Explaining student retention based on psychological characteristics, previous experiences, academic background, and management and computer skills in e-learning environment

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

OJAGHI NAHID; ESMAEILI ZOHREH; SARMADI MOHAMMAD REZA; SAEIDIPOUR BAHMAN

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Technology of Education Journal Year:2019 | Volume:13 | Issue:4 Page(s): 785-792

Download Full-Text

Persian Verion

View:

684

Download:

Cites:

Information Journal Paper

Title

Explaining student retention based on psychological characteristics, previous experiences, academic background, and management and computer skills in e-learning environment

Author(s)

OJAGHI NAHID | ESMAEILI ZOHREH | SARMADI MOHAMMAD REZA | SAEIDIPOUR BAHMAN | Issue Writer Certificate

Keywords

Psychological CharacteristicsQ1

Previous ExperiencesQ1

Academic BackgroundQ1

Management and Computer SkillsQ1

Student RetentionQ1

Abstract

This research was conducted to investigate the relationship between Psychological Characteristics, Previous Experiences, Academic Background, Management and Computer Skills and Student Retention in an e-learning environment. The present research is applied-quantitative in terms of its purpose and descriptive-survey in terms of collecting data. The statistical population in this study encompasses the electronics active students of Payamenoor University. Using 41 researcher-made questions, students were asked to specify their views in relation to any questions in a 5-point Likert scale (from totally agree to totally disagree with). The content validity of the research instrument was approved by five thesis supervisors, consultants, and experts. A confirmatory factor analysis was used to determine the validity of the measurement instrument's structure. All of the questions variables were fitted with factor load. The reliability of the instrument was confirmed by the Cronbach's alpha coefficient which was equal to 0. 83 The results of data collection after adjustment and tabling were analyzed by statistical tests (exploratory). The results of Pearson correlation test showed a significant relationship between Academic Background and Student Retention (r=. 17), Previous Experiences and Student Retention (r=. 14), computer management skills and Student Retention (r=. 47), and Psychological Characteristics and Student Retention (r=. 52). The results of simultaneous regression also showed that predictor variables account for about 76% of Student Retention changes.

Cites

No record.

References

No record.

Cite

APA: Copy

OJAGHI, NAHID, ESMAEILI, ZOHREH, SARMADI, MOHAMMAD REZA, & SAEIDIPOUR, BAHMAN. (2019). Explaining student retention based on psychological characteristics, previous experiences, academic background, and management and computer skills in e-learning environment. JOURNAL OF TECHNOLOGY OF EDUCATION (JOURNAL OF TECHNOLOGY AND EDUCATION), 13(4 ), 785-792. SID. https://sid.ir/paper/155560/en

Vancouver: Copy

OJAGHI NAHID, ESMAEILI ZOHREH, SARMADI MOHAMMAD REZA, SAEIDIPOUR BAHMAN. Explaining student retention based on psychological characteristics, previous experiences, academic background, and management and computer skills in e-learning environment. JOURNAL OF TECHNOLOGY OF EDUCATION (JOURNAL OF TECHNOLOGY AND EDUCATION)[Internet]. 2019;13(4 ):785-792. Available from: https://sid.ir/paper/155560/en

IEEE: Copy

NAHID OJAGHI, ZOHREH ESMAEILI, MOHAMMAD REZA SARMADI, and BAHMAN SAEIDIPOUR, “Explaining student retention based on psychological characteristics, previous experiences, academic background, and management and computer skills in e-learning environment,” JOURNAL OF TECHNOLOGY OF EDUCATION (JOURNAL OF TECHNOLOGY AND EDUCATION), vol. 13, no. 4 , pp. 785–792, 2019, [Online]. Available: https://sid.ir/paper/155560/en

Related Journal Papers