scholarly journals Combining Distance and Traditional Learning: A Study of the Use of Virtual Learning Environment Objects and Massive Online Open Courses in Statistics Class

2017 ◽  
Vol 7 (1) ◽  
pp. 1-5 ◽  
Author(s):  
Silvio Carvalho Neto ◽  
Keyword(s):  
Learning Environment ◽  
Virtual Learning ◽  
Virtual Learning Environment ◽  
Traditional Learning ◽  
Massive Online Open Courses ◽  
Open Courses

scholarly journals Traditional versus virtual learning: How engaged are the students in learning English literature?

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Siti Hajar Halili ◽  
Nurul Hanani Abdul Rahman ◽  
Rafiza Abdul Razak
Keyword(s):  
Learning Environment ◽  
School Engagement ◽  
Teaching And Learning ◽  
English Literature ◽  
Descriptive Analysis ◽  
Virtual Learning ◽  
Virtual Learning Environment ◽  
Traditional Learning ◽  
Four Dimensions ◽  
Learning English

This study is aimed to investigate students’ levels of engagement in learning English literature for traditional learning and virtual learning environment. There are four dimensions of engagement that were studied, which are the cognitive, behavioural, emotional and agentic engagement. A self-determination theory perspective on student engagement by Reeve (2012) was used for the foundation of this study. A questionnaire of School Engagement Measure was used to collect data from 80 respondents. The data were analysed using descriptive analysis utilizing the SPSS software. The results of this study show that the engagement level of the virtual learning environment is higher than the engagement level of the traditional learning. Based on the results, further research is recommended to focus on the effectiveness of virtual learning environment in the classroom for the teaching and learning process.

scholarly journals Tinjauan Motivasi, Sikap dan Peningkatan Prestasi Murid Sekolah Rendah Melalui Penggunaan Halaman Celik Akal (VLE)

2018 ◽  
Vol 10 (3-2) ◽  
Author(s):  
Muhammad Sabiq Mohd Noor ◽  
Megat Aman Zahiri Megat Zakaria
Keyword(s):  
Learning Environment ◽  
Teaching And Learning ◽  
Positive Impact ◽  
Virtual Learning ◽  
Virtual Learning Environment ◽  
Traditional Learning ◽  
Use Of Technology ◽  
Before And After ◽  
And Performance ◽  
High Level

The implementation of teaching and learning through the use of technology helped in interactive and interesting delivery of knowledge. The transformation from traditional learning now students learn through Virtual Learning Environment (VLE) can attract interest apart from a wide material access by the students. The implementation of learning through Halaman Celik Akal gives positive impact towards students’ motivation, attitude and performance especially in Malay language subject. This purpose of this research is to review students’ motivation and attitude and also investigate the relationshiop between both constructs. This research focused on students’ performance after using this page in teaching and learning. This research involved 31 students of Standard 5 in Primary School. There are four questions being analysed in this research. The finding of this research shows that students’ motivation and attitude are at a high level after learning through this page. From the performance aspect shows that there are differences between students’ score before and after using this page (t= -8.162, df=30, p = 0.00). However, the findings of this research shows that there no relationship between students’ motivation and attitude (R= -0.059, P = 0.752) through this learning. Therefore, this research shows that the implementation of Virtual Learning Environment (VLE) through virtual page has a lot of benefits to the students especially in the aspect of students’ motivation, attitude and performance in learning Malay language.

scholarly journals The Impact of Using zSpace System as a Virtual Learning Environment in Saudi Arabia: A Case Study

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Afnan Aljumaiah ◽  
Yasser Kotb
Keyword(s):  
Saudi Arabia ◽  
Learning Environment ◽  
Learning Process ◽  
Educational Achievement ◽  
Virtual Learning ◽  
Virtual Learning Environment ◽  
Traditional Learning ◽  
Learning Methods ◽  
The Impact

The use of virtual reality (VR) has increased in many different areas, especially in the learning process. One of the most important VR tools is zSpace platform, which can be used as a virtual learning environment. This paper aims to increase the awareness of applying VR technology in Saudi Arabia through using zSpace as a virtual learning environment in all Saudi schools rather than using traditional learning methods. As a case study, we chose Al-Hamra School in Jeddah. By analyzing tests and questionnaires with students and teachers, we examined the effect of using zSpace on students’ grades, educational achievement, and learning skills. We have demonstrated that using zSpace instead of traditional learning methods in the learning process had better effect students, which is considered to be a largely positive effect in the learning environment.

