NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Teachers1
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 67 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Zarnow, Stefanie; Off, Mona – AERA Online Paper Repository, 2023
Numerous activities and measures can be observed in the context of digitization. However, these are often not interrelated or sufficiently anchored institutionally and structurally with regard to overarching goals. The aim of this study is therefore to carry out a theory-based clustering of connotations with the concept of digit(al)ization in…
Descriptors: Technology Uses in Education, Theories, Adults, Attitudes
Palmer, Bryan – National Centre for Vocational Education Research (NCVER), 2022
This paper summarises the exploratory quantitative analysis undertaken to investigate how vocational education and training (VET) students cluster and segment in the Australian VET market. This analysis is outlined in three sections. The first section focuses on 'clustering' as a technique for grouping data and the three clustering algorithms…
Descriptors: Vocational Education, Foreign Countries, Labor Market, Multivariate Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Salehudin, Imam; Alpert, Frank – Education & Training, 2022
Purpose: This study analyzed segment differences of student preference for video use in lecture classes and university use of video lecture classes. The authors then conducted novel gap analyses to identify gaps between student segments' preferences for videos versus their level of exposure to in-class videos. Multivariate analysis of variance…
Descriptors: Preferences, Video Technology, Class Activities, College Students
Peer reviewed Peer reviewed
Direct linkDirect link
Nabizadeh, Amir Hossein; Goncalves, Daniel; Gama, Sandra; Jorge, Joaquim – IEEE Transactions on Learning Technologies, 2022
The main challenge in higher education is student retention. While many methods have been proposed to overcome this challenge, early and continuous feedback can be very effective. In this article, we propose a method for predicting student final grades in a course using only their performance data in the current semester. It assists students in…
Descriptors: College Students, Prediction, Grades (Scholastic), Game Based Learning
Luke Keele; Matthew Lenard; Lindsay Page – Annenberg Institute for School Reform at Brown University, 2021
In education settings, treatments are often non-randomly assigned to clusters, such as schools or classrooms, while outcomes are measured for students. This research design is called the clustered observational study (COS). We examine the consequences of common support violations in the COS context. Common support violations occur when the…
Descriptors: Cluster Grouping, Educational Environment, Outcomes of Treatment, Compliance (Psychology)
Peer reviewed Peer reviewed
Direct linkDirect link
Karagiannopoulou, Evangelia; Milienos, Fotios S.; Kamtsios, Spiridon; Rentzios, Christos – Educational Psychology, 2020
The study aims at investigating students' learning/defence profiles. It also explores students' profiles during different years of study. Participants comprised of 425 undergraduates. They completed the 'Approaches to Study and Skills Inventory' and the 'Defense Style Questionnaire'. The students' academic achievement was measured through grade…
Descriptors: Cognitive Style, Profiles, Measures (Individuals), Study Habits
Peer reviewed Peer reviewed
Direct linkDirect link
Pouwels, J. Loes; Salmivalli, Christina; Saarento, Silja; van den Berg, Yvonne H. M.; Lansu, Tessa A. M.; Cillessen, Antonius H. N. – Child Development, 2018
The aim of this study was to determine how trajectory clusters of social status (social preference and perceived popularity) and behavior (direct aggression and prosocial behavior) from age 9 to age 14 predicted adolescents' bullying participant roles at age 16 and 17 (n = 266). Clusters were identified with multivariate growth mixture modeling…
Descriptors: Bullying, Adolescents, Student Participation, Predictive Validity
Peer reviewed Peer reviewed
Direct linkDirect link
Poletti, Michele; Carretta, Elisa; Bonvicini, Laura; Giorgi-Rossi, Paolo – Journal of Learning Disabilities, 2018
The heterogeneity among children with learning disabilities still represents a barrier and a challenge in their conceptualization. Although a dimensional approach has been gaining support, the categorical approach is still the most adopted, as in the recent fifth edition of the "Diagnostic and Statistical Manual of Mental Disorders." The…
Descriptors: Cognitive Development, Cluster Grouping, Learning Disabilities, Identification
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Steiner, Peter M.; Kim, Jee-Seon – Society for Research on Educational Effectiveness, 2015
Despite the popularity of propensity score (PS) techniques they are not yet well studied for matching multilevel data where selection into treatment takes place among level-one units within clusters. This paper suggests a PS matching strategy that tries to avoid the disadvantages of within- and across-cluster matching. The idea is to first…
Descriptors: Computation, Outcomes of Treatment, Multivariate Analysis, Probability
Peer reviewed Peer reviewed
Direct linkDirect link
Barata, Gabriel; Gama, Sandra; Jorge, Joaquim; Gonçalves, Daniel – IEEE Transactions on Learning Technologies, 2016
State of the art research shows that gamified learning can be used to engage students and help them perform better. However, most studies use a one-size-fits-all approach to gamification, where individual differences and needs are ignored. In a previous study, we identified four types of students attending a gamified college course, characterized…
Descriptors: Prediction, Performance, Profiles, Games
Peer reviewed Peer reviewed
Direct linkDirect link
Bowers, Alex J.; Blitz, Mark; Modeste, Marsha; Salisbury, Jason; Halverson, Richard R. – Teachers College Record, 2017
Background: Across the recent research on school leadership, leadership for learning has emerged as a strong framework for integrating current theories, such as instructional, transformational, and distributed leadership as well as effective human resource practices, instructional evaluation, and resource allocation. Yet, questions remain as to…
Descriptors: Classification, Teacher Response, Educational Practices, Leadership Effectiveness
Peer reviewed Peer reviewed
Direct linkDirect link
Cantwell, Robert H.; Bourke, Sid F.; Scevak, Jill J.; Holbrook, Allyson P.; Budd, Janene – Studies in Higher Education, 2017
A national cohort of doctoral students (n = 1390) completed a suite of metacognitive questionnaires indicating management of affective, intellectual and contingency demands in learning. Responses to the questionnaires were analysed for evidence of individual differences in reported metacognitive behaviours. Three patterns of metacognitive response…
Descriptors: Individual Differences, Doctoral Programs, Graduate Students, Metacognition
Peer reviewed Peer reviewed
Direct linkDirect link
Mohebbi, Mina; Mirnasab, Mirmahmoud; Wiener, Judith – School Psychology International, 2016
This study compared parental and school bonding in adolescents in Iran who are perpetrators of bullying, victims of bullying and not-involved in bullying. Secondary school students (N = 240) were selected by cluster random sampling and screening, and categorized as perpetrators of bullying (N = 80), victims of bullying (N = 80) and non-involved (N…
Descriptors: Foreign Countries, Bullying, Victims, Adolescents
Peer reviewed Peer reviewed
Direct linkDirect link
J. S. Hardin; G. Sarkis; P. . URC – Journal of Statistics Education, 2015
We use the Enron email corpus to study relationships in a network by applying six different measures of centrality. Our results came out of an in-semester undergraduate research seminar. The Enron corpus is well suited to statistical analyses at all levels of undergraduate education. Through this article's focus on centrality, students can explore…
Descriptors: Network Analysis, Electronic Mail, Undergraduate Study, Statistical Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Cho, Sun-Joo; Preacher, Kristopher J. – Educational and Psychological Measurement, 2016
Multilevel modeling (MLM) is frequently used to detect cluster-level group differences in cluster randomized trial and observational studies. Group differences on the outcomes (posttest scores) are detected by controlling for the covariate (pretest scores) as a proxy variable for unobserved factors that predict future attributes. The pretest and…
Descriptors: Error of Measurement, Error Correction, Multivariate Analysis, Hierarchical Linear Modeling
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5