Oscar Karnalim

According to our database, Oscar Karnalim authored at least 53 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Detecting AI assisted submissions in introductory programming via code anomaly.

Oscar Karnalim, Hapnes Toba, Meliana Christianti Johan

Educ. Inf. Technol., September, 2024

Reporting less coincidental similarity to educate students about programming plagiarism and collusion.

Oscar Karnalim, Simon, William J. Chivers

Comput. Sci. Educ., July, 2024

The Effectiveness of Hedy and Python Tutor in Helping Students Learning Programming.

Mewati Ayub, Oscar Karnalim

Proceedings of the 47th MIPRO ICT and Electronics Convention, 2024

Perspective of AI Chatbots in K-12 Education.

Oscar Karnalim, Mewati Ayub, Krismanto Kusbiantoro

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2024

Detecting LLM-Generated Text in Computing Education: Comparative Study for ChatGPT Cases.

Michael Sheinman Orenstrakh, Oscar Karnalim, Carlos Aníbal Suárez, Michael Liut

Proceedings of the 48th IEEE Annual Computers, Software, and Applications Conference, 2024

2023

Gamification to Help Inform Students About Programming Plagiarism and Collusion.

Oscar Karnalim, Simon, William J. Chivers

IEEE Trans. Learn. Technol., October, 2023

Inappropriate Benefits and Identification of ChatGPT Misuse in Programming Tests: A Controlled Experiment.

Hapnes Toba, Oscar Karnalim, Meliana Christianti Johan, Terutoshi Tada, Yenni Merlin Djajalaksana, Tristan Vivaldy

CoRR, 2023

Plagiarism and AI Assistance Misuse in Web Programming: Unfair Benefits and Characteristics.

Oscar Karnalim, Erico Darmawan Handoyo, Hapnes Toba, Yehezkiel David Setiawan, Meliana Christianti Johan, Josephine Alvina Luwia

Proceedings of the IEEE International Conference on Teaching, 2023

Identifying Code Plagiarism on C# Assignments.

Oscar Karnalim

Proceedings of the IEEE International Conference on Advanced Learning Technologies, 2023

2022

Educating Students about Programming Plagiarism and Collusion via Formative Feedback.

Oscar Karnalim, Simon, William J. Chivers, Billy Susanto Panca

ACM Trans. Comput. Educ., 2022

Layered similarity detection for programming plagiarism and collusion on weekly assessments.

Oscar Karnalim, Simon, William J. Chivers

Comput. Appl. Eng. Educ., 2022

Mitigating Accidental Code Plagiarism in a Programming Course Through Code Referencing.

Muftah Afrizal Pangestu, Simon, Oscar Karnalim

Proceedings of the Towards a Collaborative Society Through Creative Learning, 2022

Automated Reporting of Code Quality Issues in Student Submissions.

Oscar Karnalim, Simon, William J. Chivers, Billy Susanto Panca

Proceedings of the Towards a Collaborative Society Through Creative Learning, 2022

Stop Reinventing the Wheel! Promoting Community Software in Computing Education.

Jeremiah J. Blanchard, John R. Hott, Vincent Berry, Rebecca Carroll, Bob Edmison, Richard Glassey, Oscar Karnalim, Brian Plancher, Seán Russell

Proceedings of the 2022 Working Group Reports on Innovation and Technology in Computer Science Education, 2022

Leveraging Community Software in CS Education to Avoid Reinventing the Wheel.

Jeremiah J. Blanchard, John R. Hott, Vincent Berry, Rebecca Carroll, Bob Edmison, Richard Glassey, Oscar Karnalim, Brian Plancher, Seán Russell

Proceedings of the ITiCSE 2022: Innovation and Technology in Computer Science Education, Dublin, Ireland, July 8, 2022

Non-game Incentives in Gamified Programming Education: More Marks or Prizes.

Oscar Karnalim, Simon, William J. Chivers

Proceedings of the Learning in the Age of Digital and Green Transition, 2022

Work-in-Progress: The Impact of Computational Thinking on Introducing Programming: Quasi-experiment and Student Perception.

