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Kathleen Lynne Lane; Nathan Allen Lane; Mark Matthew Buckman; Katie Scarlett Lane Pelton; Kandace Fleming; Rebecca E. Swinburne Romine – Behavioral Disorders, 2025
We report the results of a convergent validity study examining the externalizing subscale (SRSS-E5, five items) of the adapted Student Risk Screening Scale for Internalizing and Externalizing (SRSS-IE 9) with the externalizing subscale of the Teacher Report Form (TRF) with two samples of K-12 students. Results of logistic regression and receiver…
Descriptors: Data Analysis, Decision Making, Data Use, Test Validity
Kooken, Janice; McCoach, D. Betsy; Chafouleas, Sandra M. – Journal of Experimental Education, 2019
Current practices for growth mixture modeling emphasize the importance of the proper parameterization and number of classes, but the impact of these decisions on latent class composition and the substantive implications has not been thoroughly addressed. Using measures of behavior from 575 middle school students, we compared the results of several…
Descriptors: Statistical Analysis, Middle School Students, Hierarchical Linear Modeling, Student Behavior
Lunneblad, Johannes; Johansson, Thomas – Gender and Education, 2021
This article explores how schools define situations in which students have been exposed to violence at school. The purpose of the study is to explore and investigate whether and how school violence is gendered and whether acts of violence are being coded as either masculine or feminine. The data were gathered at Swedish secondary schools. The…
Descriptors: Violence, Gender Differences, Student Behavior, Gender Issues
Birch, Heather J. S. – Journal of Online Learning Research, 2022
This case study is about understanding disruptive students who are motivated by a psychological need to invoke change in a learning space. Marczewski's User Types Test, a typology for classifying both intrinsic and extrinsic motivational tendencies, and based on Self-Determination Theory, was administered to 14 participants, aged 9 through 15, to…
Descriptors: Elementary School Students, High School Students, Student Behavior, Behavior Problems
Lai, Song; Sun, Bo; Wu, Fati; Xiao, Rong – IEEE Transactions on Learning Technologies, 2020
Adaptive e-learning can be used to personalize learning environment for students to meet their individual demands. Individual differences depend on the students' personality traits. Numerous studies have indicated that understanding the role of personality in the learning process can facilitate learning. Hence, personality identification in…
Descriptors: Personality Traits, Electronic Learning, Individual Differences, Learning Processes
Wise, Steven L.; Kingsbury, G. Gage – Applied Measurement in Education, 2022
In achievement testing we assume that students will demonstrate their maximum performance as they encounter test items. Sometimes, however, student performance can decline during a test event, which implies that the test score does not represent maximum performance. This study describes a method for identifying significant performance decline and…
Descriptors: Achievement Tests, Performance, Classification, Guessing (Tests)
Reyes, Marcela; Hwang, NaYoung – Educational Policy, 2021
Researchers are concerned that English language learners (ELL) may remain classified too long and, therefore, may not receive appropriate mainstream educational services. In this study, we investigate the effects of language classification on student outcomes in one California school district. Our ordinary least squares regression estimates…
Descriptors: Middle School Students, High School Students, Academic Achievement, Classification
Malkiewich, Laura; Baker, Ryan S.; Shute, Valerie; Kai, Shimin; Paquette, Luc – International Educational Data Mining Society, 2016
Educational games have become hugely popular, and educational data mining has been used to predict student performance in the context of these games. However, models built on student behavior in educational games rarely differentiate between the types of problem solving that students employ and fail to address how efficacious student problem…
Descriptors: Classification, Problem Solving, Educational Games, Models
Rowe, Elizabeth; Eagle, Michael; Hicks, Drew – International Educational Data Mining Society, 2016
Building on prior work visualizing player behavior using interaction networks [1], we examined whether measures of implicit science learning collected during gameplay were significantly related to changes in external pre-post assessments of the same constructs. As part of a national implementation study, we collected data from 329 high school…
Descriptors: Incidental Learning, Educational Games, Scientific Concepts, Optics
Loparev, Anna – ProQuest LLC, 2016
Collaboration is crucial to everything from product development in the workplace to research design in academia, yet there is no consensus on best practice when it comes to teaching collaborative skills. We explore one promising option: collaborative scaffolding in educational video games. Through this methodology, we can impart collaborative…
Descriptors: Cooperation, Middle School Students, Literature Reviews, Classification
Datta, Pooja; Cornell, Dewey; Huang, Francis – Psychology in the Schools, 2016
Separate lines of research find that proaggressive attitudes promote peer aggression and that bystanders play a pivotal role in deterring or facilitating bullying behavior. The current study hypothesized that proaggressive attitudes in middle school would deter students from standing up to bullying and encourage them to reinforce bullying…
Descriptors: Middle School Students, Aggression, Bullying, Student Attitudes
Bilton, Richard; Jackson, Alison; Hymer, Barry – School Community Journal, 2017
In this article we report case study research which focused on the nature of parent-teacher conversations at one English high school. Our research aims were to discover what parents and teachers said to each other during these events and examine how they constructed their talk. Audio recordings of parent-teacher meetings/conferences were analyzed…
Descriptors: Foreign Countries, Secondary School Teachers, High Schools, Parent Teacher Conferences
Servoss, Timothy J. – Youth & Society, 2017
Despite a nationwide trend to increase security measures in schools, their effectiveness in reducing or preventing student misbehavior remains largely unexamined. In addition, there is concern that increased security may have unintended negative side effects and is applied inequitably across students of disparate racial/ethnic backgrounds. The…
Descriptors: School Security, Student Behavior, Behavior Problems, Grade 10
Granit-Dgani, Dafna; Kaplan, Avi; Flum, Hanoch – Environmental Education Research, 2017
This article reports on the development of a theory-informed assessment instrument for use in evaluating environmental education programs. The instrument involves coding learners' brief reflective writing on five established educational and social psychological constructs that correspond to five important goals of environmental education:…
Descriptors: Environmental Education, Formative Evaluation, Coding, Writing (Composition)
González-Brenes, José P.; Huang, Yun – International Educational Data Mining Society, 2015
Classification evaluation metrics are often used to evaluate adaptive tutoring systems-- programs that teach and adapt to humans. Unfortunately, it is not clear how intuitive these metrics are for practitioners with little machine learning background. Moreover, our experiments suggest that existing convention for evaluating tutoring systems may…
Descriptors: Intelligent Tutoring Systems, Evaluation Methods, Program Evaluation, Student Behavior
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