Proposal of an instrument to evaluate interaction spaces in a VLE

2019 ◽  
pp. 1-13
Author(s):  
Rubí Estela Morales-Salas ◽  
Daniel Montes-Ponce
Keyword(s):  
Learning Environment ◽  
Design Space ◽  
Collaborative Work ◽  
Virtual Learning ◽  
Interaction Space ◽  
Learning Objects ◽  
Traditional Education ◽  
Virtual Learning Environment ◽  
Discussion Forums ◽  
Exhibition Space

A virtual learning environment is conceived as an interaction space that ease the realization of mediated activities by technology, in this case the internet; besides using multimedia materials, learning objects, social networks, among others; which have changed imminently the traditional education. In this article an instrument is proposed in a checklist format, to evaluate any platform that has interaction spaces such as a Virtual Learning Environment, in this case responding to four spaces or general indicators: information Space, Mediation / Interaction Space, Instructional Design Space and Exhibition Space. Criteria are used according to the interactions and activities carried out by the consultant and virtual student. These, in turn, come up from the analysis and interaction of the advisers achieved in the discussion forums and portfolio activities through collaborative work. It was situated as a qualitative research, with a descriptive nature since it is not limited to data collection only, but also it refers and analyzes the interaction of the advisers achieved in the discussion forums and portfolio activities through the collaborative work of the workshop course "Virtual Learning Environments" developed in a virtual learning environment.

scholarly journals Self-Regulation using Moodle Virtual Learning Environment (VLE) in Solar System Practice

2021 ◽  
Vol 1779 (1) ◽  
pp. 012072
Author(s):  
BR Rosyadi ◽  
Khoirun Nisa ◽  
Irfan Afandi ◽  
Fathor Rozi ◽  
Ahmad Fawaid ◽  
...  
Keyword(s):  
Solar System ◽  
Learning Environment ◽  
Self Regulation ◽  
Virtual Learning ◽  
Virtual Learning Environment

scholarly journals Using Virtual Learning Environment Data for the Development of Institutional Educational Policies

2021 ◽  
Vol 11 (15) ◽  
pp. 6811
Author(s):  
Emanuel Marques Queiroga ◽  
Carolina Rodríguez Enríquez ◽  
Cristian Cechinel ◽  
Alén Perez Casas ◽  
Virgínia Rodés Paragarino ◽  
...  
Keyword(s):  
Learning Environment ◽  
Predictive Models ◽  
Data Science ◽  
Educational Data Mining ◽  
Virtual Learning ◽  
Academic Community ◽  
Virtual Learning Environment ◽  
Educational Policies ◽  
Interdisciplinary Exchange ◽  
Computational Resources

This paper describes the application of Data Science and Educational Data Mining techniques to data from 4529 students, seeking to identify behavior patterns and generate early predictive models at the Universidad de la República del Uruguay. The paper describes the use of data from different sources (a Virtual Learning Environment, survey, and academic system) to generate predictive models and discover the most impactful variables linked to student success. The combination of different data sources demonstrated a high predictive power, achieving prediction rates with outstanding discrimination at the fourth week of a course. The analysis showed that students with more interactions inside the Virtual Learning Environment tended to have more success in their disciplines. The results also revealed some relevant attributes that influenced the students’ success, such as the number of subjects the student was enrolled in, the students’ mother’s education, and the students’ neighborhood. From the results emerged some institutional policies, such as the allocation of computational resources for the Virtual Learning Environment infrastructure and its widespread use, the development of tools for following the trajectory of students, and the detection of students at-risk of failure. The construction of an interdisciplinary exchange bridge between sociology, education, and data science is also a significant contribution to the academic community that may help in constructing university educational policies.

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