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Amruth N. Kumar
Amruth Kumar 0001
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- affiliation: Ramapo College of New Jersey, Mahwah, USA
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2020 – today
- 2024
- [j25]Rahul Simha, Amruth N. Kumar
, Rajendra K. Raj
Undergraduate Computer Science Curricula. Commun. ACM 67(2): 29-31 (2024) - [j24]Amruth N. Kumar, Rajendra K. Raj:
Toward a Globalized Understanding of Computer Science Education. Inroads 15(1): 5 (2024) - [c122]Sherif G. Aly
Computer Science Curricula 2023 (CS2023): Rising to the Challenges of Change in AI, Security, and Society. ITiCSE (2) 2024 - [c121]Cruz Izu, Claudio Mirolo, Jürgen Börstler, Harold S. Connamacher, Ryan Crosby, Richard Glassey, Georgiana Haldeman, Olli Kiljunen, Amruth N. Kumar, David Liu, Andrew Luxton-Reilly, Stephanos Matsumoto, Eduardo Carneiro de Oliveira, Seán Russell, Anshul Shah:
Introducing Code Quality at CS1 Level: Examples and Activities. ITiCSE-WGR 2024: 339-377 - [c120]Cruz Izu
Introducing Code Quality in the CS1 Classroom. ITiCSE (2) 2024 - [c119]Natalie Kiesler
Students' Perceptions of Behaviors Associated with Professional Dispositions in Computing Education. ITiCSE (1) 2024 - [c118]Amruth N. Kumar:
Auglets: Intelligent Tutors for Learning Good Coding Practices by Solving Refactoring Problems. SIGCSE Virtual (1) 2024 - [c117]Amruth N. Kumar
Computer Science Curricula 2023 (CS2023): The Final Report. SIGCSE (2) 2024: 1867-1868 - 2023
- [j23]Amruth N. Kumar, Brett A. Becker
A Combined Knowledge and Competency (CKC) Model for Computer Science Curricula. Inroads 14(3): 22-29 (2023) - [c116]Amruth N. Kumar:
Using Markov Matrix to Analyze Students' Strategies for Solving Parsons Puzzles. EDM 2023 - [c115]Renée McCauley, Mihaela Sabin, Amruth N. Kumar, Natalie Kiesler, Bonnie K. MacKellar, Rajendra K. Raj, John Impagliazzo:
Using Vignettes to Elicit Students' Understanding of Dispositions in Computing Education. FIE 2023: 1-5 - [c114]Natalie Kiesler
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
Computer Science Curricula 2023 (CS2023): Community Engagement by the ACM/IEEE-CS/AAAI Joint Task Force. SIGCSE (2) 2023: 1212-1213 - [c111]Mihaela Sabin
Fostering Dispositions and Engaging Computing Educators. SIGCSE (2) 2023: 1216-1217 - [c110]Amruth N. Kumar
Quantitative Results from a Study of Professional Dispositions. SIGCSE (2) 2023: 1390 - 2022
- [j22]Rajendra K. Raj
Toward computer science curricular guidelines 2023 (CS2023). Inroads 13(4): 22-25 (2022) - [j21]R. Paul Wiegand
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
Perspectives on Dispositions in Computing Competencies. ITiCSE (2) 2022: 662-663 - [c105]Rajendra K. Raj
Interpreting the ABET Computer Science Criteria Using Competencies. SIGCSE (1) 2022: 906-912 - [c104]Amruth N. Kumar
A First Look at the ACM/IEEE-CS/AAAI Computer Science Curricula (CS202X). SIGCSE (2) 2022: 1023-1024 - 2021
- [c103]Brett A. Becker
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
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
Professional Competencies in Computing Education: Pedagogies and Assessment. ITiCSE-WGR 2021: 133-161 - [c97]Rajendra K. Raj, Mihaela Sabin, John Impagliazzo, David Bowers
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
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
Introductory programming: a systematic literature review. ITiCSE (Companion) 2018: 55-106 - [c80]Andrew Luxton-Reilly
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
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
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
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
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
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
