Publication Date
| In 2026 | 1 |
| Since 2025 | 323 |
| Since 2022 (last 5 years) | 1290 |
| Since 2017 (last 10 years) | 2684 |
| Since 2007 (last 20 years) | 4959 |
Descriptor
Source
Author
Publication Type
Education Level
Audience
| Practitioners | 466 |
| Teachers | 336 |
| Researchers | 118 |
| Administrators | 76 |
| Policymakers | 76 |
| Students | 64 |
| Parents | 25 |
| Community | 16 |
| Media Staff | 11 |
| Counselors | 6 |
| Support Staff | 3 |
| More ▼ | |
Location
| California | 166 |
| China | 139 |
| United Kingdom | 137 |
| Australia | 109 |
| Canada | 108 |
| Texas | 105 |
| United States | 93 |
| Taiwan | 92 |
| Pennsylvania | 91 |
| Germany | 80 |
| United Kingdom (England) | 75 |
| More ▼ | |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
| Meets WWC Standards without Reservations | 39 |
| Meets WWC Standards with or without Reservations | 60 |
| Does not meet standards | 26 |
Peer reviewed
Direct linkWindchief, Sweeney; Arouca, Raquel; Brown, Blakely – Mentoring & Tutoring: Partnership in Learning, 2018
Researchers have demonstrated that tutoring is an effective 10 instructional model that relies upon the relationships among the tutor, the tutee, and the curriculum and not merely instructional skills or strategies. In our microethnographic case study, we investigated interactional patterns of two tutors who were pre service literacy teachers…
Descriptors: Indigenous Populations, Mentors, Graduate Students, STEM Education
Peiris, K. Dharini Amitha; Gallupe, R. Brent – Decision Sciences Journal of Innovative Education, 2018
Recommender-driven online learning systems (ROLS) are at the forefront of new computer-based learning. They incorporate machine learning to allow learning-by-doing, generating personalized recommendations in the process. This article describes the evaluations of a new type of online learning systems, ROLS. This evaluation was carried out in three…
Descriptors: Intelligent Tutoring Systems, Computer Science Education, Programming Languages, Conventional Instruction
Download full textDanial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores
Shirin Hashim – ProQuest LLC, 2024
This dissertation consists of three papers. In each paper, I leverage a different quantitative method to study a downstream effect of technology on educational outcomes. In the first paper, I study the impact of an online math learning program on 3rd through 5th grade math achievement in Louisiana. Employing Zearn Math usage metrics and…
Descriptors: Technology Uses in Education, Influence of Technology, Electronic Learning, Elementary School Mathematics
Rose E. Wang; Ana T. Ribeiro; Carly D. Robinson; Susanna Loeb; Dorottya Demszky – Annenberg Institute for School Reform at Brown University, 2024
Generative AI, particularly Language Models (LMs), has the potential to transform real-world domains with societal impact, particularly where access to experts is limited. For example, in education, training novice educators with expert guidance is important for effectiveness but expensive, creating significant barriers to improving education…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Tutors, Elementary School Students
Daniel Hamlin – Pioneer Institute for Public Policy Research, 2024
The significant decrease in student achievement levels following the pandemic has become a pressing national problem, and the Commonwealth of Massachusetts showed some of the sharpest academic achievement declines in the country. To assist schools in recovering from the pandemic, the federal government allocated three waves of funding through its…
Descriptors: Academic Achievement, Trend Analysis, COVID-19, Pandemics
Shakila Dada; Cathy Flores; Kirsty Bastable; Kerstin Tönsing; Alecia Samuels; Sourav Mukhopadhyay; Beatrice Isanda; Josephine Ohenewa Bampoe; Unati Stemela-Zali; Saira Banu Karim; Legini Moodley; Adele May; Refilwe Morwane; Katherine Smith; Rahab Mothapo; Mavis Mohuba; Maureen Casey; Zakiyya Laher; Nothando Mtungwa; Robyn Moore – International Journal of Language & Communication Disorders, 2024
Background: Over 8 million children with disabilities live in Africa and are candidates for augmentative and alternative communication (AAC), yet formal training for team members, such as speech-language therapists and special education teachers, is extremely limited. Only one university on the continent provides postgraduate degrees in AAC, and…
