NotesFAQContact Us
Collection
Advanced
Search Tips
Showing 1 to 15 of 604 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Duraisamy Akila; Harish Garg; Souvik Pal; Sundaram Jeyalaksshmi – Education and Information Technologies, 2024
Online education has been expected to be the future of learning; it will never replace the value of traditional classroom experiences fully. Technical problems have less impact on offline education, which gives students more freedom to plan their time and stick to it. In addition, teachers cannot observe their students' behavior and activities…
Descriptors: In Person Learning, Student Behavior, Attention, Artificial Intelligence
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Simon Grey; Neil Gordon – New Directions in the Teaching of Natural Sciences, 2024
It is widely recognised that feedback is an important part of learning: effective feedback should result in a meaningful change in student behaviour (Morris et al., 2021). However, individual feedback takes time to produce, and for large cohorts -- typified by the North of 300 challenge in computing (CPHC, 2019), it can be difficult to do so in a…
Descriptors: Student Evaluation, Evaluation Methods, Scoring Rubrics, Feedback (Response)
Peer reviewed Peer reviewed
Direct linkDirect link
Jan Gunis; L'ubomir Snajder; L'ubomir Antoni; Peter Elias; Ondrej Kridlo; Stanislav Krajci – IEEE Transactions on Education, 2025
Contribution: We present a framework for teachers to investigate the relationships between attributes of students' solutions in the process of problem solving or computational thinking. We provide visualization and evaluation techniques to find hidden patterns in the students' solutions which allow teachers to predict the specific behavior of…
Descriptors: Artificial Intelligence, Educational Games, Game Based Learning, Problem Solving
Peer reviewed Peer reviewed
Direct linkDirect link
Philip M. Newton – Assessment & Evaluation in Higher Education, 2025
There has been considerable speculation about the risk that new generative AI tools like ChatGPT pose to higher education, particularly assessments and cheating. However it is unclear how much risk the UK higher education sector is exposed to. This survey study used a modified list experiment to evaluate that risk. Most students surveyed were…
Descriptors: Foreign Countries, Artificial Intelligence, Cheating, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Anna M. Kim; Wolfgang Wiedermann; Tyler Smith; Keith C. Herman; Wendy M. Reinke – Society for Research on Educational Effectiveness, 2025
Background: In the wake of the initial COVID-19 impact, behavioral issues in U.S. schools have been on the rise (Gewertz, 2023). Identifying evidence-based interventions (EBIs) is critical to ensuring that students receive effective support for these growing concerns. However, traditional methods for evaluating intervention effectiveness remain a…
Descriptors: Middle School Teachers, Middle School Students, Student Behavior, Program Effectiveness
Ben Backes; James Cowan; Michael DeArmond; Dan Goldhaber; Roddy Theobald – Phi Delta Kappan, 2025
Researchers from the Center for Analysis of Longitudinal Data in Education Research at the American Institutes for Research examine two approaches to measuring teacher effectiveness: traditional value-added measures (VAMs) based on test scores and newer measures focusing on non-test outcomes like attendance and behavior. Analysis of data from…
Descriptors: Teacher Effectiveness, Outcomes of Education, Teacher Evaluation, Measurement Techniques
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Herwin, Herwin; Nurhayati, Riana; Lidyasari, Aprilia Tina; da Costa, Augusto – International Journal of Educational Methodology, 2023
Curiosity is one of the most important characters for elementary school students. However, the facts in the field show that the measurement model used by the teacher to identify the student's curiosity is not yet available in a standardized manner. This study aims to develop a model for measuring the curiosity of elementary school students using…
Descriptors: Personality Traits, Elementary School Students, Personality Measures, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Tamás Hoffmann; Bence Basa; László Bernáth; Katalin N. Kollár – Canadian Journal of School Psychology, 2025
Children live complex social lives that has various aspects, including intimate friendships, peer-acceptance and bullying dynamics which is usually studied separately in research. This study aims to investigate the interplays of these three important fields by analyzing the moderating effects of number of friendships on the relation between…
Descriptors: Foreign Countries, Elementary School Students, Friendship, Peer Acceptance
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Melina Verger; Chunyang Fan; Sébastien Lallé; François Bouchet; Vanda Luengo – Journal of Educational Data Mining, 2024
Predictive student models are increasingly used in learning environments due to their ability to enhance educational outcomes and support stakeholders in making informed decisions. However, predictive models can be biased and produce unfair outcomes, leading to potential discrimination against certain individuals and harmful long-term…
Descriptors: Algorithms, Prediction, Bias, Classification
Peer reviewed Peer reviewed
Direct linkDirect link
Kimberly Rogers Davis; Akeya Simeon; Emily Anne Pride Sutton – New Directions for Student Services, 2024
As institutions implement more comprehensive hazing prevention efforts, assessment is a necessary strategy for ensuring that programs and services for students are achieving their intended outcomes, especially as hazing behaviors change and evolve. Using a multi-stage student learning and development outcomes cycle, this article outlines steps to…
Descriptors: Hazing, Prevention, Intervention, Program Evaluation
Peer reviewed Peer reviewed
Direct linkDirect link
Youssouf Abda; Zohra Mehenaoui; Yacine Lafifi; Rochdi Boudjehem – Education and Information Technologies, 2024
In this paper, we present an approach for online course evaluation based on learners' behaviors during the learning process, where the course creator can monitor the quality status of their online courses based on learners' learning outcomes and then intervene to improve the success rate. For this purpose, a set of criteria has been developed.…
Descriptors: Educational Quality, Quality Assurance, Electronic Learning, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Aranka Bijl; Bernard P. Veldkamp; Saskia Wools; Sebastiaan de Klerk – Educational Technology Research and Development, 2024
The systematic literature review (1) investigates whether 'serious games' provide a viable solution to the limitations posed by traditional high-stakes performance assessments and (2) aims to synthesize game design principles for the game-based performance assessment of professional competencies. In total, 56 publications were included in the…
Descriptors: Educational Games, Student Evaluation, Evaluation Methods, High Stakes Tests
Peer reviewed Peer reviewed
Direct linkDirect link
Lydia Arnold; James Croxford – Teaching in Higher Education, 2025
Authentic assessment is a widely discussed concept in higher education, but it has a problem: the concept has become so all-encompassing that its meaning is now unclear. The notion has been expanded and diluted. For example, adding social justice to the definition or positioning exams as authentic, adds to the contradictions inherent within in the…
Descriptors: Performance Based Assessment, Higher Education, Vocabulary, Evaluation Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Xiaohong Ji; Xin Liu; Xin Chen; Rong Li – Education and Information Technologies, 2025
Students classroom behaviours are complex and variable, involving multiple aspects such as students personality traits, learning attitudes, thinking styles and learning abilities, but traditional classroom behavioural assessment cannot comprehensively and reasonably assess students classroom learning status. The study adopts the improved Yolov5…
Descriptors: Student Behavior, Classroom Techniques, Artificial Intelligence, Identification
Kahan, Sara Kaweblum; Fairchild, Lyndsay A.; Womack, Tyler A.; Fallon, Lindsay; Dart, Evan – Communique, 2021
Functional assessments, while considered the "gold standard" for behavioral assessments, are not often implemented in school settings due the extensive amount of time, resources, and expertise required. The interview-informed synthesized contingency analysis (IISCA), is a timely, comprehensive, and accurate method for conducting such…
Descriptors: Functional Behavioral Assessment, Interviews, Evaluation Methods, Student Behavior
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  41