Publication Date
In 2025 | 3 |
Since 2024 | 9 |
Since 2021 (last 5 years) | 20 |
Since 2016 (last 10 years) | 30 |
Since 2006 (last 20 years) | 60 |
Descriptor
Source
Author
Strasburger, Tom | 3 |
Jennifer Ash | 2 |
Kostin, Irene | 2 |
Quinlan, Thomas | 2 |
Romero, Cristobal, Ed. | 2 |
Alawneh, John | 1 |
Alexander, R. Curby | 1 |
Amy L. Kelly | 1 |
Andreas Lanitis | 1 |
Ariel Chung | 1 |
Armbruster, Stephanie | 1 |
More ▼ |
Publication Type
Education Level
Elementary Secondary Education | 60 |
Higher Education | 13 |
Postsecondary Education | 12 |
Secondary Education | 6 |
High Schools | 5 |
Middle Schools | 4 |
Adult Education | 3 |
Elementary Education | 3 |
Grade 4 | 2 |
Grade 9 | 2 |
Junior High Schools | 2 |
More ▼ |
Audience
Teachers | 3 |
Administrators | 1 |
Policymakers | 1 |
Researchers | 1 |
Laws, Policies, & Programs
No Child Left Behind Act 2001 | 2 |
Elementary and Secondary… | 1 |
Assessments and Surveys
Trends in International… | 2 |
Flesch Kincaid Grade Level… | 1 |
Graduate Record Examinations | 1 |
Massachusetts Comprehensive… | 1 |
Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Eleni Dimitriadou; Andreas Lanitis – Education and Information Technologies, 2025
The body language of an educator during a class can affect student's level of interest and concentration. As an attempt to assist educators to improve their body language and speaking characteristics, a pilot body language analysis system that assesses the body language of educators was developed. The proposed application makes use of specific…
Descriptors: Automation, Nonverbal Communication, Feasibility Studies, Pilot Projects
Qing-Ke Fu; Di Zou; Haoran Xie; Gary Cheng – Computer Assisted Language Learning, 2024
Automated writing evaluation (AWE) plays an important role in writing pedagogy and has received considerable research attention recently; however, few reviews have been conducted to systematically analyze the recent publications arising from the many studies in this area. The present review aims to provide a comprehensive analysis of the…
Descriptors: Journal Articles, Automation, Writing Evaluation, Feedback (Response)
Rauber, Marcelo Fernando; Gresse Von Wangenheim, Christiane – Informatics in Education, 2023
Although Machine Learning (ML) has already become part of our daily lives, few are familiar with this technology. Thus, in order to help students to understand ML, its potential, and limitations and to empower them to become creators of intelligent solutions, diverse courses for teaching ML in K-12 have emerged. Yet, a question less considered is…
Descriptors: Artificial Intelligence, Technology Education, Elementary Secondary Education, Educational Strategies
Sativa Thompson; Hayley Didriksen; Elise Swanson; Jennifer Ash – Society for Research on Educational Effectiveness, 2024
Background: Addressing chronic absenteeism is a policy priority, with 36 states and Washington D.C. referencing attendance in ESSA accountability plans (Jordan & Miller, 2017) and a body of research establishing the connections between attendance, achievement, and social development (e.g., Gottfried, 2014; Ginsburg, 2014). The need to find…
Descriptors: Rural Schools, Attendance Patterns, Automation, Costs
Jennifer Ash – Grantee Submission, 2024
This How-To Guide is designed for school staff who want to implement a personalized messaging intervention to improve student attendance. During the 2022-23 and 2023-24 academic years, the National Center for Rural Education Research Networks (NCRERN) partnered with 47 rural districts in 16 states across the United States to pilot and test…
Descriptors: Attendance, Student Improvement, Intervention, Computer Mediated Communication
Meholick, Sarah; Honey, Rose; LaTurner, Jason – National Center for Education Statistics, 2023
Statewide longitudinal data systems (SLDSs) can enable researchers, policymakers, and practitioners to identify and understand important relationships and trends across the education-to-workforce continuum. A well-developed SLDS can increase state and territory governments' ability to establish more informed and equitable policies, enable agency…
Descriptors: Longitudinal Studies, State Programs, State Policy, Data Collection
Denning, Peter J.; Tedre, Matti – Informatics in Education, 2021
Over its short disciplinary history, computing has seen a stunning number of descriptions of the field's characteristic ways of thinking and practicing, under a large number of different labels. One of the more recent variants, notably in the context of K-12 education, is "computational thinking", which became popular in the early 2000s,…
