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ORCIDAmruth N. Kumar
Amruth Kumar 0001
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- affiliation: Ramapo College of New Jersey, Mahwah, USA
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2020 – today
- 2023
[j23]Amruth N. Kumar, Brett A. Becker, Marcelo Pias, Michael Oudshoorn, Pankaj Jalote, Christian Servin, Sherif G. Aly, Richard L. Blumenthal, Susan L. Epstein, Monica D. Anderson:
A Combined Knowledge and Competency (CKC) Model for Computer Science Curricula. Inroads 14(3): 22-29 (2023)- [c114]Natalie Kiesler
, Bonnie K. MacKellar, Amruth N. Kumar, Renée McCauley, Rajendra K. Raj, Mihaela Sabin, John Impagliazzo:
Computing Students' Understanding of Dispositions: A Qualitative Study. ITiCSE (1) 2023: 103-109 - [c113]Christian Servin, Brett A. Becker, Eric Eaton, Amruth N. Kumar:
Fuzzy Logic++: Towards Developing Fuzzy Education Curricula Using ACM/IEEE/AAAI CS2023. NAFIPS 2023: 184-193 - [c112]Amruth N. Kumar, Rajendra K. Raj:
Computer Science Curricula 2023 (CS2023): Community Engagement by the ACM/IEEE-CS/AAAI Joint Task Force. SIGCSE (2) 2023: 1212-1213 - [c111]Mihaela Sabin, Natalie Kiesler, Amruth N. Kumar, Bonnie K. MacKellar, Renée McCauley, Rajendra K. Raj, John Impagliazzo:
Fostering Dispositions and Engaging Computing Educators. SIGCSE (2) 2023: 1216-1217 - [c110]Amruth N. Kumar, Renée McCauley, Bonnie K. MacKellar, Mihaela Sabin, Natalie Kiesler, Rajendra K. Raj:
Quantitative Results from a Study of Professional Dispositions. SIGCSE (2) 2023: 1390 - 2022
- [j22]Rajendra K. Raj, Amruth N. Kumar:
Toward computer science curricular guidelines 2023 (CS2023). Inroads 13(4): 22-25 (2022) - [j21]R. Paul Wiegand, Anthony Bucci, Amruth N. Kumar, Jennifer L. Albert, Alessio Gaspar:
Identifying Informatively Easy and Informatively Hard Concepts. ACM Trans. Comput. Educ. 22(1): 7:1-7:28 (2022) - [c109]Kok Cheng Tan, Daniel Zantedeschi, Amruth N. Kumar, Alessio Gaspar:
Genetic algorithm cleaning in sequential data mining: analyzing solutions to parsons' puzzles. GECCO Companion 2022: 2330-2333 - [c108]Amruth N. Kumar:
Solvelets: Tutors to Practice the Process of Programming. ITiCSE (1) 2022: 151-157 - [c107]Vanesa Getseva, Amruth N. Kumar:
An Empirical Analysis of Code-Tracing Concepts. ITiCSE (1) 2022: 262-268 - [c106]John Impagliazzo, Natalie Kiesler, Amruth N. Kumar, Bonnie K. MacKellar, Rajendra K. Raj, Mihaela Sabin:
Perspectives on Dispositions in Computing Competencies. ITiCSE (2) 2022: 662-663 - [c105]Rajendra K. Raj, Amruth N. Kumar, Mihaela Sabin, John Impagliazzo:
Interpreting the ABET Computer Science Criteria Using Competencies. SIGCSE (1) 2022: 906-912 - [c104]Amruth N. Kumar, Rajendra K. Raj:
A First Look at the ACM/IEEE-CS/AAAI Computer Science Curricula (CS202X). SIGCSE (2) 2022: 1023-1024 - 2021
- [c103]Brett A. Becker, Catherine Mooney, Amruth N. Kumar, Seán Russell:
A Simple, Language-Independent Approach to Identifying Potentially At-Risk Introductory Programming Students. ACE 2021: 168-175 - [c102]Amruth N. Kumar:
An Epistemic Model-Based Tutor for Imperative Programming. AIED (2) 2021: 213-218 - [c101]Amruth N. Kumar:
Long Term Retention of Programming Concepts Learned Using Tracing Versus Debugging Tutors. AIED (2) 2021: 219-223 - [c100]Amruth N. Kumar:
Using Markov Transition Matrix to Analyze Parsons Puzzle Solutions (Short Paper). EDM (Workshops) 2021 - [c99]Amruth N. Kumar, Maureen Doyle, Victoria Hong, Alark Joshi, Stan Kurkovsky, Sami Rollins:
