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Download full textHillman, Nick – Institute for College Access & Success, 2022
The Pell Grant is targeted to students with the greatest financial need, and many policymakers find the Pell Grant a useful policy lever for promoting access and success for students from lower- and moderate-income backgrounds. There are several examples where policymakers use Pell eligibility to allocate resources and hold colleges accountable…
Descriptors: Federal Aid, Grants, Access to Education, Enrollment
Mathematical Tools for Real-World Applications: A Gentle Introduction for Students and Practitioners
Direct linkDraganov, Alexandr – MIT Press, 2022
Techniques for applying mathematical concepts in the real world: six rarely taught but crucial tools for analysis, research, and problem-solving. Many young graduates leave school with a solid knowledge of mathematical concepts but struggle to apply these concepts in practice. Real scientific and engineering problems are different from those found…
Descriptors: Mathematical Concepts, Relevance (Education), College Mathematics, Engineering
Peer reviewedZorluoglu, Seraceddin Levent; Yalçinkaya Önder, Eylem; Timur, Betül; Timur, Serkan; Güvenç, Elif; Özergun, Ilgim; Özdemir, Muzaffer – Journal of Baltic Science Education, 2022
Science education focuses on the methods of thinking about and using process skills rather than memorizing scientific facts. 5E educational model aims to learn by discovering scientific knowledge and engaging students in learning environments. The aim of this study was to examine the articles in the field of education related to the 5E educational…
Descriptors: Science Process Skills, Models, Science Instruction, Teaching Methods
Hebbecker, Karin; Förster, Natalie; Forthmann, Boris; Souvignier, Elmar – Journal of Educational Psychology, 2022
The idea of data-based decision-making (DBDM) at the classroom level is that teachers use assessment data to adapt their instruction to students' individual needs and thus improve students' learning progress. In this study, we first investigate this theoretically assumed DBDM process, and second, we evaluate the effectiveness of teacher support on…
Descriptors: Data Use, Evidence Based Practice, Decision Making, Formative Evaluation
Black, Alison – Emotional & Behavioural Difficulties, 2022
This article explores and presents various statistics regarding permanent school exclusions in England. Publically available national data, e.g. "Permanent" and "fixed-period exclusions in England" (Department for Education, 2021a), are used to identify patterns and thus provide an overview of the number, profile and…
Descriptors: Expulsion, Foreign Countries, Data Analysis, Profiles
Saatcioglu, Fatima Munevver; Atar, Hakan Yavuz – International Journal of Assessment Tools in Education, 2022
This study aims to examine the effects of mixture item response theory (IRT) models on item parameter estimation and classification accuracy under different conditions. The manipulated variables of the simulation study are set as mixture IRT models (Rasch, 2PL, 3PL); sample size (600, 1000); the number of items (10, 30); the number of latent…
Descriptors: Accuracy, Classification, Item Response Theory, Programming Languages
Killion, Joellen; Sommers, William A.; Delehant, Ann – Solution Tree, 2022
Collaborative staff development in education is the vehicle to student success, and research shows that the closer professional learning is to daily practice, the more meaningful and impactful it will be. Written with deep respect for the work educators do in their classrooms each day, this practical resource illustrates the importance of…
Descriptors: Professional Development, Workplace Learning, Cooperation, Cooperative Learning
Sneed, Stacey; Nguyen, Chau H. P.; Eubank, Chrissy L. – International Journal of Adult Education and Technology, 2020
Case study has been one of the most often used qualitative research methodologies in the field of education at all levels -- from preschool to adult. Yet the number of available resources for case study researchers--be they emerging or experienced--is still limited. This paper will review the definition of the case study method as well as some of…
Descriptors: Case Studies, Research Methodology, Qualitative Research, Educational Research
Pillutla, Venkata Sai; Tawfik, Andrew A.; Giabbanelli, Philippe J. – Technology, Knowledge and Learning, 2020
In massive open online courses (MOOCs), learners can interact with each other using discussion boards. Automatically inferring the states or needs of learners from their posts is of interest to instructors, who are faced with a high attrition in MOOCs. Machine learning has previously been successfully used to identify states such as confusion or…
Descriptors: Learning Processes, Online Courses, Data Collection, Data Analysis
Yildirim, Tamer – Eurasian Journal of Educational Research, 2020
Purpose: This study analyzes the content of doctoral theses completed in chemistry education within the last two decades (1999-2019) after the restructuring of education faculties in Turkey. This study examines the doctoral dissertations completed in chemistry education in 1999-2019 concerning their year of publication, university, objective,…
Descriptors: Foreign Countries, Doctoral Dissertations, Chemistry, Science Education
Yousafzai, Bashir Khan; Hayat, Maqsood; Afzal, Sher – Education and Information Technologies, 2020
The presented work is a student marks and grade prediction system using supervised machine learning techniques, the system is developed on the historic performance of students. The data used in this research is collected from Federal Board of Intermediate and Secondary Education Islamabad Pakistan, there are 7 regions in FBISE i.e. Punjab, Sindh,…
Descriptors: Artificial Intelligence, Foreign Countries, Prediction, Grades (Scholastic)
Zheng, Henry Y.; Mayberry, Eric; Stanley, Leanne – New Directions for Institutional Research, 2020
Data analytics is increasingly important to the operations and strategic growth of higher education institutions. In September 2019, three higher education professional associations issued a rare joint statement calling for the accelerated investment and intensified efforts to develop and deploy data analytics in support of campus decision making.…
Descriptors: Data Analysis, Decision Making, State Universities, Crisis Management
Winter, Sonja D.; Depaoli, Sarah – International Journal of Behavioral Development, 2020
This article illustrates the Bayesian approximate measurement invariance (MI) approach in Mplus with longitudinal data and small sample size. Approximate MI incorporates zero-mean small variance prior distributions on the differences between parameter estimates over time. Contrary to traditional invariance testing methods, where exact invariance…
Descriptors: Bayesian Statistics, Measurement, Data Analysis, Sample Size
Stephens, Paul; Young, Jacob – Information Systems Education Journal, 2020
We describe a "Day of Giving" university fundraising event that can be used to introduce data visualization to undergraduate students. The project involves integrating data sources, creating a Tableau data model, and designing a heat map that can be embedded into a front-end website. Our activity provides opportunities to discuss various…
Descriptors: Data Analysis, Visualization, Experiential Learning, Learning Activities
Mansolf, Maxwell; Vreeker, Annabel; Reise, Steven P.; Freimer, Nelson B.; Glahn, David C.; Gur, Raquel E.; Moore, Tyler M.; Pato, Carlos N.; Pato, Michele T.; Palotie, Aarno; Holm, Minna; Suvisaari, Jaana; Partonen, Timo; Kieseppä, Tuula; Paunio, Tiina; Boks, Marco; Kahn, René; Ophoff, Roel A.; Bearden, Carrie E.; Loohuis, Loes Olde; Teshiba, Terri; deGeorge, Daniella; Bilder, Robert M. – Educational and Psychological Measurement, 2020
Large-scale studies spanning diverse project sites, populations, languages, and measurements are increasingly important to relate psychological to biological variables. National and international consortia already are collecting and executing mega-analyses on aggregated data from individuals, with different measures on each person. In this…
Descriptors: Item Response Theory, Data Analysis, Measurement, Validity
