Ashish Aggarwal

According to our database, Ashish Aggarwal authored at least 32 papers between 2001 and 2025.

Collaborative distances:

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

2025

Student Course Behaviors Influencing Performance in a Flipped CS1 Classroom Model.

Griffin Pitts, Ashish Aggarwal

Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 2, 2025

Deconstructing Engineering Students' Ethical Reasoning: A Consequentialist Framework for Algorithmic Choices.

Edward Kempa, Ashish Aggarwal

Proceedings of the 30th ACM Conference on Innovation and Technology in Computer Science Education V. 1, 2025

2024

Understanding Optimal Interactions Between Students and A Chatbot During A Programming Task.

Jinnie Shin, Laura M. Cruz Castro, Zhenlin Yang, Gabriel Castelblanco, Ashish Aggarwal, Walter L. Leite, Bruce F. Carroll

Proceedings of the Winter Simulation Conference, 2024

Understanding Outcome Expectancy in a CS1 Course.

Griffin Pitts, Ashish Aggarwal

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Understanding Engineering Students' Ethical and Algorithmic Decision Preferences through a Consequentialist Framework.

Edward Kempa, Ashish Aggarwal

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

Do Behavioral Factors Influence the Extent to which Students Engage with Formative Practice Opportunities?

Ashish Aggarwal, Manas Adepu, Alex Garcia-Marin, Christina Gardner-McCune

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

2023

Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach.

Rebecca Ferguson, Hassan Khosravi, Vitomir Kovanovic, Olga Viberg, Ashish Aggarwal, Matthieu J. S. Brinkhuis, Simon Buckingham Shum, Lujie Karen Chen, Hendrik Drachsler, Valerie A. Guerrero, Michael Hanses, Caitlin Hayward, Ben Hicks, Ioana Jivet, Kirsty Kitto, René F. Kizilcec, Jason M. Lodge, Catherine A. Manly, Rebecca L. Matz, Michael Meaney, Xavier Ochoa, Brendan A. Schuetze, Marco Spruit, Max van Haastrecht, Anouschka van Leeuwen, Lars van Rijn, Yi-Shan Tsai, Joshua Weidlich, Kimberly Williamson, Veronica X. Yan

J. Learn. Anal., 2023

Who Attempts Optional Practice Problems in a CS1 Course?: Exploring Learner Agency to Foster Mastery Learning.

Ashish Aggarwal, Neelima Puthanveetil, Christina Gardner-McCune

Proceedings of the 54th ACM Technical Symposium on Computer Science Education, Volume 1, 2023

Does the Availability of Reattempts and Video Solutions Affect Learners' Voluntary Engagement with Mastery Learning Activities?

Ashish Aggarwal, Griffin Pitts, Shayne Marusic, Leslie Harvey, Christina Gardner-McCune

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

2022

How do Undergraduate Students Reason about Ethical and Algorithmic Decision-Making?

Ashish Aggarwal, Saurabh Ranjan

Proceedings of the SIGCSE 2022: The 53rd ACM Technical Symposium on Computer Science Education, 2022

Unison Live: Automated Feedback, Grading, and Analytics LTI Application.

Ashish Aggarwal, Aeyzechiah Vasquez

Proceedings of the Koli Calling '22: 22nd Koli Calling International Conference on Computing Education Research, 2022

Exploring the Differences in Students' Behavioral Engagement With Quizzes and Its Impact on their Performance in a Flipped CS1 Course.

Ashish Aggarwal, Akshay Ashok

Proceedings of the Koli Calling '22: 22nd Koli Calling International Conference on Computing Education Research, 2022

2021

Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies.

Bhaskar Mishra, Ashish Aggarwal

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

How do Quiz and Homework Submission Times Affect Students' Performance in a Flipped CS1 Class?

Leslie Harvey, Ashish Aggarwal

Proceedings of the ICER 2020: International Computing Education Research Conference, 2020

Evaluating the Use and Effectiveness of Ungraded Practice Problems in an Introductory Programming Course.

Caleb O'Malley, Ashish Aggarwal

Proceedings of the ACE 2020, 2020

2019

Fostering Program Comprehension in Novice Programmers - Learning Activities and Learning Trajectories.

Cruz Izu, Carsten Schulte, Ashish Aggarwal, Quintin I. Cutts, Rodrigo Duran, Mirela Gutica, Birte Heinemann, Eileen T. Kraemer, Violetta Lonati, Claudio Mirolo, Renske Weeda

Proceedings of the Working Group Reports on Innovation and Technology in Computer Science Education, 2019

Program Comprehension: Identifying Learning Trajectories for Novice Programmers.

Cruz Izu, Carsten Schulte, Ashish Aggarwal, Quintin I. Cutts, Rodrigo Duran, Mirela Gutica, Birte Heinemann, Eileen T. Kraemer, Violetta Lonati, Claudio Mirolo, Renske Weeda

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

Evaluating the Effectiveness of Explicit Instruction in Reducing Program Reasoning Fallacies in Elementary Level Students.

Ashish Aggarwal, Christina Gardner-McCune, David S. Touretzky

Proceedings of the 2019 ACM Conference on Innovation and Technology in Computer Science Education, 2019

2018

Demonstrating the Ability of Elementary School Students to Reason About Programs.

Ashish Aggarwal, David S. Touretzky, Christina Gardner-McCune

Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018

2017

Semantic Reasoning in Young Programmers.

David S. Touretzky, Christina Gardner-McCune, Ashish Aggarwal

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Evaluating the Effect of Using Physical Manipulatives to Foster Computational Thinking in Elementary School.

Ashish Aggarwal, Christina Gardner-McCune, David S. Touretzky

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

Neo-Piagetian Classification of Reasoning Ability and Mental Simulation in Microsoft's Kodu Game Lab.

Ashish Aggarwal

Proceedings of the 2017 ACM SIGCSE Technical Symposium on Computer Science Education, 2017

2016

Teaching "Lawfulness" With Kodu.

David S. Touretzky, Christina Gardner-McCune, Ashish Aggarwal

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Designing and Refining of Questions to Assess Students' Ability to Mentally Simulate Programs and Predict Program Behavior (Abstract Only).

Ashish Aggarwal, Christina Gardner-McCune, David S. Touretzky

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

2006

Efficient bit-rate scalability for weighted squared error optimization in audio coding.

Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose

IEEE Trans. Speech Audio Process., 2006

A trellis-based optimal parameter value selection for audio coding.

Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose

IEEE Trans. Speech Audio Process., 2006

Monitoring the Security Health of Software Systems.

Ashish Aggarwal, Pankaj Jalote

Proceedings of the 17th International Symposium on Software Reliability Engineering (ISSRE 2006), 2006

Integrating Static and Dynamic Analysis for Detecting Vulnerabilities.

Ashish Aggarwal, Pankaj Jalote

Proceedings of the 30th Annual International Computer Software and Applications Conference, 2006

2003

Efficient scalable coding of stereophonic audio by conditional quantization and estimation-theoretic prediction.

Ashish Aggarwal, Sang-Uk Ryu, Kenneth Rose

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

A conditional enhancement-layer quantizer for the scalable MPEG advanced Audio Coder.

Ashish Aggarwal, Kenneth Rose

Proceedings of the IEEE International Conference on Acoustics, 2002

2001

Near-optimal selection of encoding parameters for audio coding.

Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose

Proceedings of the IEEE International Conference on Acoustics, 2001

Asymptotically Optimal Scalable Coding for Minimum Weighted Mean Square Error.

Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose

Proceedings of the Data Compression Conference, 2001