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Anas Hajar; Mehmet Karakus – Asia Pacific Education Review, 2024
This mixed-methods study explored the nature, effectiveness, and policy implications of the fee-charging private supplementary tutoring (PT)--including online--that first-year Kazakhstani university students attended over the last 12 months. The data were collected from 952 participants using a close-ended questionnaire followed by semi-structured…
Descriptors: Foreign Countries, Program Effectiveness, Tutoring, Fees
Mingyu Feng; Natalie Brezack; Chunwei Huang; Melissa Lee; Megan Schneider; Kelly Collins; Wynnie Chan – Society for Research on Educational Effectiveness, 2024
Background/Context: Math education remains a critical focus for national education improvement. As a solution, districts in the U.S. are investing in math education technologies. Research has demonstrated the potential of these technologies to close achievement gaps (e.g., Pape et al., 2012; Roschelle et al., 2016). Student math achievement is…
Descriptors: Mathematics Education, Problem Solving, Educational Technology, Technology Uses in Education
Julie Platten – FORUM: for promoting 3-19 comprehensive education, 2024
The COVID-19 pandemic prompted unprecedented school closures in England, which quickly generated widespread concern at the impacts of missed schooling: 'lost learning' became the dominant motif of these concerns and 'catch-up' emerged as the received solution. This article focuses on the central pillar of the government's post-pandemic response:…
Descriptors: Tutors, Tutoring, Foreign Countries, Educational Policy
Ryan Hare; Ying Tang; Sarah Ferguson – IEEE Transactions on Education, 2024
Contribution: A general-purpose model for integrating an intelligent tutoring system within a serious game for use in higher education. Additionally, this article also offers discussions of proper serious game design informed by in-classroom observations and student responses. Background: Personalized learning in higher education has become a key…
Descriptors: Intelligent Tutoring Systems, Game Based Learning, Gamification, Student Attitudes
Kalena Cortes; Karen Kortecamp; Susanna Loeb; Carly Robinson – National Bureau of Economic Research, 2024
This paper presents the results from a randomized controlled trial of Chapter One, an early elementary reading tutoring program that embeds part-time tutors into the classroom to provide short bursts of 1:1 instruction. Eligible kindergarten students were randomly assigned to receive supplementary tutoring during the 2021-22 school year (N=818).…
Descriptors: Kindergarten, Tutoring, Individualized Instruction, African American Students
Carly D. Robinson; Matthew A. Kraft; Susanna Loeb; Beth Schueler – EdResearch for Action, 2024
The EdResearch for Action "Design Principles Series" focuses on a single program or practice that has been proven to have positive effects on student outcomes. Authors -- leading experts from across the field of education research -- look across many high-quality studies of similar programs to identify the components and conditions that…
Descriptors: Tutoring, Program Design, Program Implementation, Program Effectiveness
Sarah Novicoff; Susanna Loeb – Phi Delta Kappan, 2024
Since the COVID-19 pandemic, tutoring has gained popularity as a strategy to improve the academic achievement of struggling students. Intensive, relationship-based tutoring is a highly effective academic support for many students. A range of tutoring approaches are available to accelerate young students' literacy. Sarah Novicoff and Susanna Loeb…
Descriptors: Emergent Literacy, Tutoring, COVID-19, Pandemics
Jake Downs; Kathleen A. J. Mohr – Literacy Research and Instruction, 2025
Reading tutoring is a traditional technique to support the development of young readers. One relatively popular method of tutoring involves pairing a lower level reader with a higher level reader to synchronously read connected text aloud. We use the term Synchronous Paired Oral Reading Techniques (SPORT) to describe a family of related methods…
Descriptors: Reading Instruction, Elementary School Students, Tutoring, Oral Reading
Youngjin Lee – Education and Information Technologies, 2025
This study investigates the development and evaluation of a Retrieval-Augmented Generation (RAG)-based statistics tutor designed to assist students with quantitative analysis methods. The RAG approach was employed to address the well-documented issue of hallucination in Large Language Models (LLMs). A computer tutor was developed that utilizes…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Teachers, Students
Kole Norberg; Husni Almoubayyed; Stephen E. Fancsali; Logan De Ley; Kyle Weldon; April Murphy; Steve Ritter – Grantee Submission, 2023
Large Language Models have recently achieved high performance on many writing tasks. In a recent study, math word problems in Carnegie Learning's MATHia adaptive learning software were rewritten by human authors to improve their clarity and specificity. The randomized experiment found that emerging readers who received the rewritten word problems…
Descriptors: Word Problems (Mathematics), Mathematics Instruction, Artificial Intelligence, Intelligent Tutoring Systems
James Cole; Page Keller; Jillian Kinzie; George D. Kuh – Experiential Learning and Teaching in Higher Education, 2024
While peer tutoring is a valued experiential activity, little is known about the peer tutoring experience and its relationship to desired 21st century outcomes of college. This paper features the results from a multi-institution study of the characteristics and benefits of peer tutoring for tutors. The National Survey of Student Engagement was…
Descriptors: Peer Teaching, Tutoring, College Students, Experiential Learning
Seana Chaves; Valerie Lee; Sarah Morris; Ann Reinecke; Austin Tome – Learning Assistance Review, 2023
In response to the COVID-19 crisis, embedded tutoring became a popular model to address the need for additional student support in higher education. Four U.S. community colleges collaborated to develop a successful embedded tutoring model that provides a framework and definition for embedded tutoring and training for tutors and participating…
Descriptors: Tutoring, Models, Community Colleges, Training
Adam M. Lavecchia; Philip Oreopoulos; Noah Spencer – National Bureau of Economic Research, 2024
This study finds substantial reductions to criminal activity from the introduction of a comprehensive high school support program for disadvantaged youth living in the largest public housing project in Toronto. The program, called Pathways to Education, bundles supports such as regular coaching, tutoring, group activities, free public…
Descriptors: Crime Prevention, High School Students, Disadvantaged Youth, Poverty
Zotov, Vladimir; Kramkowski, Eric – International Journal of Artificial Intelligence in Education, 2023
Intelligent tutoring systems (ITSs) may augment military training systems and mitigate existing limitations in training personnel and resources. A study was conducted to investigate the effectiveness of an embedded rifle marksmanship ITS for Moving Targets (MT-ITS). MT-ITS has two main components: (1) a Smart Sight System that provides a…
Descriptors: Intelligent Tutoring Systems, Military Personnel, Military Training, Program Effectiveness
Qian Xu – Discover Education, 2024
This research suggests a methodology to examine the effectiveness Artificial Intelligence (AI) on the cognitive abilities of college students so that future researchers can utilize this experimental project to focus on how AI-powered Intelligent Tutoring Systems (ITSs) affect learning outcomes. As AI continues to revolutionize all walks of life,…
Descriptors: Artificial Intelligence, Cognitive Ability, College Students, Intelligent Tutoring Systems