Ashish Aggarwal

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 21

Top Topics

Learning Activities

Undergraduate Students

Novice Programmers

Top Venues

Publications

Edward Kempa, Ashish Aggarwal
Understanding Engineering Students' Ethical and Algorithmic Decision Preferences through a Consequentialist Framework. SIGCSE (2) (2024)
Ashish Aggarwal, Manas Adepu, Alex Garcia-Marin, Christina Gardner-McCune
Do Behavioral Factors Influence the Extent to which Students Engage with Formative Practice Opportunities? SIGCSE (1) (2024)
Griffin Pitts, Ashish Aggarwal
Understanding Outcome Expectancy in a CS1 Course. SIGCSE (2) (2024)
Ashish Aggarwal, Neelima Puthanveetil, Christina Gardner-McCune
Who Attempts Optional Practice Problems in a CS1 Course?: Exploring Learner Agency to Foster Mastery Learning. SIGCSE (1) (2023)
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
Aligning the Goals of Learning Analytics with its Research Scholarship: An Open Peer Commentary Approach. J. Learn. Anal. 10 (2) (2023)
Ashish Aggarwal, Griffin Pitts, Shayne Marusic, Leslie Harvey, Christina Gardner-McCune
Does the Availability of Reattempts and Video Solutions Affect Learners' Voluntary Engagement with Mastery Learning Activities? L@S (2023)
Ashish Aggarwal, Aeyzechiah Vasquez
Unison Live: Automated Feedback, Grading, and Analytics LTI Application. Koli Calling (2022)
Ashish Aggarwal, Akshay Ashok
Exploring the Differences in Students' Behavioral Engagement With Quizzes and Its Impact on their Performance in a Flipped CS1 Course. Koli Calling (2022)
Ashish Aggarwal, Saurabh Ranjan
How do Undergraduate Students Reason about Ethical and Algorithmic Decision-Making? SIGCSE (1) (2022)
Bhaskar Mishra, Ashish Aggarwal
Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies. AAAI (2021)
Leslie Harvey, Ashish Aggarwal
How do Quiz and Homework Submission Times Affect Students' Performance in a Flipped CS1 Class? ICER (2020)
Caleb O'Malley, Ashish Aggarwal
Evaluating the Use and Effectiveness of Ungraded Practice Problems in an Introductory Programming Course. ACE (2020)
Ashish Aggarwal, Christina Gardner-McCune, David S. Touretzky
Evaluating the Effectiveness of Explicit Instruction in Reducing Program Reasoning Fallacies in Elementary Level Students. ITiCSE (2019)
Cruz Izu, Carsten Schulte, Ashish Aggarwal, Quintin I. Cutts, Rodrigo Duran, Mirela Gutica, Birte Heinemann, Eileen T. Kraemer, Violetta Lonati, Claudio Mirolo, Renske Weeda
Program Comprehension: Identifying Learning Trajectories for Novice Programmers. ITiCSE (2019)
Cruz Izu, Carsten Schulte, Ashish Aggarwal, Quintin I. Cutts, Rodrigo Duran, Mirela Gutica, Birte Heinemann, Eileen T. Kraemer, Violetta Lonati, Claudio Mirolo, Renske Weeda
Fostering Program Comprehension in Novice Programmers - Learning Activities and Learning Trajectories. ITiCSE (Working Group Reports) (2019)
Ashish Aggarwal, David S. Touretzky, Christina Gardner-McCune
Demonstrating the Ability of Elementary School Students to Reason About Programs. SIGCSE (2018)
Ashish Aggarwal
Neo-Piagetian Classification of Reasoning Ability and Mental Simulation in Microsoft's Kodu Game Lab. SIGCSE (2017)
Ashish Aggarwal, Christina Gardner-McCune, David S. Touretzky
Evaluating the Effect of Using Physical Manipulatives to Foster Computational Thinking in Elementary School. SIGCSE (2017)
David S. Touretzky, Christina Gardner-McCune, Ashish Aggarwal
Semantic Reasoning in Young Programmers. SIGCSE (2017)
David S. Touretzky, Christina Gardner-McCune, Ashish Aggarwal
Teaching "Lawfulness" With Kodu. SIGCSE (2016)
Ashish Aggarwal, Christina Gardner-McCune, David S. Touretzky
Designing and Refining of Questions to Assess Students' Ability to Mentally Simulate Programs and Predict Program Behavior (Abstract Only). SIGCSE (2016)
Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose
A trellis-based optimal parameter value selection for audio coding. IEEE Trans. Speech Audio Process. 14 (2) (2006)
Ashish Aggarwal, Pankaj Jalote
Monitoring the Security Health of Software Systems. ISSRE (2006)
Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose
Efficient bit-rate scalability for weighted squared error optimization in audio coding. IEEE Trans. Speech Audio Process. 14 (4) (2006)
Ashish Aggarwal, Pankaj Jalote
Integrating Static and Dynamic Analysis for Detecting Vulnerabilities. COMPSAC (1) (2006)
Ashish Aggarwal, Sang-Uk Ryu, Kenneth Rose
Efficient scalable coding of stereophonic audio by conditional quantization and estimation-theoretic prediction. ICASSP (5) (2003)
Ashish Aggarwal, Kenneth Rose
A conditional enhancement-layer quantizer for the scalable MPEG advanced Audio Coder. ICASSP (2002)
Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose
Near-optimal selection of encoding parameters for audio coding. ICASSP (2001)
Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose
Asymptotically Optimal Scalable Coding for Minimum Weighted Mean Square Error. Data Compression Conference (2001)