Publication Date
In 2025 | 0 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 10 |
Since 2016 (last 10 years) | 24 |
Since 2006 (last 20 years) | 51 |
Descriptor
Source
Author
Brunner, Josie | 4 |
Mac Iver, Martha Abele | 3 |
Clark, Emily | 2 |
Kim, Hye Young | 2 |
Kim, Hyun Kyung | 2 |
Kim, Ji Young | 2 |
Kim, Sung Reul | 2 |
Lindsay, Jim | 2 |
Mac Iver, Douglas J. | 2 |
Malerba, Cathy | 2 |
Sheldon, Steven | 2 |
More ▼ |
Publication Type
Education Level
Secondary Education | 52 |
High Schools | 36 |
Middle Schools | 26 |
Junior High Schools | 24 |
Elementary Education | 16 |
Grade 8 | 12 |
Grade 9 | 12 |
Postsecondary Education | 8 |
Higher Education | 7 |
Grade 7 | 4 |
Grade 6 | 3 |
More ▼ |
Audience
Counselors | 1 |
Location
Texas (Austin) | 4 |
Illinois | 3 |
Texas | 3 |
Italy | 2 |
Ohio | 2 |
Spain | 2 |
United Kingdom (England) | 2 |
Belgium | 1 |
Brazil | 1 |
Colorado | 1 |
Hong Kong | 1 |
More ▼ |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 1 |
Assessments and Surveys
What Works Clearinghouse Rating
Jon-Chao Hong; Jhen-Ni Ye; Jian-Hong Ye; Ling-Wen Kung – Interactive Learning Environments, 2024
Attentional control theory indicates that concentration is considered an important variable that contributes to learning. There are some devices for players to practice their concentration, but there are few virtual reality (VR) designs which can increase the level of difficulty for students to discipline their mental concentration with…
Descriptors: Attention Control, Predictor Variables, Cognitive Processes, Difficulty Level
Marshall, David T. – Preventing School Failure, 2022
Using administrative data from an urban school district, two series of predictive models were tested for their ability to project a student's high school graduation status. The models included student grades, attendance, behavior, demographic predictors, and school-level variables. Eighth and ninth-grade variables were tested for two graduation…
Descriptors: High School Students, Grades (Scholastic), Grade 8, Grade 9
Allison S. Liu; Kirk Vanacore; Erin Ottmar – Grantee Submission, 2022
Feedback in educational technologies can teach and engage students in math, but questions remain on how to present failure feedback that supports positive learning behaviors. We explore how error- and reward-based feedback influenced students' choices to replay completed problems in "From Here to There!," a math game-based educational…
Descriptors: Educational Technology, Technology Uses in Education, Feedback (Response), Failure
Churchill, Erin D.; Rogers, Margaret R.; Pristawa, Kimberly A. – National Youth-At-Risk Journal, 2021
The Connections Project (Pristawa,2014) is designed to assist school personnel in identifying students at-risk for social-emotional concerns by examining students' perceptions of connectedness with adults and peers in school. Currently used in several states, schools complete the screening measure as part of their use of the Multi-Tiered System of…
Descriptors: High School Students, Middle School Students, Attendance, Discipline
Çam, Zekeriya; Ögülmüs, Selahiddin – International Journal of Curriculum and Instruction, 2021
In this study, a model on the high school students' school burnout was tested, and the model's prediction of retained and promoted students was investigated. The school burnout model, in this sense, included the variables of grade point average (GPA), school burnout, perceived social support, stress, perfectionism, academic procrastination, and…
Descriptors: Burnout, High School Students, Adolescents, Grade Repetition
Kim, Sung Reul; Kim, Hye Young; Kim, Ji Young; Kim, Hyun Kyung – Psychology in the Schools, 2019
The aim of this study was to identify the association between type D personality and smoking cessation among high school students who had participated in a stop smoking program. From 27 high schools, we recruited 279 smoking students who had participated in a stop smoking program between May 29, 2015, and January 25, 2016. About 26.5% of…
Descriptors: Personality Traits, Predictor Variables, Smoking, Failure
Li, Yibing; Garland, Marshall; Kilborn, Mitchell – Regional Educational Laboratory Southwest, 2022
