Publication Date
| In 2026 | 1 |
| Since 2025 | 315 |
| Since 2022 (last 5 years) | 1282 |
| Since 2017 (last 10 years) | 2676 |
| Since 2007 (last 20 years) | 4951 |
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 | 165 |
| China | 139 |
| United Kingdom | 137 |
| Australia | 109 |
| Canada | 108 |
| Texas | 104 |
| 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 |
Direct linkFrey, Nancy; Fisher, Douglas; Almarode, John – Corwin, 2021
Tutoring is much more than telling students information. Effective tutoring begins with the strong and caring relationship a tutor establishes with a learner to build trust, fuel motivation, and drive critical learning. "How Tutoring Works" distills the complexity of strategic moves effective tutors make to build students' confidence and…
Descriptors: Tutoring, Interpersonal Relationship, Self Esteem, Competence
Peer reviewed
Download full textFancsali, Stephen E.; Li, Hao; Sandbothe, Michael; Ritter, Steven – International Educational Data Mining Society, 2021
Recent work describes methods for systematic, data-driven improvement to instructional content and calls for diverse teams of learning engineers to implement and evaluate such improvements. Focusing on an approach called "design-loop adaptivity," we consider the problem of how developers might use data to target or prioritize particular…
Descriptors: Instructional Development, Instructional Improvement, Data Use, Educational Technology
Zhang, Mengxue; Wang, Zichao; Baraniuk, Richard; Lan, Andrew – International Educational Data Mining Society, 2021
Feedback on student answers and even during intermediate steps in their solutions to open-ended questions is an important element in math education. Such feedback can help students correct their errors and ultimately lead to improved learning outcomes. Most existing approaches for automated student solution analysis and feedback require manually…
Descriptors: Mathematics Instruction, Teaching Methods, Intelligent Tutoring Systems, Error Patterns
Arendale, D. R. – Online Submission, 2021
Too often student services have become a provider of discrete assistance in which one-way information transactions take place between the staff/student paraprofessionals providers and the students receiving the services. Students attend academic advising appointments, listen during tutorial or small groups study meetings, and read computer screens…
Descriptors: Student Leadership, Student Organizations, Student Development, College Students
Shi, Genghu; Wang, Lijia; Zhang, Liang; Shubeck, Keith; Peng, Shun; Hu, Xiangen; Graesser, Arthur C. – Grantee Submission, 2021
Adult learners with low literacy skills compose a highly heterogeneous population in terms of demographic variables, educational backgrounds, knowledge and skills in reading, self-efficacy, motivation etc. They also face various difficulties in consistently attending offline literacy programs, such as unstable worktime, transportation…
Descriptors: Intelligent Tutoring Systems, Adult Literacy, Adult Students, Reading Comprehension
Sarah Caverly; Ginger Stoker – Society for Research on Educational Effectiveness, 2021
Background: Over the past two decades, national attention has emphasized the critical role of early literacy and language instruction in preventing reading difficulties and improved our understanding of how young children learn to read. The research has established that students who are not strong readers by Grade 3 are less likely to build…
Descriptors: Emergent Literacy, Tutoring, Academic Ability, Skill Development
Dieterle, Brandy – Communication Center Journal, 2017
Prior to being a graduate communication center consultant, the author taught first-year composition for two years. As a teacher, she focused heavily on using various forms of communication as tools for learning, modeling effective communication strategies in the classroom, and learning collaboratively. While serving as a graduate consultant the…
Descriptors: Freshman Composition, Communication Strategies, Tutoring, Teaching Methods
Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2017
Adaptive learning has become a dominant theme in settings ranging from academic laboratories to commercial education. Despite tens of millions of dollars invested by governments, universities, the private sector and companies, however, progress has been both costly and limited. No established initiative has attempted to model the processes human…
Descriptors: Intelligent Tutoring Systems, Tutors, Tutorial Programs, Delivery Systems
Windchief, 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
Danial 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
