NotesFAQContact Us
Collection
Advanced
Search Tips
Publication Date
In 20250
Since 20240
Since 2021 (last 5 years)0
Since 2016 (last 10 years)15
Since 2006 (last 20 years)40
Audience
Laws, Policies, & Programs
No Child Left Behind Act 20011
What Works Clearinghouse Rating
Showing 1 to 15 of 44 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Kustusch, Mary Bridget – Physical Review Physics Education Research, 2016
Students in introductory physics struggle with vector algebra and these challenges are often associated with contextual and representational features of the problems. Performance on problems about cross product direction is particularly poor and some research suggests that this may be primarily due to misapplied right-hand rules. However, few…
Descriptors: Algebra, Geometric Concepts, Academic Achievement, Introductory Courses
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Jorge A. Pinto,; Vogel, Edgar H.; Núñez, Daniel E. – Psicologica: International Journal of Methodology and Experimental Psychology, 2017
The learned predictiveness effect or LPE is the finding that when people learn that certain cues are reliable predictors of an outcome in an initial stage of training (phase 1), they exhibit a learning bias in favor of these cues in a subsequent training involving new outcomes (phase 2) despite all cues being equally reliable in phase 2. In…
Descriptors: Cognitive Processes, Difficulty Level, Predictor Variables, Cues
Peer reviewed Peer reviewed
Direct linkDirect link
El Masri, Yasmine H.; Ferrara, Steve; Foltz, Peter W.; Baird, Jo-Anne – Curriculum Journal, 2017
Predicting item difficulty is highly important in education for both teachers and item writers. Despite identifying a large number of explanatory variables, predicting item difficulty remains a challenge in educational assessment with empirical attempts rarely exceeding 25% of variance explained. This paper analyses 216 science items of key stage…
Descriptors: Predictor Variables, Test Items, Difficulty Level, Test Construction
Tang, Steven; Gogel, Hannah; McBride, Elizabeth; Pardos, Zachary A. – International Educational Data Mining Society, 2015
Online adaptive tutoring systems are increasingly being used in classrooms as a way to provide guided learning for students. Such tutors have the potential to provide tailored feedback based on specific student needs and misunderstandings. Bayesian knowledge tracing (BKT) is used to model student knowledge when knowledge is assumed to be changing…
Descriptors: Intelligent Tutoring Systems, Difficulty Level, Bayesian Statistics, Models
Peer reviewed Peer reviewed
Direct linkDirect link
Liu, Haixia; Lin, Chin-Hsi; Zhang, Dongbo; Zheng, Binbin – Journal of Educational Computing Research, 2018
This study examined internal and external factors affecting pedagogical use of technology among 47 K-12 Chinese language teachers in the United States. Path analysis of the survey data was used to examine the relationships between the teachers' instructional use of technology, on the one hand, and on the other, their perceptions of three internal…
Descriptors: Educational Technology, Technology Uses in Education, Elementary Secondary Education, Language Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Golino, Hudson F.; Gomes, Cristiano M. A. – International Journal of Research & Method in Education, 2016
This paper presents a non-parametric imputation technique, named random forest, from the machine learning field. The random forest procedure has two main tuning parameters: the number of trees grown in the prediction and the number of predictors used. Fifty experimental conditions were created in the imputation procedure, with different…
Descriptors: Item Response Theory, Regression (Statistics), Difficulty Level, Goodness of Fit
Peer reviewed Peer reviewed
Direct linkDirect link
Holliman, Andrew J.; Mundy, Ian R.; Wade-Woolley, Lesly; Wood, Clare; Bird, Chelsea – Educational Psychology, 2017
Prosodic awareness (the rhythmic patterning of speech) accounts for unique variance in reading development. However, studies have thus far focused on early readers and utilised literacy measures which fail to distinguish between monosyllabic and multisyllabic words. The current study investigated the factors that are specifically associated with…
Descriptors: Predictor Variables, Intonation, Phonemic Awareness, Short Term Memory
Peer reviewed Peer reviewed
Direct linkDirect link
Chang, Mei-Lin; Engelhard, George, Jr. – Journal of Psychoeducational Assessment, 2016
