Amruth N. Kumar

ORCID

Publication Activity (10 Years)

Years Active: 1991-2024
Publications (10 Years): 56

Top Venues

Publications

Rahul Simha, Amruth N. Kumar, Rajendra K. Raj
Undergraduate Computer Science Curricula. Commun. ACM 67 (2) (2024)
Amruth N. Kumar, Rajendra K. Raj
Computer Science Curricula 2023 (CS2023): The Final Report. SIGCSE (2) (2024)
Natalie Kiesler, Amruth N. Kumar, Bonnie K. MacKellar, Renée McCauley, Mihaela Sabin, John Impagliazzo
Students' Perceptions of Behaviors Associated with Professional Dispositions in Computing Education. ITiCSE (1) (2024)
Amruth N. Kumar, Rajendra K. Raj
Toward a Globalized Understanding of Computer Science Education. Inroads 15 (1) (2024)
Cruz Izu, Claudio Mirolo, Jürgen Börstler, Harold 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 in the CS1 Classroom. ITiCSE (2) (2024)
Sherif G. Aly, Brett A. Becker, Amruth N. Kumar, Rajendra K. Raj
Computer Science Curricula 2023 (CS2023): Rising to the Challenges of Change in AI, Security, and Society. ITiCSE (2) (2024)
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)
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)
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)
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) (2023)
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)
Amruth N. Kumar
Using Markov Matrix to Analyze Students' Strategies for Solving Parsons Puzzles. EDM (2023)
Christian Servin, Brett A. Becker, Eric Eaton, Amruth N. Kumar
Fuzzy Logic++: Towards Developing Fuzzy Education Curricula Using ACM/IEEE/AAAI CS2023. NAFIPS (2023)
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)
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)
John Impagliazzo, Natalie Kiesler, Amruth N. Kumar, Bonnie K. MacKellar, Rajendra K. Raj, Mihaela Sabin
Perspectives on Dispositions in Computing Competencies. ITiCSE (2) (2022)
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) (2022)
Amruth N. Kumar
Solvelets: Tutors to Practice the Process of Programming. ITiCSE (1) (2022)
Rajendra K. Raj, Amruth N. Kumar
Toward computer science curricular guidelines 2023 (CS2023). Inroads 13 (4) (2022)
Rajendra K. Raj, Amruth N. Kumar, Mihaela Sabin, John Impagliazzo
Interpreting the ABET Computer Science Criteria Using Competencies. SIGCSE (1) (2022)
Vanesa Getseva, Amruth N. Kumar
An Empirical Analysis of Code-Tracing Concepts. ITiCSE (1) (2022)
Amruth N. Kumar, Rajendra K. Raj
A First Look at the ACM/IEEE-CS/AAAI Computer Science Curricula (CS202X). SIGCSE (2) (2022)
Amruth N. Kumar, Maureen Doyle, Victoria Hong, Alark Joshi, Stan Kurkovsky, Sami Rollins
Helping Academically Talented STEM Students with Financial Need Succeed. FIE (2021)
Vanesa Getseva, Amruth N. Kumar
Comparing Bayesian Knowledge Tracing Model Against Naïve Mastery Model. ITS (2021)
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)
Amruth N. Kumar
Long Term Retention of Programming Concepts Learned Using Tracing Versus Debugging Tutors. AIED (2) (2021)
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 (Working Group Reports) (2021)
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)
Amruth N. Kumar
Do Students Use Semantics When Solving Parsons Puzzles? - A Log-Based Investigation. ITS (2021)
Sami Rollins, Alark Joshi, Amruth N. Kumar, Stan Kurkovsky, Tracy Camp
Best Practices for Designing and Implementing NSF S-STEM Scholarship Projects. SIGCSE (2021)
Amruth N. Kumar
Using Markov Transition Matrix to Analyze Parsons Puzzle Solutions (Short Paper). EDM (Workshops) (2021)
Amruth N. Kumar
