Exploitation of the unused resources for e-learning using Data Grid

2012 ◽  
Author(s):  
Kavita Jain ◽  
Varsha Wangikar ◽  
Seema Shah ◽  
A. V. Vidhate
Keyword(s):  
Data Grid ◽  
E Learning ◽  
Using Data

Gender Differences in E-Learning

2012 ◽  
pp. 175-191
Author(s):  
Richard D. Johnson
Keyword(s):  
Gender Differences ◽  
Learning Environments ◽  
Social Presence ◽  
Peer Communication ◽  
Web Based ◽  
Communication Processes ◽  
E Learning ◽  
Communication Differences ◽  
Using Data ◽  
Course Outcomes

Although previous research has suggested that women may be at a learning disadvantage in e-learning environments, this study examines communication differences between women and men, arguing that women’s communication patterns may provide them with a learning advantage. Using data from 303 males and 252 females, this paper discusses gender differences in course communication processes and course outcomes in a web-based introductory information systems course. Results indicate that women communicated more, perceived the environment to have greater social presence, were more satisfied with the course, found the course to be of greater value, and had marginally better performance than men. Despite the challenges facing women in e-learning environments, the results of this study suggest that e-learning environments that allow for peer to peer communication and connectedness can help females overcome some of these disadvantages. Implications for research and practice are also discussed.

Institutional Research Using Data Mining

2011 ◽  
pp. 66-102 ◽  
Author(s):  
Constanta-Nicoleta Bodea ◽  
Vasile Bodea ◽  
Radu Mogos
Keyword(s):  
Data Mining ◽  
Academic Performance ◽  
Virtual Learning Environment ◽  
Student Activities ◽  
Participatory Behavior ◽  
Student Profiles ◽  
Clustering And Classification ◽  
E Learning ◽  
Using Data ◽  
And Behavior

The aim of this chapter is to explore the application of data mining for analyzing academic performance in connection with the participatory behavior of the students enrolled in an online two-year Master degree program in project management. The main data sources were the operational database with the students’ records and the log files and statistics provided by the e-learning platform. One hundred eighty-one enrolled students, and more than 150 distinct characteristics/ variables per student were used. Due to the large number of variables, an exploratory data analysis through data mining was chosen, and a model-based discovery approach was designed and executed in Weka environment. The association rules, clustering, and classification were applied in order to identify the factors explaining the students’ performance and the relationship between academic performance and behavior in the virtual learning environment. Data mining has revealed interesting patterns in data. These patterns indicate that academic performance is related to the intensity of the student activities in virtual environment. If the student understands how to work and she/he is motivated to communicate with others, then he might have a good academic performance. Based on clustering analysis, different student profiles were discovered, explaining the academic performance. The results are very encouraging and suggest several future developments.

Observation of Success Status of Employees in E-Learning Courses in Organizations with Data Mining

2017 ◽  
Vol 9 (1) ◽  
pp. 38-49
Author(s):  
Fatma Önay Koçoğlu ◽  
İlkim Ecem Emre ◽  
Çiğdem Selçukcan Erol
Keyword(s):  
Data Mining ◽  
Evaluation Criteria ◽  
Data Set ◽  
Completion Status ◽  
Completion Date ◽  
E Learning ◽  
Pharmaceutical Industries ◽  
Mining Methods ◽  
Using Data ◽  
Performance Results

The aim of this study is to analyze success in e-learning with data mining methods and find out potential patterns. In this context, 374.073 data of 2013-14 period taken from an institution serving in e-learning field in Turkey are used. Data set, which is collected from information technology, banking and pharmaceutical industries, includes success and industry of employees', trainings which they complete, whether the trainings are completed, first login and last logout dates, training completion date and duration of experience in training. Using this data set, success status of participants is observed by using data mining methods (C5.0, Random Forest and Gini). By observing using accuracy, error rate, specificity and f- score from performance evaluation criteria, C5.0 has chosen the algorithm which gives the best performance results. According to the results of the study, it has been determined that the sectors of the employees are not important, on the contrary the ones that are important are the completion status, the duration of experience and training.

scholarly journals Online interaction in higher education: Is there evidence of diminishing returns?

2013 ◽  
Vol 14 (5) ◽  
Author(s):  
Jonatan Castaño-Muñoz ◽  
Teresa Sancho-Vinuesa ◽  
Josep M. Duart
Keyword(s):  
Online Education ◽  
Optimum Level ◽  
Online Interaction ◽  
Face To Face ◽  
Diminishing Returns ◽  
E Learning ◽  
Face To Face Learning ◽  
Using Data ◽  
Different Levels ◽  
Interaction Intensity

<p>Online interaction is considered to be a key aspect of effective e-learning and improved academic achievement. However, few studies have examined how effectiveness varies with the degree of interaction intensity. Using data for 17,090 students from three Catalan universities, in this paper we study the productivity associated with five different levels of interaction intensity in learning. We also compare the results obtained for fully online education with those for face-to-face learning. The analyses show that interaction in online education has diminishing returns, while in face-to-face learning it does not do so in a pure way. These results have implications for determining the optimum level of interaction that should be sought when designing courses and educational policies.</p>

scholarly journals Edubox Utilization as Tool For Evaluation of Learning Outcomes Social Studies

