Supporting Novices and Advanced Students in Acquiring Multiple Coding Skills (2018)
We present our study on PyKinetic with various activities to target several skills: code tracing, debugging, and code writing. Half of the participants (control group) received the problems in a fixed order, while for the other half (experimental group) problems were selected adaptively, based on their performance. In a previous paper, we discussed the general findings from the study. In this paper we present further analyses and focus on differences between low performing students and students with higher pre-existing knowledge. We hypothesized that: (H1) novices will benefit more than advanced students, and (H2) advanced students in the experimental group will benefit more than those in the control group. The results confirmed H1 and revealed that this version of PyKinetic was more beneficial for novice learners. Moreover, novices showed evidence of learning multiple skills: code writing, debugging and code tracing. However, we did not have enough evidence for hypothesis H2.
Keywordsmobile Python tutor; Parsons problems; adaptive problem selection; code debugging; code tracing; code writing
ANZSRC Fields of Research39 - Education::3901 - Curriculum and pedagogy::390102 - Curriculum and pedagogy theory and development
08 - Information and Computing Sciences::0803 - Computer Software
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Investigating the effects of learning activities in a mobile Python tutor for targeting multiple coding skills. Fabic GVF; Mitrovic, Antonija; Neshatian K (2018)Mobile devices are increasingly being utilized for learning due to their unique features including portability for providing ubiquitous experiences. In this paper, we present PyKinetic, a mobile tutor we developed for ...
Fabic GVF; Mitrovic, Antonija; Neshatian K (Springer Science and Business Media LLC, 2019)The overarching goal of our project is to design effective learning activities for PyKinetic, a smartphone Python tutor. In this paper, we present a study using a variant of Parsons problems we designed for PyKinetic. Parsons ...
Tahir F; Mitrovic, Antonija; Sotardi V (Asia-Pacific Society for Computers in Education, 2019)Intelligent Tutoring Systems (ITSs) are effective in supporting learning, as shown in numerous studies. The goal of our project is to develop an adaptive strategy that would be capable of identifying situations during ...