A Web-Based Adaptive and Intelligent Tutor by Expert Systems

Ghadirli, Hossein Movafegh; Rastgarpour, Maryam

doi:10.1007/978-3-642-31552-7_10

Cited by 22 publications

(21 citation statements)

References 12 publications

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“…Reference source not found.4. Reader can find more details in [2]. Believing that the experiences create learning.…”

Section: Jackson's Learning Styles Profilermentioning

confidence: 99%

“…It means that some learners need to repeat some lessons mean while some lessons must be removed for others. Later the researchers concluded that learning process must be dynamic and intelligent based on pedagogy view [2]. But developing an applicable and trustful system is so hard [2].…”

Section: Introductionmentioning

confidence: 99%

“…Later the researchers concluded that learning process must be dynamic and intelligent based on pedagogy view [2]. But developing an applicable and trustful system is so hard [2]. This caused to advent new generation of intelligent educational systems [3].…”

Section: Introductionmentioning

confidence: 99%

“…Web-based learning and intelligent learning is so regarded in education todays [2,4]. A web-based tutor has some benefits like tirelessly, dominance on concepts, low cost and independent of time and place.…”

Section: Introductionmentioning

confidence: 99%

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A Web-Based Multilingual Intelligent Tutor System Based on Jackson's Learning Styles Profiler and Expert Systems

Ghadirli¹,

Rastgarpour²

2013

IAENG Transactions on Electrical Engineering Volume 1

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Nowadays, Intelligent Tutoring Systems (ITSs) are so regarded in order to improve education quality via new technologies in this area. One of the problems is that the language of ITSs is different from the learner's. It forces the learners to learn the system language. This paper tries to remove this necessity by using an Automatic Translator Component in system structure like Google Translate API. This system carry out a pretest and post-test by using Expert System and Jackson Model before and after of training a concept. It constantly updates learner model to save all changes in learning process. So this paper offers an E-Learning system which is web-based, intelligent, adaptive, multilingual and remotely accessible where tutors and learners can have non-identical language. It is also applicable Every Time and Every Where (ETEW). Furthermore, it trains the concepts in the best method with any language and low cost.

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“…Reference source not found.4. Reader can find more details in [2]. Believing that the experiences create learning.…”

Section: Jackson's Learning Styles Profilermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Web-Based Multilingual Intelligent Tutor System Based on Jackson's Learning Styles Profiler and Expert Systems

Ghadirli¹,

Rastgarpour²

2013

IAENG Transactions on Electrical Engineering Volume 1

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show abstract

“…Diversity of learners leads to decrease the efficiency of this style. In fact, some lessons must be repeated several times for a number of learners while the same courses may be removed for others [2].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive and Intelligent Tutor by Expert Systems for Mobile Devices

Ghadirli¹,

Rastgarpour²

2012

IJMPIT

Self Cite

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Mobile Learning (M-Learning) is an emerging discipline in the area of education and educational technology. So researchers are trying to optimize and expanding its application in the field of education. The aim of this paper is to investigate the role of mobile devices and expert systems in disseminating and supporting the knowledge gained by intelligent tutors and to propose a system based on integration of intelligent M-Learning with expert systems. It acts as an intelligent tutor which can perform three processes -pre-test, learning concept and post-test -according to characteristic of the learner. The proposed system can improves the education efficiency highly as well as decreases costs. As a result, every time and everywhere (ETEW) simple and cheap learning would be provided via SMS, MMS and so on in this system. The global intention of M-Learning is to make learning "a way of being".

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Optimization of self‐learning in Computer Engineering courses: An intelligent software system supported by Artificial Neural Network and Vortex Optimization Algorithm

Köse

Arslan

2017

Comp Applic In Engineering

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Self-learning process is an important factor that enables learners to improve their own educational experiences when they are away of face-to-face interactions with the teacher. A well-designed selflearning activity process supports both learners and teachers to achieve educational objectives rapidly. Because of this, there has always been a remarkable trend on developing alternative self-learning approaches. In this context, this study is based on two essential objectives. Firstly, it aims to introduce an intelligent software system, which optimizes and improves computer engineering students' self-learning processes. Secondly, it aims to improve computer engineering students' self-learning during the courses. As general, the software system introduced here evaluates students' intelligence levels according to the Theory of Multiple Intelligences and supports their learning via accurately chosen materials provided over the software interface. The evaluation mechanism of the system is based on a hybrid Artificial Intelligence approach formed by an Artificial Neural Network, and an optimization algorithm called as Vortex Optimization Algorithm (VOA). The system is usable for especially technical courses taught at computer engineering departments of universities and makes it easier to teach abstract subjects. For having idea about success of the system, it has been tested with students and positive results on optimizing and improving self-learning have been obtained. Additionally, also a technical evaluation has been done previously, in order to see if the VOA is a good choice to be used in the system. It can be said that the whole obtained results encourage the authors to continue to future works. ß 2017 Wiley Periodicals, Inc. Comput Appl Eng Educ 25:142-156, 2017; View this article online at wileyonlinelibrary.com/journal/cae;

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A Web-Based Adaptive and Intelligent Tutor by Expert Systems

Cited by 22 publications

References 12 publications

A Web-Based Multilingual Intelligent Tutor System Based on Jackson's Learning Styles Profiler and Expert Systems

A Web-Based Multilingual Intelligent Tutor System Based on Jackson's Learning Styles Profiler and Expert Systems

An Adaptive and Intelligent Tutor by Expert Systems for Mobile Devices

Optimization of self‐learning in Computer Engineering courses: An intelligent software system supported by Artificial Neural Network and Vortex Optimization Algorithm

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