Zadariana Jamil, Noraida Mohd Saim
The development of an e-assessment system for laboratory practical exams aimed at Civil Engineering Diploma students is presented. The conventional laboratory practical exam necessitates the presence of lecturers on-site, which can be restrictive. This new e-PraTeSiM approach offers broad access for lecturers unable to attend conventional exams at scheduled times. It enhances the assessment standards through a systematic mechanism and improves the digital record-keeping of students. The implementation includes live streaming of students during practical exams, followed by evaluation through questions presented via the system, with the recording of body gestures and voice levels to assess psychomotor and affective domains per Outcome Based Education (OBE) standards. This allows for an efficient and accurate overall assessment of students. Each student is assigned a QR code to display their individual results and performance, which is incorporated into their digital record for reference by lecturers and prospective employers. This system exemplifies the evolution of practical test assessment and aligns with UiTM's vision towards the Industrial Revolution 4.0.
@article{62f302db-1402-4a40-b469-14ffb86e0b2d,
title={DEVELOPMENT OF e-ASSESSMENT SYSTEM FOR LABORATORY PRACTICAL TEST: e-PraTeSiM},
author={Zadariana Jamil and Noraida Mohd Saim},
year={2018},
language={en}
}TY - JOUR TI - DEVELOPMENT OF e-ASSESSMENT SYSTEM FOR LABORATORY PRACTICAL TEST: e-PraTeSiM AU - Zadariana Jamil AU - Noraida Mohd Saim PY - 2018 LA - en ER -
Deepak Malhotra
This work discusses the essential components of a rigorous auditing process aimed at enhancing metallurgical plant performance. The objective is to id
Ian Cameron, Mitren Sukhram
This book delves into the intricate processes involved in blast furnace ironmaking, emphasizing the analysis, control, and optimization of operations.
Unknown, Unknown
This chapter discusses metal casting processes, highlighting the diversity and common characteristics among them. The objective is to elucidate the fu
Rajesh Jha, Bimal Kumar Jha
This book describes the application of artificial intelligence (AI) and machine learning (ML) concepts to develop predictive models that can be used t
The Australasian Institute of Mining and Metallurgy
This conference, held in Perth, Western Australia, focuses on the latest advancements in metallurgical processing plant design and operational strateg
David Pollard, Geoff Dunlop
The MetPlant 2008 conference focused on advancements in metallurgical processing of ores, emphasizing plant design, operation strategies, and innovati