Analysis and design of a Web-based authoring tool generating intelligent tutoring systems

Moundridou, Maria; Virvou, Maria

doi:10.1016/s0360-1315(02)00119-7

Cited by 30 publications

(23 citation statements)

References 12 publications

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“…Machine learning has been incorporated into the field of educational technology via Intelligent Tutoring Systems (ITS), or more specifically, Intelligent Language Tutoring Systems (ILTS), which offer users a way to interact with a computer by individually adjusting the sequence of instruction based upon user input (Gamper & Knapp, 2002;Moundridou & Virvou, 2003, Stockwell, 2007). An ITS system would be able to make "intelligent" decisions, such as adjusting the level placement of the user based on their performance, determining which areas require additional exercise to compensate for weaknesses, modifying settings to appropriately scaffold content based on the skill level of the user, or even changing visual cues in order to better motivate.…”

Section: Adaptationmentioning

confidence: 99%

A Review of Mobile Language Learning Applications: Trends, Challenges, and Opportunities

et al. 2016

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Mobile language learning applications have the potential to transform the way languages are learned. This study examined the fifty most popular commerciallyavailable language learning applications for mobile phones and evaluated them according to a wide range of criteria. Three major trends were found: first, apps tend to teach vocabulary in isolated units rather than in relevant contexts; second, apps minimally adapt to suit the skill sets of individual learners; and third, apps rarely offer explanatory corrective feedback to learners. Despite a pedagogical shift toward more communicative approaches to language learning, these apps are behaviorist in nature. To better align with Second Language Acquisition (SLA) and L2 pedagogical research, we recommend the incorporation of more contextualized language, adaptive technology, and explanatory feedback in these applications.

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Section: Adaptationmentioning

confidence: 99%

A Review of Mobile Language Learning Applications: Trends, Challenges, and Opportunities

et al. 2016

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“…Intelligent tutoring systems (ITS) are computer-based instructional systems designed to reproduce the behaviour of a human tutor in its ability to adapt to the learning needs of individual students (Moundridou & Virvou, 2003), and store knowledge that a human teacher would have on the content to be taught, the student, and the pedagogical strategies (Curilema, Barbosab, & de Azevedo, 2007). According to Kang and Maciejewski (2000), intelligent tutoring systems consist of four components.…”

Section: Intelligent Language Tutoring Systemsmentioning

confidence: 99%

Vocabulary on the move: Investigating an intelligent mobile phone-based vocabulary tutor

Stockwell

2007

Computer Assisted Language Learning

254

105

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Mobile learning has long been identified as one of the natural directions in which CALL is expected to move, and as smaller portable technologies become less expensive, lighter and more powerful, they have the potential to become a more integral part of language learning courses as opposed to the more supplemental role often assigned to computer labs. Mobile phones have been the topic of a number of recent studies, including for learning pragmatic phrases via mobile email, and as electronic flash cards. With the development of mobile systems that can access the Internet, more sophisticated applications which allow the use of databases and interactive web content have been made possible. The current study describes one such application, investigating the use of a prototype mobile-based intelligent vocabulary tutor system by learners in an advanced EFL class. Learners used the tutor to complete vocabulary activities in a variety of task formats through either their mobile phone or through a computer, and the system kept logs of all access to the system. A profile of each learner was created in terms of the vocabulary that they had difficulty with, and presented these items to the learners more frequently than items that were less likely to cause learners problems. Learner access logs to the vocabulary activities and the learner profiles were analysed, and a survey was administered to learners at the completion of the project. The results are discussed in terms of learner usage patterns and learner perspectives regarding each platform.

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“…Based on the definition, ITSs try to satisfy all needs of an individual learner, especially with personalization and individualized instruction. However, cost of ITS development is relatively high [2]. According to [3], development of one hour of instruction in KAFITS (an ITS) requires 100 hours of human work and as estimated by Woolf and Cunningham [4] this becomes to the ratio of 200:1 in average in ITS development, thus methods and framework for rapid development of ITSs are significantly helpful to increase utilizations of these systems in the world.…”

Section: Introductionmentioning

confidence: 99%

A Fuzzy Expert System Architecture for Intelligent Tutoring Systems: A Cognitive Mapping Approach

Zarandi¹,

Khademian²,

Minaei‐Bidgoli³

et al. 2012

JILSA

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An Intelligent Tutoring System (ITS) is a computer based instruction tool that attempts to provide individualized instructions based on learner's educational status. Advances in development of these systems have rose and fell since their emergence. Perhaps the main reason for this is the absence of appropriate framework for ITS development. This paper proposes a framework for designing two main parts of ITSs. Besides development framework, the second main reason for lack of significant advances in ITS development is its development cost. In general, this cost for instructional material is quite high and it becomes more in ITS development. The proposed method can significantly reduce the development cost. The cost reduction mainly is because of characteristics of applied mapping techniques. These maps are human readable and easily understandable by people who are not aware of knowledge representation techniques. The proposed framework is implemented for a graduate course at a technical university in Asia. This experiment provides an individualized instruction which is the main designing purpose of the ITSs.

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Analysis and design of a Web-based authoring tool generating intelligent tutoring systems

Cited by 30 publications

References 12 publications

A Review of Mobile Language Learning Applications: Trends, Challenges, and Opportunities

A Review of Mobile Language Learning Applications: Trends, Challenges, and Opportunities

Vocabulary on the move: Investigating an intelligent mobile phone-based vocabulary tutor

A Fuzzy Expert System Architecture for Intelligent Tutoring Systems: A Cognitive Mapping Approach

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