The Accurate Measurement of Students’ Learning in E-Learning Environments

Lee, Sunbok; Choi, Youn-Jeng; Kim, Hyun-Song

doi:10.3390/app11219946

Cited by 4 publications

(3 citation statements)

References 22 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Digitally Taylored online learning platforms hold the key for future expansion of higher education owing to their ability to provide learning opportunities for throes of students (Lee et al, 2021;Narang et al, 2022). MOOCs are a great attempt by Taylorist administrators to improve access, efficiency and quality of education (Mirrlees and Alvi, 2020).…”

Section: Managerial Implicationsmentioning

confidence: 99%

Changing learning paradigms: an interplay of Digital Taylorism and technostress on perceived employability

Duggal¹,

Khatri²,

Thomas³

et al. 2023

JMH

View full text Add to dashboard Cite

Purpose Massive open online courses (MOOCs), a Taylorist attempt to automate instruction, help make course delivery more efficient, economical and better. As an implementation of Digital Taylorism Implementation (DTI), MOOCs enable individuals to obtain an occupation-oriented education, equipping them with knowledge and skills needed to stay employable. However, learning through online platforms can induce tremendous amounts of technology-related stress in learners such as complexity of platforms and fears of redundancy. Thus, the aim of this paper is to study how student perceptions of DTI and technostress (TS) influence their perceived employability (PE). The role of TS as a mediator between DTI and PE has also been studied. Design/methodology/approach Stratified sampling technique has been used to obtain data from 305 students from 6 universities. The effect of DTI and TS on PE, and the role of TS as a mediator, has been examined using the partial least squares (PLS) structural equation modelling approach with SMART PLS 4.0. software. Predictive relevance of the model has been studied using PLSPredict. Findings Results indicate that TS completely mediates the relationship between DTI and PE. The model has medium predictive relevance. Practical implications Learning outcomes from Digitally Taylored programs can be improved with certain reforms that bring the human touch to online learning. Originality/value This study extends Taylorism literature by linking DTI to PE of students via technostress as a mediator.

show abstract

Section: Managerial Implicationsmentioning

confidence: 99%

Changing learning paradigms: an interplay of Digital Taylorism and technostress on perceived employability

Duggal¹,

Khatri²,

Thomas³

et al. 2023

JMH

View full text Add to dashboard Cite

show abstract

“…The result is an algorithm capable of predicting, with some degree of accuracy, precision, or other performance measure, which students are at risk of dropping out, thus allowing intervention that, ideally, may reduce the evasion rate. Therefore, it is crucial to accurately measure students' learning to achieve that goal [11].…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Predicting Students at Risk of Dropout in Technical Course Using LMS Logs

2022

View full text Add to dashboard Cite

Educational data mining is a process that aims at discovering patterns that provide insight into teaching and learning processes. This work uses Machine Learning techniques to create a student performance prediction model, using academic data and records from a Learning Management System, that correlates with success or failure in completing the course. Six algorithms were employed, with models trained at three different stages of their two-year course completion. We tested the models with records of 394 students from 3 courses. Random Forest provided the best results with 84.47% on the F1 score in our experiments, followed by Decision Tree obtaining similar results in the first subjects. We also employ clustering techniques and find different behavior groups with a strong correlation to performance. This work contributes to predicting students at risk of dropping out, offers insight into understanding student behavior, and provides a support mechanism for academic managers to take corrective and preventive actions on this problem.

show abstract

“…Recently some works have been published about this topic [32][33][34][35]. There is not a general agreement among faculty about which method of online examination is the most suitable to evaluate students' assessment [17,[36][37][38]. In Boitshwarelo et al [36] the use of online tests in assessing twenty-first century learning is studied.…”

Section: Introductionmentioning

confidence: 99%

FastTest Plugin: a New Plugin to Generate Moodle Quiz XML Files

Huerta¹,

Fernández-Ruiz²

2022

Preprint

View full text Add to dashboard Cite

The use of Learning Management Systems (LMS) has had a rapid growth over the last decades. Great efforts have been recently made to assess the level of performance of the students online due to the COVID-19 pandemic. Faculty members with limited experience in the use of LMS such as Moodle, Edmodo, MOOC, Blackboard and Google Classroom can have some problems creat-ing online tests. In this work, a new plugin for Moodle is presented: FastTest PlugIn. This plugin is based on a Microsoft® Excel spreadsheet and it can be used to export questions to Moodle. Us-ers of FastTest PlugIn can create question pools in an easy and intuitive way. A literature review about plugins used to import/export questions in Moodle is carried out. Then, the characteristics of FastTest PlugIn are presented. At the end, the characteristics of the main plugins found in the literature are discussed and compared with the ones of FastTest PlugIn.

show abstract

The Accurate Measurement of Students’ Learning in E-Learning Environments

Cited by 4 publications

References 22 publications

Changing learning paradigms: an interplay of Digital Taylorism and technostress on perceived employability

Changing learning paradigms: an interplay of Digital Taylorism and technostress on perceived employability

Predicting Students at Risk of Dropout in Technical Course Using LMS Logs

FastTest Plugin: a New Plugin to Generate Moodle Quiz XML Files

Contact Info

Product

Resources

About