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2The Robots Are Here: Navigating the Generative AI Revolution in Computing Education
J. Prather, P. Denny, J. Leinonen, B. Becker, I. Albluwi, M. Craig, H. Keuning, N. Kiesler, T. Kohn, A. Luxton-Reilly and 5 other author(s). Proceedings of the 2023 Working Group Reports on Innovation and Technology in Computer Science Education, page 108–159. New York, NY, USA, Association for Computing Machinery, (Dec 28, 2023)
9 months ago by @brusilovsky
show all tags
llm
programming
llmprogramming
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1“It’s Weird That it Knows What I Want”: Usability and Interactions with Copilot for Novice Programmers
J. Prather, B. Reeves, P. Denny, B. Becker, J. Leinonen, A. Luxton-Reilly, G. Powell, J. Finnie-Ansley, and E. Santos. ACM Transactions on Computer-Human Interaction, 31 (1): 1–31 (November 2023)
11 months ago by @brusilovsky
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usability
user-study
llm
programming
usabilityuser-studyllmprogramming
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2Evaluating Large Language Models Trained on Code
M. Chen, J. Tworek, H. Jun, Q. Yuan, H. Pinto, J. Kaplan, H. Edwards, Y. Burda, N. Joseph, G. Brockman and 48 other author(s). arXiv:cs.LG/2107.03374. arXiv, (2021)
11 months ago by @brusilovsky
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llm
programming
llmprogramming
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2Epplets: A Tool for Solving Parsons Puzzles
A. Kumar. Proceedings of the 49th ACM Technical Symposium on Computer Science Education, page 527-532. ACM, (February 2018)
4 years ago by @brusilovsky
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parsons-problem
programming
parsons-problemprogramming
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1APPLICATION OF A MERIT FUNCTION BASED INTERIOR POINT METHOD TO LINEAR MODEL PREDICTIVE CONTROL
P. Bansode1, D. Sonawane2, and and Prashant Basargi3. International Journal of Information Technology, Modeling and Computing (IJITMC), 2 (2): 01-13 (May 2014)
6 years ago by @alexafedrica
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Quadratic
Control
Point
Interior
Predictive
Merit
Model
Programming
Primal
Dual
Methods
Function
QuadraticControlPointInteriorPredictiveMeritModelProgrammingPrimalDualMethodsFunction
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3Interactive online tutorial assistance for a first programming course
C. Hulls, A. Neale, B. Komalo, V. Petrov, and D. Brush. IEEE Transactions on Education, 48 (4): 719--728 (November 2005)
7 years ago by @aho
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tutorial
programming
tutorialprogramming
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2Developing a common format for sharing programming assignments
S. Edwards, J. Börstler, L. Cassel, M. Hall, and J. Hollingsworth. SIGCSE Bull., 40 (4): 167--182 (2008)
7 years ago by @aho
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evaluation
programming
evaluationprogramming
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3An Evaluation of Self-explanation in a Programming Tutor
A. Kumar. Intelligent Tutoring Systems, volume 8474 of Lecture Notes in Computer Science, Springer International Publishing, (2014)
7 years ago by @brusilovsky
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its
explanation
programming
itsexplanationprogramming
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3Interactive online tutorial assistance for a first programming course
C. Hulls, A. Neale, B. Komalo, V. Petrov, and D. Brush. IEEE Transactions on Education, 48 (4): 719--728 (November 2005)
7 years ago by @brusilovsky
show all tags
tutorial
programming
tutorialprogramming
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2On the relationship of code-anomaly agglomerations and architectural problems
W. Oizumi, A. Garcia, T. Colanzi, M. Ferreira, and A. Staa. Journal of Software Engineering Research and Development, (July 2015)
9 years ago by @ji
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software.architecture
metrics
programming
software.architecturemetricsprogramming
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2OpenCL Performance Evaluation on Modern Multi Core CPUs
J. Lee, K. Patel, N. Nigania, H. Kim, and H. Kim. Parallel and Distributed Processing Symposium Workshops PhD Forum (IPDPSW), 2013 IEEE 27th International, page 1177--1185. (May 2013)
10 years ago by @christophv
show all tags
Thread_scheduling
Locality
OpenMP
parallel_programming
performance_evaluation
multiprocessing_systems
parallel_programming_model
Expose
Scheduling_Overhead
optimization_metrics
Data_Transfer
address_space
open_computing_language
OpenCL
scheduling_overhead
parallel_architectures
All
instruction-level_parallelism
OpenCL_Performance_on_CPU
CPU
microprocessor_chips
Programming
Program_processors
ILP
data_location
Vectorization
out-of-order_multicore_CPU
OpenCL_performance_evaluation
Benchmark_testing
processor_scheduling
optimisation
heterogeneous_architectures
Loop_vectorization
portability_issue
Multicore_processing
Kernel
Performance_evaluation
