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STEM Education

2023, Volume 3, Issue 4: 331-349. doi: 10.3934/steme.2023020
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Research article

A ranking comparison of the traditional, online and mixed laboratory mode learning objectives in engineering: Uncovering different priorities

  • 1.
    University of Wollongong
  • 2.
    University of New South Wales
  • 3.
    University of the Sunshine Coast
  • 4.
    Curtin University
  • 5.
    University of Western Australia
  • 6.
    University of Technology Sydney
  • 7.
    Western Sydney University
  • 8.
    University of Tasmania

  • Academic Editor: Med Amine Laribi
  • Received: 13 September 2023 Revised: 29 November 2023 Accepted: 05 December 2023 Published: 28 December 2023

  • The laboratory, an integral component of engineering education, can be conducted via traditional, online or mixed modes. Within these modes is a diverse range of implementation formats, each with different strengths and weaknesses. Empirical evidence investigating laboratory learning is rather scattered, with objectives measurement focused on the innovation in question (e.g., new simulation or experiment). Recently, a clearer picture of the most important laboratory learning objectives has formed. Missing is an understanding of whether academics implementing laboratories across different modes think about learning objectives differently. Using a survey based on the Laboratory Learning Objectives Measurement instrument, academics from a diverse range of engineering disciplines from across the world undertook a ranking exercise. The findings show that those implementing traditional and mixed laboratories align closely in their ranking choices, while those implementing online-only laboratories think about the objectives slightly differently. These findings provide an opportunity for reflection, enabling engineering educators to refine the alignment of their teaching modes, implementations and assessments with their intended learning objectives.

    Citation: Sasha Nikolic, Sarah Grundy, Rezwanul Haque, Sulakshana Lal, Ghulam M. Hassan, Scott Daniel, Marina Belkina, Sarah Lyden, Thomas F. Suesse. A ranking comparison of the traditional, online and mixed laboratory mode learning objectives in engineering: Uncovering different priorities[J]. STEM Education, 2023, 3(4): 331-349. doi: 10.3934/steme.2023020

    Related Papers:

  • The laboratory, an integral component of engineering education, can be conducted via traditional, online or mixed modes. Within these modes is a diverse range of implementation formats, each with different strengths and weaknesses. Empirical evidence investigating laboratory learning is rather scattered, with objectives measurement focused on the innovation in question (e.g., new simulation or experiment). Recently, a clearer picture of the most important laboratory learning objectives has formed. Missing is an understanding of whether academics implementing laboratories across different modes think about learning objectives differently. Using a survey based on the Laboratory Learning Objectives Measurement instrument, academics from a diverse range of engineering disciplines from across the world undertook a ranking exercise. The findings show that those implementing traditional and mixed laboratories align closely in their ranking choices, while those implementing online-only laboratories think about the objectives slightly differently. These findings provide an opportunity for reflection, enabling engineering educators to refine the alignment of their teaching modes, implementations and assessments with their intended learning objectives.


