UGC Approved Journal no 63975(19)
New UGC Peer-Reviewed Rules

ISSN: 2349-5162 | ESTD Year : 2014
Volume 12 | Issue 12 | December 2025

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Published in:

Volume 10 Issue 8
August-2023
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2308172


Registration ID:
522915

Page Number

b587-b592

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Title

Advanced Technique For Enhancing Computer Programming Learning Based On Content-Based Recommendations

Abstract

Learning computer programming is a challenging process. Visual Programming Language (VPL), like Scratch have shown very promising results for beginners to overcome this challenge. Interestingly, some higher-education institutions have started to use VPLs to in CS1 courses which is referred as introduction to programming courses. However, an important issue regarding Scratch’s usage in higher education environments is that students may feel unmotivated being confronted by programming exercises that do not fulfill their individual expectations. In existing work, CARAMBA which is an extension of Scratch including exercise recommender system. This is based on the features like taste and complexity, CARAMBA is able to personalize student learning with Scratch by suitably suggesting exercises for students.The proposed work aims at Recommendation of controlled exercises which will study to build recommendations in which topics are taught to improve students learning based on Content-Based Recommendation systems. These systems recommend items with similar characteristics to those already evaluated by a user and to incorporate the statistical details and to improve user interface.

Key Words

Visual Programming language, Laboratory Virtual Instrument Engineering Workbench

Cite This Article

"Advanced Technique For Enhancing Computer Programming Learning Based On Content-Based Recommendations ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 8, page no.b587-b592, August-2023, Available :http://www.jetir.org/papers/JETIR2308172.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Advanced Technique For Enhancing Computer Programming Learning Based On Content-Based Recommendations ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 8, page no. ppb587-b592, August-2023, Available at : http://www.jetir.org/papers/JETIR2308172.pdf

Publication Details

Published Paper ID: JETIR2308172
Registration ID: 522915
Published In: Volume 10 | Issue 8 | Year August-2023
DOI (Digital Object Identifier):
Page No: b587-b592
Country: Nellore, andhra pradesh, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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