The purpose of this study is to examine the psychometric quality of the Teachers' Sense of Efficacy Scale (TSES) with data collected from 554 teachers in a U.S. Midwestern state. The many-facet Rasch model was used to examine several potential contextual influences (years of teaching experience, school context, and levels of emotional exhaustion)…
Descriptors: Models, Teacher Attitudes, Self Efficacy, Item Response Theory
Peer reviewed Peer reviewed
Direct linkDirect link
Traynor, Anne – Educational Assessment, 2017
Variation in test performance among examinees from different regions or national jurisdictions is often partially attributed to differences in the degree of content correspondence between local school or training program curricula, and the test of interest. This posited relationship between test-curriculum correspondence, or "alignment,"…
Descriptors: Test Items, Test Construction, Alignment (Education), Curriculum
Peer reviewed Peer reviewed
Direct linkDirect link
Zheng, Robert; Hicken, Bret L.; Hill, Robert D.; Luptak, Marilyn; Daniel, Candice M.; Grant, Marren; Rupper, Randall – Educational Gerontology, 2016
This research project included two studies that investigated (a) differences between technology use in tech-knowledgeable and less tech-knowledgeable older persons, (b) cognitive and affective variables and their association with the application of technology, and (c) the implications of these variables on the design of remote-delivered caregiver…
Descriptors: Caregiver Training, Older Adults, Technology Uses in Education, Technological Literacy
Li, Dan; Benton, Stephen L.; Brown, Ron; Sullivan, Patricia; Ryalls, Kenneth R. – IDEA Center, Inc., 2016
This report describes statistical analyses performed on data collected in the Spring of 2015 from the pilot study of proposed revised and new items in the IDEA Student Ratings of Instruction (SRI) system. Described are the methods employed, results obtained, and decisions made in selecting items for the updated instruments. The procedures occurred…
Descriptors: Statistical Analysis, Rating Scales, Student Evaluation of Teacher Performance, Course Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Small, Meg L.; Waterman, Emily; Lender, Taylor – Journal of College Student Development, 2017
To increase student engagement, many universities are adopting high-impact educational practices that include study abroad opportunities, faculty mentoring, internships, service learning, challenging coursework, and research experiences; these institutions are also intentionally promoting high-impact cocurricular activities such as community…
Descriptors: Learner Engagement, Time Management, College Freshmen, Predictor Variables
Peer reviewed Peer reviewed
Direct linkDirect link
Powell, Sarah R.; Fuchs, Lynn S. – Learning Disabilities Research & Practice, 2014
According to national mathematics standards, algebra instruction should begin at kindergarten and continue through elementary school. Most often, teachers address algebra in the elementary grades with problems related to solving equations or understanding functions. With 789 second-grade students, we administered: (1) measures of calculations and…
Descriptors: Algebra, Mathematics Instruction, Grade 2, Elementary School Students
Peer reviewed Peer reviewed
Direct linkDirect link
Ardies, Jan; De Maeyer, Sven; Gijbels, David; van Keulen, Hanno – International Journal of Technology and Design Education, 2015
Technology is more present than ever. Young people are interested in technological products, but their opinions on education and careers in technology are not particularly positive (Johansson in "Mathematics, Science & Technology Education Report." European Round Table of Industrials, Brussel, 2009). If we want to stimulate students'…
Descriptors: Student Attitudes, Interests, Occupational Aspiration, Psychological Patterns
Peer reviewed Peer reviewed
Direct linkDirect link
Collentine, Karina – Hispania, 2016
Tasks provide engaging ways to involve learners in meaningful, real-world activities with the foreign language (FL). Yet selecting classroom tasks suitable to learners' linguistic readiness is challenging, and task-based research is exploring the relationship between learners' overall abilities (e.g., reading, grammatical) and the complexity and…
Descriptors: Reading Ability, Second Language Learning, Task Analysis, College Students
Previous Page | Next Page »
Pages: 1  |  2  |  3