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    [1] Danković, D., Marjanović, M., Mitrović, N., Živanović, E., Danković, M., Prijić, A., et al., The Importance of Students' Practical Work in High Schools for Higher Education in Electronic Engineering. IEEE Transactions on Education, 2023, 66(2): 146–155. https://doi.org/10.1109/TE.2022.3202629 doi: 10.1109/TE.2022.3202629
    [2] Feisel, L.D. and Rosa, A.J., The Role of the Laboratory in Undergraduate Engineering Education. Journal of Engineering Education, 2005, 94(1): 121–130. https://doi.org/10.1002/j.2168-9830.2005.tb00833.x doi: 10.1002/j.2168-9830.2005.tb00833.x
    [3] Méndez Ruiz, J. and Valverde Armas, P., Designing a drinking water treatment experiment as a virtual lab to support engineering education during the COVID-19 outbreak. Cogent Engineering, 2022, 9(1): 2132648. https://doi.org/10.1080/23311916.2022.2132648 doi: 10.1080/23311916.2022.2132648
    [4] May, D., Morkos, B., Jackson, A., Beyette, F.R., Hunsu, N., Walther, J., et al., Switching from Hands-on Labs to Exclusively Online Experimentation in Electrical and Computer Engineering Courses. 2021 ASEE Virtual Annual Conference, 2021.
    [5] May, D., Alves, G.R., Kist, A.A. and Zvacek, S.M., Online Laboratories in Engineering Education Research and Practice. International Handbook of Engineering Education Research, 2023,525–552. https://doi.org/10.4324/9781003287483-29 doi: 10.4324/9781003287483-29
    [6] May, D., Terkowsky, C., Varney, V. and Boehringer, D., Between hands-on experiments and Cross Reality learning environments – contemporary educational approaches in instructional laboratories. European Journal of Engineering Education, 2023, 48(5): 783–801. https://doi.org/10.1080/03043797.2023.2248819 doi: 10.1080/03043797.2023.2248819
    [7] Ma, J. and Nickerson, J.V., Hands-on, simulated, and remote laboratories: A comparative literature review. ACM Computing Surveys (CSUR), 2006, 38(3): 7-es.
    [8] Stefanovic, M., Tadic, D., Nestic, S. and Djordjevic, A., An assessment of distance learning laboratory objectives for control engineering education. Computer Applications in Engineering Education, 2015, 23(2): 191–202. https://doi.org/10.1002/cae.21589 doi: 10.1002/cae.21589
    [9] May, D., Morkos, B., Jackson, A., Hunsu, N.J., Ingalls, A. and Beyette, F., Rapid transition of traditionally hands-on labs to online instruction in engineering courses. European Journal of Engineering Education, 2023, 48(5): 842–860. https://doi.org/10.1080/03043797.2022.2046707 doi: 10.1080/03043797.2022.2046707
    [10] Kruger, K., Wolff, K. and Cairncross, K., Real, virtual, or simulated: Approaches to emergency remote learning in engineering. Computer Applications in Engineering Education, 2022, 30(1): 93–105.
    [11] Campbell, J.O., Bourne, J.R., Mosterman, P.J. and Brodersen, A.J., The Effectiveness of Learning Simulations for Electronic Laboratories. Journal of Engineering Education, 2002, 91(1): 81–87. https://doi.org/10.1002/j.2168-9830.2002.tb00675.x doi: 10.1002/j.2168-9830.2002.tb00675.x
    [12] Gamo, J., Assessing a Virtual Laboratory in Optics as a Complement to On-Site Teaching. IEEE Transactions on Education, 2019, 62(2): 119–126. https://doi.org/10.1109/TE.2018.2871617 doi: 10.1109/TE.2018.2871617
    [13] Lindsay, E.D. and Good, M.C., Effects of laboratory access modes upon learning outcomes. IEEE Transactions on Education, 2005, 48(4): 619–631. https://doi.org/10.1109/TE.2005.852591 doi: 10.1109/TE.2005.852591
    [14] Balakrishnan, B. and Woods, P.C., A comparative study on real lab and simulation lab in communication engineering from students' perspectives. European Journal of Engineering Education, 2013, 38(2): 159–171. https://doi.org/10.1080/03043797.2012.755499 doi: 10.1080/03043797.2012.755499
