An intelligent software model for an effective academic advising in blended learning environment

Joint Authors

Juzif, Siju
Sherimon P. C.

Source

الندوة الإقليمية : تطوير الإرشاد الأكاديمي في الجامعات العربية و المؤسسات التعليمية، الجامعة العربية المفتوحة-فرع سلطنة عمان 22-23 أبريل 2014.

Publisher

Arab Open University

Publication Date

2014-04-30

Country of Publication

Kuwait

No. of Pages

8

Main Subjects

Arts & Humanities (Multidisciplinary)
Educational Sciences

English Abstract

Academic advising is very essential to the academic progress and student success in any university.

It also prepares students to choose the right career and leadership opportunities after graduation.

In blended learning environment, the number of face to face classes is less compared to traditional classroom teaching.

So in such environments, students have less chance to meet their academic advisors than a normal learning environment.

This paper is proposing an Expert system model for academic advising in blended learning environment.

The proposed model consists of mainly six modules such as Course Plan, Communication, Graduate Planning, Probation ,Personal and Advising.

Course Plan Module helps the students in advising and selecting the course.

The module checks the status of the student and accordingly assigns the next set of courses automatically.

Here the module applies AI (Artificial Intelligence) techniques in choosing the right set of courses.

Communication Module is for an effective communication between the advisee and advisor and other stakeholders in the system.

It includes a chat window, an email window, instant message window and a telephone interface which is integrated into a single window and integrated with the course advising module.

Graduate Planning Module helps the students to plan their study in a convenient way.

This module makes use of machine learning techniques and helps the advisee to plan their graduation according to his/her current status.

Probation module alerts the student about probation possibility and help to improve himself from probation.

Various personal reasons which may affect the performance evaluations are analyzed and informed to final Advising module by the personal module.

The final Advising module integrates the results of all other modules and prepare a summary .

The system is implemented in ASP.

NET with C# as the front end and Microsoft SQL Server as a backend.

Data Type

Conference Papers

Record ID

BIM-765189

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