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Wang, Yuancheng; Luo, Nanyu; Zhou, Jianjun – International Educational Data Mining Society, 2022
Doing assignments is a very important part of learning. Students' assignment submission time provides valuable information on study attitudes and habits which strongly correlate with academic performance. However, the number of assignments and their submission deadlines vary among university courses, making it hard to use assignment submission…
Descriptors: College Students, Assignments, Time, Scheduling

Kelsey E. Schenck; Doy Kim; Fangli Xia; Michael I. Swart; Candace Walkington; Mitchell J. Nathan – Grantee Submission, 2024
Access to body-based resources has been shown to augment cognitive processes, but not all movements equally aid reasoning. Interactive technologies, like dynamic geometry systems (DGS), potentially amplify the link between movement and geometric representation, thereby deepening students' understanding of geometric properties. This study…
Descriptors: Geometric Concepts, Task Analysis, Thinking Skills, Validity
Lu, Rui; Keller, Bryan Sean – AERA Online Paper Repository, 2019
When estimating an average treatment effect with observational data, it's possible to get an unbiased estimate of the causal effect if all confounding variables are observed and reliably measured. In education, confounding variables are often latent constructs. Covariate selection methods used in causal inference applications assume that all…
Descriptors: Factor Analysis, Predictor Variables, Monte Carlo Methods, Comparative Analysis
Wirth, Astrid; Stadler, Matthias; Annac, Efsun; Niklas, Frank – AERA Online Paper Repository, 2022
The Home Learning Environment (HLE) focuses on everyday learning habits in families to support children's competency development. In this study, we used multitrait-multimethod (MTMM) analyses to compare two theoretical dimensions and three methods for assessing the HLE and their associations with linguistic and mathematical competencies of…
Descriptors: Family Environment, Comparative Analysis, Child Development, Mathematics Skills
Chu, Wei; Pavlik, Philip I., Jr. – International Educational Data Mining Society, 2023
In adaptive learning systems, various models are employed to obtain the optimal learning schedule and review for a specific learner. Models of learning are used to estimate the learner's current recall probability by incorporating features or predictors proposed by psychological theory or empirically relevant to learners' performance. Logistic…
Descriptors: Reaction Time, Accuracy, Models, Predictor Variables
Singh, Malkeet; Dunn, Hugh H. – AERA Online Paper Repository, 2017
The Every Student Succeed Act (ESSA) brings significant changes as well as opportunities for schools to improve their students' academic outcomes. One proposed regulation is for states to analyze the performance of student subgroups separately in order to show how states are levelling the playing field over time to ensure educational equity. This…
Descriptors: Pacific Islanders, Hawaiians, Reading Achievement, Elementary School Students
Wan, Hao; Beck, Joseph Barbosa – International Educational Data Mining Society, 2015
The phenomenon of wheel spinning refers to students attempting to solve problems on a particular skill, but becoming stuck due to an inability to learn the skill. Past research has found that students who do not master a skill quickly tend not to master it at all. One question is why do students wheel spin? A plausible hypothesis is that students…
Descriptors: Skill Development, Problem Solving, Knowledge Level, Learning Processes
Jung, Jaewon – International Association for Development of the Information Society, 2015
The purpose of this study was to research the effect of the rubric on the level of learners' cognitive engagement and to explore the effectiveness of Web-based concurrent discussions experienced by learners. The participants were 20 undergraduate students of D Women's University and they were divided into six groups for concurrent discussions in…
Descriptors: Foreign Countries, Undergraduate Students, Computer Mediated Communication, Group Discussion
Bumbacher, Engin; Salehi, Shima; Wierzchula, Miriam; Blikstein, Paulo – International Educational Data Mining Society, 2015
Studies comparing virtual and physical manipulative environments (VME and PME) in inquiry-based science learning have mostly focused on students' learning outcomes but not on the actual processes they engage in during the learning activities. In this paper, we examined experimentation strategies in an inquiry activity and their relation to…
Descriptors: Physics, Science Instruction, College Students, Predictor Variables
Krupa, Erin; Webel, Corey; McManus, Jason – North American Chapter of the International Group for the Psychology of Mathematics Education, 2013
We share results from a quasi-experimental study in which we compared achievement between traditional lecture-based and computer-based sections of college algebra on a common multiple choice exam as well as performance on problem solving items. Students in the computer-based group performed better on the final exam and were also more likely to…
Descriptors: Algebra, Mathematics Instruction, Quasiexperimental Design, Comparative Analysis
Kamarulzaman, Wirawani; Nordin, Mohamad Sahari – Online Submission, 2012
The purpose of this study is to address the gaps in the literature and compare the job satisfaction between school leavers and college graduates. Specifically, the proposed study sought to expand the existing, yet limited research exploring job satisfaction between school-leavers and college graduates. In this study, the comparison includes these…
Descriptors: Job Satisfaction, Educational Benefits, Social Sciences, College Graduates
Almon, Sheanoka; Feng, Jay – Online Submission, 2012
As education continues to progress schools are constantly seeking innovative ways to cultivate and enhance achievement for all students. As a result many public schools are pushing toward the inclusion model. This model includes co-taught instruction to meet the many needs of special education students. This research study was implemented to…
Descriptors: Academic Achievement, Special Education, Predictor Variables, Classes (Groups of Students)
Tong, Fuhui – Online Submission, 2006
Background: An extensive body of researches has favored the use of regression over other parametric analyses that are based on OVA. In case of noteworthy regression results, researchers tend to explore magnitude of beta weights for the respective predictors. Purpose: The purpose of this paper is to examine both beta weights and structure…
Descriptors: Researchers, Predictor Variables, Regression (Statistics), Comparative Analysis
Meshbane, Alice; Morris, John D. – 1996
A method for comparing the cross-validated classification accuracies of predictive discriminant analysis and logistic regression classification models is presented under varying data conditions for the two-group classification problem. With this method, separate-group, as well as total-sample proportions of the correct classifications, can be…
Descriptors: Classification, Comparative Analysis, Group Membership, Predictor Variables
Rowley, Jennifer; O'Dea, Jennifer – Australian Teacher Education Association, 2009
Enhancing learning and teaching in blended learning environments is a strategic goal of The University of Sydney as eLearning continues to grow. Blackboard (WebCT) was integrated into the undergraduate Bachelor of Education program curricula through e-readings, discussion boards, lectures and online assessment tasks. The study was undertaken among…
Descriptors: Electronic Learning, Blended Learning, Music Education, Student Attitudes