    [15] Singh, G., Mantri, A., Sharma, O. and Kaur, R., Virtual reality learning environment for enhancing electronics engineering laboratory experience. Computer Applications in Engineering Education, 2021, 29(1): 229–243.
    [16] Ogot, M., Elliott, G. and Glumac, N., An Assessment of In-Person and Remotely Operated Laboratories. Journal of Engineering Education, 2003, 92(1): 57–64. https://doi.org/10.1002/j.2168-9830.2003.tb00738.x doi: 10.1002/j.2168-9830.2003.tb00738.x
    [17] Nikolic, S., Ros, M., Jovanovic, K. and Stanisavljevic, Z., Remote, Simulation or Traditional Engineering Teaching Laboratory: A Systematic Literature Review of Assessment Implementations to Measure Student Achievement or Learning. European Journal of Engineering Education, 2021, 46(6): 1141–1162. https://doi.org/10.1080/03043797.2021.1990864 doi: 10.1080/03043797.2021.1990864
    [18] Nikolic, S., Suesse, T., Jovanovic, K. and Stanisavljevic, Z., Laboratory Learning Objectives Measurement: Relationships Between Student Evaluation Scores and Perceived Learning. IEEE Transactions on Education, 2021, 64(2): 163–171. https://doi.org/10.1109/TE.2020.3022666 doi: 10.1109/TE.2020.3022666
    [19] Nikolic, S., Suesse, T.F., Grundy, S., Haque, R., Lyden, S., Hassan, G.M., et al., Laboratory learning objectives: ranking objectives across the cognitive, psychomotor and affective domains within engineering. European Journal of Engineering Education, 2023, 48(4): 559–614. https://doi.org/10.1080/03043797.2023.2248042 doi: 10.1080/03043797.2023.2248042
    [20] Nikolic, S., Suesse, T., Grundy, S., Haque, R., Lyden, S., Hassan, G.M., et al., A European vs Australasian Comparison of Engineering Laboratory Learning Objectives Rankings. SEFI 50th Annual Conference. European Society for Engineering Education (SEFI), 2023.
    [21] Nikolic, S., Suesse, T., Haque, R., Hassan, G., Lyden, S., Grundy, S., et al., An Australian University Comparison of Engineering Laboratory Learning Objectives Rankings. 33rd Australasian Association for Engineering Education Conference, 2022, 45–53.
    [22] Nightingale, S., Carew, A.L. and Fung, J., Application of constructive alignment principles to engineering education: have we really changed? AaeE Conference, 2007. Melbourne.
    [23] Krathwohl, D.R., A Revision of Bloom's Taxonomy: An Overview. Theory Into Practice, 2002, 41(4): 212–218.
    [24] Steger, F., Nitsche, A., Arbesmeier, A., Brade, K.D., Schweiger, H.G. and Belski, I., Teaching Battery Basics in Laboratories: Hands-On Versus Simulated Experiments. IEEE Transactions on Education, 2020, 63(3): 198–208.
    [25] Salehi, F., Mohammadpour, J., Abbassi, R., Cheng, S., Diasinos, S. and Eaton, R., Developing an Interactive Digital Reality Module for Simulating Physical Laboratories in Fluid Mechanics. Australasian Journal of Engineering Education, 2022, 27(2): 100–114. https://doi.org/10.1080/22054952.2022.2162673 doi: 10.1080/22054952.2022.2162673
    [26] Sriadhi, S., Sitompul, H., Restu, R., Khaerudin, S. and Wan Yahaya, W.A., Virtual-laboratory based learning to improve students' basic engineering competencies based on their spatial abilities. Computer Applications in Engineering Education, 2022, 30(6): 1857–1871.
    [27] Nikolic, S., Suesse, T.F., McCarthy, T.J. and Goldfinch, T.L., Maximising Resource Allocation in the Teaching Laboratory: Understanding Student Evaluations of Teaching Assistants in a Team Based Teaching Format. European Journal of Engineering Education, 2017, 42(6): 1277–1295. https://doi.org/10.1080/03043797.2017.1287666 doi: 10.1080/03043797.2017.1287666
    [28] Jackson, T., Shen, J., Nikolic, S. and Xia, G., Managerial factors that influence the success of knowledge management systems: A systematic literature review. Knowledge and Process Management, 2020, 27(2): 77–92. https://doi.org/10.1002/kpm.1622 doi: 10.1002/kpm.1622
