Add to ORKGThis paper reports on a controlled experiment comparing different approaches on how to guide students through a semester long data science project. Four different methodologies, ranging from a traditional “just assign some intermediate milestones” to other more agile methodologies, are compared. The results of the experiment shows that the project methodology used in the classroom made a significant difference in student outcomes. Surprisingly, an Agile Kanban approach was found to be much more effective than an Agile Scrum methodology, which was not one of the leading approaches
Software engineering courses are increasingly moving towards a project-based learning (PBL) approach...
The lack of effective team process is often noted as one of the key drivers of data science project ...
Processes and practices used in data science projects have been reshaping especially over the last d...
This paper reports on a controlled experiment comparing different approaches on how to guide student...
Data Science is an emerging field with a significant research focus on improving the techniques avai...
This paper reports on a case study of the Agile Kanban project methodology, which while growing in p...
[EN] The increasingly dynamic, competitive and volatile business environment that characterizes toda...
This study reports implementation of an Agile teaching framework in two IT project management course...
We investigate the performance of students in a Data-driven Project Management course module that co...
We investigate the performance of students in a Data-driven Project Management course module that co...
There is ample research on when Agile methodologies should and should not be implemented in software...
The objective of traditional software development courses focuses on competencies of the programming...
This Innovative Practice Full Paper presents our learnings of the process to perform a Master of Sci...
This paper explores the factors that impact the adoption of a process methodology for managing and c...
This paper examines the application of the Experiential Learning Survey (ELS) to a setting involving...
Software engineering courses are increasingly moving towards a project-based learning (PBL) approach...
The lack of effective team process is often noted as one of the key drivers of data science project ...
Processes and practices used in data science projects have been reshaping especially over the last d...
This paper reports on a controlled experiment comparing different approaches on how to guide student...
Data Science is an emerging field with a significant research focus on improving the techniques avai...
This paper reports on a case study of the Agile Kanban project methodology, which while growing in p...
[EN] The increasingly dynamic, competitive and volatile business environment that characterizes toda...
This study reports implementation of an Agile teaching framework in two IT project management course...
We investigate the performance of students in a Data-driven Project Management course module that co...
We investigate the performance of students in a Data-driven Project Management course module that co...
There is ample research on when Agile methodologies should and should not be implemented in software...
The objective of traditional software development courses focuses on competencies of the programming...
This Innovative Practice Full Paper presents our learnings of the process to perform a Master of Sci...
This paper explores the factors that impact the adoption of a process methodology for managing and c...
This paper examines the application of the Experiential Learning Survey (ELS) to a setting involving...
Software engineering courses are increasingly moving towards a project-based learning (PBL) approach...
The lack of effective team process is often noted as one of the key drivers of data science project ...
Processes and practices used in data science projects have been reshaping especially over the last d...