Online Teaching and Learning Technology Tools for Analytical-Numerical Methods in Engineering

The COVID-19 pandemic has forced the synchronized and asynchronized teaching and learning (TnL) to sustain educational programs. It is difficult to change the modality of most STEM courses because the TnL of many laboratory skills does not transform to an online learning environment. The complication of virtual lab skills is the motivation of this paper to focus on the online Analytical Numerical Method course (ANM) integrated with technology tools and apps. The methodology of online TnL for Analytical numerical Methods involves the scientific and mathematical thinking skills in experimental approaches. These approaches employ varied education processes such as heutagogy, peeragogy, and cybergogy. Online ANM is looking for educator 4.0 tools to facilitate the outline of synchronous and asynchronous TnL activities. The apps and tools are suitable for most aspects of ANM course. The implementation strategies integrated Mathematics, IT and engineering. As expected, without STEM approaches and without online TnL technology tools, creating learner engagement through information and communication technology cannot be achieved. The result and discussion of SEM-AMOS model enhance online teaching and learning ANM based on student feedback, questionnaires and survey. Diagram, table and data presentation reveal an unexpected result supported by virtual lab and variants of virtual laboratory. This paper will provide a guidance to educator 4.0 practitioners to modify the current curriculum in line with the latest technological developments and requirements in online TnL.

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Publication Details

Journal
Semarak International Journal of STEM Education
Published
2025-05-08
DOI
https://doi.org/10.37934/sijste.2.1.1925b
Primary Topic
Experimental Learning in Engineering
Type
article
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article

Online Teaching and Learning Technology Tools for Analytical-Numerical Methods in Engineering

Nur Fariha Bharun, Noorazura Shahira Yusniman, Muhammad Suhardi, Nuraini Hashim et al.
Semarak International Journal of STEM Education
Experimental Learning in Engineering
article

Online Teaching and Learning Technology Tools for Analytical-Numerical Methods in Engineering

Nur Fariha Bharun, Noorazura Shahira Yusniman, Muhammad Suhardi, Nuraini Hashim, Norma Alias
article en

Abstract

The COVID-19 pandemic has forced the synchronized and asynchronized teaching and learning (TnL) to sustain educational programs. It is difficult to change the modality of most STEM courses because the TnL of many laboratory skills does not transform to an online learning environment. The complication of virtual lab skills is the motivation of this paper to focus on the online Analytical Numerical Method course (ANM) integrated with technology tools and apps. The methodology of online TnL for Analytical numerical Methods involves the scientific and mathematical thinking skills in experimental approaches. These approaches employ varied education processes such as heutagogy, peeragogy, and cybergogy. Online ANM is looking for educator 4.0 tools to facilitate the outline of synchronous and asynchronous TnL activities. The apps and tools are suitable for most aspects of ANM course. The implementation strategies integrated Mathematics, IT and engineering. As expected, without STEM approaches and without online TnL technology tools, creating learner engagement through information and communication technology cannot be achieved. The result and discussion of SEM-AMOS model enhance online teaching and learning ANM based on student feedback, questionnaires and survey. Diagram, table and data presentation reveal an unexpected result supported by virtual lab and variants of virtual laboratory. This paper will provide a guidance to educator 4.0 practitioners to modify the current curriculum in line with the latest technological developments and requirements in online TnL.

Semarak International Journal of STEM EducationVol. 2(1)
University of Technology Malaysia (MY)
Openalex Percentile: Top 85%
Experimental Learning in Engineering
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