Mewati Ayub, Oscar Karnalim, Maresha Caroline Wijanto, Robby Tan, Risal, Rossevine Artha Nathasya

Proceedings of the Learning in the Age of Digital and Green Transition, 2022

Online Learning for High Quality Education: Perspective of Indonesian Educators.

Oscar Karnalim, Afifah Muharikah, Sunarto Natsir

Proceedings of the International Conference on Advanced Learning Technologies, 2022

Work-In-Progress: Code Quality Issues of Computing Undergraduates.

Oscar Karnalim, Simon, William J. Chivers

Proceedings of the IEEE Global Engineering Education Conference, 2022

2021

Explanation in Code Similarity Investigation.

Oscar Karnalim, Simon

IEEE Access, 2021

Online Teaching on Student Programming Performance During the Pandemic.

Oscar Karnalim, Gisela Kurniawati, Sendy Ferdian Suiadi

Proceedings of the 2021 IEEE International Conference on Engineering, 2021

Programming Plagiarism and Collusion: Student Perceptions and Mitigating Strategies in Indonesia.

Oscar Karnalim, Irwan Alnarus Kautsar, Bayu Rima Aditya, Yogi Udjaja, Matahari Bhakti Nendya, I Nyoman Darma Kotama

Proceedings of the 2021 IEEE International Conference on Engineering, 2021

Common Code Segment Selection: Semi-Automated Approach and Evaluation.

Oscar Karnalim, Simon

Proceedings of the SIGCSE '21: The 52nd ACM Technical Symposium on Computer Science Education, 2021

Automated, Personalised, and Timely Feedback for Awareness of Programming Plagiarism and Collusion.

Oscar Karnalim

Proceedings of the ICER 2021: ACM Conference on International Computing Education Research, 2021

Transitioning to Online Learning for Indonesian High School Students: Challenges and Possible Solutions.

Oscar Karnalim, Maresha Caroline Wijanto

Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

Relationship between Code Similarity and Course Semester in Programming Assessments.

Oscar Karnalim, Simon

Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

Promoting Code Quality via Automated Feedback on Student Submissions.

Oscar Karnalim, Simon

Proceedings of the IEEE Frontiers in Education Conference, 2021

Transitioning from Offline to Online Learning: Issues from Computing Student Perspective.

Maresha Caroline Wijanto, Oscar Karnalim, Mewati Ayub, Hapnes Toba, Robby Tan

Proceedings of the IEEE Global Engineering Education Conference, 2021

Work-in-Progress: Syntactic Code Similarity Detection in Strongly Directed Assessments.

Oscar Karnalim, Simon, Mewati Ayub, Gisela Kurniawati, Rossevine Artha Nathasya, Maresha Caroline Wijanto

Proceedings of the IEEE Global Engineering Education Conference, 2021

2020

An Automated Attendance System in Academia with Implicit Authentication via Mobile Devices and Wi-Fi Connection.

Billy Susanto Panca, Yansen Paulus, Oscar Karnalim

Int. J. Online Biomed. Eng., 2020

A Scalable Code Similarity Detection with Online Architecture and Focused Comparison for Maintaining Academic Integrity in Programming.

Ricardo Franclinton, Oscar Karnalim, Mewati Ayub

Int. J. Online Biomed. Eng., 2020

Programming Style on Source Code Plagiarism and Collusion Detection.

Oscar Karnalim, Gisela Kurniawati

Int. J. Comput., 2020

Comparing the Impact of Programming Assessment Type: In-Class Vs Take-Home.

Oscar Karnalim, Gisela Kurniawati, Sendy Ferdian Sujadi, Rossevine Artha Nathasya

Int. J. Eng. Pedagog., 2020

TF-IDF Inspired Detection for Cross-Language Source Code Plagiarism and Collusion.

Oscar Karnalim

Comput. Sci., 2020

Preprocessing for Source Code Similarity Detection in Introductory Programming.

