
Design and Practice of Online and Classroom Programs that Encourage Deep Learning
Author(s) -
Cheng Xiao,
Xia Yin
Publication year - 2020
Publication title -
epic series in education science
Language(s) - English
Resource type - Conference proceedings
ISSN - 2516-2306
DOI - 10.29007/vgm2
Subject(s) - computer science , mathematics education , deep learning , class (philosophy) , taxonomy (biology) , online learning , artificial intelligence , multimedia , psychology , botany , biology
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.