ser Knowledge Modeling Data (Students' Knowledge Levels on DC Electrical Machines)
Donated on 6/19/2013
The dataset is about the users' learning activities and knowledge levels on subjects of DC Electrical Machines. The dataset had been obtained from online web-courses and reported in my Ph.D. Thesis.
Dataset Characteristics
Multivariate
Subject Area
Computer Science
Associated Tasks
Classification
Feature Type
Real
# Instances
403
# Features
5
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. Kahraman, H. T., 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. Kahraman, H. T. (2009). Designing and Application of Web-Based Adaptive Intelligent Education System. Gazi University Ph. D. Thesis, Turkey, 1-156.
Has Missing Values?
No
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) Class Distribution: the class value (UNS). Very Low: 50 Low:129 Middle: 122 high 130
Dataset Files
-
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pip install ucimlrepo
from ucimlrepo import fetch_ucirepo # fetch dataset ser_knowledge_modeling_data_students_knowledge_levels_on_dc_electrical_machines = fetch_ucirepo(id=263) # data (as pandas dataframes) X = ser_knowledge_modeling_data_students_knowledge_levels_on_dc_electrical_machines.data.features y = ser_knowledge_modeling_data_students_knowledge_levels_on_dc_electrical_machines.data.targets # metadata print(ser_knowledge_modeling_data_students_knowledge_levels_on_dc_electrical_machines.metadata) # variable information print(ser_knowledge_modeling_data_students_knowledge_levels_on_dc_electrical_machines.variables)
Kahraman, H., Colak, I., & Sagiroglu, S. (2009). ser Knowledge Modeling Data (Students' Knowledge Levels on DC Electrical Machines) [Dataset]. UCI Machine Learning Repository. https://doi.org/10.24432/C5W033.
Creators
Hamdi Kahraman
Ilhami Colak
Seref Sagiroglu
DOI
License
This dataset is licensed under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
This allows for the sharing and adaptation of the datasets for any purpose, provided that the appropriate credit is given.