Publication Date
| In 2015 | 5 |
Descriptor
| Intelligent Tutoring Systems | 4 |
| Instructional Effectiveness | 3 |
| Automation | 2 |
| Computer Science Education | 2 |
| Computer Simulation | 2 |
| Accuracy | 1 |
| Artificial Intelligence | 1 |
| Biology | 1 |
| Comparative Analysis | 1 |
| Computation | 1 |
| More ▼ | |
Source
| International Journal of… | 5 |
Author
| Alvarez, Nahum | 1 |
| Beaulieu, Gabriel | 1 |
| Billinghurst, Mark | 1 |
| Burrows, Steven | 1 |
| Cavazza, Marc | 1 |
| Cohen, William W. | 1 |
| Gurevych, Iryna | 1 |
| Koedinger, Kenneth R. | 1 |
| Lebeau, Jean-François | 1 |
| Matsuda, Noboru | 1 |
| More ▼ | |
Publication Type
| Journal Articles | 5 |
| Reports - Research | 5 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Showing all 5 results
Peer reviewed
Direct linkMatsuda, Noboru; Cohen, William W.; Koedinger, Kenneth R. – International Journal of Artificial Intelligence in Education, 2015
SimStudent is a machine-learning agent initially developed to help novice authors to create cognitive tutors without heavy programming. Integrated into an existing suite of software tools called Cognitive Tutor Authoring Tools (CTAT), SimStudent helps authors to create an expert model for a cognitive tutor by tutoring SimStudent on how to solve…
Descriptors: Intelligent Tutoring Systems, Programming, Computer Simulation, Models
Alvarez, Nahum; Sanchez-Ruiz, Antonio; Cavazza, Marc; Shigematsu, Mika; Prendinger, Helmut – International Journal of Artificial Intelligence in Education, 2015
The use of three-dimensional virtual environments in training applications supports the simulation of complex scenarios and realistic object behaviour. While these environments have the potential to provide an advanced training experience to students, it is difficult to design and manage a training session in real time due to the number of…
Descriptors: Intelligent Tutoring Systems, Safety Education, Virtual Classrooms, Biology
Burrows, Steven; Gurevych, Iryna; Stein, Benno – International Journal of Artificial Intelligence in Education, 2015
Automatic short answer grading (ASAG) is the task of assessing short natural language responses to objective questions using computational methods. The active research in this field has increased enormously of late with over 80 papers fitting a definition of ASAG. However, the past efforts have generally been ad-hoc and non-comparable until…
Descriptors: Grading, Automation, Natural Language Processing, Computation
Paquette, Luc; Lebeau, Jean-François; Beaulieu, Gabriel; Mayers, André – International Journal of Artificial Intelligence in Education, 2015
Model-tracing tutors (MTTs) have proven effective for the tutoring of well-defined tasks, but the pedagogical interventions they produce are limited and usually require the inclusion of pedagogical content, such as text message templates, in the model of the task. The capability to generate pedagogical content would be beneficial to MTT…
Descriptors: Intelligent Tutoring Systems, Intervention, Instruction, Automation
Westerfield, Giles; Mitrovic, Antonija; Billinghurst, Mark – International Journal of Artificial Intelligence in Education, 2015
We investigate the combination of Augmented Reality (AR) with Intelligent Tutoring Systems (ITS) to assist with training for manual assembly tasks. Our approach combines AR graphics with adaptive guidance from the ITS to provide a more effective learning experience. We have developed a modular software framework for intelligent AR training…
Descriptors: Intelligent Tutoring Systems, Computer Simulation, Computer Science Education, Instructional Effectiveness
