Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 2 |
| Since 2007 (last 20 years) | 7 |
Descriptor
Source
| Grantee Submission | 2 |
| Computers and Education | 1 |
| Educational Technology… | 1 |
| Innovations in Education and… | 1 |
| International Journal of… | 1 |
| Journal of Chemical Education | 1 |
| Journal of Educational… | 1 |
Author
| Hwang, Gwo-Jen | 2 |
| Cai, Zhiqiang | 1 |
| Camurcu, A. Yilmaz | 1 |
| Charles E. Jakobsche | 1 |
| Chun-Kit Ngan | 1 |
| Conor Milson | 1 |
| Dogan, Buket | 1 |
| Fairman, Janet | 1 |
| Feng, Mingyu | 1 |
| Gatewood, Jessica | 1 |
| Graesser, Arthur C. | 1 |
| More ▼ | |
Publication Type
| Reports - Descriptive | 8 |
| Journal Articles | 6 |
| Speeches/Meeting Papers | 2 |
Education Level
| Higher Education | 2 |
| Elementary Education | 1 |
| Elementary Secondary Education | 1 |
| High Schools | 1 |
| Middle Schools | 1 |
| Postsecondary Education | 1 |
| Secondary Education | 1 |
Audience
Location
| Maine | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Charles E. Jakobsche; Pitipat Kongsomjit; Conor Milson; Wenxing Wang; Chun-Kit Ngan – Journal of Chemical Education, 2023
The current work develops intelligent tutoring aspects for the DiscoverOChem learning platform. Intelligent tutoring systems are technology-based learning systems that can adapt the learning experience to better serve individual users. DiscoverOChem (www.discoverochem.com) is a free Internet-based platform for learning undergraduate-level organic…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Technology Uses in Education, Undergraduate Study
Lippert, Anne; Gatewood, Jessica; Cai, Zhiqiang; Graesser, Arthur C. – Grantee Submission, 2019
One out of six adults in the United States possesses low literacy skills. Many advocates believe that technology can pave the way for these adults to gain the skills that they desire. This article describes an adaptive intelligent tutoring system called AutoTutor that is designed to teach adults comprehension strategies across different levels of…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Adult Literacy, Skill Development
Walker, Erin; Rummel, Nikol; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2014
Adaptive collaborative learning support (ACLS) involves collaborative learning environments that adapt their characteristics, and sometimes provide intelligent hints and feedback, to improve individual students' collaborative interactions. ACLS often involves a system that can automatically assess student dialogue, model effective and…
Descriptors: Algebra, Peer Teaching, Tutoring, Cooperative Learning
Feng, Mingyu; Roschelle, Jeremy; Heffernan, Neil; Fairman, Janet; Murphy, Robert – Grantee Submission, 2014
Much research has been done on the development of an intelligent tutoring system (ITS), and small empirical studies have demonstrated the effectiveness of ITS at promoting student learning. However, large-scale implementation of ITS in school settings has not been researched thoroughly. In this paper, we describe an ongoing randomized controlled…
Descriptors: Intelligent Tutoring Systems, Homework, Educational Technology, Technology Uses in Education
Hwang, Gwo-Jen; Sung, Han-Yu; Hung, Chun-Ming; Huang, Iwen; Tsai, Chin-Chung – Educational Technology Research and Development, 2012
In recent years, many researchers have been engaged in the development of educational computer games; however, previous studies have indicated that, without supportive models that take individual students' learning needs or difficulties into consideration, students might only show temporary interest during the learning process, and their learning…
Descriptors: Cognitive Style, Learning Motivation, Program Effectiveness, Natural Sciences
Dogan, Buket; Camurcu, A. Yilmaz – Journal of Educational Technology Systems, 2008
Educational data mining is a very novel research area, offering fertile ground for many interesting data mining applications. Educational data mining can extract useful information from educational activities for better understanding and assessment of the student learning process. In this way, it is possible to explore how students learn topics in…
Descriptors: Intelligent Tutoring Systems, Program Effectiveness, Teaching Methods, Computer Uses in Education
Hwang, Gwo-Jen; Tseng, Judy C. R.; Hwang, Gwo-Haur – Innovations in Education and Teaching International, 2008
In the past decade, researchers have attempted to develop computer-assisted learning and testing systems to help students improve their learning performance. Conventional testing systems simply provide students with a score, and do not offer sufficient information in order to improve their learning performance. It would be of more benefit to…
Descriptors: Learning Problems, Courseware, Program Effectiveness, Mathematics
Reis, Marcelo Menezes; Paladini, Edson Pacheco; Khator, Suresh; Sommer, Willy Arno – Computers and Education, 2006
Statistical quality control--SQC (consisting of Statistical Process Control, Process Capability Studies, Acceptance Sampling and Design of Experiments) is a very important tool to obtain, maintain and improve the Quality level of goods and services produced by an organization. Despite its importance, and the fact that it is taught in technical and…
Descriptors: Artificial Intelligence, Quality Control, Teaching Methods, Statistical Analysis

Peer reviewed
Direct link
