AIoT-based smart education and online teaching

Abstract

This research will look at an Artificial Intelligence and Internet of Things (IoT) based model of teaching and learning for online course, as well as teaching-learning methodologies design of the curriculum used in the course. The purpose is to offer an "educational curriculum design model" for engineering students. Students in technical courses can learn about small private online courses (SPOC)-AIoT using these modules, and we demonstrated their usefulness through teaching activities. Using a discover, define, develop, deliver double diamond shape strategy, the course and teaching content were designed in order to evaluate students' self-perception and fear of learning during the experimental teaching of AIoT. Students' happiness and effectiveness were studied using a technological acceptance paradigm. During the paradigmatic phase, routes were calculated and hypotheses were validated by bootstrapping, while SPSS was used to analyse measurement and structural models. Using tiny online learning courses in the flipped teaching method immediately gets students' attention and boosts their learning involvement. It is the findings of the study that "self-perception" has a significant positive effect on a user's perception of "usefulness" and "ease of use." According to the study, "fear of learning" is not significantly associated with the "ease of use" and "utility" of flipped learning in combination with online e-learning. There is a positive correlation between the ease of use and the usefulness of digital teaching materials used in flipped teaching that can be associated with predictions of student behaviour. "Perceived ease of use" is the most important factor with a high impact on the "usability" of a product. "Engaged learning" results in a substantial improvement in students' actual "behavioral" attitude toward learning. In comparison to other subjects, science and technology are highly relevant to student learning.