Improving web-based problem solving skills of students with a novel game-based Intelligent Tutoring System

2015 ◽  
Author(s):  
Danial Hooshyar ◽  
Rodina Binti Ahmad ◽  
Moslem Yousefi ◽  
Moein Fathi ◽  
Shi-Jinn Horng ◽  
...  
Keyword(s):  
Problem Solving ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Tutoring System ◽  
Web Based ◽  
Problem Solving Skills

Development and Evaluation of a Game-Based Bayesian Intelligent Tutoring System for Teaching Programming

2017 ◽  
Vol 56 (6) ◽  
pp. 775-801 ◽  
Author(s):  
Danial Hooshyar ◽  
Rodina Binti Ahmad ◽  
Minhong Wang ◽  
Moslem Yousefi ◽  
Moein Fathi ◽  
...  
Keyword(s):  
Problem Solving ◽  
Educational Games ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
Computer Assisted ◽  
Online Information ◽  
Tutoring System ◽  
Web Based ◽  
Problem Solving Skills ◽  
Individual Knowledge

Games with educational purposes usually follow a computer-assisted instruction concept that is predefined and rigid, offering no adaptability to each student. To overcome such problem, some ideas from Intelligent Tutoring Systems have been used in educational games such as teaching introductory programming. The objective of this study was to advance Online Game-based Bayesian Intelligent Tutoring System (OGITS) to enhance programming acquisition and online information searching skills, thus improving students’ ability in web-based problem solving through board games. The study sample comprised 79 college students in introductory level Computer Science classes. Qualitative and quantitative data were then gathered. Results of this study revealed generally favorable opinions about OGITS. As OGITS targets individual knowledge acquisition of computer programming and web-based problem-solving skills, it offers a suitable learning environment for students both as a stand-alone course and as a supplement to traditional classroom settings.

Developing an Intelligent Tutoring System that has Automatically Generated Hints and Summarization for Algebra and Geometry

2015 ◽  
Vol 11 (2) ◽  
pp. 14-31 ◽  
Author(s):  
Yatao Li ◽  
Ke Zhao ◽  
Wei Xu
Keyword(s):  
Problem Solving ◽  
Natural Language ◽  
Intelligent Tutoring ◽  
Intelligent Tutoring System ◽  
After School ◽  
Tutoring System ◽  
Learning Gain ◽  
Web Based ◽  
Tutoring Systems ◽  
Natural Language Interface

Intelligent tutoring systems (ITSs), which provide step-by-step guidance to students in problem-solving activities, have been shown to enhance student learning in a range of domains. However, they tend to be preestablished and cannot supply the tutoring function immediately from the diverse mathematical questions. The MITSAS (multiagent intelligent tutoring system after school) is a web-based ITS in algebra and geometry with a natural language interface which is designed to extract the hint and summarization from the detailed solving answer automatically. In this paper, its Design principles and functionality is analysed firstly. Then, the framework including the natural language understanding agent, automatic modelling agent and automatic problem-solving agent are discussed in the following in order to support the real-time problems solution. Next, the methods for automatically extracting tutoring function such as hint and summarization is given based on the difficulty of knowledge components and the type of problem acquired from the detailed answer. Finally, the effectiveness of MITSAS at improving the Chinese Students' learning gain is shown by an experiment conducted in junior school.

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