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 analyzed the type of data collected, whether the analysis was qualitative, quantitative, or mixed, and the aims and outcomes being reported. The greatest number of papers employed quantitative research methods, investigated the ability, aptitude, or understanding of students, and were based in single courses. The theme of the research and the type of study conducted vary across the conferences, indicatin...
Previous research has shown that, despite the importance of programming education, there is limited ...
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 ...
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...
We analyze the Computing Education Research (CER) literature to discover what theories, conceptual m...
The 157 computing education papers from the past eight NACCQ conferences are categorised and summari...
We have been engaged in computing education research for close to two decades. One characteristic of...
This paper identifies the most commonly cited conferences, journals and books among the 1398 citatio...
Many people consider the contemporary time period the "era of computing." Indeed, technological adva...
In order to mature as a research field, computing education research (CER) seeks to build a better t...
This paper reports on the combining of two related but hitherto distinct themes in programming educa...
Previous research has shown that, despite the importance of programming education, there is limited ...
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 ...
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...
We analyze the Computing Education Research (CER) literature to discover what theories, conceptual m...
The 157 computing education papers from the past eight NACCQ conferences are categorised and summari...
We have been engaged in computing education research for close to two decades. One characteristic of...
This paper identifies the most commonly cited conferences, journals and books among the 1398 citatio...
Many people consider the contemporary time period the "era of computing." Indeed, technological adva...
In order to mature as a research field, computing education research (CER) seeks to build a better t...
This paper reports on the combining of two related but hitherto distinct themes in programming educa...
Previous research has shown that, despite the importance of programming education, there is limited ...
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 ...