Chaturvedi, Iti, Cambria, Erik, and Welsch, Roy E. (2023) Teaching Simulations Supported by Artificial Intelligence in the Real World. Education Sciences, 13 (2). 187.

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Abstract

Video conferencing has enabled synchronous communication in a classroom and created multi-sensory content to stimulate learners. Artificial intelligence involves complex equations that are better taught using a constructive pedagogy where students experiment with alternative ways of solving the same problem. Multiple-choice questions have high reliability and can easily reveal student skill levels in a quick way. The Australian Computer Society accreditation exercise ensures that the content for each subject serves as a flexible template for teaching. The geographical extent of the country requires the presence of multiple subordinate campuses affiliated to a main campus. Following the concept of strands, it was also necessary to show continuity in learning and assessments between the first- and second-year subjects. Student feedback for subjects with artificial intelligence-based simulations showed that several students found it difficult to understand lectures and assignments. Hence, to measure student learning, we introduced a Kahoot quiz during the recess of each lecture that students could join through their mobile phones from different campuses. Software project management is challenging for students with vision or attention-related disorders. We taught them how to use charts to visually observe variables and narrow down possible relationships before performing in-depth analysis. One of the main purposes of education is employability. Hence, greater context to real world industry examples was introduced into lectures.

Item ID:	77516
Item Type:	Article (Research - C1)
ISSN:	2227-7102
Copyright Information:	© 2023 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Date Deposited:	13 Feb 2023 23:23
FoR Codes:	39 EDUCATION > 3901 Curriculum and pedagogy > 390109 Mathematics and numeracy curriculum and pedagogy @ 40% 46 INFORMATION AND COMPUTING SCIENCES > 4602 Artificial intelligence > 460207 Modelling and simulation @ 30% 39 EDUCATION > 3904 Specialist studies in education > 390408 Learning analytics @ 30%
SEO Codes:	16 EDUCATION AND TRAINING > 1603 Teaching and curriculum > 160302 Pedagogy @ 30% 22 INFORMATION AND COMMUNICATION SERVICES > 2204 Information systems, technologies and services > 220403 Artificial intelligence @ 30% 16 EDUCATION AND TRAINING > 1603 Teaching and curriculum > 160301 Assessment, development and evaluation of curriculum @ 40%
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