Descriptors: Thinking Skills, Computation, Computer Science, Mathematics
Orhani, Senad; Saramati, Emir; Drini, Lulzim – European Journal of Educational Management, 2023
In recent years, our schools have faced the necessity of creating a new school administration system, which would provide a good basis for electronic management. In this article, we will show how an electronic school management system works, and we will track the teachers' opinions from our school regarding the use of the electronic school…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, School Administration
Mercer, Sterett H.; Cannon, Joanna E.; Squires, Bonita; Guo, Yue; Pinco, Ella – Canadian Journal of School Psychology, 2021
We examined the extent to which automated written expression curriculum-based measurement (aWE-CBM) can be accurately used to computer score student writing samples for screening and progress monitoring. Students (n = 174) with learning difficulties in Grades 1 to 12 who received 1:1 academic tutoring through a community-based organization…
Descriptors: Curriculum Based Assessment, Automation, Scoring, Writing Tests
Ji Yoon Jung; Lillian Tyack; Matthias von Davier – Large-scale Assessments in Education, 2024
Background: Artificial intelligence (AI) is rapidly changing communication and technology-driven content creation and is also being used more frequently in education. Despite these advancements, AI-powered automated scoring in international large-scale assessments (ILSAs) remains largely unexplored due to the scoring challenges associated with…
Descriptors: Artificial Intelligence, Automation, Scoring, International Assessment
Kosh, Audra E.; Simpson, Mary Ann; Bickel, Lisa; Kellogg, Mark; Sanford-Moore, Ellie – Educational Measurement: Issues and Practice, 2019
Automatic item generation (AIG)--a means of leveraging technology to create large quantities of items--requires a minimum number of items to offset the sizable upfront investment (i.e., model development and technology deployment) in order to achieve cost savings. In this cost-benefit analysis, we estimated the cost of each step of AIG and manual…
Descriptors: Cost Effectiveness, Automation, Test Items, Mathematics Tests
Kabassi, Katerina; Martinis, Aristotelis; Charizanos, Panagiotis – Applied Environmental Education and Communication, 2021
Persons in the field of Environmental Education (EE) often have difficulty identifying and selecting educational programs that have the potential to best maximize needed resources to implement and achieve desired outcomes due, in part, to their lack of expertise in evaluation knowledge and practice. This article presents an approach for using a…
Descriptors: Program Effectiveness, Program Evaluation, Evaluation Criteria, Evaluation Methods
Digital Promise, 2021
The Powerful Learning with Computational Thinking report explains how the Digital Promise team works with districts, schools, and teachers to make computational thinking ideas more concrete to practitioners for teaching, design, and assessment. We describe three powerful ways of using computers that integrate well with academic subject matter and…
Descriptors: Computation, Thinking Skills, Computer Uses in Education, Data Collection
Dorottya Demszky; Jing Liu; Heather C. Hill; Shyamoli Sanghi; Ariel Chung – Annenberg Institute for School Reform at Brown University, 2023
While recent studies have demonstrated the potential of automated feedback to enhance teacher instruction in virtual settings, its efficacy in traditional classrooms remains unexplored. In collaboration with TeachFX, we conducted a pre-registered randomized controlled trial involving 523 Utah mathematics and science teachers to assess the impact…
Descriptors: Elementary Secondary Education, Mathematics Teachers, Science Teachers, Automation
Giada Spaccapanico Proietti; Mariagiulia Matteucci; Stefania Mignani; Bernard P. Veldkamp – Journal of Educational and Behavioral Statistics, 2024
Classical automated test assembly (ATA) methods assume fixed and known coefficients for the constraints and the objective function. This hypothesis is not true for the estimates of item response theory parameters, which are crucial elements in test assembly classical models. To account for uncertainty in ATA, we propose a chance-constrained…
Descriptors: Automation, Computer Assisted Testing, Ambiguity (Context), Item Response Theory