An Epistemic Model-Based Tutor for Imperative Programming. AIED (2) (2021)
Amruth N. Kumar
Allowing Revisions While Providing Error-Flagging Support: Is More Better? AIED (2) (2020)
Amruth N. Kumar
Long Term Retention of Programming Concepts Learned Using a Software Tutor. ITS (2020)
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) (2019)
Amruth N. Kumar
Does Choosing the Concept on Which to Solve Each Practice Problem in an Adaptive Tutor Affect Learning? AIED (2) (2019)
Amruth N. Kumar
Representing and Evaluating Strategies for Solving Parsons Puzzles. ITS (2019)
Amruth N. Kumar
Providing the Option to Skip Feedback - A Reproducibility Study. ITS (2019)
Amruth N. Kumar
Quantifying the Relationship Between Projects, Assignments and Grade in Computer Science I. FIE (2019)
Amruth N. Kumar
Helping Students Solve Parsons Puzzles Better. ITiCSE (2019)
Amruth N. Kumar
Mnemonic Variable Names in Parsons Puzzles. CompEd (2019)
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)
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)
Amruth N. Kumar
Epplets: A Tool for Solving Parsons Puzzles. SIGCSE (2018)
Amruth N. Kumar
Predicting Student Success in Computer Science - A Reproducibility Study. FIE (2018)
Amruth N. Kumar
Tallying up SIGCSE. Inroads 9 (4) (2018)
Amruth N. Kumar
Collateral learning of mobile computing: an experience report. ITiCSE (2018)
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 Conference (2017)
Amruth N. Kumar
Learning styles of Computer Science I students. FIE (2017)
Amruth N. Kumar
The Effect of Providing Motivational Support in Parsons Puzzle Tutors. AIED (2017)
Amruth N. Kumar
Using Cloze Procedure Questions in Worked Examples in a Programming Tutor. ITS (2016)
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)
Anthony Bucci, R. Paul Wiegand, Amruth N. Kumar, Jennifer L. Albert, Alessio Gaspar
Dimension Extraction Analysis of Student Performance on Problems. FLAIRS Conference (2016)
Amruth N. Kumar
Providing the Option to Skip Feedback in a Worked Example Tutor. ITS (2016)
Amruth N. Kumar
The Effectiveness of Visualization for Learning Expression Evaluation: A Reproducibility Study. ITiCSE (2016)
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)
Amruth N. Kumar
The Effectiveness of Visualization for Learning Expression Evaluation. SIGCSE (2015)
Matthias Längrich, Jörg Schulze, Amruth N. Kumar
Expression tasks for novice programmers: Turning the attention to objectivity, reliability and validity. FIE (2015)
Amruth N. Kumar
The effect of using online tutors on the self-efficacy of learners. FIE (2015)
Amruth N. Kumar
Solving Code-tracing Problems and its Effect on Code-writing Skills Pertaining to Program Semantics. ITiCSE (2015)
Amruth N. Kumar
All that Glitters (in the Lab) May not be Gold (in the Field). AIED Workshops (2015)
Amruth N. Kumar
Automated Generation of Self-Explanation Questions in Worked Examples in a Model-Based Tutor. AIED (2015)
Amruth N. Kumar
Test anxiety and online testing: A study. FIE (2014)
Amruth N. Kumar
A Model for Deploying Software Tutors. T4E (2014)
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)
Amruth N. Kumar
An Evaluation of Self-explanation in a Programming Tutor. Intelligent Tutoring Systems (2014)
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)
Amruth N. Kumar
A mid-career review of teaching computer science I. SIGCSE (2013)
Amruth N. Kumar
A study of the influence of code-tracing problems on code-writing skills. ITiCSE (2013)
Amruth N. Kumar
Using problets for problem-solving exercises in introductory C++/Java/C# courses. FIE (2013)
