Design and Practice of Online and Classroom Programs that Encourage Deep Learning

12 pages•Published: February 12, 2020

Abstract

This paper aims to design three online and classroom programs which focus on deep
learning of high school mathematics and physics subjects, with the foundation of three
levels of Bloom’s Taxonomy: understand, analyze and create. A design of learning
tasks and scaffolding for classroom and online in-depth learning support that targets
deep understanding as the first program and a design of thinking tasks and scaffolding
for classroom and online problem-solving support system that targets at analysis and
applications as the second program as well as the third program that designs action
tasks and scaffolding aiming at knowledge innovation. Experienced teachers,
technology experts, and pedagogue
work together striving to help learners deepening self-learning and cooperative learning, encouraging motivation and improving system thinking ability. With on-going experiment in schools, the comparison data of experimental class and control classes on average scores and number of top-ranking students of midterm and final exam have shown the improvements in students’ deep
learning.

Keyphrases: deep learning, global and local, guided thinking map, interactivity and feedback, overall tasks, scaffolding, system and dynamic

In: Claudia Urrea (editor). Proceedings of the MIT LINC 2019 Conference, vol 3, pages 35-46.

Links:	https://easychair.org/publications/paper/dbfc
	https://doi.org/10.29007/vgm2