This symposium addresses how different classes of research methods, all based upon the use of log data from educational software, can facilitate the analysis of students’ learning strategies and behaviors. To this end, four multi-method programs of research are discussed, including the use of qualitative, quantitative-statistical, quantitative-modeling, and educational data mining methods. The symposium presents evidence regarding the applicability of each type of method to research questions of different grain sizes, and provides several examples of how these methods can be used in concert to facilitate our understanding of learning processes, learning strategies, and behaviors related to motivation, meta-cognition, and engagement.
|Publication status||Published - 29 Jun 2010|
|Event||9th International Conference of the Learning Sciences, ICLS 2010 - Chicago, United States|
Duration: 29 Jun 2010 → 2 Jul 2010
Conference number: 9
|Conference||9th International Conference of the Learning Sciences, ICLS 2010|
|Period||29/06/10 → 2/07/10|
Baker, R. S. J. D., Gobert, J. D., & van Joolingen, W. (2010). Qualitative, quantitative, and data mining methods for analyzing log data to characterize students' learning strategies and behaviors [discussant]. 45-49. Paper presented at 9th International Conference of the Learning Sciences, ICLS 2010, Chicago, United States.