Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Estimation on Student Learning Status for Personalized computer programming E-learning environment
PaperId: :  4133
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 3 2017
DUI:    16.0415/IJARIIE-4133
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pratiksha Vinod KamtekarRMD Sinhgad School of Engineering,Warje,Pune
Ketaki Kiran KulkarniRMD Sinhgad School OF Engineering,Warje,Pune
Pratiksha Shriniwas YalawarRMD Sinhgad School Of Engineering,Warje,Pune
Seema ShirkeRMD Sinhgad School of Engineering,Warje,Pune

Abstract

Information Technology
SKP,SLSD,estimation,personalization
According to the constant growth of Information Technology in current human life,departments like computer engineering,computerscience,softwareengineering,information technology and many such departments in several universities are been in demand.Normally teaching and learning the “programming languages” in these departments is one of the primary topics that are to be learned by students so as to develop new ideas and logics in this field.Writing a code for a given task is some what difficult job.Remembering the syntax in certain languages and combining the multiple statements is also difficult.Students who lack to grasp the fundamental concepts in a certain language also lack behind to produce basic programs in that language.This results further in lack of grasping the advanced concepts too.These weaknesses need to be remedied before learning the advanced concepts.Accordingly we come across to find a solution to improve the conceptual learning of the students.The main purpose behind this topic is to assist students in obtaining dynamic and optimal learning process.This can also result in knowing the learning status of each student.This can be achieved using SKP based SLSD (syntax Knowledge Point based Student Learning Status Description).This helps instructors to know individual student learning status.SKP based SLSD focuses on the syntactic knowledge called Syntax Knowledge Point(SKP) extracted from program source code.It combines all syntactic knowledge that should be learned by the students,then collects each student learning activities and finally each students understanding of SKP is estimated based on collected data.By using SKP based SLSD students learning status can be more detailed,better explained and defined by the system.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Pratiksha Vinod Kamtekar, Ketaki Kiran Kulkarni, Pratiksha Shriniwas Yalawar, and Seema Shirke. "Estimation on Student Learning Status for Personalized computer programming E-learning environment" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 3 2017 Page 1804-1807
MLA Pratiksha Vinod Kamtekar, Ketaki Kiran Kulkarni, Pratiksha Shriniwas Yalawar, and Seema Shirke. "Estimation on Student Learning Status for Personalized computer programming E-learning environment." International Journal Of Advance Research And Innovative Ideas In Education 3.3(2017) : 1804-1807.
APA Pratiksha Vinod Kamtekar, Ketaki Kiran Kulkarni, Pratiksha Shriniwas Yalawar, & Seema Shirke. (2017). Estimation on Student Learning Status for Personalized computer programming E-learning environment. International Journal Of Advance Research And Innovative Ideas In Education, 3(3), 1804-1807.
Chicago Pratiksha Vinod Kamtekar, Ketaki Kiran Kulkarni, Pratiksha Shriniwas Yalawar, and Seema Shirke. "Estimation on Student Learning Status for Personalized computer programming E-learning environment." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 3 (2017) : 1804-1807.
Oxford Pratiksha Vinod Kamtekar, Ketaki Kiran Kulkarni, Pratiksha Shriniwas Yalawar, and Seema Shirke. 'Estimation on Student Learning Status for Personalized computer programming E-learning environment', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, 2017, p. 1804-1807. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Estimation_on_Student_Learning_Status_for_Personalized_computer_programming_E_learning_environment_ijariie4133.pdf (Accessed : 01 September 2020).
Harvard Pratiksha Vinod Kamtekar, Ketaki Kiran Kulkarni, Pratiksha Shriniwas Yalawar, and Seema Shirke. (2017) 'Estimation on Student Learning Status for Personalized computer programming E-learning environment', International Journal Of Advance Research And Innovative Ideas In Education, 3(3), pp. 1804-1807IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Estimation_on_Student_Learning_Status_for_Personalized_computer_programming_E_learning_environment_ijariie4133.pdf (Accessed : 01 September 2020)
IEEE Pratiksha Vinod Kamtekar, Ketaki Kiran Kulkarni, Pratiksha Shriniwas Yalawar, and Seema Shirke, "Estimation on Student Learning Status for Personalized computer programming E-learning environment," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, pp. 1804-1807, May-Jun 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/Estimation_on_Student_Learning_Status_for_Personalized_computer_programming_E_learning_environment_ijariie4133.pdf [Accessed : 01 September 2020].
Turabian Pratiksha Vinod Kamtekar, Ketaki Kiran Kulkarni, Pratiksha Shriniwas Yalawar, and Seema Shirke. "Estimation on Student Learning Status for Personalized computer programming E-learning environment." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 3 (01 September 2020).
Vancouver Pratiksha Vinod Kamtekar, Ketaki Kiran Kulkarni, Pratiksha Shriniwas Yalawar, and Seema Shirke. Estimation on Student Learning Status for Personalized computer programming E-learning environment. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 01 September 2020]; 3(3) : 1804-1807. Available from: http://ijariie.com/AdminUploadPdf/Estimation_on_Student_Learning_Status_for_Personalized_computer_programming_E_learning_environment_ijariie4133.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 9/1/2020 11:00:43 PM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
The Shift to Electronic Payment Methods in Commercial Banks: Benefits and ChallengesDigital BankingEssam Zaid Shoaib Al-Dabbashi Download
DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTSInformation TechnologyBHUKYA RAJAKUMAR Download
REAL TIME EMERGENCY VEHICLE DETECTION USING MACHINE LEARNINGComputer Science and EngineeringAravinthkumar A Download
COLLEGIUMBOT: AN AI-DRIVEN CHATBOT FOR ENHANCING STUDENT ENGAGEMENT AND CAMPUS LIFE THROUGH VOICE-BASED INTERACTIONInformation TechnologySIVASANKAR CHITTOOR Download
AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKSInformation TechnologyT SUNDARARAJULU Download
BLOOD GROUP DETECTION USING FINGERPRINTInformation TechnologyN ANITHA Download
SOLAR RADIATION PREDICTION USING MACHINE LEARNINGInformation TechnologyM RAM KUMAR Download
DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAININFORMATION TECHNOLOGYT.SUNDARARAJULU. Download
DEEP CONVOLUTIONAL NEURAL NETWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN ADVANCED VIDEOINFORMATION TECHNOLOGYD.VISWASAHITYA Download
SMART CAR PRICE PREDICTOR USING MACHINE LEARNINGINFORMATION TECHNOLOGYS.JASMIN Download
SUPERVISED LEARNING MODEL INSIGHTS AND EVALUATIONInformation TechnologyB. RAJA KUMAR Download
Enhancing Forensic Data Protection: A Robust Storage Framework with Verified Access and Intelligent Key-Based EncryptionComputer Science EngineeringN ANITHA Download
PREDICTING NEONATAL CARDIAC ARREST IN THE CICU: A STATISTICAL MACHINE LEARNING APPROACH FOR EARLY INTERVENTIONINFORMATION TECHNOLOGYD Viswasahithya Download
AI DRIVEN CROP DISEASE PREDICTION BTech Information TechnologyRhishub Kamalakar Gawade Download
Real-time driver's drowsiness detection using MlInformation Technology and MLKiran parasram shelke Download
12