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Ramesh, Arti; Goldwasser, Dan; Huang, Bert; Daume, Hal; Getoor, Lise – IEEE Transactions on Learning Technologies, 2020
Maintaining and cultivating student engagement is critical for learning. Understanding factors affecting student engagement can help in designing better courses and improving student retention. The large number of participants in massive open online courses (MOOCs) and data collected from their interactions on the MOOC open up avenues for studying…
Descriptors: Online Courses, Learner Engagement, Student Behavior, Success
Yanagiura, Takeshi – Community College Research Center, Teachers College, Columbia University, 2020
Among community college leaders and others interested in reforms to improve student success, there is growing interest in adopting machine learning (ML) techniques to predict credential completion. However, ML algorithms are often complex and are not readily accessible to practitioners for whom a simpler set of near-term measures may serve as…
Descriptors: Community Colleges, Man Machine Systems, Artificial Intelligence, Prediction
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Yanagiura, Takeshi – Community College Review, 2023
Objective: This study examines how accurately a small set of short-term academic indicators can approximate long-term outcomes of community college students so that decision-makers can take informed actions based on those indicators to evaluate the current progress of large-scale reform efforts on long-term outcomes, which in practice will not be…
Descriptors: Community Colleges, Community College Students, Educational Indicators, Outcomes of Education
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Ganchorre, Athena; Buxner, Sanlyn; Vassquez, Jacob Alfredo – AERA Online Paper Repository, 2017
A predictive model for the USMLE Step 1 was created based on NBME Comprehensive Basic Sciences Self-Assessment (CBSSA) exams. All second year medical students at a southwestern university from 2014-2016 took a NBME CBSSA exam under controlled testing conditions six months (January) and three months (April) prior to their Step 1. A multiple…
Descriptors: Medical Students, Licensing Examinations (Professions), Academic Achievement, Predictive Measurement
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Leckie, George; Goldstein, Harvey – British Educational Research Journal, 2017
Since 1992, the UK Government has published so-called "school league tables" summarising the average General Certificate of Secondary Education (GCSE) "attainment" and "progress" made by pupils in each state-funded secondary school in England. While the headline measure of school attainment has remained the percentage…
Descriptors: Foreign Countries, Achievement Rating, Academic Achievement, Secondary School Students
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Conijn, Rianne; Snijders, Chris; Kleingeld, Ad; Matzat, Uwe – IEEE Transactions on Learning Technologies, 2017
With the adoption of Learning Management Systems (LMSs) in educational institutions, a lot of data has become available describing students' online behavior. Many researchers have used these data to predict student performance. This has led to a rather diverse set of findings, possibly related to the diversity in courses and predictor variables…
Descriptors: Blended Learning, Predictor Variables, Predictive Validity, Predictive Measurement
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Soltaninejad, Mehraneh – Malaysian Online Journal of Educational Sciences, 2015
The purpose of this study is to examine the relationships between achievement goal orientations and Learning Strategies. The sample of study consists of 350 public high school students (135 males and 215 females, mean age: 17 ± 0.65) from two high schools in Kerman province of Iran selected by random multistage cluster sampling method. In this…
Descriptors: Goal Orientation, Learning Strategies, Structural Equation Models, Investigations
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Huang, Shaobo; Fang, Ning – Computers & Education, 2013
Predicting student academic performance has long been an important research topic in many academic disciplines. The present study is the first study that develops and compares four types of mathematical models to predict student academic performance in engineering dynamics--a high-enrollment, high-impact, and core course that many engineering…
Descriptors: Academic Achievement, Grade Point Average, Accuracy, Prediction
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Destin, Mesmin; Richman, Scott; Varner, Fatima; Mandara, Jelani – Journal of Adolescence, 2012
The current study tested a psychosocial mediation model of the association between subjective social status (SSS) and academic achievement for youth. The sample included 430 high school students from diverse racial/ethnic and socioeconomic backgrounds. Those who perceived themselves to be at higher social status levels had higher GPAs. As…
Descriptors: Grade Point Average, Study Skills, Social Status, Ethnic Groups
Castellano, Katherine E.; Ho, Andrew D. – Council of Chief State School Officers, 2013
This "Practitioner's Guide to Growth Models," commissioned by the Technical Issues in Large-Scale Assessment (TILSA) and Accountability Systems & Reporting (ASR), collaboratives of the "Council of Chief State School Officers," describes different ways to calculate student academic growth and to make judgments about the…
Descriptors: Guides, Models, Academic Achievement, Achievement Gains
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Moosai, Susan; Walker, David A.; Floyd, Deborah L. – Community College Journal of Research and Practice, 2011
Prediction models using graduation rate as the performance indicator were obtained for community colleges in California, Florida, and Michigan. The results of this study indicated that institutional graduation rate could be predicted effectively from an aggregate of student and institutional characteristics. A performance measure was computed, the…
Descriptors: Community Colleges, Graduation Rate, Institutional Evaluation, Institutional Characteristics
Smith, Vernon C.; Lange, Adam; Huston, Daniel R. – Journal of Asynchronous Learning Networks, 2012
Community colleges continue to experience growth in online courses. This growth reflects the need to increase the numbers of students who complete certificates or degrees. Retaining online students, not to mention assuring their success, is a challenge that must be addressed through practical institutional responses. By leveraging existing student…
Descriptors: Academic Achievement, At Risk Students, Prediction, Community Colleges
Davey, Carla Mae – ProQuest LLC, 2010
According to generational theorists, the interests and experiences of incoming students have fluctuated over time, with Millennial students being more engaged and accomplished than their predecessors. This project explored data from 1974-2007 to determine the actual trends in engagement and accomplishments for three generations of students. Over…
Descriptors: Learner Engagement, School Activities, Grade Point Average, School Holding Power
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White, Casey B.; Dey, Eric L.; Fantone, Joseph C. – Advances in Health Sciences Education, 2009
Academic achievement indices including GPAs and MCAT scores are used to predict the spectrum of medical student academic performance types. However, use of these measures ignores two changes influencing medical school admissions: student diversity and affirmative action, and an increased focus on communication skills. To determine if GPA and MCAT…
Descriptors: Medical Students, Search Committees (Personnel), Grade Point Average, Medical Schools
Walberg, Herbert J. – Interchange, 1971
Descriptors: Academic Achievement, Educational Research, Individualized Instruction, Models
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