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ORCIDAshish Aggarwal
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2020 – today
- 2024
[c26]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: 18-24- [c25]Edward Kempa, Ashish Aggarwal:
Understanding Engineering Students' Ethical and Algorithmic Decision Preferences through a Consequentialist Framework. SIGCSE (2) 2024: 1883 - [c24]Griffin Pitts, Ashish Aggarwal:
Understanding Outcome Expectancy in a CS1 Course. SIGCSE (2) 2024: 1887 - 2023
- [j3]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): 14-50 (2023) - [c23]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: 421-425 - [c22]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: 1055-1061 - 2022
- [c21]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: 24:1-24:11 - [c20]Ashish Aggarwal, Aeyzechiah Vasquez:
Unison Live: Automated Feedback, Grading, and Analytics LTI Application. Koli Calling 2022: 34:1 - [c19]Ashish Aggarwal, Saurabh Ranjan:
How do Undergraduate Students Reason about Ethical and Algorithmic Decision-Making? SIGCSE (1) 2022: 488-494 - 2021
- [c18]Bhaskar Mishra, Ashish Aggarwal:
Opponent Hand Estimation in Gin Rummy Using Deep Neural Networks and Heuristic Strategies. AAAI 2021: 15607-15613 - 2020
- [c17]Caleb O'Malley, Ashish Aggarwal:
Evaluating the Use and Effectiveness of Ungraded Practice Problems in an Introductory Programming Course. ACE 2020: 177-184 - [c16]Leslie Harvey, Ashish Aggarwal:
How do Quiz and Homework Submission Times Affect Students' Performance in a Flipped CS1 Class? ICER 2020: 314
2010 – 2019
- 2019
- [c15]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-WGR 2019: 27-52 - [c14]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: 261-262 - [c13]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: 292 - 2018
- [c12]Ashish Aggarwal, David S. Touretzky, Christina Gardner-McCune:
Demonstrating the Ability of Elementary School Students to Reason About Programs. SIGCSE 2018: 735-740 - 2017
- [c11]Ashish Aggarwal, Christina Gardner-McCune, David S. Touretzky:
Evaluating the Effect of Using Physical Manipulatives to Foster Computational Thinking in Elementary School. SIGCSE 2017: 9-14 - [c10]David S. Touretzky, Christina Gardner-McCune, Ashish Aggarwal:
Semantic Reasoning in Young Programmers. SIGCSE 2017: 585-590 - [c9]Ashish Aggarwal:
Neo-Piagetian Classification of Reasoning Ability and Mental Simulation in Microsoft's Kodu Game Lab. SIGCSE 2017: 745-746 - 2016
- [c8]David S. Touretzky, Christina Gardner-McCune, Ashish Aggarwal:
Teaching "Lawfulness" With Kodu. SIGCSE 2016: 621-626 - [c7]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: 696
2000 – 2009
- 2006
- [j2]Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose:
A trellis-based optimal parameter value selection for audio coding. IEEE Trans. Speech Audio Process. 14(2): 623-633 (2006) - [j1]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): 1313-1327 (2006) - [c6]Ashish Aggarwal, Pankaj Jalote:
Integrating Static and Dynamic Analysis for Detecting Vulnerabilities. COMPSAC (1) 2006: 343-350 - [c5]Ashish Aggarwal, Pankaj Jalote:
Monitoring the Security Health of Software Systems. ISSRE 2006: 146-158 - 2003
- [c4]Ashish Aggarwal, Sang-Uk Ryu, Kenneth Rose:
Efficient scalable coding of stereophonic audio by conditional quantization and estimation-theoretic prediction. ICASSP (5) 2003: 465-468 - 2002
- [c3]Ashish Aggarwal, Kenneth Rose:
A conditional enhancement-layer quantizer for the scalable MPEG advanced Audio Coder. ICASSP 2002: 1833-1836 - 2001
- [c2]Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose:
Asymptotically Optimal Scalable Coding for Minimum Weighted Mean Square Error. Data Compression Conference 2001: 43-52 - [c1]Ashish Aggarwal, Shankar L. Regunathan, Kenneth Rose:
Near-optimal selection of encoding parameters for audio coding. ICASSP 2001: 3269-3272
Coauthor Index
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last updated on 2024-05-29 20:41 CEST by the dblp team
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