Publication Date
In 2025 | 0 |
Since 2024 | 0 |
Since 2021 (last 5 years) | 1 |
Since 2016 (last 10 years) | 1 |
Since 2006 (last 20 years) | 5 |
Descriptor
Computer Interfaces | 7 |
Intelligent Tutoring Systems | 7 |
Teaching Methods | 7 |
Educational Technology | 4 |
Foreign Countries | 4 |
Artificial Intelligence | 3 |
Arithmetic | 2 |
Computer Assisted Instruction | 2 |
Computer System Design | 2 |
Instructional Effectiveness | 2 |
Interaction | 2 |
More ▼ |
Source
Grantee Submission | 1 |
InTech | 1 |
International Association for… | 1 |
International Journal of… | 1 |
Journal of Computer Assisted… | 1 |
Journal of Interactive… | 1 |
Turkish Online Journal of… | 1 |
Author
Adams, Deanne M. | 1 |
Alcoholado, C. | 1 |
Aroyo, Lora | 1 |
Buzzi, Marina, Ed. | 1 |
Denardin, F. | 1 |
Gomez, F. | 1 |
Graesser, Arthur C. | 1 |
Grivokostopoulou, Foteini | 1 |
Hatzilygeroudis, Ioannis | 1 |
Hu, Xiangen | 1 |
Mayer, Richard E. | 1 |
More ▼ |
Publication Type
Journal Articles | 4 |
Reports - Descriptive | 4 |
Reports - Research | 2 |
Speeches/Meeting Papers | 2 |
Books | 1 |
Collected Works - General | 1 |
Education Level
Adult Education | 1 |
Elementary Education | 1 |
Elementary Secondary Education | 1 |
Grade 3 | 1 |
Higher Education | 1 |
Junior High Schools | 1 |
Middle Schools | 1 |
Postsecondary Education | 1 |
Secondary Education | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
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
McLaren, Bruce M.; Adams, Deanne M.; Mayer, Richard E. – International Journal of Artificial Intelligence in Education, 2015
Erroneous examples--step-by-step problem solutions with one or more errors for students to find and fix--hold great potential to help students learn. In this study, which is a replication of a prior study (Adams et al. 2014), but with a much larger population (390 vs. 208), middle school students learned about decimals either by working with…
Descriptors: Intelligent Tutoring Systems, Web Based Instruction, Arithmetic, Mathematics Instruction
Grivokostopoulou, Foteini; Hatzilygeroudis, Ioannis – International Association for Development of the Information Society, 2013
In this paper, we present a way of teaching AI search algorithms in a web-based adaptive educational system. Teaching is based on interactive examples and exercises. Interactive examples, which use visualized animations to present AI search algorithms in a step-by-step way with explanations, are used to make learning more attractive. Practice…
Descriptors: Artificial Intelligence, Mathematics, Web Based Instruction, Intelligent Tutoring Systems
Alcoholado, C.; Nussbaum, M.; Tagle, A.; Gomez, F.; Denardin, F.; Susaeta, H.; Villalta, M.; Toyama, K. – Journal of Computer Assisted Learning, 2012
Single Display Groupware (SDG) allows multiple people in the same physical space to interact simultaneously over a single communal display through individual input devices that work on the same machine. The aim of this paper is to show how SDG can be used to improve the way resources are used in schools, allowing students to work simultaneously on…
Descriptors: Foreign Countries, Educational Technology, Computer Peripherals, Computer Software
Buzzi, Marina, Ed. – InTech, 2010
E-Learning is a vast and complex research topic that poses many challenges in every aspect: educational and pedagogical strategies and techniques and the tools for achieving them; usability, accessibility and user interface design; knowledge sharing and collaborative environments; technologies, architectures, and protocols; user activity…
Descriptors: Cartoons, Foreign Countries, Electronic Learning, Distance Education
Aroyo, Lora; Mizoguchi, Riichiro – Journal of Interactive Learning Research, 2004
The ultimate aim of this research is to specify and implement a general authoring framework for content and knowledge engineering for Intelligent Educational Systems (IES). In this context we attempt to develop an authoring tool supporting this framework that is powerful in its functionality, generic in its support of instructional strategies and…
Descriptors: Educational Strategies, Engineering, Programming, Intelligent Tutoring Systems
Yaratan, Huseyin – Turkish Online Journal of Educational Technology - TOJET, 2003
An ITS (Intelligent Tutoring System) is a teaching-learning medium that uses artificial intelligence (AI) technology for instruction. Roberts and Park (1983) defines AI as the attempt to get computers to perform tasks that if performed by a human-being, intelligence would be required to perform the task. The design of an ITS comprises two distinct…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Testing, Researchers