Application for Identifying Students Achievement Prediction Model in Tertiary Education: Learning Strategies for Lifelong Learning

Dublin Core

Title

Application for Identifying Students Achievement Prediction Model in Tertiary Education: Learning Strategies for Lifelong Learning

Subject

Learning Analytics
Dropping Out
Educational Data mining
Eruptive Technology
Disruptive Technology

Description

The purpose of the research is to identify the risk of dropping out in tertiary students with an application. The components of the research goal aim (1) to develop the students’ achievement prediction model and (2) to construct a prototype application for the predictions of the tertiary students dropping out. The research tools consisted of three parts, (1) tool for developing predictive prototypes uses a tool called the CRISP-DM process with Decision Tree Classification, Feature Selection methods, Confusion Matrix performance, Cross-Validation methods, Accuracy, Precision and Recall measurements, (2) tool for application development used the SDLC with V-method, and (3) tool to assess application satisfaction used questionnaires and statistical analysis. Data sample were collected from 401 students enrolled in the Business Computer Program at the School of Information and Communication Technology, University of Phayao during the academic year 2012-2016. The results showed that the prediction model had a very high percentage of accuracy (82.29%). The prototype test results with the data gathered had a very high score level (84.04%; correct 337 out of 401 training examples). An overview of the underlying application with the utmost integrity by the researchers planned to put the application to the test in the first semester of the academic year 2021 at the School of Information Technology and Communication, University of Phayao. For future research, the researchers plan to create a mobile application for mentors in the University of Phayao to monitor learner on both Android and iOS systems.

Creator

Nuankaew, Pratya
Nasa-ngium, Patchara
Nuankaew, Wongpanya Sararat

Source

International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 22 (2021); pp. 22-43
1865-7923

Publisher

International Association of Online Engineering (IAOE), Vienna, Austria

Date

2021-11-19

Rights

Copyright (c) 2021 Pratya Nuankaew

Relation

Format

application/pdf

Language

eng

Type

info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Peer-reviewed Article

Identifier

Citation

Pratya Nuankaew, Nasa-ngium, Patchara and Wongpanya Nuankaew Sararat, Application for Identifying Students Achievement Prediction Model in Tertiary Education: Learning Strategies for Lifelong Learning, International Association of Online Engineering (IAOE), Vienna, Austria, 2021, accessed November 5, 2024, https://igi.indrastra.com/items/show/2063

Social Bookmarking