Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 3 |
Descriptor
Programmed Tutoring | 3 |
Intelligent Tutoring Systems | 2 |
Academic Libraries | 1 |
Cheating | 1 |
Classification | 1 |
Coding | 1 |
College Students | 1 |
Computer Managed Instruction | 1 |
Computers | 1 |
Data | 1 |
Decision Making | 1 |
More ▼ |
Author
Chae, Chungil | 1 |
Diamond, Kelly | 1 |
Koedinger, Kenneth R. | 1 |
MacDougall, Korey | 1 |
Qin, Michael | 1 |
Ritter, Frank E. | 1 |
Rivers, Kelly | 1 |
Publication Type
Journal Articles | 3 |
Reports - Descriptive | 3 |
Education Level
Higher Education | 1 |
Postsecondary Education | 1 |
Audience
Location
West Virginia | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Ritter, Frank E.; Qin, Michael; MacDougall, Korey; Chae, Chungil – Interactive Learning Environments, 2023
We created a list of more than 140 tools that can be used to create tutoring systems, from complete tutoring systems to low-level tools for preparing instructional materials. Based on this list, we present a preliminary ontology of system dimensions that can serve as a base for a comprehensive review or in building systems. We also note that: (a)…
Descriptors: Educational Resources, Intelligent Tutoring Systems, Computer Managed Instruction, Programmed Tutoring
Diamond, Kelly – Journal of Electronic Resources Librarianship, 2019
Librarians are often asked to create instructional experiences and/or learning objects to teach students to avoid plagiarizing. Creating an effective tutorial not only requires following good instruction design principles but also understanding why and when students plagiarize and how to address students effectively about plagiarism. This article…
Descriptors: Instructional Design, Plagiarism, Prevention, College Students
Rivers, Kelly; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2017
To provide personalized help to students who are working on code-writing problems, we introduce a data-driven tutoring system, ITAP (Intelligent Teaching Assistant for Programming). ITAP uses state abstraction, path construction, and state reification to automatically generate personalized hints for students, even when given states that have not…
Descriptors: Programming, Coding, Computers, Data