Concept paper: Efficiency of Artificial Intelligence (AI) tools For STEM Education In Malaysia

Mohammad Aniq Bin Amdan *, Naldo Janius and Mohd Aidil Hazidi Bin Kasdiah

Faculty of Education and Humanities, UNITAR International University, lot129, Alam Mesra, Plaza Utama (phase 3), Sulaman, 88400 Kota Kinabalu, Sabah, Malaysia.
 
Review
International Journal of Science and Research Archive, 2024, 12(02), 553–559.
Article DOI: 10.30574/ijsra.2024.12.2.1273
Publication history: 
Received on 01 June 2024; revised on 09 July 2024; accepted on 12 July 2024
 
Abstract: 
The concept paper identifies the relationship of Artificial Intelligence (AI) towards teaching and learning in STEM education. AI can really revolutionize STEM education if AI-powered tools are in place to ensure that each of the students receives personalized instructions, intelligent tutoring, and interactive simulations. Not only this, but they even grade assignments or quizzes that are submitted automatically and prove predictions with analytics to create efficiency and effectiveness in STEM pedagogy. However, there is a limited quantity of primary research regarding the actual impacts of such AI technologies. The paper will hence fill this gap by making an in-depth assessment of the application of AI tools in STEM classrooms. If strategically deployed, AI has huge potential to improve student mastery in STEM, increase learner motivation and autonomy, and allow teachers to become more personalized in their support. However, it also identifies challenges of equitable access, bias in algorithms, and wishing that the teachers have robust training programs. It thus proposes, based on the results, key recommendations that include developing ethical guidelines, investing in professional development, and designing AI systems accommodating diverse learning needs. To be precise, this research provides relevant empirical evidence and some practical guidance for education stakeholders to harness the transformative power of AI for STEM learning
 
Keywords: 
Artificial intelligence; STEM education; Teacher; Pedagogy; Teaching and learning
 
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