Abstract
One of the critical features of Computer Science and Engineering (CSE) education is learning by doing. The rapid upsurge in the use of Internet has drawn attention to the importance of online laboratory-based learning in CSE education. However, bringing such experiences online is challenging. Contextually, enabling online virtual lab-based learning is a modern trend in many educational institutions in India. So, online laboratory-based learning has emerged as a popular area of research among educational-technology researchers. In an online laboratory learning environment, the instructor has a significantly reduced role, and students take increased responsibility for their learning. This shows that in online lab-based learning, the involvement of students is higher. Traditional classroom-based laboratory learning has many limitations. The necessity to engage students in self-learning through online laboratory learning is imminent, as the students get an opportunity to perform their laboratory experiments beyond the classrooms as well, such as at home or when on vacation. In this paper we present the design, architecture, database schema, related technologies, user activities, and the use/reuse aspects of the software engineering virtual laboratory (SE VLab) that we have designed and developed. We also provide the details of each experiment in the SE VLab with examples and the assessment results obtained using the SE VLab.
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References
Jamshidi R, Milanovic I (2022) Building virtual laboratory with simulations. Comput Appl Eng Educ 30(2):483–489
El Kharki K, Berrada K, Burgos D (2021) Design and implementation of a virtual laboratory for physics subjects in Moroccan universities. Sustainability 13(7):3711
Alam A (2022) Platform utilising blockchain technology for eLearning and online education for open sharing of academic proficiency and progress records. In: Asokan R, Ruiz DP, Baig ZA, Piramuthu S (eds) Smart data intelligence. Algorithms for intelligent systems. Springer, Singapore
Deepika NM, Bala MM, Kumar R (2021) Design and implementation of intelligent virtual laboratory using RASA framework. Mater Today Proc
Alam A (2022) Educational robotics and computer programming in early childhood education: a conceptual framework for assessing elementary school students’ computational thinking for designing powerful educational scenarios. In: 2022 International conference on smart technologies and systems for next generation computing (ICSTSN). IEEE, pp 1–7. https://doi.org/10.1109/ICSTSN53084.2022.9761354
Vergara D, Fernández-Arias P, Extremera J, Dávila LP, Rubio MP (2022) Educational trends post COVID-19 in engineering: virtual laboratories. Mater Today Proc 49:155–160
Alam A (2021) Possibilities and apprehensions in the landscape of artificial ıntelligence in education. In: 2021 International conference on computational ıntelligence and computing applications (ICCICA). IEEE, pp 1–8. https://doi.org/10.1109/ICCICA52458.2021.9697272
Alam A (2022) Employing adaptive learning and intelligent tutoring robots for virtual classrooms and smart campuses: Reforming education in the age of artificial intelligence. In: Shaw RN, Das S, Piuri V, Bianchini M (eds) Advanced computing and intelligent technologies. Lecture notes in electrical engineering, vol 914. Springer, Singapore
Alam A (2020) Challenges and possibilities in teaching and learning of calculus: a case study of India. J Educ Gifted Young Sci 8(1):407–433. https://doi.org/10.17478/jegys.660201
Alam, A. (2022). A Digital Game based Learning Approach for Effective Curriculum Transaction for Teaching-Learning of Artificial Intelligence and Machine Learning. In 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS) (pp. 69-74). IEEE.
Alam A (2020) Pedagogy of calculus in India: an empirical ınvestigation. Periódico Tchê Química 17(34):164–180. https://doi.org/10.52571/PTQ.v17.n34.2020.181_P34_pgs_164_180.pdf
Ramírez J, Soto D, López S, Akroyd J, Nurkowski D, Botero ML, Molina A (2020) A virtual laboratory to support chemical reaction engineering courses using real-life problems and industrial software. Educ Chem Eng 33:36–44
Alam A (2020) Possibilities and challenges of compounding artificial intelligence in India’s educational landscape. Int J Adv Sci Technol 29(5):5077–5094. http://sersc.org/journals/index.php/IJAST/article/view/13910
Tobarra L, Robles-Gomez A, Pastor R, Hernandez R, Duque A, Cano J (2020) Students’ acceptance and tracking of a new container-based virtual laboratory. Appl Sci 10(3):1091
Alam A (2020) Test of knowledge of elementary vectors concepts (TKEVC) among first-semester bachelor of engineering and technology students. Periódico Tchê Química 17(35):477–494. https://doi.org/10.52571/PTQ.v17.n35.2020.41_ALAM_pgs_477_494.pdf
Alam A (2022) Social robots in education for long-term human-robot interaction: socially supportive behaviour of robotic tutor for creating robo-tangible learning environment in a guided discovery learning interaction. ECS Trans 107(1):12389
Hao C, Zheng A, Wang Y, Jiang B (2021) Experiment information system based on an online virtual laboratory. Fut Internet 13(2):27
Alam A (2021) Should robots replace teachers? Mobilisation of AI and learning analytics in education. In: 2021 International conference on advances in computing, communication, and control (ICAC3). IEEE, pp 1–12. https://doi.org/10.1109/ICAC353642.2021.9697300
Alam A (2023) Cloud-based e-learning: scaffolding the environment for adaptive e-learning ecosystem based on cloud computing infrastructure. In: Satapathy SC, Lin JCW, Wee LK, Bhateja V, Rajesh TM (eds) Computer communication, networking and IoT. Lecture notes in networks and systems, vol 459. Springer, Singapore
Alam A (2022) Cloud-based e-Learning: development of conceptual model for adaptive e-Learning ecosystem based on cloud computing infrastructure. In: Kumar A, Fister Jr I, Gupta PK, Debayle J, Zhang ZJ, Usman M (eds) Artificial intelligence and data science. ICAIDS 2021. Communications in computer and information science, vol 1673. Springer, Cham
Seifan M, Robertson N, Berenjian A (2020) Use of virtual learning to increase key laboratory skills and essential non-cognitive characteristics. Educ Chem Eng 33:66–75
Solak S, Yakut Ö, Dogru Bolat E (2020) Design and implementation of web-based virtual mobile robot laboratory for engineering education. Symmetry 12(6):906
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Alam, A., Mohanty, A. (2023). Design, Development, and Implementation of Software Engineering Virtual Laboratory: A Boon to Computer Science and Engineering (CSE) Education During Covid-19 Pandemic. In: Shakya, S., Balas, V.E., Haoxiang, W. (eds) Proceedings of Third International Conference on Sustainable Expert Systems . Lecture Notes in Networks and Systems, vol 587. Springer, Singapore. https://doi.org/10.1007/978-981-19-7874-6_1
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