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Rivera, Jessica; Alexander, E.; Knight, Graham – AERA Online Paper Repository, 2020
Our study explores relationships between postsecondary institutional type, according to the Carnegie classification of institutions, and faculty salaries based on race and gender. Critical Race Theories underpin our questions, including Critical Race Feminism and Quantitative Critical Race Theory. We ran multilevel statistical anaylses (three…
Descriptors: Institutional Characteristics, College Faculty, Teacher Salaries, Race
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Cook, David P.; Steed, Kevin; Read, Chloe; Baysarowich, Renée; Redway, Tyler; Robineau-Charette, Pascale; Carnegie, Jacqueline – HAPS Educator, 2020
STEM-related educational outreach offers students enriching opportunities to become more familiar with science, in terms of how it relates to their daily lives and with respect to possible career paths that they might want to follow. At the same time, graduate student trainees providing that outreach act as important resources for elementary and…
Descriptors: STEM Education, Outreach Programs, Graduate Students, College Graduates
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Almoubayyed, Husni; Fancsali, Stephen E.; Ritter, Steve – Grantee Submission, 2023
Adaptive educational software is likely to better support broader and more diverse sets of learners by considering more comprehensive views (or models) of such learners. For example, recent work proposed making inferences about "non-math" factors like reading comprehension while students used adaptive software for mathematics to better…
Descriptors: Reading Ability, Computer Software, Mathematics Education, Intelligent Tutoring Systems
Fancsali, Stephen E.; Holstein, Kenneth; Sandbothe, Michael; Ritter, Steven; McLaren, Bruce M.; Aleven, Vincent – Grantee Submission, 2020
Extensive literature in artificial intelligence in education focuses on developing automated methods for detecting cases in which students struggle to master content while working with educational software. Such cases have often been called "wheel-spinning," "unproductive persistence," or "unproductive struggle." We…
Descriptors: Artificial Intelligence, Automation, Persistence, Intelligent Tutoring Systems
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Morgan, Bobbette M.; Alcocer, Luis F. – AERA Online Paper Repository, 2016
One hundred and sixteen doctoral students and graduates of a doctoral program in education (N=116) on the Mexico border were asked to complete a survey developed by the Carnegie Initiative on the Doctorate (CID). Forty seven percent of those surveyed responded (n=50). According to the CID developers, Walker, Golde, Jones, Bueschel and Hutchings,…
Descriptors: Hispanic American Students, Doctoral Students, College Graduates, Student Surveys
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Almoubayyed, Husni; Fancsali, Stephen E.; Ritter, Steve – International Educational Data Mining Society, 2023
Recent research seeks to develop more comprehensive learner models for adaptive learning software. For example, models of reading comprehension built using data from students' use of adaptive instructional software for mathematics have recently been developed. These models aim to deliver experiences that consider factors related to learning beyond…
Descriptors: Prediction, Models, Reading Ability, Computer Software
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Mfum-Mensah, Obed – Bulgarian Comparative Education Society, 2019
Beginning in the nineteenth century, a plethora of western Christian and secular philanthropies introduced "top-down" philanthropic initiatives in Sub-Saharan Africa to promote education and "development". There seems to be a complex link between the agendas of international philanthropies and their home governments' broader…
Descriptors: Foreign Policy, Philanthropic Foundations, Educational Development, Social Stratification
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Shulman, Lee – Journal of Catholic Education, 2014
Lee Shulman's keynote address from the Catholic Higher Education Collaborative (CHEC) Conference on Catholic School Financing, University of Notre Dame, September 23, 2013 is presented in this article. He reflects back on serving as the convener of the group's first meeting, at the Carnegie Foundation in California. In this keynote…
Descriptors: Educational Change, Catholic Schools, Speeches, Conferences (Gatherings)
Pogrow, Stanley – National Center on Scaling Up Effective Schools, 2015
There is little discussion in the Design-Based Research (DBR) literature on how to design an intervention that has the potential to be highly effective. The act of designing is usually viewed as engineering something from theory or research on best practices. This paper challenges that universal belief and presents successful design as an…
Descriptors: Intervention, Program Design, Thinking Skills, Creative Thinking
Barron, Kenneth E.; Hulleman, Chris S.; Inouye, R. Bryce; Hartka, Thomas A. – National Center on Scaling Up Effective Schools, 2015
In our session, we showcase work from a researcher-practitioner partnership between James Madison University, the University of Virginia, and Harrisonburg City Public Schools that is focused on developing a continuous improvement process to translate social-psychological interventions into teaching practices that enhance motivation and learning.…
Descriptors: Partnerships in Education, College School Cooperation, Universities, Public Schools
Falakmasir, Mohammad; Yudelson, Michael; Ritter, Steve; Koedinger, Ken – International Educational Data Mining Society, 2015
Bayesian Knowledge Tracing (BKT) has been in wide use for modeling student skill acquisition in Intelligent Tutoring Systems (ITS). BKT tracks and updates student's latent mastery of a skill as a probability distribution of a binary variable. BKT does so by accounting for observed student successes in applying the skill correctly, where success is…
Descriptors: Bayesian Statistics, Models, Skill Development, Intelligent Tutoring Systems
Katsinas, Stephen G.; Kinkead, J. Clint – Online Submission, 2011
At the 2009 meeting of the Association for the Study of Higher Education's Council on Public Policy in Higher Education, Pat Callan, President of the National Center for Public Policy and Higher Education, asserted that Master's Colleges and Universities (MCUs) are the most understudied sector of American higher education. This paper described how…
Descriptors: Higher Education, Classification, Community Colleges, State Colleges
Matsuda, Noboru; Furukawa, Tadanobu; Bier, Norman; Faloutsos, Christos – International Educational Data Mining Society, 2015
How can we automatically determine which skills must be mastered for the successful completion of an online course? Large-scale online courses (e.g., MOOCs) often contain a broad range of contents frequently intended to be a semester's worth of materials; this breadth often makes it difficult to articulate an accurate set of skills and knowledge…
Descriptors: Online Courses, Skills, Automation, Models
Cullinane, Jenna; Treisman, Philip Uri – National Center for Postsecondary Research, 2010
Developmental education has the mission of enabling underprepared students to acquire the capabilities necessary for college success. A growing number of research studies document its failure, however; specifically, approximately two thirds of community college students referred to a remedial mathematics sequence do not complete it. In response to…
Descriptors: Curriculum Design, Mathematics Education, Community Colleges, Remedial Mathematics
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Delaney, Jennifer A.; Kearney, Tyler D. – Journal of Education Finance, 2015
This study explores the impact of state-level guaranteed tuition laws on state general appropriations for higher education. Using the "Truth-in-Tuition" law that was implemented in Illinois in 2004 as the treatment condition, this study analyzes data from 2000-2012. To test the direction and size of the effect on state general…
Descriptors: Tuition, State Aid, Higher Education, State Legislation
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