Investigating effects of selecting challenging goals (2021)
Type of ContentConference Contributions - Published
PublisherSpringer LNAI 12749
EditorsRoll IMcNamara DSosnovsky SLuckin RDimitrova V
Goal setting is a vital component of self-regulated learning. Numerous studies show that selecting challenging goals has strong positive effects on performance. We investigate the effect of support for goal setting in SQL-Tutor. The experimental group had support for selecting challenging goals, while the control group students could select goals freely. The experimental group achieved the same learning outcomes as the control group, but by attempting and solving significantly fewer, but more complex problems. Causal modelling revealed that the experimental group students who selected more challenging goals were superior in problem solving. We also found a significant improvement in self-reported goal setting skills of the experimental group.
CitationTahir F, Mitrovic A, Sotardi V (2021). Investigating effects of selecting challenging goals. Virtual conference: 22nd Int. Conf. AIED. 14/06/2021-18/06/2021. 2. 349-354.
This citation is automatically generated and may be unreliable. Use as a guide only.
Keywordsself-regulated learning; goal setting; intelligent tutoring system
ANZSRC Fields of Research39 - Education::3904 - Specialist studies in education::390409 - Learning sciences
39 - Education::3904 - Specialist studies in education::390405 - Educational technology and computing
RightsAll rights reserved unless otherwise stated
Showing items related by title, author, creator and subject.
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 ...
Mitrovic, Antonija; Ohlsson, S.; Barrow, D. (University of Canterbury. Computer Science and Software Engineering, 2013)Tutoring technologies for supporting learning from errors via negative feedback are highly developed and have proven their worth in empirical evaluations. However, observations of empirical tutoring dialogues highlight the ...
Mitrovic, Antonija; Holland J (Springer, 2020)Numerous controlled studies prove the effectiveness of Intelligent Tutoring Systems (ITSs). But what happens when ITSs are available to students for voluntary practice? EER-Tutor is a mature ITS which was previously found ...