Publication Date
Summer 6-15-2017
Document Type
Presentation
Abstract
This presentation draws academic significance from a focused literature review and initial data for learning design in Science, Technology, Engineering, and Mathematics (STEM) education. The presenters will discuss strategies of fostering deep, active learning, alignment with assessment, and development of assessment instruments and methods. The presenters will share the design and development of an assessment kit to measure learning outcomes that matter in the 21st century STEM education. Through shared evidence and interactive reflection, the audience will take away up-to-date design strategies for deep and active learning as well as assessment in STEM education. The project is sponsored by National Science Foundation.
Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.
Recommended Citation
Liu, J. C., Johnson, E., Mao, J., Jaye, S., & Kansal, R. (2017, June). Design and assessment of deep and active learning in Science, Technology, Engineering, and Mathematics (STEM) education. HKAECT2017 International Research Symposium, Hong Kong, China.
Included in
Curriculum and Instruction Commons, Educational Assessment, Evaluation, and Research Commons, Educational Technology Commons, Instructional Media Design Commons, Science and Mathematics Education Commons