Thread_schedulingLocalityOpenMPparallel_programmingperformance_evaluationmultiprocessing_systemsparallel_programming_modelExposeScheduling_Overheadoptimization_metricsData_Transferaddress_spaceopen_computing_languageOpenCLscheduling_overheadparallel_architecturesAllinstruction-level_parallelismOpenCL_Performance_on_CPUCPUmicroprocessor_chipsProgrammingProgram_processorsILPdata_locationVectorizationout-of-order_multicore_CPUOpenCL_performance_evaluationBenchmark_testingprocessor_schedulingoptimisationheterogeneous_architecturesLoop_vectorizationportability_issueMulticore_processingKernelPerformance_evaluation
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1A METHODOLOGY TO ENHANCE PROGRAMMING SKILLS OF E-LEARNING STUDENTS
M. Pervez, N. Aslam, S. Muhammad, N. Naveed, S. Qadri, and S. Ahmad. Pakistan Journal of Science, (2015)
10 years ago by @nasir.naveed
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myown
Learning
SoftSkills
Programming
e-Learning
myownLearningSoftSkillsProgramminge-Learning
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1A one year empirical study of student programming bugs
R. Bryce, A. Cooley, A. Hansen, and N. Hayrapetyan. Frontiers in Education Conference (FIE), 2010 IEEE, page F1G-1-F1G-7. (October 2010)
11 years ago by @ji
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cs2
cs1
empirical
education
programming
cs2cs1empiricaleducationprogramming
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2Modeling and implementing software architecture with Acme and ArchJava
M. Abi-Antoun, J. Aldrich, D. Garlan, B. Schmerl, N. Nahas, and T. Tseng. 27th International Conference on Software Engineering, 2005. ICSE 2005. Proceedings, page 676-- 677. IEEE, (May 2005)
12 years ago by @fritzsolms
show all tags
Java
Navigation;
{ArchJava};
Connectors;
Architecture
languages
specification
modeling;
Language;
Architecture;
Java;
model;
Software
architectural
tools;
Architectural
Description
languages;
Documentation;
Acme
architecture;
description
Computer
language;
systems;
programming
JavaNavigation;{ArchJava};Connectors;Architecturelanguagesspecificationmodeling;Language;Architecture;Java;model;Softwarearchitecturaltools;ArchitecturalDescriptionlanguages;Documentation;Acmearchitecture;descriptionComputerlanguage;systems;programming
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1Simulation and optimization approaches to scenario tree generation
N. Gülpınar. Journal of Economic Dynamics and Control, 28 (7): 1291--1315 (April 2004)
13 years ago by @kamil205
show all tags
generation,simulation,stochastic
\"{y}nance,non-linear,scenario
computational
programming
generation,simulation,stochastic\"{y}nance,non-linear,scenariocomputationalprogramming
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2Developing a common format for sharing programming assignments
S. Edwards, J. Börstler, L. Cassel, M. Hall, and J. Hollingsworth. SIGCSE Bull., 40 (4): 167--182 (2008)
16 years ago by @brusilovsky
show all tags
evaluation
programming
evaluationprogramming
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1The systems biology markup language (SBML): a medium for representation and exchange of biochemical network models.
M. Hucka, A. Finney, H. Sauro, H. Bolouri, J. Doyle, H. Kitano, A. Arkin, B. Bornstein, D. Bray, A. Cornish-Bowden and 34 other author(s). Bioinformatics, 19 (4): 524--531 (March 2003)
16 years ago by @hake
show all tags
Retrieval;
Chemical;
Software;
Management
Support,
Factual;
Storage
Terminology;
Biological;
Hypermedia;
Expression
Models,
Vocabulary,
Software
Controlled
Documentation;
Gov't;
Programming
Research
Information
Databases,
Languages;
Gene
Systems;
Non-U.S.
Metabolism;
and
Regulation;
Database
Design;
Retrieval;Chemical;Software;ManagementSupport,Factual;StorageTerminology;Biological;Hypermedia;ExpressionModels,Vocabulary,SoftwareControlledDocumentation;Gov't;ProgrammingResearchInformationDatabases,Languages;GeneSystems;Non-U.S.Metabolism;andRegulation;DatabaseDesign;
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3A Brief History of Software Engineering
N. Wirth. Annals of the History of Computing, IEEE, 30 (3): 32-39 (July 2008)
16 years ago by @neilernst
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software
engineering
programming
softwareengineeringprogramming
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2Texture Generation for Fashion Design Using Genetic Programming
D. Muni, N. Pal, and J. Das. 9th International Conference on Control, Automation, Robotics and Vision, ICARCV '06, page 1--5. Singapore, IEEE, (5-8 December 2006)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
programming
geneticalgorithms,programming
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1Improving Runoff Forecasting by Input Variable Selection in Genetic Programming
N. Muttil, and S. Liong. World Water Congress 2001, 111, page 76--76. Orlando, Florida, USA, ASCE, (20-24 May 2001)
17 years ago by @brazovayeye
show all tags
genetic
algorithms,
programming
geneticalgorithms,programming
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publications (hide)79
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