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Rahimian, M. Amin – ProQuest LLC, 2017
Many important real-world decision-making problems involve group interactions among individuals with purely informational interactions. Such situations arise for example in jury deliberations, expert committees, medical diagnoses, etc. We model the purely informational interactions of group members, where they receive private information and act…
Descriptors: Learning Processes, Group Dynamics, Cooperative Learning, Bayesian Statistics
Belfield, Clive; Bailey, Thomas – Center for Analysis of Postsecondary Education and Employment, 2017
Recently, studies have adopted fixed effects modeling to identify the returns to college. This method has the advantage over ordinary least squares estimates in that unobservable, individual-level characteristics that may bias the estimated returns are differenced out. But the method requires extensive longitudinal data and involves complex…
Descriptors: Associate Degrees, Outcomes of Education, Education Work Relationship, Robustness (Statistics)
Agrawal, Rakesh; Nandanwar, Sharad; Murty, M. N. – International Educational Data Mining Society, 2017
We study the problem of partitioning a class of N students into k groups of n students each (N = k × n), such that their learning from peer interactions is maximized. In our formalization of the problem, any student is able to increase his score in the subject the class is studying up to the score of the student who is at p-percentile among his…
Descriptors: Grouping (Instructional Purposes), Peer Relationship, Interaction, Ability Grouping
Py, Dominique; Després, Christophe; Jacoboni, Pierre – Technology, Instruction, Cognition and Learning, 2015
Although providing open learner models to teachers and learners has proven effective, building accurate learner models remains a very complex task, partly due to the large amount of data that must be analyzed. We propose a method for specifying an open learner model at the conceptual level. This model re-uses constraints or indicators already…
Descriptors: Open Education, Models, Design, Programming Languages
Jackson, Dan; Bowden, Jack; Baker, Rose – Research Synthesis Methods, 2015
Moment-based estimators of the between-study variance are very popular when performing random effects meta-analyses. This type of estimation has many advantages including computational and conceptual simplicity. Furthermore, by using these estimators in large samples, valid meta-analyses can be performed without the assumption that the treatment…
Descriptors: Meta Analysis, Hierarchical Linear Modeling, Computation, Evaluation Methods
Cafri, Guy; Banerjee, Samprit; Sedrakyan, Art; Paxton, Liz; Furnes, Ove; Graves, Stephen; Marinac-Dabic, Danica – Research Synthesis Methods, 2015
The motivating example for this paper comes from a distributed health data network, the International Consortium of Orthopaedic Registries (ICOR), which aims to examine risk factors for orthopedic device failure for registries around the world. Unfortunately, regulatory, privacy, and propriety concerns made sharing of raw data impossible, even if…
Descriptors: Meta Analysis, Surgery, Data, Networks
Soorya, Tribhuvan N. – Physics Teacher, 2015
Maxwell's needle apparatus is used to determine the shear modulus (?) of the material of a wire of uniform cylindrical cross section. Conventionally, a single observation is taken for each observable, and the value of ? is calculated in a single shot. A modification to the above apparatus is made by varying one of the observables, namely the mass…
Descriptors: Physics, Scientific Concepts, Science Equipment, Computation
Titze, Ingo R.; Hunter, Eric J. – Journal of Speech, Language, and Hearing Research, 2015
Purpose: School-teachers have become a benchmark population for the study of occupational voice use. A decade of vibration-dose studies on the teacher population allows a comparison to be made between specific dose measures for eventual assessment of damage risk. Method: Vibration dosimetry is reformulated with the inclusion of collision stress.…
Descriptors: Comparative Analysis, Teachers, Risk, Voice Disorders
Rodriguez, Awilda – Research in Higher Education, 2015
Within the past decade, there has been a growing number of studies examining undermatch--when students apply to or enroll in institutions less selective than their academic qualifications permit. To estimate undermatch, researchers must define institutions' selectivity levels and determine which students are eligible to gain admission to these…
Descriptors: College Admission, Selective Admission, Qualifications, College Students
Hoyles, Celia; Noss, Richard – ZDM: The International Journal on Mathematics Education, 2015
In this commentary, we briefly review the collective effort of design researchers to weave theory with empirical results, in order to gain a better understanding of the processes of learning. We seek to respond to this challenging agenda by centring on the evolution of one sub-field: namely that which involves investigations within a…
Descriptors: Research Design, Theory Practice Relationship, Learning Processes, Constructivism (Learning)
Ames, Allison J.; Samonte, Kelli – Educational and Psychological Measurement, 2015
Interest in using Bayesian methods for estimating item response theory models has grown at a remarkable rate in recent years. This attentiveness to Bayesian estimation has also inspired a growth in available software such as WinBUGS, R packages, BMIRT, MPLUS, and SAS PROC MCMC. This article intends to provide an accessible overview of Bayesian…
Descriptors: Item Response Theory, Bayesian Statistics, Computation, Computer Software
Kim, Donghoh; Kim, Se-Kang; Park, Soyeon – Universal Journal of Educational Research, 2015
Recently, MDS has been utilized to identify and evaluate cognitive ability latent profiles in a population. However, dimension coordinates do not carry any statistical properties. To cope with statistical incompetence of MDS, we investigated the common aspects of various studies utilizing bootstrapping, and provided an R function for its…
Descriptors: Multidimensional Scaling, Sampling, Statistical Inference, Cognitive Ability
Lockwood, Elise – International Journal of Research in Undergraduate Mathematics Education, 2015
Combinatorial enumeration has a variety of important applications, but there is much evidence indicating that students struggle with solving counting problems. The roots of such difficulty, as well as ways to mitigate such difficulty, have not yet been thoroughly studied. In this paper, one particular aspect of students' counting activity is…
Descriptors: Mathematics Instruction, Computation, Problem Solving, Interviews
Hacker, Douglas J.; Kiuhara, Sharlene A.; Levin, Joel R. – ZDM: The International Journal on Mathematics Education, 2019
Assessment data from the United States and international reports of student achievement indicate that upper elementary students are failing to meet basic levels of proficiency in fractions and writing, and that this is particularly prevalent with students with or at-risk for learning disabilities in mathematics. Proficiency with fractions has been…
Descriptors: Fractions, Teaching Methods, Mathematics Instruction, Learning Strategies
Thomas, Debra Kelly; Milenkovic, Lisa; Marousky, Annamargareth – Science and Children, 2019
Computer science (CS) and computational thinking (a problem-solving process used by computer scientists) teach students design, logical reasoning, and problem solving--skills that are valuable in life and in any career. Computational thinking (CT) concepts such as decomposition teach students how to break down and tackle a large complex problem.…
Descriptors: Computation, Thinking Skills, Computer Simulation, Computer Science Education

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