Publication Date
| In 2015 | 0 |
| Since 2014 | 4 |
| Since 2011 (last 5 years) | 5 |
| Since 2006 (last 10 years) | 6 |
| Since 1996 (last 20 years) | 6 |
Descriptor
| Educational Games | 3 |
| Intelligent Tutoring Systems | 3 |
| Mathematics Instruction | 3 |
| Comparative Analysis | 2 |
| Concept Formation | 2 |
| Elementary School Mathematics | 2 |
| Elementary School Students | 2 |
| Grade 4 | 2 |
| Grade 5 | 2 |
| Grade 7 | 2 |
| More ▼ | |
Source
| International Journal of… | 6 |
Author
| Aleven, V. | 1 |
| Arroyo, Ivon | 1 |
| Baschera, Gian-Marco | 1 |
| Burelson, Winslow | 1 |
| Durlach, Paula J. | 1 |
| Gross, Markus | 1 |
| Keiser, Victoria | 1 |
| Koedinger, Kenneth R. | 1 |
| Lenat, Douglas B. | 1 |
| Matsuda, Noboru | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 6 |
| Reports - Research | 5 |
| Reports - Evaluative | 1 |
Education Level
| Elementary Education | 6 |
| Middle Schools | 4 |
| Grade 4 | 2 |
| Grade 5 | 2 |
| Grade 6 | 2 |
| Grade 7 | 2 |
| Grade 8 | 2 |
| High Schools | 2 |
| Intermediate Grades | 2 |
| Junior High Schools | 2 |
| More ▼ | |
Audience
Showing all 6 results
Rau, M. A.; Aleven, V.; Rummel, N.; Pardos, Z. – International Journal of Artificial Intelligence in Education, 2014
Providing learners with multiple representations of learning content has been shown to enhance learning outcomes. When multiple representations are presented across consecutive problems, we have to decide in what sequence to present them. Prior research has demonstrated that interleaving "tasks types" (as opposed to blocking them) can…
Descriptors: Intelligent Tutoring Systems, Visual Aids, Mathematics, Mixed Methods Research
Lenat, Douglas B.; Durlach, Paula J. – International Journal of Artificial Intelligence in Education, 2014
We often understand something only after we've had to teach or explain it to someone else. Learning-by-teaching (LBT) systems exploit this phenomenon by playing the role of "tutee." BELLA, our sixth-grade mathematics LBT systems, departs from other LTB systems in several ways: (1) It was built not from scratch but by very slightly…
Descriptors: Artificial Intelligence, Knowledge Level, Mathematics Instruction, Teaching Methods
Pareto, Lena – International Journal of Artificial Intelligence in Education, 2014
In this paper we will describe a learning environment designed to foster conceptual understanding and reasoning in mathematics among younger school children. The learning environment consists of 48 2-player game variants based on a graphical model of arithmetic where the mathematical content is intrinsically interwoven with the game idea. The…
Descriptors: Concept Formation, Mathematical Concepts, Mathematics Instruction, Educational Games
Arroyo, Ivon; Woolf, Beverly Park; Burelson, Winslow; Muldner, Kasia; Rai, Dovan; Tai, Minghui – International Journal of Artificial Intelligence in Education, 2014
This article describes research results based on multiple years of experimentation and real-world experience with an adaptive tutoring system named Wayang Outpost. The system represents a novel adaptive learning technology that has shown successful outcomes with thousands of students, and provided teachers with valuable information about…
Descriptors: Intelligent Tutoring Systems, Multimedia Instruction, Mathematics Instruction, Learner Engagement
Matsuda, Noboru; Yarzebinski, Evelyn; Keiser, Victoria; Raizada, Rohan; Stylianides, Gabriel J.; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2013
In this paper we investigate how competition among tutees in the context of learning by teaching affects tutors' engagement as well as tutor learning. We conducted this investigation by incorporating a competitive Game Show feature into an online learning environment where students learn to solve algebraic equations by teaching a synthetic…
Descriptors: Teaching Methods, Competition, Educational Games, Equations (Mathematics)
Baschera, Gian-Marco; Gross, Markus – International Journal of Artificial Intelligence in Education, 2010
We present an inference algorithm for perturbation models based on Poisson regression. The algorithm is designed to handle unclassified input with multiple errors described by independent mal-rules. This knowledge representation provides an intelligent tutoring system with local and global information about a student, such as error classification…
Descriptors: Foreign Countries, Spelling, Intelligent Tutoring Systems, Prediction

Peer reviewed
Direct link
