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Bekkering, Ernst; Harrington, Patrick – Information Systems Education Journal, 2023
This paper describes the study of enforcement of prerequisites in the Computer Science program at a regional university in the Southwest. Prerequisites are a significant factor in programs of study in higher education. Allowing students to register in courses may assume that they have existing knowledge and skills. Some programs treat…
Descriptors: College Students, Computer Science Education, Prerequisites, Governance
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Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
The nine appendices in this publication accompany the full report, "High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection. Data File Documentation. NCES 2020-004" (ED607366). They include: (1) Glossary of Terms; (2) Student Financial Aid Records Instrument…
Descriptors: Longitudinal Studies, High School Students, Data Collection, Academic Records
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Duprey, Michael A.; Pratt, Daniel J.; Wilson, David H.; Jewell, Donna M.; Brown, Derick S.; Caves, Lesa R.; Kinney, Satkartar K.; Mattox, Tiffany L.; Ritchie, Nichole Smith; Rogers, James E.; Spagnardi, Colleen M.; Wescott, Jamie D. – National Center for Education Statistics, 2020
This data file documentation accompanies new data files for the High School Longitudinal Study of 2009 (HSLS:09) Postsecondary Education Transcript Study and Student Financial Aid Records Collection (PETS-SR). HSLS:09 follows a nationally representative sample of students who were ninth-graders in fall 2009 from high school into postsecondary…
Descriptors: Longitudinal Studies, High School Students, Sampling, Data Collection
Whinnery, Erin – Education Commission of the States, 2018
Prior learning assessment policies allow students to earn college credit for knowledge and experience gained outside of a classroom, which can accelerate their time to graduation. Research shows that students who receive Prior Learning Assessment (PLA) credit accumulate more credit and graduate more quickly and at higher rates than their peers who…
Descriptors: Prior Learning, Student Evaluation, State Policy, College Credits
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Parks, Rodney; Parrish, Jesse; Taylor, Alexander – College and University, 2018
Learners of all types must be able to represent their achievements to prospective employers and education institutions to prove that they have the requisite knowledge and skills for success. The most recognized means by which students represent themselves is the credential. As in many other industries that engage with customers, partners, and…
Descriptors: Credentials, Academic Records, College Students, Employment Qualifications
Hollingsworth, Hilary; Heard, Jonathan; Weldon, Paul R. – Australian Council for Educational Research, 2019
Each year teachers and principals in schools across Australia invest much time and effort, and considerable expense, in activities related to communicating student learning progress. However little is known about the effectiveness of these activities, including the extent to which they are valued by stakeholders, whether they are considered to…
Descriptors: Learning Processes, Academic Achievement, Program Descriptions, Data Collection
Data Quality Campaign, 2014
High education expectations--and the tools to ensure that they are being met--empower educators, students, parents, and policymakers to support student learning and make the best decisions to improve education. Most states have voluntarily adopted the Common Core State Standards to serve as their education expectations. To consistently and…
Descriptors: State Standards, Consortia, Organizational Theories, Data Collection
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González-Sancho, Carlos; Vincent-Lancrin, Stéphan – Policy Futures in Education, 2016
Data use is becoming a prominent strategy for educational innovation and improvement across countries. However, the fragmentation of data collection often hinders the capacity of policymakers, researchers and practitioners to access and analyse the wealth of data routinely generated in educational institutions. A critical step towards realising…
Descriptors: Educational Change, Information Systems, Data Collection, Integrated Learning Systems
Rihák, Jirí – International Educational Data Mining Society, 2015
In this work we introduce the system for adaptive practice of foundations of mathematics. Adaptivity of the system is primarily provided by selection of suitable tasks, which uses information from a domain model and a student model. The domain model does not use prerequisites but works with splitting skills to more concrete sub-skills. The student…
Descriptors: Mathematics Achievement, Mathematics Skills, Models, Reaction Time
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Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning
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Wine, Jennifer; Janson, Natasha; Wheeless, Sara – National Center for Education Statistics, 2011
This report describes and evaluates the methods and procedures used in the 2004/09 Beginning Postsecondary Students Longitudinal Study (BPS:04/09). BPS:04/09 is the second and final follow-up interview for the cohort of first-time beginning postsecondary students identified in the 2004 National Postsecondary Student Aid Study. For the first time…
Descriptors: Longitudinal Studies, Postsecondary Education, College Students, Research Methodology
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Nord, C.; Hicks, L.; Hoover, K.; Jones, M.; Lin, A.; Lyons, M.; Perkins, R.; Roey, S.; Rust, K.; Sickles, D. – National Center for Education Statistics, 2011
This user's guide documents the procedures used to collect, process, and summarize data from the 2009 High School Transcript Study (HSTS 2009). Chapters detail the sampling of schools and graduates (chapters 2 and 3), data collection procedures (chapter 4), data processing procedures (chapter 5), and weighting procedures (chapter 6). Chapter 7…
Descriptors: High School Graduates, Academic Records, National Competency Tests, Questionnaires
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Cole, James S.; Gonyea, Robert M. – Research in Higher Education, 2010
Because it is often impractical or impossible to obtain school transcripts or records on subjects, many researchers rely on college students to accurately self-report their academic record as part of their data collection procedures. The purpose of this study is to investigate the validity and reliability of student self-reported academic…
Descriptors: Academic Records, College Students, Validity, Scores
Pascopella, Angela – District Administration, 2012
Predicting the future is now in the hands of K12 administrators. While for years districts have collected thousands of pieces of student data, educators have been using them only for data-driven decision-making or formative assessments, which give a "rear-view" perspective only. Now, using predictive analysis--the pulling together of data over…
Descriptors: Expertise, Prediction, Decision Making, Data
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