User Knowledge Modeling

Donated on 6/25/2013

It is the real dataset about the students' knowledge status about the subject of Electrical DC Machines. The dataset had been obtained from Ph.D. Thesis.

Dataset Characteristics

Multivariate

Subject Area

Computer Science

Associated Tasks

Classification, Clustering

Feature Type

Integer

# Instances

403

# Features

-

Dataset Information

Additional Information

-- The users' knowledge class were classified by the authors using intuitive knowledge classifier (a hybrid ML technique of k-NN and meta-heuristic exploring methods), k-nearest neighbor algorithm. See article for more details on how the users' data was collected and evaluated by the user modeling server. H. T. Kahraman, Sagiroglu, S., Colak, I., Developing intuitive knowledge classifier and modeling of users' domain dependent data in web, Knowledge Based Systems, vol. 37, pp. 283-295, 2013.

Has Missing Values?

No

Variables Table

Variable NameRoleTypeDemographicDescriptionUnitsMissing Values
no
no
no
no
no

0 to 5 of 5

Additional Variable Information

STG (The degree of study time for goal object materails), (input value) SCG (The degree of repetition number of user for goal object materails) (input value) STR (The degree of study time of user for related objects with goal object) (input value) LPR (The exam performance of user for related objects with goal object) (input value) PEG (The exam performance of user for goal objects) (input value) UNS (The knowledge level of user) (target value) Very Low: 50 Low:129 Middle: 122 High 130

Reviews

There are no reviews for this dataset yet.

Login to Write a Review
Download
0 citations
9494 views

Creators

Hamdi Kahraman

Ilhami Colak

Seref Sagiroglu

License

By using the UCI Machine Learning Repository, you acknowledge and accept the cookies and privacy practices used by the UCI Machine Learning Repository.

Read Policy