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Erika L. Thompson; Toufeeq Ahmed Syed; Zainab Latif; Katie Stinson; Damaris Javier; Gabrielle Saleh; Jamboor K. Vishwanatha – Journal for STEM Education Research, 2025
Given the differences in trajectory for under-represented minorities in biomedical careers, we sought to explore how a virtual mentoring program, the National Research Mentoring Network (NRMN), and its platform (MyNRMN), may facilitate transitions in the science, technology, engineering, mathematics, and medicine (STEMM) pipeline. The purpose of…
Descriptors: College Students, STEM Education, STEM Careers, Medical Education
Peer reviewedNatalie Brezack; Melissa Lee; Kelly Collins; Wynnie Chan; Mingyu Feng – Grantee Submission, 2025
Students' effort and emotions are important contributors to math learning. In a recent study evaluating the efficacy of MathSpring, a scalable web-based intelligent tutoring system that provides students with personalized math problems and affective support, system usage data were collected for 804 U.S. 10-12-year-olds. To understand the patterns…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Behavior Patterns, Student Behavior
Camila Véliz; Oscar Navarrete – Tuning Journal for Higher Education, 2025
Like other countries, higher education in Chile still has important socio-economic gaps to be addressed. As part of the strategies to attend this challenge, peer tutoring programmes have developed considerably in recent years. Much of the research on peer tutoring in higher education has focused primarily on the impact on the students being…
Descriptors: Peer Teaching, Universities, Tutors, Tutoring
Tim Pressley; George Kuster; Kristin Bolam – Teacher Educators' Journal, 2025
The purpose of this study was to examine the academic impact of two distinct tutoring approaches implemented in a public elementary school in Virginia. The study focused on two tutoring models: a collaboratively designed university-based program that leverages pre-service teachers for in-school tutoring and a state-funded after-school initiative,…
Descriptors: Tutoring, Public Schools, Elementary Schools, Preservice Teachers
Manuel B. Garcia – Education and Information Technologies, 2025
The emergence of generative AI tools like ChatGPT has sparked investigations into their applications in teaching and learning. In computer programming education, efforts are underway to explore how this tool can enhance instructional practices. Despite the growing literature, there is a lack of synthesis on its use in this field. This rapid review…
Descriptors: Computer Science Education, Teaching Methods, Programming, Computer Uses in Education
Anitia Lubbe; Elma Marais; Donnavan Kruger – Education and Information Technologies, 2025
Amalgamating generative artificial intelligence (Gen AI), Bloom's taxonomy and critical thinking present a promising avenue to revolutionize assessment pedagogy and foster higher-order cognitive skills needed for learning autonomy in the domain of self-directed learning. Gen AI, a subset of artificial intelligence (AI), has emerged as a…
Descriptors: Critical Thinking, Computer Software, Learning Analytics, Intelligent Tutoring Systems
Erick Fernando; Rosilah Hassan; Dina Fitria Murad; Zeyad Ghaleb Al-Mekhlafi – Educational Process: International Journal, 2025
Background/purpose: Education continues to evolve along with technological advances, and one of the biggest changes is the application of artificial intelligence (AI) in the learning process. The main problem in this study is the lack of in-depth understanding of the factors that influence the effectiveness of using AI in self-paced learning…
Descriptors: Literature Reviews, Meta Analysis, Bibliometrics, Artificial Intelligence
Genghu Shi; Shun Peng; Daphne Greenberg; Jan Frijters; Arthur C. Graesser – International Educational Data Mining Society, 2025
Adult literacy in the U.S. remains a persistent challenge. Alarmingly, half of adults demonstrated literacy skills at or below basic proficiency levels. This deficiency significantly impacts the daily functioning, workplace success, health outcomes, and socioeconomic disparities. Intelligent tutoring systems (ITS) serve as a promising solution for…
Descriptors: Adult Learning, Adult Education, Adult Students, Academic Persistence
Anas Hajar – Sage Research Methods Cases, 2025
This Case Study examines the experiences and views of primary school students regarding fee-charging private tutoring in Kazakhstan, the largest country in Central Asia. Private tutoring is commonly known as "shadow education" because it runs parallel to regular schooling and mostly follows its curriculum. It does not include…
Descriptors: Participatory Research, Research Methodology, Tutoring, Private Education
Penelope Kalogeropoulos; James Russo; Anne Roche; Peter Sullivan – Mathematics Education Research Group of Australasia, 2025
The Getting Ready in Numeracy (GRIN) program supports underachieving students by preparing them for upcoming mathematics lessons through small-group tutoring. While prior research suggests positive outcomes, student perspectives remain underexplored. This study thematically analyses responses from 311 GRIN participants (Year levels 1-9) on…
Descriptors: Foreign Countries, Elementary School Students, Secondary School Students, Mathematics Education
Nedim Slijepcevic; Ali Yaylali – Journal of Teaching and Learning, 2025
This mixed-methods study investigated the effectiveness of Generative AI (GenAI) powered intelligent tutoring systems (ITS) in undergraduate physics education, specifically comparing learning outcomes between students using Khanmigo (Khan Academy's AI tutor) and the Google search engine. The study involved 69 undergraduate students divided into…
Descriptors: Undergraduate Students, Science Education, Physics, Scientific Concepts
Jasmine Donkoh; Susan Maruca; Eli Meir – American Biology Teacher, 2025
Online learning in higher education has grown significantly over the past decade, with millions of students engaging with online learning tutorials and assessments. However, the effectiveness of online learning is less understood, particularly whether students achieve the same learning gains when taking online assessments at home versus in a…
Descriptors: Undergraduate Students, Electronic Learning, Online Courses, College Science
Matsuda, Noboru – International Journal of Artificial Intelligence in Education, 2022
This paper demonstrates that a teachable agent (TA) can play a dual role in an online learning environment (OLE) for learning by teaching--the teachable agent working as a synthetic peer for students to learn by teaching and as an interactive tool for cognitive task analysis when authoring an OLE for learning by teaching. We have developed an OLE…
Descriptors: Artificial Intelligence, Teaching Methods, Intelligent Tutoring Systems, Feedback (Response)
Exley, Sonia – Oxford Review of Education, 2022
Private supplementary tutoring (PST) is a phenomenon growing throughout the world. Looking at regions such as East Asia where it is already vast and comparing with regions where it remains modest but is rising, some authors have argued that countries must act quickly to discourage negative societal implications which arise when PST grows. One…
Descriptors: Private Education, Supplementary Education, Tutoring, Politics of Education
Pavlik, Philip I., Jr.; Zhang, Liang – Grantee Submission, 2022
A longstanding goal of learner modeling and educational data mining is to improve the domain model of knowledge that is used to make inferences about learning and performance. In this report we present a tool for finding domain models that is built into an existing modeling framework, logistic knowledge tracing (LKT). LKT allows the flexible…
Descriptors: Models, Regression (Statistics), Intelligent Tutoring Systems, Learning Processes

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