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Pedagogical Software Agents for Personalized E-Learning Using Soft Computing Techniques

Pedagogical Software Agents for Personalized E-Learning Using Soft Computing Techniques

Mukta Goyal, Rajalakshmi Krishnamurthi
Copyright: © 2019 |Pages: 20
ISBN13: 9781522558521|ISBN10: 1522558527|ISBN13 Softcover: 9781522587521|EISBN13: 9781522558538
DOI: 10.4018/978-1-5225-5852-1.ch013
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MLA

Goyal, Mukta, and Rajalakshmi Krishnamurthi. "Pedagogical Software Agents for Personalized E-Learning Using Soft Computing Techniques." Nature-Inspired Algorithms for Big Data Frameworks, edited by Hema Banati, et al., IGI Global, 2019, pp. 319-338. https://doi.org/10.4018/978-1-5225-5852-1.ch013

APA

Goyal, M. & Krishnamurthi, R. (2019). Pedagogical Software Agents for Personalized E-Learning Using Soft Computing Techniques. In H. Banati, S. Mehta, & P. Kaur (Eds.), Nature-Inspired Algorithms for Big Data Frameworks (pp. 319-338). IGI Global. https://doi.org/10.4018/978-1-5225-5852-1.ch013

Chicago

Goyal, Mukta, and Rajalakshmi Krishnamurthi. "Pedagogical Software Agents for Personalized E-Learning Using Soft Computing Techniques." In Nature-Inspired Algorithms for Big Data Frameworks, edited by Hema Banati, Shikha Mehta, and Parmeet Kaur, 319-338. Hershey, PA: IGI Global, 2019. https://doi.org/10.4018/978-1-5225-5852-1.ch013

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Abstract

Due to the emerging e-learning scenario, there is a need for software agents to teach individual users according to their skill. This chapter introduces software agents for intelligent tutors for personalized learning of English. Software agents teach a user English on the aspects of reading, translation, and writing. Software agents help user to learn English through recognition and synthesis of human voice and helps users to improve on handwriting. Its main objective is to understand what aspect of the language users wants to learn. It deals with the intuitive nature of users' learning styles. To enable this feature, intelligent soft computing techniques have been used.

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