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
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
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
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
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
Analyzing the Data Collected by Programming Tutors that Provide Post-Practice Reflection. ICALT 2007: 941-942 - [c31]David R. Musicant, Amruth N. Kumar
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
Non-traditional projects in the undergraduate AI course. SIGCSE 2006: 479-480 - [c26]Tomasz D. Loboda, Atanas Frengov, Amruth N. Kumar
Distributed Framework for Adaptive Explanatory Visualization. PVW 2006: 145-152 - [c25]Amruth Kumar
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
Internet-centric computing in the Computer Science curriculum. SIGCSE 2002: 50-51 - 2001
- [j15]Amruth Kumar:
Announcements. Intell. 12(2): 35-38 (2001) - [c9]Amruth N. Kumar
Learning the interaction between pointers and scope in C++. ITiCSE 2001: 45-48 - [c8]Samuel A. Rebelsky, Peter B. Henderson, Amruth N. Kumar, Frederick N. Springsteel:
Why I do declare!: declarative programming in the undergraduate curriculum. SIGCSE 2001: 398-399 - 2000
- [j14]Amruth N. Kumar, Ingrid Russell:
Special Issue on Tools and Techniques of Artificial Intelligence - Introduction. Int. J. Pattern Recognit. Artif. Intell. 14(1): 1-2 (2000) - [j13]Amruth N. Kumar:
Announcements. Intell. 11(1): 41-48 (2000) - [j12]Amruth N. Kumar:
Announcements. Intell. 11(2): 39-42 (2000) - [c7]Amruth Kumar
Dynamically generating problems on static scope. ITiCSE 2000: 9-12
1990 – 1999
- 1999
- [j11]Amruth N. Kumar:
Announcements. Intell. 10(1): 33-38 (1999) - [j10]Amruth N. Kumar:
Announcements. Intell. 10(2): 33-38 (1999) - [j9]Amruth N. Kumar:
Announcements. Intell. 10(3): 37-41 (1999) - [j8]Amruth N. Kumar:
Links. Intell. 10(4): 9-10 (1999) - [j7]Amruth N. Kumar:
Announcements. Intell. 10(4): 43-48 (1999) - [c6]Amruth N. Kumar:
On changing from written to on-line tests in Computer Science I: an assessment. ITiCSE 1999: 25-28 - [c5]Joseph Bergin, Amruth N. Kumar
Resources for Next Generation Introductory CS Courses: Report of the ITiCSE'99 Working Group on Resources for the Next Generation CS 1 Course. ITiCSE-WGR 1999: 101-105 - [e1]Amruth N. Kumar, Ingrid Russell:
Proceedings of the Twelfth International Florida Artificial Intelligence Research Society Conference, May 1-5, 1999, Orlando, Florida, USA. AAAI Press 1999, ISBN 1-57735-080-4 [contents] - 1998
- [j6]Luca Chittaro, Amruth N. Kumar
Reasoning about function and its applications to engineering. Artif. Intell. Eng. 12(4): 331-336 (1998) - [j5]Amruth N. Kumar
Component-ontological representation of function for reasoning about devices. Artif. Intell. Eng. 12(4): 399-415 (1998) - [c4]Amruth N. Kumar:
Problem Generation: Evaluation of Two Domains in Operating Systems. FLAIRS 1998: 178-181 - [c3]Amruth N. Kumar:
Evaluating the pedagogy of computer science courseware delivered over the Web (poster). ITiCSE 1998: 288 - 1996
- [c2]Elizabeth S. Adams, Linda Carswell, Amruth Kumar
Interactive multimedia pedagogies: report of the working group on interactive multimedia pedagogy. ITiCSE 1996: 182-191 - [c1]Amruth N. Kumar
Fork diagrams for teaching selection in CS I. SIGCSE 1996: 348-352 - 1995
- [j4]Amruth N. Kumar
Function-based candidate discrimination during model-based diagnosis. Appl. Artif. Intell. 9(1): 65-80 (1995) - 1994
- [j3]Amruth N. Kumar
Function-based reasoning: An introduction. Appl. Artif. Intell. 8(2): 167-172 (1994) - [j2]Amruth N. Kumar
Function based reasoning. Knowl. Eng. Rev. 9(3): 301-304 (1994) - 1991
- [j1]Amruth N. Kumar
Focusing candidate generation. Artif. Intell. Eng. 6(3): 156-159 (1991)
Coauthor Index
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