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Mingyu Feng; Neil Heffernan; Kelly Collins; Cristina Heffernan; Robert F. Murphy – Grantee Submission, 2023
Math performance continues to be an important focus for improvement. The most recent National Report Card in the U.S. suggested student math scores declined in the past two years possibly due to COVID-19 pandemic and related school closures. We report on the implementation of a math homework program that leverages AI-based one-to-one technology,…
Descriptors: Homework, Artificial Intelligence, Computer Assisted Instruction, Feedback (Response)
Campbell, Laurie O.; Howard, Cassandra; Lambie, Glenn W.; Gao, Xueying – Education and Information Technologies, 2022
Reading in upper-elementary grades includes comprehending complex texts and learning disciplinary-specific vocabulary. This study aims to determine the effects of a computer-adaptive supplementary reading program on fifth-grade students' reading achievement. Using propensity score matching to create equivalent groups of 450 students for both…
Descriptors: Reading Instruction, Reading Programs, Elementary School Students, Reading Achievement
Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
Wells, Melissa Summer – Teacher Educators' Journal, 2021
High-quality field-based experiences are at the core of teacher preparation programs; however, the COVID-19 pandemic severely limited access to such placements for pre-service teachers. This descriptive study examined how virtual tutoring in a summer-semester intermediate literacy course impacted both pre-service teachers and students served.…
Descriptors: COVID-19, Pandemics, Teacher Education Programs, Field Experience Programs
Melissa E. DeRosier; Deb Childress; Akila Raoul; Clark McKown; Kelly Kocher; Lin Ma – Online Submission, 2024
The primary purpose of this research study was to evaluate the efficacy of BASE, a self-paced online mental health education preventive intervention with middle school students. Two hundred ninety-five adolescent students were randomly assigned to receive BASE modules (n = 156) in a regular education classroom setting over a 5-week period or to a…
Descriptors: Intervention, School Health Services, Mental Health, Hispanic American Students
Andreas de Barros; Alejandro J. Ganimian – Journal of Research on Educational Effectiveness, 2024
This is one of the first studies to evaluate the impact of computer-based individualized instruction in a developing country. We randomly assigned 1,528 students in grades 6-8 in 15 "model" public schools in Rajasthan, India who were using a computer-adaptive learning software to: a control group, in which they were only able to access…
Descriptors: Foreign Countries, Individualized Instruction, Computer Assisted Instruction, Grade 6
Deborah Ann Coleman-Void – ProQuest LLC, 2022
Reading comprehension is the foundation of academic success as well as becoming a necessity of developing self-sufficient life skills. Lack of proficient reading skills are looming over middle grade students' ability to comprehend reading material across content areas. However, a lack of the skills needed to sustain a moderately productive life is…
Descriptors: Computer Software, Reading Comprehension, Reading Skills, Reading Programs
Pi-Sui Hsu; Reva Freedman; Dean LaBarbera; Ben Kluga; Rui Zhang; Crystal Berrios; Sharda Sharma – International Journal of Designs for Learning, 2025
This design case details the ten-year (2014-present) iterative process to design and develop a graph-based computer-assisted program to support middle school students' development of collaborative argumentation. We begin by describing the first two iterations of the design and discuss how we learned from the process failures. This paper focuses on…
Descriptors: Program Development, Middle School Students, Cooperation, Persuasive Discourse
Wenli Chen; Qianru Lyu; Junzhu Su – Journal of the Learning Sciences, 2024
Background: Collaborative learning is widely applied in real-world classrooms while young learners still have challenges engaging in high-quality knowledge co-construction processes. Researchers suggested an individual preparation activity before collaboration. However, there remains a limited understanding of the role of individual preparation on…
Descriptors: Cooperative Learning, Computer Assisted Instruction, Persuasive Discourse, Elementary School Students
Kirk Walters; Rachel Garrett; Dioni Garcia-Piriz; Eban Witherspoon; Max Pardo; Lauren Burr; Melissa Rogers – Society for Research on Educational Effectiveness, 2022
Background/Context: A minority of U.S. eighth graders reach the proficient level on the National Assessment of Educational Progress (U.S. Department of Education, 2021). Early evidence suggests that the pandemic has made things worse, especially so for underserved student populations (Lewis et al., 2021). Math proficiency is central to advanced…
Descriptors: COVID-19, Pandemics, Rural Schools, Grade 7
Shirin Hashim – AERA Open, 2024
This study examines the impact of an online math learning program on third through fifth grade math achievement in Louisiana. Employing Zearn Math usage metrics and administrative data from the Louisiana Department of Education, the results indicate that grade levels that programmatically used Zearn Math scored, on average, about .03 standard…
Descriptors: Elementary School Mathematics, Elementary School Students, Elementary School Teachers, Mathematics Instruction
Kirk P. Vanacore; Ashish Gurung; Andrew A. McReynolds; Allison Liu; Stacy T. Shaw; Neil T. Heffernan – Grantee Submission, 2023
As evidence grows supporting the importance of non-cognitive factors in learning, computer-assisted learning platforms increasingly incorporate non-academic interventions to influence student learning and learning related-behaviors. Non-cognitive interventions often attempt to influence students' mindset, motivation, or metacognitive reflection to…
Descriptors: Intervention, Program Effectiveness, Student Behavior, Computer Assisted Instruction
Le Viet Minh Triet; Nguyen Phu Loc; Nhu Nguyen Thanh Ngan – Mathematics Teaching Research Journal, 2024
This study examines the impact of integrating GeoGebra software with the 5E instructional model on fifth-grade students' understanding of the formula for the area of a trapezium. This quasi-experimental research involved 90 fifth-grade students in southern Vietnam, divided into experimental and control groups. The experimental group received…
Descriptors: Foreign Countries, Elementary School Mathematics, Elementary School Students, Elementary School Teachers
Xu, Bo – English Language Teaching, 2019
Recently, many local normal universities have been carrying out transformation and development project. Leshan Normal University, a local normal university, is prone to change traditional talents cultivation mode. By taking LSNU as an example, this paper attempts to make an exploration on constructing application-oriented talents training system…
Descriptors: Talent Development, English (Second Language), Second Language Learning, Second Language Instruction
Severin A. Cornelius – ProQuest LLC, 2024
This phenomenological study investigates teacher experiences using i-Ready's literacy-based software with Black male fifth-grade students in an urban school district in the Northeast region of the United States. The participant's knowledge about i-Ready is fundamental to understanding the program's impact on Black male fifth-grade students. This…
Descriptors: Elementary School Teachers, Elementary School Students, Grade 5, Blacks