Identifying Success Criteria for Sustainable AI-based Online Laboratory Courseware System
13th IEEE Global Engineering Education Conference, EDUCON 2022
; 2022-March:1728-1733, 2022.
Article
in English
| Scopus | ID: covidwho-1874214
ABSTRACT
The great transformation of e-learning during the Covid-19 pandemic has led to the emergence of new learning tools and virtual learning environments through Internet. Despite many advantages of e-Learning courseware systems such as availability, flexibility and accessibility, students of some sectors such as engineering, science and technology are facing several limitations in conducting their practical works remotely through online platform for laboratory experiments. The specific objective of this study was to come up with an updated success criteria and list of requirements that should be considered for developing a sustainable artificial intelligence-based online laboratory courseware system. Data for this study were collected using online questionnaire distributed to a group of e-Learning experts. NVivo software was used to analyze experts' comments on how to construct the online laboratory courseware systems. This research revealed 16 basic design and development criteria for the online laboratory courseware system, which are distributed into eight sub-branches and organized into four primary aspects. These findings suggest that in general 30 accurate indicators for the design of an effective laboratory learning system (LLS) for engineering, science and technology sectors dealing with content management, assessment, accessibility and usability as well as the adoption of artificial intelligence techniques. © 2022 IEEE.
artificial intelligence; courseware; Covid-19.; criteria; e-learning; Online laboratory; Computer aided instruction; Curricula; Engineering education; Laboratories; Learning systems; Online systems; E - learning; Learning tool; Online laboratory courseware; Practical works; Science and Technology; Virtual learning environments
Full text:
Available
Collection:
Databases of international organizations
Database:
Scopus
Language:
English
Journal:
13th IEEE Global Engineering Education Conference, EDUCON 2022
Year:
2022
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS