NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Researchers1
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 38 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
PDF on ERIC Download full text
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Gonzálvez, Carolina; Sanmartín, Ricardo; Vicent, María; Inglés, Cándido J.; Aparicio-Flores, M. Pilar; García-Fernández, José M. – Psychology in the Schools, 2018
The aim of this research is twofold: to analyze the mean differences scores in mathematic self-attributions based on school refusal and to verify its predictive capability on high scores in school refusal. The Sydney Attribution Scale and the School Refusal Assessment Scale-Revised were administered to 1078 Spanish students (50.8% boys) aged…
Descriptors: Mathematics Skills, Scores, Self Concept, Attribution Theory
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Deussen, Theresa; Hanson, Havala; Bisht, Biraj – Regional Educational Laboratory Northwest, 2017
Students who drop out of high school are at increased risk of a range of negative social and economic consequences, including lower earnings and poorer health. To reduce dropout rates and lessen these negative consequences, districts around the country are using early warning indicators to identify and provide supports for students at risk of…
Descriptors: At Risk Students, High School Students, Dropouts, English Language Learners
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Stuit, David; O'Cummings, Mindee; Norbury, Heather; Heppen, Jessica; Dhillon, Sonica; Lindsay, Jim; Zhu, Bo – Regional Educational Laboratory Midwest, 2016
In partnership with the Midwest Dropout Prevention Research Alliance the study team used student-level data and a five-step process to identify the most accurate indicators of students' failure to graduate from high school on time. Student-level data came from attendance records, transcripts, and discipline records of grade 8 and 9 students in…
Descriptors: High School Students, Academic Failure, Predictor Variables, Graduation
Minor, Kelly – Texas Education Research Center, 2017
In 2015, the Texas legislature passed House Bill 18 to bolster the college and career advising available to students in middle and high schools across the state. The Bill calls for multi-agency efforts to help counselors and other school personnel prepare students for postsecondary enrollment and entry into the workforce. Housed at the University…
Descriptors: State Legislation, Educational Legislation, Academic Advising, Career Counseling
Peer reviewed Peer reviewed
Direct linkDirect link
Heiny, Robert L.; Heiny, Erik L.; Raymond, Karen – Journal of College Student Retention: Research, Theory & Practice, 2017
Two approaches, Linear Discriminant Analysis, and Logistic Regression are used and compared to predict success or failure for first-time freshmen in the first calculus course at a medium-sized public, 4-year institution prior to Fall registration. The predictor variables are high school GPA, the number, and GPA's of college prep mathematics…
Descriptors: College Freshmen, College Mathematics, Calculus, Student Placement
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Stuit, David; Lindsay, Jim; Loney, Emily – Regional Educational Laboratory Midwest, 2016
This study analyzed data on students in three Ohio school districts who had completed grades 8 and 9 to determine which data elements were the most accurate indicators of students' failure to graduate from high school on time. The most accurate indicators varied by district and grade level, which underscores the importance of having school systems…
Descriptors: Dropout Prevention, Academic Failure, Graduation, Accuracy
Peer reviewed Peer reviewed
Direct linkDirect link
Kim, Sung Reul; Kim, Hyun Kyung; Kim, Ji Young; Kim, Hye Young; Ko, Sung Hee; Park, Minyoung – Journal of School Nursing, 2016
The aim of this study was to identify smoking cessation failure subgroups among Korean adolescents. Participants were 379 smoking adolescents who joined a smoking cessation program. A questionnaire and a cotinine urine test were administered before the program began. Three months after the program ended, the cotinine urine test was repeated. A…
Descriptors: Foreign Countries, Smoking, Health Behavior, Failure
Peer reviewed Peer reviewed
Direct linkDirect link
McKee, M. Todd; Caldarella, Paul – Education, 2016
Dropping out of high school has negative results and implications for individuals and society. The likelihood of dropping out is attributed to both social and academic risk factors. Poor high school attendance, low course completion, and low grade-point-average (GPA) have been identified as three leading indicators that students are at risk for…
Descriptors: Middle School Students, High School Students, Academic Achievement, Predictor Variables
Paeplow, Colleen – Wake County Public School System, 2013
Retention means repeating one or more courses in high school, rather than a full grade. Over 3,500 high school students were retained in 2011-12 in Wake County Public School (WCPSS), with the largest numbers in grades 9 and 10. Some students enter high school below grade level. In 2011-12, half the WCPSS high schools had greater than 30% of…
Descriptors: High School Students, Readiness, Academic Failure, Reading Achievement
Previous Page | Next Page »
Pages: 1  |  2  |  3