This paper presents an analysis of research papers about programming education that were published in computing education conferences in the years 2005 to 2008. We employed Simon's classification scheme to identify the papers of interest from the ICER, SIGCSE, ITiCSE, ACE, Koli Calling and NACCQ conferences. Having identified the papers, we analysed the type of data collected, whether the analysis was qualitative, quantitative, or mixed, and the aims and outcomes being reported
Educational data mining and learning analytics promise better understanding of student behavior and ...
Three decades of active research on the teaching of intro-ductory programming has had limited effect...
© 2015 ACM. Educational data mining and learning analytics promise better understanding of student b...
This paper presents an analysis of research papers about programming education that were published i...
This paper presents a preliminary analysis of research papers in computing education. While previous...
We have applied Simon's system for classifying computing education publications to all three ye...
A new classification system for computing education papers is presented and applied to every computi...
The interdisciplinary nature of Computer Science Education as a field of study is a complicating fac...
The 157 computing education papers from the past eight NACCQ conferences are categorised and summari...
We analyze the Computing Education Research (CER) literature to discover what theories, conceptual m...
We have been engaged in computing education research for close to two decades. One characteristic of...
Many people consider the contemporary time period the "era of computing." Indeed, technological adva...
This paper identifies the most commonly cited conferences, journals and books among the 1398 citatio...
This paper identifies the most commonly cited conferences, journals and books of the 43 papers withi...
Educational data mining and learning analytics promise better understanding of student behavior and ...
Educational data mining and learning analytics promise better understanding of student behavior and ...
Three decades of active research on the teaching of intro-ductory programming has had limited effect...
© 2015 ACM. Educational data mining and learning analytics promise better understanding of student b...
This paper presents an analysis of research papers about programming education that were published i...
This paper presents a preliminary analysis of research papers in computing education. While previous...
We have applied Simon's system for classifying computing education publications to all three ye...
A new classification system for computing education papers is presented and applied to every computi...
The interdisciplinary nature of Computer Science Education as a field of study is a complicating fac...
The 157 computing education papers from the past eight NACCQ conferences are categorised and summari...
We analyze the Computing Education Research (CER) literature to discover what theories, conceptual m...
We have been engaged in computing education research for close to two decades. One characteristic of...
Many people consider the contemporary time period the "era of computing." Indeed, technological adva...
This paper identifies the most commonly cited conferences, journals and books among the 1398 citatio...
This paper identifies the most commonly cited conferences, journals and books of the 43 papers withi...
Educational data mining and learning analytics promise better understanding of student behavior and ...
Educational data mining and learning analytics promise better understanding of student behavior and ...
Three decades of active research on the teaching of intro-ductory programming has had limited effect...
© 2015 ACM. Educational data mining and learning analytics promise better understanding of student b...