Helping Academically Talented STEM Students with Financial Need Succeed. FIE 2021: 1-9 - [c98]Rajendra K. Raj, Mihaela Sabin, John Impagliazzo, David Bowers, Mats Daniels, Felienne Hermans, Natalie Kiesler, Amruth N. Kumar, Bonnie K. MacKellar, Renée McCauley, Syed Waqar Nabi, Michael Oudshoorn:
Professional Competencies in Computing Education: Pedagogies and Assessment. ITiCSE-WGR 2021: 133-161 - [c97]Rajendra K. Raj, Mihaela Sabin, John Impagliazzo, David Bowers, Mats Daniels, Felienne Hermans, Natalie Kiesler, Amruth N. Kumar, Bonnie K. MacKellar, Renée McCauley, Syed Waqar Nabi, Michael Oudshoorn:
Toward Practical Computing Competencies. ITiCSE (2) 2021: 603-604 - [c96]Vanesa Getseva, Amruth N. Kumar:
Comparing Bayesian Knowledge Tracing Model Against Naïve Mastery Model. ITS 2021: 73-77 - [c95]Amruth N. Kumar:
Do Students Use Semantics When Solving Parsons Puzzles? - A Log-Based Investigation. ITS 2021: 444-450 - [c94]Sami Rollins, Alark Joshi, Amruth N. Kumar, Stan Kurkovsky, Tracy Camp:
Best Practices for Designing and Implementing NSF S-STEM Scholarship Projects. SIGCSE 2021: 1358 - 2020
- [c93]Amruth N. Kumar:
Allowing Revisions While Providing Error-Flagging Support: Is More Better? AIED (2) 2020: 147-151 - [c92]Salil Maharjan, Amruth Kumar:
Analyzing Parsons Puzzle Solutions using Modified Levenshtein's Algorithm. CSEDM@EDM 2020 - [c91]Salil Maharjan, Amruth Kumar:
Using Edit Distance Trails to Analyze Path Solutions of Parsons Puzzles. EDM 2020 - [c90]Amruth N. Kumar:
Long Term Retention of Programming Concepts Learned Using a Software Tutor. ITS 2020: 382-387
2010 – 2019
- 2019
- [j20]A. T. M. Golam Bari, Alessio Gaspar, R. Paul Wiegand, Jennifer L. Albert, Anthony Bucci, Amruth N. Kumar:
EvoParsons: design, implementation and preliminary evaluation of evolutionary Parsons puzzle. Genet. Program. Evolvable Mach. 20(2): 213-244 (2019) - [c89]Amruth N. Kumar:
Does Choosing the Concept on Which to Solve Each Practice Problem in an Adaptive Tutor Affect Learning? AIED (2) 2019: 143-147 - [c88]Amruth N. Kumar:
Mnemonic Variable Names in Parsons Puzzles. CompEd 2019: 120-126 - [c87]Amruth N. Kumar:
Quantifying the Relationship Between Projects, Assignments and Grade in Computer Science I. FIE 2019: 1-8 - [c86]Amruth N. Kumar:
Helping Students Solve Parsons Puzzles Better. ITiCSE 2019: 65-70 - [c85]Amruth N. Kumar:
Providing the Option to Skip Feedback - A Reproducibility Study. ITS 2019: 180-185 - [c84]Amruth N. Kumar:
Representing and Evaluating Strategies for Solving Parsons Puzzles. ITS 2019: 193-203 - [e3]Nathalie Guin, Amruth N. Kumar:
Proceedings of the 14th International Conference on Intelligent Tutoring Systems 2018 Workshops, Montreal, QC, Canada, June 11-15, 2018. CEUR Workshop Proceedings 2354, CEUR-WS.org 2019 [contents] - 2018
- [j19]Amruth N. Kumar:
Tallying up SIGCSE. Inroads 9(4): 99 (2018) - [c83]Amruth N. Kumar:
Predicting Student Success in Computer Science - A Reproducibility Study. FIE 2018: 1-6 - [c82]Amruth N. Kumar:
Collateral learning of mobile computing: an experience report. ITiCSE 2018: 27-32 - [c81]Andrew Luxton-Reilly, Simon, Ibrahim Albluwi, Brett A. Becker, Michail N. Giannakos, Amruth N. Kumar, Linda M. Ott, James Paterson, Michael James Scott, Judy Sheard, Claudia Szabo:
Introductory programming: a systematic literature review. ITiCSE (Companion) 2018: 55-106 - [c80]Andrew Luxton-Reilly, Simon, Ibrahim Albluwi, Brett A. Becker, Michail N. Giannakos, Amruth N. Kumar, Linda M. Ott, James Paterson, Michael James Scott, Judy Sheard, Claudia Szabo:
