Technology-enhanced, modeling-based instruction (TMBI) in science education

Ji Shen, Jing Lei, Hsin Yi Chang, Bahadir Namdar

Research output: Chapter in Book/Report/Conference proceedingChapter

14 Scopus citations

Abstract

In this chapter, we review recent research and development in technology-enhanced, modeling-based instruction (TMBI) in science education. We describe the cognitive, social, and curriculum-design aspects of science learning promoted in these environments. We emphasize the continuum of qualitative to quantitative modeling, the computational mind, and the system thinking that are critical for scientific modeling. We illustrate typical collaborative learning in TMBI science education settings. We highlight scaffolding strategies relevant to TMBI in science curricula.

Original languageEnglish (US)
Title of host publicationHandbook of Research on Educational Communications and Technology
Subtitle of host publicationFourth Edition
PublisherSpringer New York
Pages529-540
Number of pages12
ISBN (Electronic)9781461431855
ISBN (Print)9781461431848
DOIs
StatePublished - Jan 1 2014

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Keywords

  • Computational modeling
  • Model
  • Model-based reasoning
  • System thinking

ASJC Scopus subject areas

  • Social Sciences(all)

Cite this

Shen, J., Lei, J., Chang, H. Y., & Namdar, B. (2014). Technology-enhanced, modeling-based instruction (TMBI) in science education. In Handbook of Research on Educational Communications and Technology: Fourth Edition (pp. 529-540). Springer New York. https://doi.org/10.1007/978-1-4614-3185-5_41