NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
No Child Left Behind Act 20011
What Works Clearinghouse Rating
Showing 1 to 15 of 17 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Maulidia, Farrah; Saminan; Abidin, Zainal – Malikussaleh Journal of Mathematics Learning, 2020
Students' creativity and self-efficacy in solving mathematical problems remain low. Students with Field Dependent (FD) and Field Independent (FI)cognitive styles have different creativity and self-efficacy. One learning model that is believed to increase students' creativity and self-efficacy is Problem Based Learning (PBL) model. This study aimed…
Descriptors: Creativity, Self Efficacy, Problem Based Learning, Islam
Peer reviewed Peer reviewed
Direct linkDirect link
Briesch, Amy M.; Hemphill, Elizabeth M.; Volpe, Robert J.; Daniels, Brian – School Psychology Quarterly, 2015
Although there is much research to support the effectiveness of classwide interventions aimed at improving student engagement, there is also a great deal of variability in terms of how response to group-level intervention has been measured. The unfortunate consequence of this procedural variability is that it is difficult to determine whether…
Descriptors: Classroom Observation Techniques, Intervention, Comparative Analysis, Observation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Crooke, Alexander Hew Dale; McFerran, Katrina Skewes – Australian Journal of Music Education, 2014
The potential for music programs to promote psychosocial wellbeing in mainstream schools is recognised in both policy and research literature. Despite this recognition, there is a dearth of consistent research evidence supporting this link. Authors attribute this lack of consistent evidence to limitations in the areas of research design and…
Descriptors: Foreign Countries, Music Education, Well Being, Psychological Patterns
Peer reviewed Peer reviewed
Direct linkDirect link
Lee, Chang-Hun – Journal of Interpersonal Violence, 2010
This study simultaneously investigates personal and interpersonal traits that were found to be important factors of bullying behavior using data collected from 1,238 randomly selected Korean middle school students. Using a modified and expanded definition of bullying based on a more culturally sensitive approach to bullying, this study categorizes…
Descriptors: Middle School Students, Bullying, Teacher Effectiveness, Interpersonal Relationship
Tuttle, Christina Clark; Teh, Bing-ru; Nichols-Barrer, Ira; Gill, Brian P.; Gleason, Philip – Mathematica Policy Research, Inc., 2010
In this set of four supplemental tables, the authors compare the baseline test scores of the treatment and matched control group samples observed in each year after KIPP entry (outcome years 1 to 4). As discussed in Chapter III, the authors used an iterative propensity score estimation procedure to calculate each student's probability of entering…
Descriptors: Control Groups, Middle Schools, Student Characteristics, Tables (Data)
Feng, Mingyu; Beck, Joseph E.; Heffernan, Neil T. – International Working Group on Educational Data Mining, 2009
A basic question of instructional interventions is how effective it is in promoting student learning. This paper presents a study to determine the relative efficacy of different instructional strategies by applying an educational data mining technique, learning decomposition. We use logistic regression to determine how much learning is caused by…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Sampling, Statistical Inference
Peer reviewed Peer reviewed
Direct linkDirect link
Shernoff, David Jordan; Vandell, Deborah Lowe – Journal of Youth and Adolescence, 2007
Middle school students' experiences at after-school programs were compared as they participated in different types of activities and with different social partners. The students (N = 165) attended eight programs in three Midwestern states. A total of 1,596 experiences were randomly sampled using the Experience Sampling Method (ESM) during 1 week…
Descriptors: Motivation, Enrichment Activities, After School Programs, Middle School Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Braun, Henry; Qian, Jiahe – ETS Research Report Series, 2008
This report describes the derivation and evaluation of a method for comparing the performance standards for public school students set by different states. It is based on an approach proposed by McLaughlin and associates, which constituted an innovative attempt to resolve the confusion and concern that occurs when very different proportions of…
Descriptors: State Standards, Comparative Analysis, Public Schools, National Competency Tests
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Oranje, Andreas – ETS Research Report Series, 2006
Confidence intervals are an important tool to indicate uncertainty of estimates and to give an idea of probable values of an estimate if a different sample from the population was drawn or a different sample of measures was used. Standard symmetric confidence intervals for proportion estimates based on a normal approximation can yield bounds…
Descriptors: Computation, Statistical Analysis, National Competency Tests, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Shumow, Lee; Schmidt, Jennifer A.; Kackar, Hayal – Middle Grades Research Journal, 2008
This study described and compared the reading of sixth and eighth grade students both in and out of school using a unique data set collected with the Experience Sampling Method (ESM). On average, students read forty minutes a day out of class and seventeen minutes a day in class indicating that reading is a common leisure practice for…
Descriptors: Comparative Analysis, Grade 6, Grade 8, Recreational Reading
Maryland State Department of Education, 2008
Periodically, Maryland's sixth, eighth, tenth, and twelfth graders are surveyed to determine the nature, extent, and trend of alcohol, tobacco, and other drug (ATOD) use among adolescents. The "2007 Maryland Adolescent Survey (MAS)" presents the latest findings regarding ATOD use by Maryland's adolescents and compares State and local…
Descriptors: Neighborhoods, Marijuana, Prevention, Adolescents
Shaughnessy, J. Michael; Canada, Dan; Ciancetta, Matt – International Group for the Psychology of Mathematics Education, 2003
This paper summarizes the thinking of 84 middle school mathematics students' about variability in three stochastics tasks that involve repeated trial. Differences in students' acknowledgment of variability were found, depending on whether the task was from a sampling environment, or a probability environment. Students tended to neglect variability…
Descriptors: Middle Schools, Probability, Sampling, Student Attitudes
Previous Page | Next Page ยป
Pages: 1  |  2