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McEneaney, John; Morsink, Paul – Journal of Learning Analytics, 2022
Learning analytics (LA) provides tools to analyze historical data with the goal of better understanding how curricular structures and features have impacted student learning. Forward-looking curriculum design, however, frequently involves a degree of uncertainty. Historical data may be unavailable, a contemplated modification to curriculum may be…
Descriptors: Curriculum Design, Learning Analytics, Educational Change, Computer Software
Li, ZhaoBin; Yee, Luna; Sauerberg, Nathaniel; Sakson, Irene; Williams, Joseph Jay; Rafferty, Anna N. – International Educational Data Mining Society, 2020
Digital educational technologies offer the potential to customize students' experiences and learn what works for which students, enhancing the technology as more students interact with it. We consider whether and when attempting to discover how to personalize has a cost, such as if the adaptation to personal information can delay the adoption of…
Descriptors: Educational Technology, Technology Uses in Education, Student Needs, Student Characteristics
Kopanidis, Foula Zografina; Shaw, Michael John – Education & Training, 2017
Purpose: Educational institutions are caught between increasing their offer rates and attracting and retaining those prospective students who are most suited to course completion. The purpose of this paper is to demonstrate the influence of demographic and psychological constructs on students' preferences when choosing to study in a particular…
Descriptors: Student Attitudes, Course Selection (Students), Preferences, Models
Al Hallak, Louna; Ayoubi, Rami M.; Moscardini, Alfredo; Loutfi, Mohamed – Studies in Higher Education, 2019
This paper investigates the dynamics of student enrolment in the Syrian private higher education sector. The paper adopts a system dynamics approach, to construct suitable simulation models that could be used to examine the complex and dynamic interactions between student flows, staff ratios and investments in plant and facilities. The study…
Descriptors: Private Colleges, College Administration, Enrollment Trends, Higher Education
Jin, Kuan-Yu; Wang, Wen-Chung – Journal of Educational Measurement, 2014
Sometimes, test-takers may not be able to attempt all items to the best of their ability (with full effort) due to personal factors (e.g., low motivation) or testing conditions (e.g., time limit), resulting in poor performances on certain items, especially those located toward the end of a test. Standard item response theory (IRT) models fail to…
Descriptors: Student Evaluation, Item Response Theory, Models, Simulation
Foote, Rebecca – Second Language Research, 2015
In native speakers of gender-marking languages, mechanisms of gender production appear to be affected by the morphophonological cues to gender present in the noun phrase. This influence is manifested in higher levels of production accuracy when more transparent cues to gender are present in comparison to when they are not. The goal of the present…
Descriptors: Spanish, Grammar, Second Language Learning, Morphology (Languages)
Zamarro, Gema; Engberg, John; Saavedra, Juan Esteban; Steele, Jennifer – Journal of Research on Educational Effectiveness, 2015
This article investigates the use of teacher value-added estimates to assess the distribution of effective teaching across students of varying socioeconomic disadvantage in the presence of classroom composition effects. We examine, via simulations, how accurately commonly used teacher value-added estimators recover the rank correlation between…
Descriptors: Teacher Effectiveness, Disadvantaged Youth, Socioeconomic Influences, Socioeconomic Status
Bosshardt, Donald I.; Lichtenstein, Larry; Zaporowski, Mark P. – Contemporary Issues in Education Research, 2009
This paper develops a series of models for optimal tuition pricing for private colleges and universities. The university is assumed to be a profit maximizing, price discriminating monopolist. The enrollment decision of student's is stochastic in nature. The university offers an effective tuition rate, comprised of stipulated tuition less financial…
Descriptors: Models, Tuition, Private Colleges, Simulation
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Datar, Ashlesha – Journal of Policy Analysis and Management, 2006
The past two decades have seen a rising trend in the minimum entrance age for kindergarten in the U.S. A little-noticed, but potentially large, consequence of raising the minimum entrance age is that it imposes additional childcare costs for families whose children are forced to stay out of school for an additional year. This paper develops a…
Descriptors: Kindergarten, Age Differences, Educational Policy, Child Care
Chen, Chau-Kuang – Association for Institutional Research (NJ1), 2008
Enrollment forecasting is the central component of effective budget and program planning. The integrated enrollment forecast model is developed to achieve a better understanding of the variables affecting student enrollment and, ultimately, to perform accurate forecasts. The transfer function model of the autoregressive integrated moving average…
Descriptors: High School Graduates, Prediction, Regression (Statistics), Program Development
COGSWELL, JOHN F.; AND OTHERS – 1965
CHARACTERISTICS AND CONSTRUCTION OF A COMPUTER SIMULATION MODEL FOR SIMULATING BEHAVIOR OF STUDENTS AND STAFF IN A SCHOOL WERE DESCRIBED. THIS MODEL INCORPORATED SYSTEMS ANALYSIS AND COMPUTER SIMULATION TECHNIQUES AND WAS EXPECTED TO PROVIDE DESIGN RECOMMENDATIONS FOR MORE PERVASIVE AND INTERGRATED CHANGES THROUGHOUT THE SCHOOLS. THE MODEL WAS…
Descriptors: Computer Programs, Educational Facilities Design, Educational Planning, High Schools
Basham, K. Lynn; Kotrlik, Joe W. – Journal of Technology Education, 2008
Spatial abilities are fundamental to human functioning in the physical world. Spatial reasoning allows people to use concepts of shape, features, and relationships in both concrete and abstract ways, to make and use things in the world, to navigate, and to communicate. Surgeons, pilots, architects, engineers, mechanics, builders, farmers, trades…
Descriptors: Computer Assisted Design, Educational Technology, Spatial Ability, Grade 9
Borden, Victor M. H.; Dalphin, John F. – 1998
This study used Markov chain matrices to simulate the effect of varying degrees of change in student characteristics on retention and graduation rates. Data were applied to a 1-year enrollment transition matrix that tracks how students of each class level progress into the same or higher class levels, to a completed degree, or to non-returning…
Descriptors: Academic Persistence, College Students, Credits, Enrollment
COGSWELL, JOHN F.; AND OTHERS – 1964
THE PLANS FOR A SIMULATION MODEL USING SYSTEMS ANALYSIS AND COMPUTER SIMULATION TECHNIQUES WERE PRESENTED. THE TECHNIQUES AND DESIGN RECOMMENDATIONS WERE INTENDED TO FIND NEW METHODS FOR IMPLEMENTING INSTRUCTIONAL MEDIA. FOUR MAJOR STEPS WERE INVOLVED IN THE PROJECT--(1) SURVEY AND SELECTION OF HIGH SCHOOLS, (2) SYSTEMS ANALYSIS OF FIVE HIGH…
Descriptors: Computer Programs, Continuous Progress Plan, Educational Facilities Design, High Schools
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