Learning strategies and course design for online teaching of engineering sciences

2023

Closed access Metadata (CSL-JSON)
DOI 10.37788/2023-1/12-19
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

Online learning is not at all like face-to-face learning. Knowledge and skills developed for face-to-face classes are not sufficient preparation for teaching online. It is even more difficult to teach courses in science, technology, engineering and mathematics entirely online, because these courses usually require more hands-on classes and live demonstrations. This article reports on the effectiveness of accepted learning strategies and the design features of online courses in a fully online statistics course from the point of view of students. Online education, including innovative and adaptive online course projects, as well as research on students' ability to interact with online course content, continues to grow in the field of higher education. The widespread use of smartphones and mobile applications makes online courses attractive to students who are on distance learning, promoting the concept of learning anywhere.