NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Showing all 12 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
E. Gothai; S. Saravanan; C. Thirumalai Selvan; Ravi Kumar – Education and Information Technologies, 2024
In recent years, online education has been given more and more attention with the widespread use of the internet. The teaching procedure divides space and makes time for online learning; though teachers cannot control the learners accurately, the state of education calculates learners' learning situation. This paper explains that the discourse…
Descriptors: Artificial Intelligence, Discourse Analysis, Classification, Comparative Analysis
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
Peer reviewed Peer reviewed
Direct linkDirect link
Balti, Rihab; Hedhili, Aroua; Chaari, Wided Lejouad; Abed, Mourad – Education and Information Technologies, 2023
Since the COVID pandemic, universities propose online education to ensure learning continuity. However, the insufficient preparation led to a major drop in the learner's performance and his/her dissatisfaction with the learning experience. This may be due to several reasons, including the insensitivity of the virtual learning environment to the…
Descriptors: Cognitive Style, Pandemics, COVID-19, Distance Education
Peer reviewed Peer reviewed
Direct linkDirect link
Shi, Meijia; Tan, Cheng Yong – New Zealand Journal of Educational Studies, 2020
Classroom discussions represent a common learning activity for students in schools. The prevailing discourse has focused on how to encourage as many students as possible to participate actively in classroom discussions with the assumption that only vocal students are engaged learners. The present essay critically challenges this position by…
Descriptors: Learner Engagement, Classroom Communication, Classification, Inclusion
Las-Vergnas, Olivier – Online Submission, 2016
The purpose of this paper is to present complementary studies focused on the a posteriori effects of school science categorization (SSC) on adults' relationships to scientific knowledge. This interest of this issue is linked to the fact that specificities of the science secondary school diplomas in many countries such as France make many adults…
Descriptors: STEM Education, Secondary School Students, Foreign Countries, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Sandman, C. A.; Kemp, A. S.; Mabini, C.; Pincus, D.; Magnusson, M. – Journal of Intellectual Disability Research, 2012
Background: Self-injuring acts are among the most dramatic behaviours exhibited by human beings. There is no known single cause and there is no universally agreed upon treatment. Sophisticated sequential and temporal analysis of behaviour has provided alternative descriptions of self-injury that provide new insights into its initiation and…
Descriptors: Behavior Problems, Injuries, Self Destructive Behavior, Role
Peer reviewed Peer reviewed
Direct linkDirect link
Fanfarelli, Joseph R.; McDaniel, Rudy – Journal of Educational Technology Systems, 2015
Badge use has rapidly expanded in recent years and has benefited a variety of applications. However, a large portion of the research has applied a binary "useful" or "not useful" approach to badging. Few studies examine the characteristics of the user and the impact of those characteristics on the effectiveness of the badging…
Descriptors: College Students, Recognition (Achievement), Individual Differences, Student Characteristics
Peer reviewed Peer reviewed
Direct linkDirect link
McMullen, Jake A.; Veermans, Koen; Laine, Kaarina – Scandinavian Journal of Educational Research, 2014
Despite the recent technical and theoretical advances in the investigation of children's social relations, the inherent complexity of these methods may prevent their easy integration into the classroom. A simple and effective tool can be valuable for teachers who wish to investigate students' social realities in the classroom. Therefore, the…
Descriptors: Sociometric Techniques, Classroom Techniques, Evaluation Methods, Evaluation Research
Peer reviewed Peer reviewed
Direct linkDirect link
Wu, Li-Tzy; Ringwalt, Christopher L.; Mannelli, Paolo; Patkar, Ashwin A. – Journal of the American Academy of Child & Adolescent Psychiatry, 2008
The study investigates the prevalence, patterns, and correlates of adolescents' abuse, sub-threshold dependence, and dependence on prescription pain relievers (PPRs) in a nationally representative sample. Results show dependence on PPRs can take place without abuse and that sub-threshold dependence could have implications for major diagnostic…
Descriptors: Adolescents, Classification, Clinical Diagnosis, Substance Abuse
Jamison, Wesley – 1980
The richness of the information available in cross-classification tables, compared to the information conveyed in the typical correlation coefficient, is emphasized in this paper. The kinds of information to be found in cross-classification tables are described, and several examples of the use of cross-classification patterns in research are…
Descriptors: Behavior Patterns, Classification, Correlation, Development
Peer reviewed Peer reviewed
Braucht, G. Nicholas; And Others – Journal of Consulting and Clinical Psychology, 1978
Examined subgroups of people in relation to specific types of drugs. Multiple drug clusters identified here yielded six basic drug clusters. Typology of drug abusers was developed by proximity cluster analysis. Set of psychosocial measures was differentially related to use of types of drugs and drug abusers. (Author/BEF)
Descriptors: Adults, Behavior Patterns, Classification, Cluster Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
LaBrie, Joseph W.; Tawalbeh, Summer; Earleywine, Mitchell – Journal of College Student Development, 2006
Identifying students at risk for violating alcohol policies could help college administrators minimize many problems. In this study, 154 male college freshmen [mean age 18.01 (SD = 0.50); 63% (n = 54) Caucasian], 68 of whom had been adjudicated for violating alcohol policies, completed an initial questionnaire assessing demographic characteristics…
Descriptors: Males, Health Behavior, College Freshmen, Drinking