Impact of implementing project‐based assignment (PBA) in CDIO framework for computer numerical control application course

Abstract

Over the past decades, the development of engineering skills among students has been drastically reduced in Indian education. The students need to develop not only knowledge but also the necessary skills to survive in fastgrowing technology. Particularly in industry-related automation courses, the fourth industrial revolution (Industry 4.0) adds to the necessity of building engineering skills at a higher level. It is well observed from various educational studies that engineering skills with higher cognitive ability can be developed with problem-based learning (PBL). The curriculum has to be designed in such a way that it provides a flexible framework for PBL. As the current assessment system has written exams as a major element of evaluation, PBL can be incorporated into practice in the form of hands-on problem-based assignments (PBA) that are evaluated periodically. This study proposes the exercising of PBL as PBA to validate K4 (Analyze) and K5 (Evaluate) cognitive levels according to Bloom's cognitive domain. The proposed case study discusses the impact of project-based assignment (PBA) in two different approaches in the curriculum of Mechatronics Engineering.The first approach follows Outcome Based Education with Choice Based Credit System (OBE-CBCS approach) and the second approach has an additional Conceive Design Implement and Operate framework to it (OBE-CBCS-CDIO approach). The continuous assessment and assignment methods vary with different education curriculum systems. This study presents the impact study of the PBA activity in a Mechatronics course, "Computer Numerical Control (CNC) Application" in 2 consecutive years with two different curriculum frameworks. The results show that the OBE-CBCS-CDIO framework students outperform the OBE-CBCS students in acquiring higher-order thinking skills.

Implementation of an Industrial Automation Remote Lab (IARL) and validation using a deep learning approach during the COVID pandemic

“…, where Vac(x, y) is covariance between u and v and δ u and δ v are standard deviations [10]. According to the correlation table, the students in the remote laboratory batch for 2020-2021 have a greater correlation that is almost 1.…”

“…The outcomes of the virtual and remote lab exams that students enrolled in the online curricula for 2019–2020 and 2020–2021 are displayed in Table 6. The coefficient of correlation using Karl Pearson's analysis is $$\rho =\frac{{Vac}(u,v)}{{\delta }_{u}{\delta }_{v}}$$, where Vac( x , y ) is covariance between u and v and $${\delta }_{u}$$ and $${\delta }_{v}$$ are standard deviations [10]. According to the correlation table, the students in the remote laboratory batch for 2020–2021 have a greater correlation that is almost 1.…”

“…Automation courses have provided new opportunities for students to learn skills for Industry 4.0 in the modern era. Thus, understanding cloud computing, the IoT, and smart digital manufacturing enabled engineering students to find employment in Core sectors with ease, as proposed by Julius Fusic [10]. In the undergraduate curriculum, the laboratory handson courses play an important role in the student's career to relate the theoretical course content to psychomotor activities in the collaborative environment in Kozminski [13].…”

Social informatics and CDIO: revolutionizing technological education

“…Undoubtedly, CDIO programs exhibit considerable potential in engineering education [30]. However, it is imperative to acknowledge and address certain crucial factors that warrant further investigation in future research endeavors.…”

Design a Data Analytics Training System to Explore Behavioral Intention and Immersion for Internal Enterprise Education

“…CDIO has been applied in various research areas, such as engineering education (Martin & Wackerlin, 2016), geology (De León, 2014)、mass communication (Tangkijviwat et al, 2018), and architectural education (Nyka et al, 2020). In addition, the CDIO teaching model can be integrated into learning activities to enhance high-order thinking, Julius Fusic et al (2022) designed an experiment to verify whether the CDIO model can achieve analytical and evaluation cognitive levels in mechatronics engineering learning activities. The results showed that students using the CDIO framework are better than other students at acquiring higher-order thinking skills.…”