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Christina Weiland; Rebecca Unterman; Susan Dynarski; Rachel Abenavoli; Howard Bloom; Breno Braga; Anne-Marie Faria; Erica Greenberg; Brian A. Jacob; Jane Arnold Lincove; Karen Manship; Meghan McCormick; Luke Miratrix; Tomás E. Monarrez; Pamela Morris-Perez; Anna Shapiro; Jon Valant; Lindsay Weixler – AERA Open, 2024
Lottery-based identification strategies offer potential for generating the next generation of evidence on U.S. early education programs. The authors' collaborative network of five research teams applying this design in early education settings and methods experts has identified six challenges that need to be carefully considered in this next…
Descriptors: Early Childhood Education, Program Evaluation, Evaluation Methods, Admission (School)
Lauren Sartain; Wesley T. Morris – AERA Open, 2024
Nationally, teachers have experienced major changes in how their performance is evaluated. Teacher satisfaction with the evaluation system likely influences whether they will use the evaluation data to make instructional improvements, yet we know little about teachers' perceptions of their evaluations. Using survey data from Chicago Public…
Descriptors: Teacher Attitudes, Satisfaction, Teacher Evaluation, Public School Teachers
Kylie Anglin – AERA Open, 2024
Given the rapid adoption of machine learning methods by education researchers, and the growing acknowledgment of their inherent risks, there is an urgent need for tailored methodological guidance on how to improve and evaluate the validity of inferences drawn from these methods. Drawing on an integrative literature review and extending a…
Descriptors: Validity, Artificial Intelligence, Models, Best Practices
Teresa M. Ober; Ying Cheng; Matthew F. Carter; Cheng Liu – AERA Open, 2023
We investigated how the transition to remote instruction during the COVID-19 pandemic affected students' engagement, self-appraisals, and learning in advanced placement (AP) Statistics courses. Participants included 681 (M[subscript age]=16.7 years, SD[subscript age]=0.90; %female=55.4) students enrolled in the course during 2017-2018 (N=266),…
Descriptors: COVID-19, Pandemics, Learner Engagement, Self Evaluation (Individuals)
Roy, Sudipta; Brown, Shannon – AERA Open, 2022
Higher education in India was caught completely unawares by the COVID-19 pandemic and the necessitated closure of educational institutions. Despite almost a decade of experience with online and distance learning at some top-tier and private institutions, the vast majority were unprepared and looked for quick solutions for different components of…
Descriptors: Foreign Countries, COVID-19, Pandemics, School Closing
A. Brooks Bowden – AERA Open, 2023
Although experimental evaluations have been labeled the "gold standard" of evidence for policy (U.S. Department of Education, 2003), evaluations without an analysis of costs are not sufficient for policymaking (Monk, 1995; Ross et al., 2007). Funding organizations now require cost-effectiveness data in most evaluations of effects. Yet,…
Descriptors: Cost Effectiveness, Program Evaluation, Economics, Educational Finance
Jacqueline Cerda-Smith; Paula K. S. Yust; Molly S. Weeks; Steven R. Asher; Kelly Lynn Mulvey – AERA Open, 2024
This manuscript describes our effort to apply a novel approach to understanding student outcomes associated with a schoolwide antiracist intervention. We report a multimethod quantitative approach to evaluate a 10-week antiracist intervention designed and implemented by school staff by examining patterns of student intervention engagement and…
Descriptors: Curriculum Evaluation, Racism, Social Justice, Multicultural Education
Cellini, Stephanie Riegg; Grueso, Hernando – AERA Open, 2021
We draw on administrative data from the country of Colombia to assess differences in student learning in online and traditional on-campus college programs. The Colombian context is uniquely suited to study this topic, as students take a compulsory exit examination at the end of their studies. We can therefore directly compare the performance on…
Descriptors: Online Courses, Foreign Countries, Exit Examinations, Student Evaluation
Courey, Karyssa A.; Lee, Michael D. – AERA Open, 2021
Student evaluations of teaching are widely used to assess instructors and courses. Using a model-based approach and Bayesian methods, we examine how the direction of the scale, labels on scales, and the number of options affect the ratings. We conduct a within-participants experiment in which respondents evaluate instructors and lectures using…
Descriptors: Student Evaluation of Teacher Performance, Rating Scales, Response Style (Tests), College Students
Klint Kanopka; Susana Claro; Susanna Loeb; Martin West; Hans Fricke – AERA Open, 2024
Prior work has shown that students' self-reported levels on social-emotional measures predict achievement levels and gains, but we have little evidence on whether within-student changes in self-reports on social-emotional surveys are predictive of changes in theoretically related academic and behavioral outcomes. We use large-scale data from the…
Descriptors: Social Emotional Learning, Interpersonal Competence, Self Evaluation (Individuals), Longitudinal Studies
Katherine J. Strickland; Wendy Chan; Michael Gottfried; Jiexuan Huang; Daniel Hildreth – AERA Open, 2024
The Gifted and Talented program in New York City is one of the largest and longest running programs for gifted students in the nation. Yet little is known about its effects on student outcomes. Using student-level administrative data of New York City public school students between the 2010--2011 and 2018-2019 academic years, we studied the effects…
Descriptors: Gifted Education, Academically Gifted, Gifted, Student Evaluation
Littenberg-Tobias, Joshua; Borneman, Elizabeth; Reich, Justin – AERA Open, 2021
Diversity, equity, and inclusion (DEI) issues are urgent in education. We developed and evaluated a massive open online course (N = 963) with embedded equity simulations that attempted to equip educators with equity teaching practices. Applying a structural topic model (STM)--a type of natural language processing (NLP)--we examined how…
Descriptors: Natural Language Processing, Equal Education, Educational Change, Computer Simulation
Sarah McGrew; Joel Breakstone – AERA Open, 2023
Given the current threat posed by toxic digital content, preparing students to evaluate online sources cannot be relegated to a single subject area--this instruction should happen across the curriculum. This article focuses on materials designed to teach students to evaluate online information across subject areas. ninth-grade biology and world…
Descriptors: Civics, Digital Literacy, Evaluative Thinking, Information Sources
Tang, Fang; Zhan, Peida – AERA Open, 2021
Assessment for learning emphasizes the importance of feedback to promote learning. To explore whether cognitive diagnostic feedback (CDF) promotes learning and whether it is more effective than traditional feedback in promoting learning, this study conducted a quasi-experiment by utilizing a longitudinal cognitive diagnostic assessment to compare…
Descriptors: Student Evaluation, Feedback (Response), Cognitive Tests, Instructional Effectiveness
Trang Pham; Stephanie Potochnick – AERA Open, 2024
Given the prominence of international instructors in higher education, understanding their grading practices is essential for informing college grading debates. This first large-scale assessment of undergraduate grading practices highlights how different demographic, classroom and departmental factors shape international instructors' grading…
Descriptors: Undergraduate Students, Grading, Educational Practices, College Faculty
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