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