Oscar Karnalim, Simon, William J. Chivers

Proceedings of the Koli Calling '20: 20th Koli Calling International Conference on Computing Education Research, 2020

Disguising Code to Help Students Understand Code Similarity.

Oscar Karnalim, Simon

Proceedings of the Koli Calling '20: 20th Koli Calling International Conference on Computing Education Research, 2020

Choosing Code Segments to Exclude from Code Similarity Detection.

Simon, Oscar Karnalim, Judy Sheard, Ilir Dema, Amey Karkare, Juho Leinonen, Michael Liut, Renée McCauley

Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education, 2020

Selection of Code Segments for Exclusion from Code Similarity Detection.

Simon, Oscar Karnalim, Judy Sheard, Ilir Dema, Amey Karkare, Juho Leinonen, Michael Liut, Renée McCauley

Proceedings of the 2020 ACM Conference on Innovation and Technology in Computer Science Education, 2020

Syntax Trees and Information Retrieval to Improve Code Similarity Detection.

Oscar Karnalim, Simon

Proceedings of the ACE 2020, 2020

2019

IR-based technique for linearizing abstract method invocation in plagiarism-suspected source code pair.

Oscar Karnalim

J. King Saud Univ. Comput. Inf. Sci., 2019

Source Code Plagiarism Detection in Academia with Information Retrieval: Dataset and the Observation.

Oscar Karnalim, Setia Budi, Hapnes Toba, Mike Joy

Informatics Educ., 2019

Automated Hints Generation for Investigating Source Code Plagiarism and Identifying The Culprits on In-Class Individual Programming Assessment.

Ariel Elbert Budiman, Oscar Karnalim

Comput., 2019

ES-Plag: Efficient and sensitive source code plagiarism detection tool for academic environment.

Lisan Sulistiani, Oscar Karnalim

Comput. Appl. Eng. Educ., 2019

Similarity Detection Techniques for Academic Source Code Plagiarism and Collusion: A Review.

Oscar Karnalim, Simon, William J. Chivers

Proceedings of the IEEE International Conference on Engineering, Technology and Education, 2019

2018

A Quasi-Experimental Design to Evaluate the Use of PythonTutor on Programming Laboratory Session.

Oscar Karnalim, Mewati Ayub

Int. J. Online Eng., 2018

Dynamic Thresholding Mechanisms for IR-Based Filtering in Efficient Source Code Plagiarism Detection.

Oscar Karnalim, Lisan Sulistiani

CoRR, 2018

The Effectiveness of Low-Level Structure-based Approach Toward Source Code Plagiarism Level Taxonomy.

Oscar Karnalim, Setia Budi

CoRR, 2018

IBAtS - Image Based Attendance System: A Low Cost Solution to Record Student Attendance in a Classroom.

Setia Budi, Oscar Karnalim, Erico D. Handoyo, Sulaeman Santoso, Hapnes Toba, Huyen Nguyen, Vishv Malhotra

Proceedings of the 2018 IEEE International Symposium on Multimedia, 2018

FACE - Face At Classroom Environment: Dataset and Exploration.

Oscar Karnalim, Setia Budi, Sulaeman Santoso, Erico D. Handoyo, Hapnes Toba, Huyen Nguyen, Vishv Malhotra

Proceedings of the Eighth International Conference on Image Processing Theory, 2018

Which Source Code Plagiarism Detection Approach is More Humane?

Oscar Karnalim, Lisan Sulistiani

Proceedings of the 9th International Conference on Awareness Science and Technology, 2018

2017

An Abstract Method Linearization for Detecting Source Code Plagiarism in Object-Oriented Environment.

Oscar Karnalim

CoRR, 2017

Medical Specialists Retrieval System Using Unified Medical Language System.

Aulia Zahrina Qashri, Oscar Karnalim, Hapnes Toba

Proceedings of the 1st International Conference on Medical and Health Informatics, 2017

2016

Software Keyphrase Extraction with Domain-Specific Features.

Oscar Karnalim

Proceedings of the 2016 International Conference on Advanced Computing and Applications, 2016