    [29] Uzunidis, D. and Pagiatakis, G., Design and implementation of a virtual on-line lab on optical communications. European Journal of Engineering Education, 2023, 48(5): 913–928. https://doi.org/10.1080/03043797.2023.2173558 doi: 10.1080/03043797.2023.2173558
    [30] Memik, E. and Nikolic, S., The virtual reality electrical substation field trip: Exploring student perceptions and cognitive learning. STEM Education, 2021, 1(1): 47–59. https://doi.org/10.3934/steme.2021004 doi: 10.3934/steme.2021004
    [31] Coleman, P. and Hosein, A., Using voluntary laboratory simulations as preparatory tasks to improve conceptual knowledge and engagement. European Journal of Engineering Education, 2023, 48(5): 899–912. https://doi.org/10.1080/03043797.2022.2160969 doi: 10.1080/03043797.2022.2160969
    [32] Kollöffel, B. and de Jong, T., Conceptual Understanding of Electrical Circuits in Secondary Vocational Engineering Education: Combining Traditional Instruction with Inquiry Learning in a Virtual Lab. Journal of Engineering Education, 2013,102(3): 375–393.
    [33] Nikolic, S., Suesse, T.F., Goldfinch, T. and McCarthy, T.J., Relationship between Learning in the Engineering Laboratory and Student Evaluations. Australasian Association for Engineering Education Annual Conference, 2015.
    [34] Cai, R. and Chiang, F.-K., A laser-cutting-centered STEM course for improving engineering problem-solving skills of high school students in China. STEM Education, 2021, 1(3): 199–224. https://doi.org/10.3934/steme.2021015 doi: 10.3934/steme.2021015
    [35] Vojinovic, O., Simic, V., Milentijevic, I. and Ciric, V., Tiered Assignments in Lab Programming Sessions: Exploring Objective Effects on Students' Motivation and Performance. IEEE Transactions on Education, 2020, 63(3): 164–172. https://doi.org/10.1109/TE.2019.2961647 doi: 10.1109/TE.2019.2961647
    [36] Vial, P.J., Nikolic, S., Ros, M., Stirling, D. and Doulai, P., Using Online and Multimedia Resources to Enhance the Student Learning Experience in a Telecommunications Laboratory within an Australian University. Australasian Journal of Engineering Education, 2015, 20(1): 71–80. http://dx.doi.org/10.7158/D13-006.2015.20.1 doi: 10.7158/D13-006.2015.20.1
    [37] Tang, H., Arslan, O., Xing, W. and Kamali-Arslantas, T., Exploring collaborative problem solving in virtual laboratories: a perspective of socially shared metacognition. Journal of Computing in Higher Education, 2023, 35(2): 296–319. https://doi.org/10.1007/s12528-022-09318-1 doi: 10.1007/s12528-022-09318-1
    [38] Romdhane, L. and Jaradat, M.A., Interactive MATLAB based project learning in a robotics course: Challenges and achievements. STEM Education, 2021, 1(1): 32–46. https://doi.org/10.3934/steme.2021003 doi: 10.3934/steme.2021003
    [39] Wahab, N.A.A., Aqila, N.A., Isa, N., Husin, N.I., Zin, A.M., Mokhtar, M., et al., A Systematic Review on Hazard Identification, Risk Assessment and Risk Control in Academic Laboratory. Journal of Advanced Research in Applied Sciences and Engineering Technology, 2021, 24(1): 47–62. https://doi.org/10.37934/araset.24.1.4762 doi: 10.37934/araset.24.1.4762
    [40] Pedram, S., Palmisano, S., Skarbez, R., Perez, P. and Farrelly, M., Investigating the process of mine rescuers' safety training with immersive virtual reality: A structural equation modelling approach. Computers & Education, 2020,153: 103891. https://doi.org/10.1016/j.compedu.2020.103891 doi: 10.1016/j.compedu.2020.103891
    [41] Pedram, S., Palmisano, S., Miellet, S., Farrelly, M. and Perez, P., Influence of age and industry experience on learning experiences and outcomes in virtual reality mines rescue training. Frontiers in Virtual Reality, 2022, 3: 941225. https://doi.org/10.3389/frvir.2022.941225 doi: 10.3389/frvir.2022.941225
    [42] Nikolic, S., Training laboratory: Using online resources to enhance the laboratory learning experience. Teaching, Assessment and Learning (TALE), 2014 International Conference on, 2014. IEEE. https://doi.org/10.1109/TALE.2014.7062584
