Paper Title

Automated Assistance for Syllabus Understanding & Making(AASUM) Tool

Authors

Prof. Dharma Reddy Tetali , Apoorva Joshi , Sonali Pradhan

Keywords

Hyperlinks, Syllabus, Python, COs(Course Outcomes), POs(Program Outcomes), ERD(Entity Relationship Diagram), Widgets

Abstract

Syllabus plays an important role in various courses of study during higher technical education. AASUM is a tool designed to assist syllabus makers in framing the syllabus. It emphasizes the characteristics and potentials that need to be considered during the design of a course syllabus in order to make the syllabus effective and useful. Syllabus makers can use AASUM while designing the syllabus of a new course. AASUM displays the needed details from different universities and educational institutions, which are already offering similar courses. The objective of this paper is to describe the development and utilization of AASUM tool along with an example. This tool is python based tool containing forms and reports. Faculty can input their Syllabus needs by using the Forms. AASUM maintains a syllabus base containing information about different courses offered by various universities. AASUM generates useful reports with hyperlinks leading to the useful information towards framing the syllabus.

How To Cite

"Automated Assistance for Syllabus Understanding & Making(AASUM) Tool", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 12, page no.67 - 71, December-2016, Available :https://ijsdr.org/papers/IJSDR1612014.pdf

Issue

Volume 1 Issue 12, December-2016

Pages : 67 - 71

Other Publication Details

Paper Reg. ID: IJSDR_160973

Published Paper Id: IJSDR1612014

Downloads: 000347270

Research Area: Engineering

Country: Hyderabad, Telangana, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1612014

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1612014

About Publisher

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

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