Descriptors: Intelligent Tutoring Systems, Augmentative and Alternative Communication, Curriculum Development, Technology Uses in Education
Sue-Jin Lee – CATESOL Journal, 2024
The emergence of AI writing assistants has raised concerns about their potential impact on language diversity, preservation, and education. This paper examines the capabilities and limitations of AI writing assistants in generating dialectic text in response to academic and professional writing prompts. The study uses a concordance tool to conduct…
Descriptors: Writing Assignments, Artificial Intelligence, Computer Software, Intelligent Tutoring Systems
Alaa Aladini; Rashed Mahmud; Abeer Ahmed Hammad Ali – Language Testing in Asia, 2024
In recent years, Intelligent Computer-Assisted Language Assessment (ICALA) has emerged as a transformative approach in language education, leveraging technology to enhance student assessment and learning processes. Despite its growing importance, there is a scarcity of research investigating the connections among needs satisfaction, teacher…
Descriptors: Intelligent Tutoring Systems, Second Language Learning, Evaluation Methods, English (Second Language)
Terrence Tianzhi Zhang – ProQuest LLC, 2024
Multilingual college students often struggle with writing and revising for academic purposes. This dissertation explored the effectiveness of a Concept-Based Language Instruction (C-BLI) approach to teaching revision processes to college-level multilingual writers. Although a significant body of research exists on effective feedback on…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Writing Instruction
Koji Osawa – RELC Journal: A Journal of Language Teaching and Research, 2024
With the recent rapid technological advance, second language (L2) educators have increasingly incorporated technologies into writing pedagogy. Two of the major technologies to promote L2 writing are e-portfolios and automated written corrective feedback (AWCF). Notably, feedback-rich portfolios facilitate L2 learners' self-regulation and writing…
Descriptors: Artificial Intelligence, Computer Software, Writing Instruction, Writing Evaluation
Almut Ketzer-Nöltge, Editor; Nicola Würffel, Editor – Peter Lang Publishing Group, 2024
For over four decades, textbooks have been enhanced with digital components, and today, it is almost impossible to find a textbook that does not contain any. Does this mean that textbooks have been fully digitalized and that we have reached a point where the integration of digital media into textbooks is the norm? Since there is no clear consensus…
Descriptors: Textbooks, Electronic Books, Computer Uses in Education, Educational History
Roslyn Arlin Mickelson; Ian Mikkelsen; Mohsen Dorodchi; Bojan Cukic; Tytianna Horn – Journal of College Student Retention: Research, Theory & Practice, 2024
Female, Black, Latinx, Native American, low-income, and rural students remain underrepresented among computer science undergraduate degree recipients. Along with student, family, and secondary school characteristics, college organizational climate, curricula, and instructional practices shape undergraduates' experiences that foster persistence…
Descriptors: Academic Persistence, Computer Science Education, Undergraduate Students, Females
Jaylin Lowe; Charlotte Z. Mann; Jiaying Wang; Adam Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Recent methods have sought to improve precision in randomized controlled trials (RCTs) by utilizing data from large observational datasets for covariate adjustment. For example, consider an RCT aimed at evaluating a new algebra curriculum, in which a few dozen schools are randomly assigned to treatment (new curriculum) or control (standard…
Descriptors: Randomized Controlled Trials, Middle School Mathematics, Middle School Students, Middle Schools
Kole A. Norberg; Husni Almoubayyed; Logan De Ley; April Murphy; Kyle Weldon; Steve Ritter – Grantee Submission, 2024
Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…
Descriptors: Artificial Intelligence, Computer Software, Computational Linguistics, Educational Change