Amruth N. Kumar, Lisa C. Kaczmarczyk
Programming tutors, practiced concepts, and demographics. FIE (2013)
Amruth N. Kumar
Limiting the Number of Revisions while Providing Error-Flagging Support during Tests. ITS (2012)
Amruth N. Kumar
A study of stereotype threat in computer science. ITiCSE (2012)
Joan Krone, Doug Baldwin, Jeffrey C. Carver, Joseph E. Hollingsworth, Amruth N. Kumar, Murali Sitaraman
Teaching mathematical reasoning across the curriculum. SIGCSE (2012)
Amruth N. Kumar
The effect of interleaving an alternate task during tutoring and testing. FIE (2012)
Amruth N. Kumar
Results from repeated evaluation of an online tutor on introductory Computer Science. FIE (2011)
Amruth N. Kumar
Error-Flagging Support and Higher Test Scores. AIED (2011)
Amruth N. Kumar
Error-Flagging Support for Testing and Its Effect on Adaptation. Intelligent Tutoring Systems (1) (2010)
Amruth N. Kumar
Closed labs in computer science I revisited in the context of online testing. SIGCSE (2010)
Amruth N. Kumar
The case for error detection support during online testing. ITiCSE (2010)
Amruth N. Kumar
Data space animation for learning the semantics of C++ pointers. SIGCSE (2009)
Amruth N. Kumar
Promoting Reflection and its Effect on Learning in a Programming Tutor. FLAIRS Conference (2009)
Amruth N. Kumar
Need to consider variations within demographic groups when evaluating educational interventions. ITiCSE (2009)
Lawrence D'Antonio, Roger D. Boyle, Amruth N. Kumar, Logan Muller, Claudia Roda, Matti Tedre
Undergraduate research in CS: a global perspective. ITiCSE (2009)
Amruth N. Kumar
The effect of using problem-solving software tutors on the self-confidence of female students. SIGCSE (2008)
Amruth N. Kumar, Patricia A. Joseph, Michael Goldweber, Paul J. Wagner
Reviewing the SIGCSE reviewing process. ACM SIGCSE Bull. 40 (2) (2008)
Tomasz D. Loboda, Atanas Frengov, Amruth N. Kumar, Peter Brusilovsky
Distributed Framework for Adaptive Explanatory Visualization. Electron. Notes Theor. Comput. Sci. 178 (2007)
David R. Musicant, Amruth N. Kumar, Doug Baldwin, Ellen Walker
Mechanics of undergraduate research at liberal arts colleges: lessons learned. SIGCSE (2007)
Amruth N. Kumar
Using Enhanced Concept Map for Student Modeling in Programming Tutors. FLAIRS Conference (2006)
Amruth N. Kumar, Deepak Kumar, Ingrid Russell
Non-traditional projects in the undergraduate AI course. SIGCSE (2006)
Amruth N. Kumar
Generation of problems, answers, grade, and feedback - case study of a fully automated tutor. ACM J. Educ. Resour. Comput. 5 (3) (2005)
Amruth N. Kumar
Online tutors for C++/Java programming. ITiCSE (2005)
Amruth N. Kumar, Rose K. Shumba, Bina Ramamurthy, Lawrence D'Antonio
Emerging areas in computer science education. SIGCSE (2005)
Amruth N. Kumar
LEGO robots and AI. ITiCSE (2005)
Amruth N. Kumar
Projects in the programming languages course. ITiCSE (2005)
Amruth N. Kumar
Results from the evaluation of the effectiveness of an online tutor on expression evaluation. SIGCSE (2005)
Amruth N. Kumar
Three years of using robots in an artificial intelligence course: lessons learned. ACM J. Educ. Resour. Comput. 4 (3) (2004)
Eric Fernandes, Amruth N. Kumar
A tutor on scope for the programming languages course. SIGCSE (2004)
Amruth N. Kumar
Generation of Demand Feedback in Intelligent Tutors for Programming. Canadian Conference on AI (2004)
Amruth N. Kumar
A Reified Interface for a Tutor on Program Debugging. ICALT (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Amruth N. Kumar