scholarly journals Individualized teaching programming for a virtual learning environment: development of content concerning nursing records

2013 ◽  
Vol 21 (spe) ◽  
pp. 122-130 ◽  
Author(s):  
Patrícia de Carvalho Nagliate ◽  
Elyrose Sousa Brito Rocha ◽  
Simone de Godoy ◽  
Alessandra Mazzo ◽  
Maria Auxiliadora Trevizan ◽  
...  
Keyword(s):  
Learning Environment ◽  
Virtual Learning ◽  
Virtual Learning Environment ◽  
Behavioral Analysis ◽  
Analysis Method ◽  
Basic Principles ◽  
Teaching Activities ◽  
Individualized Teaching ◽  
Nursing Professionals

OBJECTIVE: Describe the planning of contents on nursing records for use in a virtual learning environment, based on Individualized Teaching Programming, a didactic resource that uses basic principles of behavioral analysis. METHOD: Final objectives were specified, after defining the intermediary components to achieve each final objective, as well as the preliminary requirements for each intermediary component. At the end of this process, teaching activities were planned and organized in steps the students need to develop. RESULTS: By breaking up the contents into behaviors, seven action categories emerged: impartiality, organization, honesty, objectiveness, coherence, readability and discernment. CONCLUSION: the use of Individualized Teaching Programming as a didactic resource to plan contents on nursing records is feasible to identify the units and modules for the development of a course in a virtual learning environment for nursing professionals.

scholarly journals Virtual learning object and environment: a concept analysis

2017 ◽  
Vol 70 (3) ◽  
pp. 572-579 ◽  
Author(s):  
Pétala Tuani Candido de Oliveira Salvador ◽  
Manacés dos Santos Bezerril ◽  
Camila Maria Santos Mariz ◽  
Maria Isabel Domingues Fernandes ◽  
José Carlos Amado Martins ◽  
...  
Keyword(s):  
Learning Environment ◽  
Virtual Learning ◽  
Concept Analysis ◽  
Learning Objects ◽  
Virtual Learning Environment ◽  
Learning Object ◽  
Analysis Method ◽  
Different Types ◽  
Education Personnel ◽  
Mixed Approach

ABSTRACT Objective: To analyze the concept of virtual learning object and environment according to Rodgers' evolutionary perspective. Method: Descriptive study with a mixed approach, based on the stages proposed by Rodgers in his concept analysis method. Data collection occurred in August 2015 with the search of dissertations and theses in the Bank of Theses of the Coordination for the Improvement of Higher Education Personnel. Quantitative data were analyzed based on simple descriptive statistics and the concepts through lexicographic analysis with support of the IRAMUTEQ software. Results: The sample was made up of 161 studies. The concept of "virtual learning environment" was presented in 99 (61.5%) studies, whereas the concept of "virtual learning object" was presented in only 15 (9.3%) studies. Conclusion: A virtual learning environment includes several and different types of virtual learning objects in a common pedagogical context.

scholarly journals Online Learning Space and Wisdom Teaching

2018 ◽  
Vol 176 ◽  
pp. 02026
Author(s):  
Yanxia Wu
Keyword(s):  
Information Technology ◽  
Online Learning ◽  
Learning Environment ◽  
Teaching Methods ◽  
Virtual Learning ◽  
Virtual Learning Environment ◽  
Individual Growth ◽  
Learning Space ◽  
Teaching Activities ◽  
The Individual

Online Learning Space is a virtual learning environment which has evolved with the development of information technology and the continuous deepening of educational concepts. The wisdom teaching is a teaching by using teaching methods and teaching strategies rationally based on the Online Learning Space, to complete the transition from knowledge to wisdom, so that students can become intelligent talents. The wisdom teaching has two goals: to promote the individual growth and to foster innovative talents. Online Learning Space in different stages provides different support for Wisdom teaching activities, and realizes the goal of Wisdom teaching in different degrees.

scholarly journals Development and evaluation of a virtual learning environment in professional nursing courses

2007 ◽  
Vol 15 (6) ◽  
pp. 1086-1091 ◽  
Author(s):  
Raymunda Viana Aguiar ◽  
Silvia Helena De Bortoli Cassiani
Keyword(s):  
Learning Environment ◽  
Virtual Learning ◽  
Virtual Learning Environment ◽  
Educational Goals ◽  
Program Evaluations ◽  
Professional Nursing ◽  
Nursing Courses ◽  
Teaching Learning ◽  
Nursing Professionals ◽  
Nursing Course

This study aimed to: develop and evaluate a Virtual Learning Environment in the theme administering medications in a professional nursing course in Curitiba/PR, Brazil. The program's elaboration was divided in three phases: 1- Virtual Learning Environment development Guide. Phase 2, corresponded to implementation and assessment of its use. Phase 3, learning Evaluation. The program evaluations demonstrate that it is in accordance to the educational goals intended to develop and implement an educational technology. The assessment on learning showed that the students answered correctly 85% of the questions discussed. The possibility of elaborating new educational technologies can be helpful in the teaching/learning process, as well as in the development of future nursing professionals.

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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