A review of introductory programming research 2003-2017. ITiCSE 2018: 342-343 - [c79]Amruth N. Kumar:
Epplets: A Tool for Solving Parsons Puzzles. SIGCSE 2018: 527-532 - 2017
- [c78]Amruth N. Kumar:
The Effect of Providing Motivational Support in Parsons Puzzle Tutors. AIED 2017: 528-531 - [c77]Amruth N. Kumar:
Learning styles of Computer Science I students. FIE 2017: 1-6 - [c76]Alessio Gaspar, A. T. M. Golam Bari, R. Paul Wiegand, Anthony Bucci, Amruth N. Kumar, Jennifer L. Albert:
Evolutionary Practice Problems Generation: More Design Guidelines. FLAIRS 2017: 549-554 - 2016
- [c75]Anthony Bucci, R. Paul Wiegand, Amruth N. Kumar, Jennifer L. Albert, Alessio Gaspar:
Dimension Extraction Analysis of Student Performance on Problems. FLAIRS 2016: 467-472 - [c74]Alessio Gaspar, A. T. M. Golam Bari, Amruth N. Kumar, Anthony Bucci, R. Paul Wiegand, Jennifer L. Albert:
Evolutionary Practice Problems Generation: Design Guidelines. ICTAI 2016: 544-548 - [c73]Amruth N. Kumar:
The Effectiveness of Visualization for Learning Expression Evaluation: A Reproducibility Study. ITiCSE 2016: 192-197 - [c72]Amruth N. Kumar:
Providing the Option to Skip Feedback in a Worked Example Tutor. ITS 2016: 101-110 - [c71]Amruth N. Kumar:
Using Cloze Procedure Questions in Worked Examples in a Programming Tutor. ITS 2016: 416-422 - [c70]R. Paul Wiegand, Anthony Bucci, Amruth N. Kumar, Jennifer L. Albert, Alessio Gaspar:
A Data-Driven Analysis of Informatively Hard Concepts in Introductory Programming. SIGCSE 2016: 370-375 - 2015
- [c69]Amruth N. Kumar:
Automated Generation of Self-Explanation Questions in Worked Examples in a Model-Based Tutor. AIED 2015: 682-685 - [c68]Amruth N. Kumar:
All that Glitters (in the Lab) May not be Gold (in the Field). AIED Workshops 2015 - [c67]Amruth N. Kumar:
The effect of using online tutors on the self-efficacy of learners. FIE 2015: 1-7 - [c66]Matthias Längrich, Jörg Schulze, Amruth N. Kumar:
Expression tasks for novice programmers: Turning the attention to objectivity, reliability and validity. FIE 2015: 1-8 - [c65]Amruth N. Kumar:
Solving Code-tracing Problems and its Effect on Code-writing Skills Pertaining to Program Semantics. ITiCSE 2015: 314-319 - [c64]Alison Clear, Janet Carter, Amruth Kumar, Cary Laxer, Simon, Ernesto Cuadros-Vargas:
Global Perspectives on Assessing Educational Performance and Quality. ITiCSE 2015: 326-327 - [c63]Amruth N. Kumar:
The Effectiveness of Visualization for Learning Expression Evaluation. SIGCSE 2015: 362-367 - [c62]Cay S. Horstmann, Smita Bakshi, Amruth Kumar, Frank Vahid:
Interactive Ebooks and Course Materials: A BOF for Authors and Instructors (Abstract Only). SIGCSE 2015: 695 - 2014
- [c61]Amruth N. Kumar:
Test anxiety and online testing: A study. FIE 2014: 1-6 - [c60]Peter Brusilovsky, Stephen H. Edwards, Amruth N. Kumar, Lauri Malmi, Luciana Benotti, Duane Buck, Petri Ihantola, Rikki Prince, Teemu Sirkiä, Sergey A. Sosnovsky, Jaime Urquiza-Fuentes, Arto Vihavainen, Michael Wollowski:
Increasing Adoption of Smart Learning Content for Computer Science Education. ITiCSE-WGR 2014: 31-57 - [c59]Amruth N. Kumar:
An Evaluation of Self-explanation in a Programming Tutor. Intelligent Tutoring Systems 2014: 248-253 - [c58]Amruth Kumar:
Affective Learning with Online Software Tutors for Programming. PPIG 2014: 12 - [c57]Mehran Sahami, Steve Roach, Ernesto Cuadros-Vargas, Elizabeth K. Hawthorne, Amruth Kumar, Richard LeBlanc, David Reed, Remzi Seker:
