Intelligent tutoring system

About: Intelligent tutoring system is a research topic. Over the lifetime, 3472 publications have been published within this topic receiving 58217 citations. The topic is also known as: ITS.

The Impact of Game-Like Features on Learning from an Intelligent Tutoring System

Abstract: Prior research has shown that students learn from Intelligent Tutoring Systems (ITS). However, students’ attention may drift or become disengaged with the task over extended amounts of instruction. To remedy this problem, researchers have examined the impact of game-like features (e.g., a narrative) in digital learning environments on motivation and learning. Some of this research has concluded that the game-like features decrease learning because the features take away resources from the primary task of learning subject-matter content. However, these experiments have involved short-term interventions of less than an hour. Two experiments using college students examined the impact of adding game-like features to the ITS AutoTutor in an intervention that lasted 4 h. In one study, a game-like version was compared to a text-only version and a “do nothing” control. In another study, a game-like version was compared to a nongame version that had similar interfaces. Unlike prior research that has shown that narratives decrease learning in digitally-based learning environments, the game-like features, which included a narrative, had little impact on learning from the ITS. Reasons for the discrepancies are discussed.

Personalized Intelligent M-learning System for Supporting Effective English Learning

Abstract: To provide an effective and flexible learning environment for english learning, this study adopts the advantages of the mobile learning to present a personalized intelligent m-learning system (PIMS) which can appropriately recommend english news articles to learners based on the learners' reading abilities evaluated by the proposed fuzzy item response theory (FIRT) for non-native english speakers. In addition, to promote an individual's ability to read news articles in english, the new or unfamiliar vocabularies of the individual learner can also be automatically discovered and retrieved from the reading english news articles by the PIMS system according to the english vocabulary ability of the individual learner for enhancing vocabulary learning.

Intelligent Tutoring System

Abstract: Intelligent Tutoring System is a tutor behaviour system which can be used as an alternative goal for interactive e-learning and distant learning. This system can provide an adaptive system to support student’s learning and retention process based on their characteristic and needed. There are development method such as bayesian network, and neural network that can build fundamental component of Intelligent Tutoring System. This paper will give some concepts and examples for implementing those method from other papers. Index Terms—intelligent tutoring system, artificial intelligent, neural network, bayesian network, ontology

Tactical Action Officer Intelligent Tutoring System (TAO ITS)

Abstract: : The U.S. Navy's Surface Warfare Officers School (SWOS) in Rhode Island is pioneering the use of a low-cost, simulation-based intelligent tutoring system (ITS) as part of its Tactical Action Officer (TAO) training program to train Navy officers in high-level tactical skills. This software was designed and built for SWOS for use on standard PCs, and the Navy has a royalty-free license to use it. A key objective of the software is to increase the active training that officers receive to improve their ability to apply their conceptual knowledge of tactics. Early results from its use with two classes are encouraging and indicate that the software will succeed in this goal by enabling as much as a 10-fold increase in hands-on training. The software has three parts. First, there is a scenario generator, with which instructors -- with limited assistance from a programmer -- can create any number of simulated scenarios. These can be set in any part of the world, and populated with different surface and air platforms. Each individual platform is implemented as an "intelligent agent" and can be given its own performance characteristics and behaviors. Second, there is the ITS, which presents selected scenarios to the student to practice different tactical concepts. The third part of the software is an instructor interface tool for instructors to review the students' work with the tutoring system in detail. This paper describes what the TAO ITS can do and the benefits it can provide. It also includes an explanation of why the case-based reasoning technique was used in the software to reduce three problems commonly associated with intelligent tutoring systems: effective incorporation of subject expert knowledge in the software, cost, and development time. It also reviews SWOS's experience with the software since its introduction, students' opinions of the software, and ways in which future simulation-based ITSs might be improved based on SWOS's experience.

Should I Teach My Computer Peer? Some Issues in Teaching a Learning Companion

Abstract: This paper describes work carried out to explore the role of a learning companion as a student of the human student. A LCS for Binary Boolean Algebra has been developed to explore the hypothesis that a learning companion with less expertise than the human student would be beneficial for the student in her learning. The system implemented two companions with different expertise and two types of motivational conditions. Results from a empirical evaluation suggested that subjects interacting with a less capable companion (weak) have a trend of more improvement than subjects interacting with a more capable companion (strong). Finally, the experiment also suggested that learning companions might be confusing for students if they try to resemble human behaviour, i.e. if they do not perform as they are told.