Failure rates in introductory programming

By Jens Bennedsen, M. Caspersen. SGCS, 2007

650 citations recorded by the source corpus.

Subfields: Computer Science Applications, Media Technology, Software

View Paper: https://www.semanticscholar.org/paper/0256c62d041d3296cd02baac50eacd84b91609c6

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

1. Juho Leinonen
2. Arto Hellas
3. Nea Pirttinen
4. Claudia Szabo
5. Andrew Luxton-Reilly
6. Judithe Sheard
7. James H. Paterson
8. Brett A. Becker

In Media Technology

1. Michail N. Giannakos
2. Geber Ramalho
3. Rodrigo Pessoa Medeiros
4. Taciana Pontual Falcão

In Software

1. Arto Hellas
2. Juho Leinonen
3. Claudia Szabo
4. Andrew Luxton-Reilly
5. James H. Paterson
6. Bastiaan Heeren
7. Johan Jeuring
8. Geber Ramalho

Citations in the corpus

• Experimenting with Model Solutions as a Support Mechanism (2019, background): “Research from the last decade suggests that almost one third of students who attend an introductory programming course fail the course [3, 39].”
• A Systematic Literature Review of Automated Feedback Generation for Programming Exercises (2018, background): “• learning programming is challenging [125], and students need help to make progress [29]; • programming courses are taken by thousands of students all over the world [20], and helping students individually with their problems requires a huge time investment of teachers [133].”
• A Systematic Literature Review on Teaching and Learning Introductory Programming in Higher Education (2019, methodology): “There is no consensus on what the main challenges are [1], [3]–[5], nor a clear and complete categorization of them [6], [7].”
• Pair programming in education: a literature review (2011, background): “Failure and withdrawal rates in introductory programming courses of 33% or greater are not uncommon (Bennedsen & Caspersen, 2007).”
• The Impact of Adding Textual Explanations to Next-step Hints in a Novice Programming Environment (2019, background): “Introductory programming courses often have high attrition and failure rates, with pass rates estimated as low as 68% [6, 38].”
• Introductory programming: a systematic literature review (2018, background): “rates among computing students are not alarmingly high [64, 692], and it has been suggested that the difficulties faced by novices may be a consequence of unrealistic expectations rather than intrinsic subject complexity [393].”