scholarly journals Learner Analytics in Engineering Education: A Detailed Account of Practices Used in the Cleaning and Manipulation of Learning Management System Data from Online Undergraduate Engineering Courses

2020 ◽  
Author(s):  
Javeed Kittur ◽  
Jennifer Bekki ◽  
Samantha Brunhaver
Keyword(s):  
Engineering Education ◽  
Management System ◽  
Learning Management System ◽  
Detailed Account ◽  
Undergraduate Engineering ◽  
System Data ◽  
Learning Management

Data Mining and Explorative Multivariate Data Analysis for Customer Satisfaction Study

2011 ◽  
pp. 243-266 ◽  
Author(s):  
Rosaria Lombardo
Keyword(s):  
Data Mining ◽  
Data Analysis ◽  
Customer Satisfaction ◽  
Management System ◽  
Multivariate Data Analysis ◽  
Learning Management System ◽  
Multivariate Data ◽  
Data Sets ◽  
System Data ◽  
Learning Management

By the early 1990s, the term “data mining” had come to mean the process of finding information in large data sets. In the framework of the Total Quality Management, earlier studies have suggested that enterprises could harness the predictive power of Learning Management System (LMS) data to develop reporting tools that identify at-risk customers/consumers and allow for more timely interventions (Macfadyen & Dawson, 2009). The Learning Management System data and the subsequent Customer Interaction System data can help to provide “early warning system data” for risk detection in enterprises. This chapter confirms and extends this proposition by providing data from an international research project investigating on customer satisfaction in services to persons of public utility, like education, training services and health care services, by means of explorative multivariate data analysis tools as Ordered Multiple Correspondence Analysis, Boosting regression, Partial Least Squares regression and its generalizations.

scholarly journals Analysis of Online Learning Implementation and Learning Independence Based on Learning Management System in Electrical Engineering Education Students of Nusa Cendana University

2021 ◽  
Vol 8 (12) ◽  
pp. 533
Author(s):  
Yetursance Y. Manafe ◽  
Louis F. Beosday ◽  
Maria M. E. Bere
Keyword(s):  
Online Learning ◽  
Engineering Education ◽  
Management System ◽  
Learning Management System ◽  
Electrical Engineering ◽  
Education Students ◽  
Study Program ◽  
Learning Success ◽  
Electrical Engineering Education ◽  
Learning Management

The dynamics of the application of learning from time to time always changes according to the times and also certain situations. In early 2019, offline learning must adapt to online learning conditions due to the covid-19 pandemic that has hit the whole world. Online learning is carried out using various platforms, one of which is the Learning Management System (LMS). The aim of this study are: to analyze the implementation of online learning and LMS-based independent learning in Electrical Engineering Education students at Nusa Cendana University. The method used is descriptive qualitative using data collected on google form as many as 24 questions. The research subjects were 267 students in the Electrical Engineering Education Study Program. The results obtained by the lecturers are the key in fostering independence and learning success using LMS based on 6 indicators that provide the largest contribution, namely: (1). High authority, discipline, responsibility and commitment by 77.90%, (2). Good communication is 77.53%, (3) Supporting the Graduate Profile and CPL (Graduate Learning Outcomes) of Study Program is 76.03%. (4) Availability of RPS (Semester Learning Plan) of 75.66% (5) The suitability of RPS with study program curriculum is 74.53 (6). The learning method that encourages students to learn actively (independently) is 71.91%. The conclusion of this study, the role of lecturers is the key in growing independence and learning success using LMS.

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