ACM/IEEE-CS computer science curricula 2013: implementing the final report. SIGCSE 2014: 175-176 - [c56]David Hovemeyer, Jaime Spacco, Robert C. Duvall, Stephen H. Edwards, Amruth N. Kumar, Andrew Petersen, Daniel Zingaro:
Using and sharing programming exercises to improve introductory courses (abstract only). SIGCSE 2014: 737 - [c55]Amruth N. Kumar:
A Model for Deploying Software Tutors. T4E 2014: 3-9 - 2013
- [c54]Amruth N. Kumar:
Using problets for problem-solving exercises in introductory C++/Java/C# courses. FIE 2013: 9-10 - [c53]Amruth N. Kumar, Lisa C. Kaczmarczyk:
Programming tutors, practiced concepts, and demographics. FIE 2013: 773-778 - [c52]Amruth N. Kumar:
A study of the influence of code-tracing problems on code-writing skills. ITiCSE 2013: 183-188 - [c51]Amruth N. Kumar:
A mid-career review of teaching computer science I. SIGCSE 2013: 531-536 - 2012
- [c50]Amruth N. Kumar:
The effect of interleaving an alternate task during tutoring and testing. FIE 2012: 1-5 - [c49]Amruth N. Kumar:
A study of stereotype threat in computer science. ITiCSE 2012: 273-278 - [c48]Amruth N. Kumar:
Limiting the Number of Revisions while Providing Error-Flagging Support during Tests. ITS 2012: 524-530 - [c47]Joan Krone, Doug Baldwin, Jeffrey C. Carver, Joseph E. Hollingsworth, Amruth N. Kumar, Murali Sitaraman:
Teaching mathematical reasoning across the curriculum. SIGCSE 2012: 241-242 - 2011
- [c46]Amruth N. Kumar:
Error-Flagging Support and Higher Test Scores. AIED 2011: 147-154 - [c45]Amruth N. Kumar:
Results from repeated evaluation of an online tutor on introductory Computer Science. FIE 2011: 2 - 2010
- [c44]Amruth N. Kumar:
The case for error detection support during online testing. ITiCSE 2010: 311 - [c43]Amruth N. Kumar:
Error-Flagging Support for Testing and Its Effect on Adaptation. Intelligent Tutoring Systems (1) 2010: 359-368 - [c42]Amruth N. Kumar:
Closed labs in computer science I revisited in the context of online testing. SIGCSE 2010: 539-543
2000 – 2009
- 2009
- [c41]Amruth N. Kumar:
Promoting Reflection and its Effect on Learning in a Programming Tutor. FLAIRS 2009 - [c40]Lawrence D'Antonio, Roger D. Boyle, Amruth N. Kumar, Logan Muller, Claudia Roda, Matti Tedre:
Undergraduate research in CS: a global perspective. ITiCSE 2009: 139-140 - [c39]Amruth N. Kumar:
Need to consider variations within demographic groups when evaluating educational interventions. ITiCSE 2009: 176-180 - [c38]Amruth N. Kumar:
Data space animation for learning the semantics of C++ pointers. SIGCSE 2009: 499-503 - [p1]Sergey A. Sosnovsky, Peter Brusilovsky, Michael Yudelson, Antonija Mitrovic, Moffat Mathews, Amruth N. Kumar:
Semantic Integration of Adaptive Educational Systems. Advances in Ubiquitous User Modelling 2009: 134-158 - 2008
- [j18]Amruth N. Kumar, Patricia A. Joseph, Michael Goldweber, Paul J. Wagner:
Reviewing the SIGCSE reviewing process. ACM SIGCSE Bull. 40(2): 84-89 (2008) - [c37]Adrian Maries, Amruth Kumar:
The Effect of Student Model on Learning. ICALT 2008: 877-881 - [c36]Amruth Kumar:
The Effect of Providing Error-Flagging Support During Testing. Intelligent Tutoring Systems 2008: 799-802 - [c35]Amruth N. Kumar:
The effect of using problem-solving software tutors on the self-confidence of female students. SIGCSE 2008: 523-527 - 2007
- [c34]Amruth Kumar, Adrian Maries:
The Effect of Open Student Model on Learning: A Study. AIED 2007: 596-598 - [c33]Amruth Kumar, Peter Rutigliano:
The Effects of Error-Flagging in a Tutor on Expression Evaluation. AIED 2007: 599-601 - [c32]Amruth Kumar, Peter Rutigliano:
