Post on 23-Feb-2016
description
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
Authors: V. Jacobo, A. Ortiz, R. Schouwenaars, E. Lopez
Databases
Video
Bibliography
Autoevaluation andauto-scheduling
Ordinary on-line course
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
Basic science and mathematics
Engineering sciences
Applied engineering
Formative process of an engineer.
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
Applied engineering ordinary presencial course
• Anyone who imparts these subjects works part time as a professor besides his work in the industry
• Interaction with the professor is extremely relevant.
Approaches to an applied engineering course
Applied engineering “traditional” online course
• Anyone who imparts these subjects works part time as a professor besides his work in the industry
• Lacks of interaction with the professor.
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
Web-based expert system.
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
Failure analysis (first stage)
Preliminary inspection(design, specs, design workloads, etc.)
Firsthypothesis
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
Visual inspection
Firsthypothesis
Workinghypothesis
Failure analysis (second stage)
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
Failure analysis (third stage)
Workinghypothesis
Setting laboratory tests
Hypothesisverification
Thesis
Description ofthe failure
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
Characteristics of failure analysis knowledge
• Process analysis, synthesis and decision making
• Complexity of knowledge
• Numeric and symbolic knowledge
• Lack of information and / or ambiguity of it
• Logical and probabilistic reasoning
• Explanation and justification procedures
• Heuristics
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
Didactic tools of an online course of failure analysis of mechanical elements
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
Alternatives of interaction with the professor-expert
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
The expert reasoning module for failure analysis
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
Rules-based reasoning subsystem
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
Presentation of a solved case in the Rules-based reasoning subsystem
WEB BASED EXPERT SYSTEMS TO REPRESENT THE PROFESSOR'S EXPERIENCE IN ENGINEERING COURSES
ONLINE
• This type of courses seeks to simulate the role of the teacher as a guide,and that strategies are developed leveraging the IT.
• The WBES are an interesting alternative to represent the teacher's expertise
• The idea presented in this paper can be applied to engineering educationin those fields where the teacher's experience in solving problems is fundamental.
Conclusions