ACADEMIC ACHIEVEMENT PREDICTING MODEL FOR ADMISSION IN MASTER LEVELS CASE STUDY: E-LEARNING CENTER OF IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY

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.

NAMENI AHMAD; TALEPASAND SIAVASH

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

Journal Paper

Paper Information

Journal: Journal of Management and Planning in Educational Systems Year:2016 | Volume:8 | Issue:15 Page(s): 71-82

Download Full-Text

Persian Verion

View:

1,148

Download:

Cites:

Information Journal Paper

Title

ACADEMIC ACHIEVEMENT PREDICTING MODEL FOR ADMISSION IN MASTER LEVELS CASE STUDY: E-LEARNING CENTER OF IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY

Author(s)

NAMENI AHMAD | TALEPASAND SIAVASH | Issue Writer Certificate

Keywords

STUDENT ADMISSIONQ2

ACADEMIC ACHIEVEMENTQ1

PREDICTION MODELQ2

Abstract

Objective: The aim of the present study was to identify factors influencing the ACADEMIC ACHIEVEMENT of students admitted to postgraduate courses (MS) in engineering and management fields in e-learning courses and compile them in the form of a PREDICTION MODEL.Method: This study performed with a correlation design. The participants were all of accepted students in the e-learning center of Iran University of Science and Technology (IUST) at postgraduate level, who had recorded formal marks at least in one semester, by the end of the second semester of the academic year 2012-13. The method of entering to the postgraduate course, the kind of university in the graduate program (BS), BS major, and BS grade point average (GPA) for each of participants, have taken as predictor variables and the grade point average (GPA) of the lessons in MS has considered as the criterion variable. Data were analyzed using linear regression model.Results: Among the predictor variables entered into the analysis; BS major (Engineering), admission through university entrance exam (with negative weight), BS grade point average, BS university type (governmental) and BS major (Science), are respectively identified as the most influential factors or predictors of success in post graduate course.Conclusion and discussion: Noticing the relatively low prediction power of the current variables set, some more powerful predictors should be applied if an accurate prediction for ACADEMIC ACHIEVEMENT is expected.

Cites

No record.

References

No record.

Cite

APA: Copy

NAMENI, AHMAD, & TALEPASAND, SIAVASH. (2016). ACADEMIC ACHIEVEMENT PREDICTING MODEL FOR ADMISSION IN MASTER LEVELS CASE STUDY: E-LEARNING CENTER OF IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY. JOURNAL OF MANAGEMENT AND PLANNING IN EDUCATIONAL SYSTEMS, 8(15), 71-82. SID. https://sid.ir/paper/217979/en

Vancouver: Copy

NAMENI AHMAD, TALEPASAND SIAVASH. ACADEMIC ACHIEVEMENT PREDICTING MODEL FOR ADMISSION IN MASTER LEVELS CASE STUDY: E-LEARNING CENTER OF IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY. JOURNAL OF MANAGEMENT AND PLANNING IN EDUCATIONAL SYSTEMS[Internet]. 2016;8(15):71-82. Available from: https://sid.ir/paper/217979/en

IEEE: Copy

AHMAD NAMENI, and SIAVASH TALEPASAND, “ACADEMIC ACHIEVEMENT PREDICTING MODEL FOR ADMISSION IN MASTER LEVELS CASE STUDY: E-LEARNING CENTER OF IRAN UNIVERSITY OF SCIENCE AND TECHNOLOGY,” JOURNAL OF MANAGEMENT AND PLANNING IN EDUCATIONAL SYSTEMS, vol. 8, no. 15, pp. 71–82, 2016, [Online]. Available: https://sid.ir/paper/217979/en

Related Journal Papers