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2023 15th International Conference on Computer and Automation Engineering, ICCAE 2023 ; : 102-108, 2023.
Article in English | Scopus | ID: covidwho-20241629


Engineering programs emphasize students career advancement by ensuring that engineering students gain technical and professional capabilities during their four-year study. In a traditional engineering laboratory, students "learn by doing", and laboratory equipment facilitates their discipline-specific knowledge acquisition. Unfortunately, there were significant educational uncertainties, such as COVID-19, which halted laboratory activities for an extended period, causing challenges for students to perform and obtain practical experiments on campus. To overcome these challenges, this research proposes and develops an Artificial Intelligence-based smart tele-assisting technology application to digitalize first-year engineering students practical experience by incorporating Augmented Reality (AR) and Machine Learning (ML) algorithms using the HoloLens 2. This application improves virtual procedural demonstrations and assists first-year engineering students in conducting practical activities remotely. This research also applies various machine learning algorithms to identify and classify different images of electronic components and detect the positions of each component on the breadboard (using the HoloLens 2). Based on a comparative analysis of machine learning algorithms, a hybrid CNN-SVM (Convolutional Neural Network - Support Vector Machine) model is developed and is observed that a hybrid model provides the highest average prediction accuracy compared to other machine learning algorithms. With the help of AR (HoloLens 2) and the hybrid CNN-SVM model, this research allows students to reduce component placement errors on a breadboard and increases students competencies, decision-making abilities, and technical skills to conduct simple laboratory practices remotely. © 2023 IEEE.

13th IEEE Global Engineering Education Conference, EDUCON 2022 ; 2022-March:2127-2130, 2022.
Article in English | Scopus | ID: covidwho-1874247


The laboratories play an important phase in the educational learning process by providing an interactive learning technique and inspiring students to acquire practical skills. However, the current coronavirus pandemic (COVID-19) has increased educational uncertainty significantly. Laboratory experiments have been suspended indefinitely, compelling the education institutions to accept-wider use of virtual and remote learning. This research aims to understand the issues students confront in physical/remote laboratories and explores how physical labs could be digitalized through Augmented Reality (AR) smart glasses. The research paper presents a survey of undergraduate engineering students' perceptions towards the use of AR smart glasses in laboratories. Fosters student to carry out experiments through AR smart glasses to view digital warning messages superimposed on the actual environment, allowing them to dive deeper into information and better comprehend the topic According to the findings, more than 85% of students are interested in adopting AR smart glasses. The survey findings show that integrating emerging technologies such as Augmented Reality (AR) and Artificial Intelligence (Al)-will improve student engagement and learning outcomes by increasing students' depth of connections between the content students are learning and the real-world outside the classroom. Additionally, it enables students to perform experiments remotely without affecting their self-efficacy by experimenting-with laboratory kits delivered off-campus. © 2022 IEEE.