Expert tutoring system for teaching computer programming languages

El-Khouly, Mahmoud M.

doi:10.1016/s0957-4174(99)00047-0

Cited by 21 publications

(11 citation statements)

References 4 publications

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“…E-TCL (an Expert tutoring system for teaching computer programming languages) can support teachers so as to cooperate computer programming language courses together and use agent approach in the project (El-Khouly, Far, and Koono, 2000). Sykes and Franek (2003) presented "JavaTM Intelligent Tutoring System" (JITS) which was designed for students in their first programming course in JavaTM at the College and University level.…”

Section: Related Workmentioning

confidence: 99%

Developing an Adaptive Web-based Intelligent Tutoring System Using Mastery Learning Technique

Kularbphettong

Kedsiribut

Roonrakwit

2015

Procedia - Social and Behavioral Sciences

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In this paper, we present an Adaptive Web-Based Intelligent Tutoring System using Mastery Learning Technique. According to the level of student knowledge, this system was adapted rule-based techniques and student profiling to generate lessons and tests for them and the system was automatically adjusted suitably adaptive lessons and tests for student when he/she can pass a specified test. This prototype was designed for enhancement JAVA Programming Language Courses in Suan Sunandha Rajabhat University, Thailand for freshman student. The experimental results showed that rule-based and student profiling approaches can help student learning and reduce time consuming study. To evaluate the preliminary prototype system, questionnaires were used to measure user satisfaction with system usability by teacher and student. The results were satisfactory as followed: Means for teacher and students were 4.15 and 4.23, and standard deviation for specialists and users were 0.645 and 0.714 respectively.

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Section: Related Workmentioning

confidence: 99%

Developing an Adaptive Web-based Intelligent Tutoring System Using Mastery Learning Technique

Kularbphettong

Kedsiribut

Roonrakwit

2015

Procedia - Social and Behavioral Sciences

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“…Sum of scores is calculated and learner level is determined after answering the questions. Table 2 presents five categories of learner's knowledge level about a concept [20,21]: This system updates the learner's model during progress of question answering. This system can also save last academic status of learner and all his learning records.…”

Section: Fig 3 Block Diagram Of Proposed Systemmentioning

confidence: 99%

A Web-Based Adaptive and Intelligent Tutor by Expert Systems

Ghadirli

Rastgarpour

2013

Advances in Computing and Information Technology

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Todays, Intelligent and web-based E-learning is one of regarded topics. So researchers are trying to optimize and expand its application in the field of education. The aim of this paper is developing of E-learning software which is customizable, dynamic, intelligent and adaptive with Pedagogy view for learners in intelligent schools. This system is an integration of adaptive web-based Elearning with expert systems as well. Learning process in this system is as follows. First intelligent tutor determines learning style and characteristics of learner by a questionnaire and then makes his model. After that the expert system simulator plans a pre-test and then calculates his score. If the learner gets the required score, the concept will be trained. Finally the learner will be evaluated by a post-test. The proposed system can improves the education efficiency highly as well as decreases the costs and problems of an expert tutor. As a result, every time and everywhere (ETEW) learning would be provided via web in this system. Moreover the learners can enjoy a cheap remote learning even at home in a virtual simulated physical class. So they can learn thousands courses very simple and fast.

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“…This is accomplished by using Artificial Intelligence (AI) methods to represent the pedagogical decisions and the information regarding each student (Angelides & Garcia, 1993;El-Khouly, Far, & Koono, 2000;Georgouli, 2002;Vassileva, 1997). The emergence of the World Wide Web increased the usefulness of such systems (Brusilovsky, Schwarz, & Weber, 1996;Hwang, 1998;Moundridou & Virvou, 2003;Stern & Woolf, 1998).…”

Section: Introductionmentioning

confidence: 99%