Search results for author:"BaoHui Zhang"
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Science Education Vol. 90, No. 4 (July 2006) pp. 579–604
Holding the premise that the development of expertise is a continuous process, this study concerns expert models and modeling processes associated with a modeling tool called Model-It. Five advanced Ph.D. students in environmental engineering and...
Learning the Physics of Electricity: A Qualitative Analysis of Collaborative Processes Involved in Productive Failure
International Journal of Computer-Supported Collaborative Learning Vol. 6, No. 1 (March 2011) pp. 57–73
Earlier quantitative studies in computer-supported collaborative learning identified "Productive Failure" (Kapur, Cognition and Instruction 26(3):379-424, "2008") as a phenomenon in which students experiencing relative failures in their initial...
To Guide or Not to Guide: Issues in the Sequencing of Pedagogical Structure in Computational Model-Based Learning
Interactive Learning Environments Vol. 23, No. 6 (2015) pp. 715–730
This research explores issues related to the sequencing of structure that is provided as pedagogical guidance. A study was conducted that involved grade 10 students in Singapore as they learned concepts about electricity using four NetLogo...
Research in Science Education Vol. 32, No. 4 (2002) pp. 567–89
Evaluates the scaffold designed as a dynamic modeling software tool called Model-It in terms of its ability to support learners' use of modeling practices. Discusses the continued empirical validation of types and instances of tool scaffolds. ...
Journal of Science Education and Technology Vol. 24, No. 6 (2015) pp. 789–802
Model-based reasoning has been introduced as an authentic way of learning science, and many researchers have developed technological tools for learning with models. This paper describes how a model-based tool, "BioLogica"?, was used to...
Chee-Kit Looi; Lung-Hsiang Wong; Hyo-Jeong So; Peter Seow; Yancy Toh; Wenli Chen; Baohui Zhang; Cathie Norris; Elliot Soloway
Computers & Education Vol. 53, No. 4 (December 2009) pp. 1120–1132
With the mass adoption of mobile computing devices by the current school generation, significant opportunities have emerged for genuinely supporting differentiated and personalized learning experiences through mobile devices. In our school-based...