Analysis of task difficulty sequences in a simulation-based POE environment
S Nawaz, N Srivastava, JH Yu, RS Baker, G Kennedy, J Bailey
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Springer | Published : 2020
Task difficulty (TD) reflects students’ subjective judgement on the complexity of a task. We examine the task difficulty sequence data of 236 undergraduate students in a simulation-based Predict-Observe-Explain environment. The findings suggest that if students perceive the TDs as easy or hard, it may lead to poorer learning outcomes, while the medium or moderate TDs may result in better learning outcomes. In terms of TD transitions, difficulty level hard followed by a hard may lead to poorer learning outcomes. By contrast, difficulty level medium followed by a medium may lead to better learning outcomes. Understanding how task difficulties manifest over time and how they impact students’ le..View full abstract
We wish to thank Prof. ArialAnbar, Dr LevHorodyskyj and Dr ChrisMead for providing us with the HabitableWorlds data for this research. We also thank Dr. Linda Corrin, DoniaMalekian and Anam Khan for the useful discussion on this work. This research is supported by the Research Training Program (RTP) Scholarship, Melbourne Research Scholarship and the Science of Learning Research Center (SLRC) top-up scholarship.