Methods and tools for exploring novice compilation behaviour
By Matthew C. Jadud. International Computing Education Research Workshop, 2006
322 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems, Software
View Paper: https://www.semanticscholar.org/paper/5799eea6f04b127dfb330b9be4263fdaa892648b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Science Applications
- Paul Denny
- Petri Ihantola
- Andrew Luxton-Reilly
- Brett A. Becker
- Claudia Szabo
- Judithe Sheard
- James H. Paterson
- Michail N. Giannakos
In Information Systems
- Paul Denny
- Andrew Luxton-Reilly
- Hazel Victoria Campbell
- Claudia Szabo
- James H. Paterson
- Brett A. Becker
- Abram Hindle
- José Nelson Amaral
In Software
- Hazel Victoria Campbell
- Claudia Szabo
- Andrew Luxton-Reilly
- Paul Denny
- James H. Paterson
- Abram Hindle
- José Nelson Amaral
- Charles Sutton
Citations in the corpus
- Introductory programming: a systematic literature review (2018, methodology): “Jadud and Henriksen [300] suggest that more computing education research studies should be easily replicable and that the tools used for data collection are often too specialised, unstable, or simply unavailable for use in replication studies.”
- All syntax errors are not equal (2012, background): “errors occur much more frequently than most [4, 6].”
- Syntax errors just aren't natural: improving error reporting with language models (2014, background): “The frequency and importance of syntax errors among novice and experienced programmers has been studied by numerous authors [12] [11] [10] [17] [4] [16].”
- Educational Data Mining and Learning Analytics in Programming: Literature Review and Case Studies (2015, methodology): “Behavior Collection of coding, compiling, debugging, and testing activities and their associated metrics that students perform [43,56,60,60,61,74,99,111]”