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Publication Type : Journal Article
Thematic Areas : Biotech
Publisher : IEEE Transactions on Education
Source : IEEE Transactions on Education, Volume 57, Number 4, p.235-241 (2014)
Keywords : Buildings, Conferences, Educational institutions, Educational technology, Engineering curriculum, Engineering education, Experiments, Factor Analysis, Innovation, innovation management, mathematical model, Observability, open educational resources, Open Educational Resources (OER), potential-adopter student acceptance, Regression analysis, Roger theory, simulation, student experiments, tablets, Technological innovation, Virtual lab, Virtual Labs, VLAB OER experience
Campus : Amritapuri
School : Department of Computer Science and Engineering, School of Biotechnology, School of Engineering
Center : Computational Neuroscience and Neurophysiology, Amrita Mind Brain Center, AmritaCREATE, Biotechnology
Department : Computer Science, biotechnology
Year : 2014
Abstract : Virtual Labs (VLAB) is a multi-institutional Open Educational Resources (OER) initiative, exclusively focused on lab experiments for engineering education. This project envisages building a large OER repository, containing over 1650 virtual experiments mapped to the engineering curriculum. The introduction of VLAB is a paradigm shift in an educational system that is slow to change. Treating VLAB OER as an educational technology innovation, its adoption by potential-adopter engineering students (N=131) is modeled based on Roger's theory of perceived attributes. Regression and factor analysis were used to analyze the data. Results indicate that the attributes of Compatibility, Ease of Use, Relative Advantage, and Trialability significantly influence potential-adopter students' intention to adopt an innovation like VLAB. The study also observed that using OER (such as VLAB) on desktops and low-cost tablets had similar effects in student performance to using physical labs. This has interesting implications for education policy-makers who are looking to reduce the digital divide.
Cite this Research Publication : Raghu Raman, Achuthan, K., Prof. Prema Nedungadi, Dr. Shyam Diwakar, and Bose, R., “Modeling Potential-Adopter Student Acceptance”, IEEE Transactions on Education, vol. 57, pp. 235-241, 2014.