Analyzing the Data Collected by Programming Tutors that Provide Post-Practice Reflection. ICALT 2007: 941-942 - [c31]David R. Musicant, Amruth N. Kumar, Doug Baldwin, Ellen Walker:
Mechanics of undergraduate research at liberal arts colleges: lessons learned. SIGCSE 2007: 65-66 - 2006
- [c30]Amruth Kumar:
A Scalable Solution for Adaptive Problem Sequencing and Its Evaluation. AH 2006: 161-171 - [c29]Amruth N. Kumar:
Using Enhanced Concept Map for Student Modeling in Programming Tutors. FLAIRS 2006: 527-532 - [c28]Amruth Kumar:
The Effect of Using Problem-Solving Tutors on the Self-Confidence of Students. PPIG 2006: 4 - [c27]Amruth N. Kumar, Deepak Kumar, Ingrid Russell:
Non-traditional projects in the undergraduate AI course. SIGCSE 2006: 479-480 - [c26]Tomasz D. Loboda, Atanas Frengov, Amruth N. Kumar, Peter Brusilovsky:
Distributed Framework for Adaptive Explanatory Visualization. PVW 2006: 145-152 - [c25]Amruth Kumar, Stefan Kasabov:
Observer Architecture of Program Visualization. PVW 2006: 153-160 - [c24]Tihomir Piskuliyski, Amruth Kumar:
A General Framework for Overlay Visualization. PVW 2006: 161-169 - 2005
- [j17]Amruth N. Kumar:
Generation of problems, answers, grade, and feedback - case study of a fully automated tutor. ACM J. Educ. Resour. Comput. 5(3): 3 (2005) - [c23]Amruth N. Kumar:
Online tutors for C++/Java programming. ITiCSE 2005: 387 - [c22]Amruth N. Kumar:
Projects in the programming languages course. ITiCSE 2005: 395 - [c21]Amruth N. Kumar:
LEGO robots and AI. ITiCSE 2005: 418 - [c20]Amruth N. Kumar:
Results from the evaluation of the effectiveness of an online tutor on expression evaluation. SIGCSE 2005: 216-220 - [c19]Amruth N. Kumar, Rose K. Shumba, Bina Ramamurthy, Lawrence D'Antonio:
Emerging areas in computer science education. SIGCSE 2005: 453-454 - 2004
- [j16]Amruth N. Kumar:
Three years of using robots in an artificial intelligence course: lessons learned. ACM J. Educ. Resour. Comput. 4(3): 2:1-2:15 (2004) - [c18]Amruth N. Kumar:
Generation of Demand Feedback in Intelligent Tutors for Programming. Canadian AI 2004: 444-448 - [c17]Amruth Kumar:
Web-based tutors for learning programming in C++/Java. ITiCSE 2004: 266 - [c16]Eric Fernandes, Amruth N. Kumar:
A tutor on scope for the programming languages course. SIGCSE 2004: 90-93 - [e2]Roger D. Boyle, Martyn Clark, Amruth N. Kumar:
Proceedings of the 9th Annual SIGCSE Conference on Innovation and Technology in Computer Science Education, ITiCSE 2004, Leeds, UK, June 28-30, 2004. ACM 2004, ISBN 1-58113-836-9 [contents] - 2003
- [c15]Amruth N. Kumar:
A Reified Interface for a Tutor on Program Debugging. ICALT 2003: 190-194 - 2002
- [c14]Amruth N. Kumar:
Learning Programming by Solving Problems. Informatics Curricula and Teaching Methods 2002: 29-39 - [c13]Elliot B. Koffman, Torsten Brinda, Juan Alvarez, Amruth N. Kumar, Maria Lúcia Blanck Lisbôa, Juris Reinfelds, Peter Van Roy, Raul Sidnei Wazlawick:
Teaching Programming and Problem Solving. Informatics Curricula and Teaching Methods 2002: 125-130 - [c12]Harsh Shah, Amruth N. Kumar:
A tutoring system for parameter passing in programming languages. ITiCSE 2002: 170-174 - [c11]Amruth N. Kumar:
Model-Based Reasoning for Domain Modeling in a Web-Based Intelligent Tutoring System to Help Students Learn to Debug C++ Programs. Intelligent Tutoring Systems 2002: 792-801 - [c10]Timothy J. Hickey, Amruth N. Kumar, Linda Wilkens, Andrew Beiderman, Aparna Mahadev, Heidi J. C. Ellis:
Internet-centric computing in the Computer Science curriculum. SIGCSE 2002: 50-51 - 2001
- [j15]Amruth Kumar:
Announcements. Intell. 12(2): 35-38 (2001) - [c9]