A Survey of Automated Assessment Approaches for Programming Assignments
By Kirsti Ala-Mutka. Computer Science Education, 2005
601 citations recorded by the source corpus.
Subfields: Computer Science Applications, Information Systems, Software
View Paper: https://www.semanticscholar.org/paper/c75ced5cc9ce5fa70a9b61a139a3af6ff50d1b85
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
- Juho Leinonen
- Sami Sarsa
- Arto Hellas
- Stephen MacNeil
- Seth Bernstein
- Andrew Tran
- Joanne Kim
In Information Systems
- Paul Denny
- Juho Leinonen
- Sami Sarsa
- Arto Hellas
- Stephen MacNeil
- Seth Bernstein
- Andrew Tran
- Joanne Kim
In Software
- Paul Denny
- Juho Leinonen
- Arto Hellas
- Sami Sarsa
- Abdullah Saad Al-Malaise Al-Ghamdi
- Kris M. Y. Law
- Abdulrahman H. Altalhi
- Arnold Neville Pears
Citations in the corpus
- Developing a computer science-specific learning taxonomy (2007, methodology): “AlaMutka [2] reports a different automated assessment approach.”
- Learning motivation in e-learning facilitated computer programming courses (2010, methodology): “For decades, researchers have been building automated e-learning systems to lower the barriers to programming (Ala-Mutka, 2005; Kelleher & Pausch, 2005).”
- A Systematic Literature Review of Automated Feedback Generation for Programming Exercises (2018, background): “Most AA tools only grade student solutions, but some tools also provide elaborated feedback and can be used to support learning [2].”
- The effect of automatic assessment on novice programming: Strengths and limitations of existing systems (2018, methodology): “This paper will use the same categorization as used by Ala-Mutka [2] and Liang et al. [28], in addition to a hybrid approach, to demonstrate the existing systems from the literature.”
- Review of recent systems for automatic assessment of programming assignments (2010, background): “A Survey of Automated Assessment Approaches for Programming Assignments [1] by Kirsti AlaMutka from 2005 concentrates on what features of programming assignments are automatically assessed whereas Douce et al.”
- Experiences from Using Code Explanations Generated by Large Language Models in a Web Software Development E-Book (2022, methodology): “through the use of automated grading systems [1, 18, 30].”
- A survey of literature on the teaching of introductory programming (2007, methodology): “Ala-Mutka [3] describes the methods and techniques used by automated assessment tools and shows how they are gener-”
- Automatic Generation of Programming Exercises and Code Explanations Using Large Language Models (2022, background): “(2010); Ala-Mutka (2005); Paiva et al. (2022), which at the minimum provide feedback on the correctness of programming assignments submitted for evaluation. As feedback plays a considerable role in learning Hattie and Timperley (2007), in addition to influencing approaches to learning by simply bein”