Knowledge-based systems to enhance learning: A case study on formal languages and automata theory

被引:3
作者
Castro-Schez, J. J. [1 ]
Gallardo, J. [2 ]
Miguel, R. [3 ]
Vallejo, D. [1 ]
机构
[1] Univ Castilla La Mancha, Dept Technol & Informat Syst, Escuela Super Informat, Paseo Univ,4, E-13071 Ciudad Real, Spain
[2] Univ Zaragoza, Dept Comp Sci & Syst Engn, Escuela Univ Politecn, Ciudad Escolar,S-N, Teruel 44003, Spain
[3] Univ Castilla La Mancha, Artificial Intelligence & Rendering Res Grp, Escuela Super Informat, Paseo Univ,4, E-13071 Ciudad Real, Spain
关键词
Online teaching; Educational software; Formal languages and automata theory; Tutoring systems; SOFTWARE; EXAMPLES;
D O I
10.1016/j.knosys.2017.02.007
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The Internet expansion is not only impacting on our social behavior, but also on the way we learn and teach. Thus, more and more online teaching approaches are becoming common and usual. This work focuses on the field of formal languages and automata theory, describing the process of building an online teaching tool able to help students learn by themselves the fundamentals of this subject. Tools like that are useful to reinforce the knowledge acquired by the students during face-to-face lectures. To reach this goal, the suggested system takes the advantage of knowledge-based systems, and incorporates concepts of declarative, procedural, and conditional knowledge of the subject. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:180 / 198
页数:19
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