2019 ◽  
Vol 4 (1) ◽  
pp. 71-77
Author(s):  
Inggar Carissa Ambarwati ◽  
Kokom Komalasari ◽  
Ridwan Effendi
Keyword(s):  
Social Studies ◽  
Learning Outcomes ◽  
Evaluation System ◽  
Positive Impact ◽  
Affective Learning ◽  
Evaluation Tool ◽  
E Learning ◽  
Using Data ◽  
Outcome Tool ◽  
Evaluation Of Learning

This research discusses about E-Learning, which is needed to balanced  Education in this modern era. There is a difference in the implementation of E-Learning in every school, what the researchers found is the evaluation system to get the results of learning the value of knowledge that is done online by using an application called Edubox. This research aimed :(1) To know the student’s response to Edubox utilization as an evaluation tool in SMP Negeri 10 Bandung. (2) To know effective IPS learning outcomes of students after using Edubox class VII SMP Negeri 10 Bandung. (3) To Know the results of the cognitive Social Studies learning of students after using Edubox in class VII SMP Negeri 10 Bandung. This research used qualitative descriptive study methods. The participant of this research is 7 random students in every class, Social Studies teachers and vice-principal as the facilities and infrastructures in the field of management Edubox. The Data collecties by interviews, observations, and documentation, while analyzing data using data reduction, data presentation, data verification. The finding shows that 1) the response of the learner, educators, schools on the existence of Edubox brought a positive impact so that the evaluation can be implemented easily. 2) Edubox presence provide change to students in affective learning outcomes such as attitudes, interests and better self-concepts. 3) Edubox can make the learning results in the form of the knowledge value of the learners increased from the previous results. Therefore, I used Edubox as Social Studied learning outcome tool.

scholarly journals Studi Deskriptif Pelaksanaan Pembelajaran Aktif, Kreatif, Efektif, Dan Menyenangkan (PAKEM) Dalam Pembelajaran Tematik Di Madrasah Ibtidaiyah Al-Quraniyah Bengkulu Selatan

2021 ◽  
Vol 3 (2) ◽  
pp. 144-153
Author(s):  
Cindy Waroka ◽  
Sri Ken Kustianti ◽  
Herman Lusa
Keyword(s):  
Core Competencies ◽  
Learning Objectives ◽  
Learning Approach ◽  
Data Display ◽  
Basic Competencies ◽  
E Learning ◽  
Qualitative Descriptive ◽  
Planning Implementation ◽  
Using Data ◽  
Thematic Learning

This study aims to describe the planning, implementation and assessment stages of the active, creative, effective, and fun learning approach (PAKEM) in Thematic learning at Madrasah Ibtidaiyah Al-Quraniyah, South Bengkulu. This research is a qualitative descriptive study. The subjects of this study were teachers of class IV / A at Madrasah Ibtidaiyah Al-Quraniyah Bengkulu Selatan. Data collection techniques used were observation, interviews, and documentation. Data were analyzed using data reduction steps, data display, and drawing conclusions. The research instruments used were observation guidelines, interview guidelines and documentation. The technique of checking the validity of the data was by using the triangulation technique. The results of this study are 1) The planning includes: (a) establishing a theme, (b) RPP identity, (c) determining core competencies / KI, basic competencies / KD, (d) formulating indicators, (e) learning objectives, (f ) learning materials, (g) approaches / methods, (h) tools/media, (i) learning resources, (j) assessment; 2) In the implementation of learning the teacher has implemented Thematic learning using the PAKEM approach properly, 3) the teacher has carried out an assessment of aspects of attitudes, aspects of knowledge and aspects of student skills. Based on the results of the research that has been done, it can be concluded that in the learning process the teacher has carried out the planning, implementation and evaluation stages of thematic learning by applying the PAKEM approach optimally and effectively.

scholarly journals Delivery and evaluation of an e-Learning framework through computer-aided analysis of learners’ reflection text in a teacher development course

2021 ◽  
Vol 16 (1) ◽  
Author(s):  
Siu-Cheung Kong
Keyword(s):  
Teacher Development ◽  
Technology Use ◽  
Learning And Teaching ◽  
Learning Framework ◽  
Computer Aided Analysis ◽  
Computer Aided ◽  
Before And After ◽  
E Learning ◽  
Using Data ◽  
Development Course

AbstractThis study aimed at proposing an e-Learning framework in school education. The proposed framework consisted of technology and pedagogy dimensions. The method of computer-aided analysis of learners’ reflection text was used to evaluate the pedagogical delivery of the proposed framework. A study involving 33 in-service teachers in a teacher development course was conducted to investigate the effectiveness of the pedagogical delivery. The computer-aided analysis of learners’ reflection text on “what is e-Learning” before and after the teaching of the course showed that learners deepened their understanding about the technology use and the importance of pedagogy in e-Learning, to consider more the component on theories/models/principles/strategies in pedagogical design and practices, emphasize more the reflection and discussion in learning and teaching activities, and also realize more the possibility of pedagogical decision-making using data collected from online learning. The questionnaire survey and focus group interview with learners also indicated that the pedagogical delivery of the e-Learning framework with the support from the computer-aided analysis of learners’ reflection text coupled with hierarchical visualization of analysis results was positively perceived. The research findings contribute pioneering insights into the use of a computer-aided approach for an accurate and efficient evaluation in teacher development courses on e-Learning.

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