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Stark, Emily – Online Learning, 2019
The goal of this paper is to compare the motivations and learning strategies of online and face-to-face students, utilizing the Motivated Strategies for Learning Questionnaire (Pintrich et al., 1993). Prior research (Crede & Phillips, 2011) suggests that motivation variables play a larger role in predicting student success in online courses…
Descriptors: Student Motivation, Learning Strategies, Online Courses, Questionnaires
Verhavert, San; Bouwer, Renske; Donche, Vincent; De Maeyer, Sven – Assessment in Education: Principles, Policy & Practice, 2019
Comparative Judgement (CJ) aims to improve the quality of performance-based assessments by letting multiple assessors judge pairs of performances. CJ is generally associated with high levels of reliability, but there is also a large variation in reliability between assessments. This study investigates which assessment characteristics influence the…
Descriptors: Meta Analysis, Reliability, Comparative Analysis, Value Judgment
Michl, Diana – Journal of Psycholinguistic Research, 2019
It is widely acknowledged that fixed expressions such as idioms have a processing advantage over non-idiomatic language. While many idioms are metaphoric, metonymic, or even literal, the effect of varying nonliteralness in their processing has not been much researched yet. Theoretical and empirical findings suggest that metonymies are easier to…
Descriptors: Second Language Learning, Figurative Language, Language Processing, Psycholinguistics
Tref, Vitoria; Bertuola, Alberto C.; Filho, Victo S. – Physics Teacher, 2019
In this work we describe a teaching proposal to calculate the eccentricity of the Moon's trajectory by applying a geometrical technique. The values of the ratios between the Earth-Moon distance and the diameter of the Moon at apogee and at perigee were calculated from a kinematic model associated with a geometrical technique of image analysis. The…
Descriptors: Physics, Science Instruction, Earth Science, Geometry
Leeniva, Pasit – International Journal of Instruction, 2019
This research study is an experimental study focusing on auditory perception. The objectives of this research are (1) to evaluate acoustical characteristics of the classroom (2) to assess acoustical perceptions of students with different educational backgrounds. The subjects of this study consisted of 54 science students and 53 art students. The…
Descriptors: Comparative Analysis, Auditory Perception, Educational Background, Differences
Liao, C. Lynn; Sánchez, Bernadette – Youth & Society, 2019
This study aimed to (a) identify mentoring quality profiles based on characteristics of informal mentoring relationships, (b) examine how mentor and youth demographic characteristics were related to the profiles, and (c) investigate whether the profiles were related to youth's academic outcomes. Participants were 411 ninth-grade urban, low-income…
Descriptors: Mentors, Correlation, Urban Youth, Low Income
Stahre Wästberg, Beata; Eriksson, Thommy; Karlsson, Göran; Sunnerstam, Maria; Axelsson, Michael; Billger, Monica – Education and Information Technologies, 2019
Building a virtual laboratory for teaching and learning is a highly complex process, incorporating diverse areas such as interaction design, visualisation, and pedagogy. This article focuses on the production and implementation issues that were found in the comparison of two different virtual laboratory projects, and discuss which design…
Descriptors: Color, Laboratory Experiments, Science Instruction, Science Laboratories
Son, Sookyoung; Lee, Hyunjung; Jang, Yoona; Yang, Junyeong; Hong, Sehee – Educational and Psychological Measurement, 2019
The purpose of the present study is to compare nonnormal distributions (i.e., t, skew-normal, skew-t with equal skew and skew-t with unequal skew) in growth mixture models (GMMs) based on diverse conditions of a number of time points, sample sizes, and skewness for intercepts. To carry out this research, two simulation studies were conducted with…
Descriptors: Statistical Distributions, Statistical Analysis, Structural Equation Models, Comparative Analysis
Zhang, Zhonghua; Zhao, Mingren – Journal of Educational Measurement, 2019
The present study evaluated the multiple imputation method, a procedure that is similar to the one suggested by Li and Lissitz (2004), and compared the performance of this method with that of the bootstrap method and the delta method in obtaining the standard errors for the estimates of the parameter scale transformation coefficients in item…
Descriptors: Item Response Theory, Error Patterns, Item Analysis, Simulation
Shi, Junrong; Li, Yong – American Journal of Health Education, 2019
Background: Patients with diabetes and disabilities often have more difficulties in managing their diabetes. Little is known about how disabilities affect their use of diabetes education program. Purpose: The purpose of this study was to examine the association between disabilities and diabetes education program use for patients with diabetes and…
Descriptors: Diabetes, Health Education, Patients, Correlation
Bottema-Beutel, Kristen; Kim, So Yoon; Miele, David B. – Journal of Autism and Developmental Disorders, 2019
This study used mixed-effects logistic regression to examine undergraduates' (N = 142) evaluations and reasoning about scenarios involving disability-based exclusion. Scenarios varied by disability [autism spectrum disorder (ASD) versus learning disability (LD)], the context of exclusion (classroom versus social), and whether or not a grade was at…
Descriptors: Undergraduate Students, Student Attitudes, Autism, Learning Disabilities
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
Zhang, Chuankai; Huang, Yanzun; Wang, Jingyu; Lu, Dongyang; Fang, Weiqi; Stamper, John; Fancsali, Stephen; Holstein, Kenneth; Aleven, Vincent – Grantee Submission, 2019
"Wheel spinning" is the phenomenon in which a student fails to master a Knowledge Component (KC), despite significant practice. Ideally, an intelligent tutoring system would detect this phenomenon early, so that the system or a teacher could try alternative instructional strategies. Prior work has put forward several criteria for wheel…
Descriptors: Identification, Intelligent Tutoring Systems, Academic Failure, Criteria
Merkle, E. C.; Furr, D.; Rabe-Hesketh, S. – Grantee Submission, 2019
Typical Bayesian methods for models with latent variables (or random effects) involve directly sampling the latent variables along with the model parameters. In high-level software code for model definitions (using, e.g., BUGS, JAGS, Stan), the likelihood is therefore specified as conditional on the latent variables. This can lead researchers to…
Descriptors: Bayesian Statistics, Comparative Analysis, Computer Software, Models
Kumar, Abhilasha A.; Balota, David A.; Steyvers, Mark – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
We examined 3 different network models of representing semantic knowledge (5,018-word directed and undirected step distance networks, and an association-correlation network) to predict lexical priming effects. In Experiment 1, participants made semantic relatedness judgments for word pairs with varying path lengths. Response latencies for…
Descriptors: Semantics, Networks, Correlation, Semitic Languages

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