Predicting Instructors Performance in Higher Education Systems
Journal Title: EAI Endorsed Transactions on Energy Web - Year 2018, Vol 5, Issue 18
Abstract
In recent years, knowledge mining has become one of the effective tools for data analysis and information management systems. Educational sector is the recent research endeavors that make use of data mining algorithms. Prior works carried in data mining algorithms like J48 Decision Tree, Multilayer Perception, Naïve Bayes, and Sequential Minimal Optimization impose issues like the curse of dimensionality, cardinality and imbalance attributes. In this paper, we have proposed FA-Paired t-test method which is a novel knowledge discovery process to predict the performance of the instructors. The aim of the study is to find the factors that associated for the prediction of teaching quality. Thus, the contribution of the factor analysis method helps to find the relevant attributes from a set of attributes. Then, the selected attributes are fed as input to paired t-test model which find the associations between those linked attributes. The selected attributes are experimenting using SPSS modeler. Many attributes test for the performance evaluation. It is strongly found that content arrangement, delivery of speech, effective class hours and completion of the course helps to predict the quality of the teaching. In addition to, the proposed model is compared to prior two classifiers, named, J48DT and Naïve Bayes which shows our proposed method works better than other two classifiers in term of Attribute reduction and evaluation process.
Authors and Affiliations
Dr. K. Kalaiselvi, J. Sowmiya
Keywords
Related Articles
- EP ID EP45361
- DOI http://dx.doi.org/10.4108/eai.12-6-2018.154811
- Views 241
- Downloads 0
Sensor-Based Activity Recognition with Dynamically Added Context
An activity recognition system essentially processes raw sensor data and maps them into latent activity classes. Most of the previous systems are built with supervised learning techniques and pre-defined data sources, an...
Web interactive non intrusive load disaggregation system for active demand in smart grids
A Smart Grid combines the use of traditional technology with innovative digital solutions, making the management of the electricity grid more flexible. It allows for monitoring, analysis, control and communication within...
Analysis of Noise with Curve Fitting Method of a PV cell
Solar photovoltaic technology is a major contender in the race for renewable, sustainable and green energy. This paper introduces the characteristics of different PV cell equivalent circuit and its output behaviour. It d...
Estimation Of Electrical Equipment Service
This article examines the possibility of determining the indicators for the qual-ification of personnel servicing electrical installations based on statistical data based on the frequency and duration of the work carried...
Energy-efficient Joint Power Allocation and Channel Selection for D2D Communications
Device-to-device (D2D) communications have gained great attentions due to the potential and numerous benefits for cellular networks. However,it also brings tremendous resource allocation challenges for the sake of the co...