scholarly journals Problem identification and intervention in the higher education data synchronization system in Indonesia

2022 ◽  
Vol 197 ◽  
pp. 484-494
Author(s):  
Radityo Prasetianto Wibowo ◽  
Ika Nurkasanah ◽  
Rully Agus Hendrawan ◽  
Umi Laili Yuhana ◽  
Arif Wibisono ◽  
...  
Keyword(s):  
Higher Education ◽  
Data Synchronization ◽  
Problem Identification ◽  
Synchronization System ◽  
Education Data

Developing a measure of innovation from research in higher education data

2021 ◽  
Author(s):  
Marlo M. Vernon ◽  
C. Makenzie Danley ◽  
Frances M. Yang
Keyword(s):  
Higher Education ◽  
Education Data

Higher Education's Institutions Response to Statutory TQM Case Study

2020 ◽  
pp. 303-326
Author(s):  
Takaruza Munyanyiwa ◽  
Shepherd Nyaruwata
Keyword(s):  
Higher Education ◽  
Education Institution ◽  
Quality Education ◽  
Extensive Literature ◽  
Total Quality ◽  
High Quality Education ◽  
Education Data ◽  
Institutions Of Higher Learning ◽  
Education Delivery ◽  
Document Review

Quality is at the top of most agendas and improving quality is the most important task facing any higher education institution. High-quality education has become a key ingredient for socio-economic development. Many governments are putting more importance on the delivery of a quality education at institutions of higher learning. Enactment of pro higher education TQM legislation is now at the center of education delivery systems. In a highly competitive education sector, the success of academic institutions depends on the quality of education. This chapter presents a review of the responses of Higher Education Institutions in Zimbabwe to the introduction of statutory total quality management in education. Data and information for this study are collected through extensive literature and document review, interviewing experts, and personal experience. The feedback and insights and reviews are supported by TQM theory.

Knowledge Discovery for Large Databases in Education Institutes

2017 ◽  
pp. 27-110
Author(s):  
Robab Saadatdoost ◽  
Alex Tze Hiang Sim ◽  
Hosein Jafarkarimi ◽  
Jee Mei Hee
Keyword(s):  
Higher Education ◽  
Data Mining ◽  
Decision Making ◽  
Knowledge Discovery ◽  
Learning Style ◽  
Science Research ◽  
Data Set ◽  
Use Of Data ◽  
Education Data ◽  
Decision Making System

This project presents the patterns and relations between attributes of Iran Higher Education data gained from the use of data mining techniques to discover knowledge and use them in decision making system of IHE. Large dataset of IHE is difficult to analysis and display, since they are significant for decision making in IHE. This study utilized the famous data mining software, Weka and SOM to mine and visualize IHE data. In order to discover worthwhile patterns, we used clustering techniques and visualized the results. The selected dataset includes data of five medical university of Tehran as a small data set and Ministry of Science - Research and Technology's universities as a larger data set. Knowledge discovery and visualization are necessary for analyzing of these datasets. Our analysis reveals some knowledge in higher education aspect related to program of study, degree in each program, learning style, study mode and other IHE attributes. This study helps to IHE to discover knowledge in a visualize way; our results can be focused more by experts in higher education field to assess and evaluate more.

Sign in / Sign up

Export Citation Format

Share Document