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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.


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Book ChapterDOI
28 Aug 2000
TL;DR: In this article, the authors present adaptive navigation support and adaptive collaboration support tasks in WebDL, an interactive system for focusing teaching on student performance and resolving problems detected in Internet use for distance learning.
Abstract: This article presents adaptive navigation support and adaptive collaboration support tasks in WebDL, an interactive system for focusing teaching on student performance and resolving problems detected in Internet use for distance learning. This adaptation is done through user model acquisition from the student data available and interaction with the system. WebDL combines techniques used in intelligent tutoring systems, adaptive hypermedia programs and learning apprentice systems for software personalization.

26 citations

Book ChapterDOI
14 Jun 2010
TL;DR: The Pittsburgh Science of Learning Center's DataShop is an open data repository and set of associated visualization and analysis tools that store data from thousands of students deriving from interactions with on-line course materials and intelligent tutoring systems.
Abstract: The Pittsburgh Science of Learning Center's DataShop is an open data repository and set of associated visualization and analysis tools DataShop has data from thousands of students deriving from interactions with on-line course materials and intelligent tutoring systems The data is fine-grained, with student actions recorded roughly every 20 seconds, and it is longitudinal, spanning semester or yearlong courses Currently over 188 datasets are stored including over 42 million student actions and over 150,000 student hours of data Most student actions are “coded” meaning they are not only graded as correct or incorrect, but are categorized in terms of the hypothesized competencies or knowledge components needed to perform that action.

26 citations

Proceedings ArticleDOI
14 Feb 2012
TL;DR: This work discusses the design of PhysicsBook, a prototype system that enables users to solve physics problems using a sketch-based interface and then animates any diagram used in solving the problem to show that the solution is correct.
Abstract: We present PhysicsBook, a prototype system that enables users to solve physics problems using a sketch-based interface and then animates any diagram used in solving the problem to show that the solution is correct. PhysicsBook recognizes the diagrams in the solution and infers relationships among diagram components through the recognition of mathematics and annotations such as arrows and dotted lines. For animation, PhysicsBook uses a customized physics engine that provides entry points for hand-written mathematics and diagrams. We discuss the design of PhysicsBook, including details of algorithms for sketch recognition, inference of user intent and creation of animations based on the mathematics written by a user. Specifically, we describe how the physics engine uses domain knowledge to perform data transformations in instances where it cannot use a given equation directly. This enables PhysicsBook to deal with domains of problems that are not directly related to classical mechanics. We provide examples of scenarios of how PhysicsBook could be used as part of an intelligent tutoring system and discuss the strengths and weaknesses of our current prototype. Lastly, we present the findings of a preliminary usability study with five participants.

26 citations

Journal ArticleDOI
TL;DR: This paper presents a study in which a fixed sequence of alternating worked examples and tutored problem solving with a strategy that adapts learning tasks to students’ needs is compared.
Abstract: The main learning activity provided by intelligent tutoring systems is problem solving, although several recent projects investigated the effectiveness of combining problem solving with worked examples. Previous research has shown that learning from examples is an effective learning strategy, especially for novice learners. A worked example provides step-by-step explanations of how a problem is solved. Many studies have compared learning from examples to unsupported problem solving, and suggested presenting worked examples to students in the initial stages of learning, followed by problem solving once students have acquired enough knowledge. This paper presents a study in which we compare a fixed sequence of alternating worked examples and tutored problem solving with a strategy that adapts learning tasks to students' needs. The adaptive strategy determines the type of the task (a worked example, a faded example or a problem to be solved) based on how much assistance the student received on the previous problem. The results show that students in the adaptive condition learnt significantly more than their peers who were presented with a fixed sequence of worked examples and problem solving. Novices from the adaptive condition learnt faster than novices from the control group, while the advanced students from the adaptive condition learnt more than their peers from the control group.

26 citations

Journal ArticleDOI
TL;DR: This study describes the Virtual Programmable Logic Controller (Virtual PLC), a web‐based system for PLC education that consists of educational simulations to help students visualize abstract concepts, practice programming and device interfacing skills, and understand problem‐solving processes.
Abstract: This study describes the Virtual Programmable Logic Controller (Virtual PLC), a web-based system for PLC education that consists of (1) educational simulations to help students visualize abstract concepts, practice programming and device interfacing skills, and understand problem-solving processes; and (2) a simple intelligent tutoring system. Results from two preliminary evaluations are also presented. Index Terms—PLC, intelligent tutoring system, simulation, manufacturing engineering education. © 2005 Wiley Periodicals, Inc. Comput Appl Eng Educ 13: 266–279, 2005; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.20052

26 citations


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Performance
Metrics
No. of papers in the topic in previous years
YearPapers
202322
202244
202199
2020110
2019138
2018165