The School Improvement Division of the Texas Education Agency (TEA) identifies, monitors, and supports low-performing schools. To identify low-performing schools, TEA assigns annual academic accountability ratings to its districts and schools, but these ratings are provided only once per year and are vulnerable to disruptions in the assessment…
Descriptors: Accountability, Low Achievement, Educational Indicators, Student Behavior
Regional Educational Laboratory Southwest, 2022
The School Improvement Division of the Texas Education Agency (TEA) identifies, monitors, and supports low-performing schools. To identify low-performing schools, TEA assigns annual academic accountability ratings to its districts and schools, but these ratings are provided only once per year and are vulnerable to disruptions in the assessment…
Descriptors: Accountability, Low Achievement, Educational Indicators, Student Behavior
Vollet, Justin W.; Kindermann, Thomas A. – International Journal of Behavioral Development, 2020
This study examined the role that peer groups play in shaping students' academic re-engagement across their first year in middle school and whether influences are stronger from peers with whom students remained affiliated over time. Data were collected on an entire cohort of 366 sixth graders (48% female) in a small town. Students reported on…
Descriptors: Academic Persistence, Peer Groups, Peer Influence, Learner Engagement
Samantha Brooks – ProQuest LLC, 2018
Background: For decades, public education, particularly in urban communities, has failed to ensure students of color are able to experience sustained academic success. As a result, campuses within these communities often find themselves vacillating between impending school improvement reforms and short-lived school improvements, only to return to…
Descriptors: High Schools, Urban Schools, Principals, Teacher Leadership
Young, Ellie L.; Moulton, Sara E.; Julian, Alex – Preventing School Failure, 2021
The authors compared data from a social-emotional-behavior screener (i.e., the "Student Risk Screening Scale--Internalizing and Externalizing" [SRSS-IE]) with data from a high school early warning system. Data from 2,256 suburban high school students were used. Research questions examined the degree to which student demographic variables…
Descriptors: Student Behavior, Social Development, Emotional Development, At Risk Persons
Mac Iver, Martha Abele; Wills, Kellie; Sheldon, Steven; Clark, Emily; Mac Iver, Douglas J. – School Community Journal, 2021
Improving ninth grade course passing rates has been shown to be crucial in improving high school outcomes. Yet at this critical transition to high school, family engagement has tended to decrease. This study explores how increasing use of the parent portal could potentially help to reduce ninth grade failure. Using automatically generated…
Descriptors: Urban Schools, Family Involvement, Academic Failure, Academic Achievement
Mac Iver, Martha Abele; Wills, Kellie; Sheldon, Steven; Clark, Emily; Mac Iver, Douglas J. – Grantee Submission, 2021
Improving ninth grade course passing rates has been shown to be crucial in improving high school outcomes. Yet at this critical transition to high school, family engagement has tended to decrease. This study explores how increasing use of the parent portal could potentially help to reduce ninth grade failure. Using automatically-generated…
Descriptors: Urban Schools, Family Involvement, Academic Failure, Academic Achievement
Inglés, Cándido J.; Aparisi, D.; Delgado, B.; Granados, L.; García-Fernández, José M. – Electronic Journal of Research in Educational Psychology, 2017
Introduction: The aim of this study was to analyze the relationship between sociometric types, behavioral categories and self-attributions for academic failure ("Ability", "Effort" or "External Causes") in "Reading", "Mathematics" and "General". Method: The total sample was composed of…
Descriptors: Academic Failure, Secondary Education, Sociometric Techniques, Foreign Countries
Kuo, Yi-Lung; Allen, Jeff; Casillas, Alex – ACT, Inc., 2020
This study investigated the relationships between social and emotional learning factors and course failure for 9,308 7th-9th graders. Student self-report measures of social and emotional learning (SEL) and biographical factors (ACT® Engage® Grades 6-9) were analyzed through multiple regression models with propensity score weighting techniques. The…
Descriptors: Social Development, Emotional Development, Grade 7, Grade 8