ERA

Download the full-sized PDF of Intelligent Functional Dependency Tutoring ToolDownload the full-sized PDF

Analytics

Share

Permanent link (DOI): https://doi.org/10.7939/R31G0HX28

Download

Export to: EndNote  |  Zotero  |  Mendeley

Communities

This file is in the following communities:

Computing Science, Department of

Collections

This file is in the following collections:

Technical Reports (Computing Science)

Intelligent Functional Dependency Tutoring Tool Open Access

Descriptions

Author or creator
Enright, Jessica
Chu, Ben
Zaiane, Osmar
Additional contributors
Subject/Keyword
Intelligent Tutoring System
Functional dependencies
Type of item
Computing Science Technical Report
Computing science technical report ID
TR08-12
Language
English
Place
Time
Description
Technical report TR08-12. Computer tools for education, particularly those that allow a learner to work through many examples of a problematic type of exercise, can be helpful to that learner's understanding. Functional dependencies and their use in finding candidate keys are an area with which learners often have difficulty in undergraduate database courses. In addition to helping the students, a learning tool could help the instructor if it collected information about learner attempts of the exercises. This project makes an effort to develop such a tool, helpful to both learners and educators.
Date created
2008
DOI
doi:10.7939/R31G0HX28
License information
Creative Commons Attribution 3.0 Unported
Rights

Citation for previous publication

Source
Link to related item

File Details

Date Uploaded
Date Modified
2014-04-29T21:16:55.089+00:00
Audit Status
Audits have not yet been run on this file.
Characterization
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 467151
Last modified: 2015:10:12 17:32:55-06:00
Filename: TR08-12.pdf
Original checksum: 6eddeb0fffaf0da546edabbf04d458ed
Well formed: true
Valid: true
File title: Microsoft Word - ICCE08FDTutor.doc
File author: Osmar
Page count: 9
Activity of users you follow
User Activity Date