projects, Design, Teamwork
Wilhelmina van Dijk; Cynthia U. Norris; Sara A. Hart – Grantee Submission, 2022
Randomized control trials are considered the pinnacle for causal inference. In many cases, however, randomization of participants in social work research studies is not feasible or ethical. This paper introduces the co-twin control design study as an alternative quasi-experimental design to provide evidence of causal mechanisms when randomization…
Descriptors: Twins, Research Design, Randomized Controlled Trials, Quasiexperimental Design
Kylie Anglin – Society for Research on Educational Effectiveness, 2022
Background: For decades, education researchers have relied on the work of Campbell, Cook, and Shadish to help guide their thinking about valid impact estimates in the social sciences (Campbell & Stanley, 1963; Shadish et al., 2002). The foundation of this work is the "validity typology" and its associated "threats to…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Validity
Goeddeke, Anna; Taschner, Andreas – Assessment & Evaluation in Higher Education, 2023
Student--faculty interactions that promote learning are essential contributors to student retention, academic success and satisfaction. But the factors that causally initiate and frame these interactions are not well understood. Only if students evaluate these interactions as positive will they seek them. We conducted a survey experiment with…
Descriptors: Foreign Countries, Causal Models, Teacher Student Relationship, Interaction
de Lemos, Ana Rodrigues; Mendes, Sofia; Leal, Teresa – International Journal of School & Educational Psychology, 2023
Extensive literature on school misbehavior has largely focused on teachers' perceptions of the most frequent and troublesome classroom behaviors and the most commonly used strategies to manage them. Students' perspectives on this topic have received comparatively little attention and most of the few existing studies were conducted with secondary…
Descriptors: Elementary School Students, Student Attitudes, Student Behavior, Behavior Problems
Alexandra O. Gil; Franklin Dickerson Turner; Aaron A. Gubi – Journal of Research Initiatives, 2023
This study explored the relationship between multicultural distress and general stress symptoms and the academic achievement of college students attending a Minority-Serving Institution (MSI). Research suggests that students who identify as being from a racial or ethnic minority background are likely to experience multicultural distress. Such…
Descriptors: Undergraduate Students, Minority Group Students, Minority Serving Institutions, Racial Discrimination
Vikesh Amin; Jere R. Behrman; Jason M. Fletcher; Carlos A. Flores; Alfonso Flores-Lagunes; Iliana Kohler; Hans-Peter Kohler; Shana D. Stites – W. E. Upjohn Institute for Employment Research, 2025
Higher schooling attainment is associated with better cognitive function at older ages, but it remains unclear whether the relationship is causal. We estimate causal effects of schooling on performances on the Consortium to Establish a Registry for Alzheimer's Disease (CERAD) word-recall (memory) test at older ages in China, Ghana, India, Mexico,…
Descriptors: Outcomes of Education, Memory, Older Adults, Cognitive Processes
Sharma, Kshitij; Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Journal of Computer Assisted Learning, 2021
When students are working collaboratively and communicating verbally in a technology-enhanced environment, the system cannot track what collaboration is happening outside of the technology, making it difficult to fully assess the collaboration of the students and adapt accordingly. In this article, we propose using gaze measures as a proxy for…
Descriptors: Cooperative Learning, Interpersonal Communication, Eye Movements, Problem Solving

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