    [43] Marks, B. and Thomas, J., Adoption of virtual reality technology in higher education: An evaluation of five teaching semesters in a purpose-designed laboratory. Education and information technologies, 2022, 27(1): 1287–1305. https://doi.org/10.1007/s10639-021-10653-6 doi: 10.1007/s10639-021-10653-6
    [44] Carbone, G., Curcio, E.M., Rodinò, S. and Lago, F., A Robot-Sumo student competition at UNICAL as a learning-by-doing strategy for STEM education. STEM Education, 2022, 2(3): 262–274. https://doi.org/10.3934/steme.2022016 doi: 10.3934/steme.2022016
    [45] Gwynne-Evans, A.J., Chetty, M. and Junaid, S., Repositioning ethics at the heart of engineering graduate attributes. Australasian Journal of Engineering Education, 2021, 26(1): 7–24. https://doi.org/10.1080/22054952.2021.1913882 doi: 10.1080/22054952.2021.1913882
    [46] Nikolic, S., Daniel, S., Haque, R., Belkina, M., Hassan, G.M., Grundy, S., et al., ChatGPT versus Engineering Education Assessment: A Multidisciplinary and Multi-institutional Benchmarking and Analysis of this Generative Artificial Intelligence Tool to Investigate Assessment Integrity. European Journal of Engineering Education, 2023, 48(4): 559–614. https://doi.org/10.1080/03043797.2023.2213169 doi: 10.1080/03043797.2023.2213169
  • Author's biography Sasha Nikolic received a B.E. degree in telecommunications and a PhD in engineering education from the University of Wollongong, Australia, in 2001 and 2017, respectively. He is a Senior Lecturer of Engineering Education at the University of Wollongong. His interest is developing career-ready graduates involving research in teaching laboratories, artificial intelligence, industry engagement, work-integrated learning, knowledge management, communication, and reflection. Dr Nikolic has been recognised with many awards, including an Australian Award for University Teaching Citation in 2012 and 2019, and a 2023 AAEE Engineering Education Research Design Award. He is a member of the executive committee of AAEE and an Associate Editor for AJEE and EJEE; Sarah Grundy is an education-focused lecturer at the School of Chemical Engineering, The University of New South Wales. Sarah predominantly teaches design subjects at all levels (undergraduate to postgraduate). Sarah has over 15 years of experience in Research & Development, Manufacturing, and project management in industry. Sarah's passion is to develop students to be credible engineers and make their impact in whatever industry through authentic learning practices; Dr. Rezwanul Haque is a Senior Lecturer specialising in Manufacturing Technology at the University of the Sunshine Coast. As an inaugural member of the AAEE Academy, he has contributed significantly to the academic community. In 2019, Dr. Haque served as an Academic Lead at the School of Science and Technology, overseeing the launch of two new Engineering programs and reviewing existing ones. His dedication to learning and teaching earned him the prestigious Senior Fellow status at the Higher Education Academy (UK) in the same year. His research focuses on Engineering Education and material characterisation through neutron diffraction; Sulakshana Lal has a PhD in Engineering Education from Curtin University, Perth, WA, Australia. Her research focused on comparing the learning and teaching processes of face-to-face and remotely-operated engineering laboratories. With a keen interest in the intersection of technology and education, Sulakshana has published several articles in reputable journals and also presented her work at national and international engineering education conferences. Her expertise lies in understanding the nuances of different laboratories pedagogical settings and harnessing technology to enhance laboratory learning outcomes. Sulakshana is passionate about sharing her knowledge and helping educators and students navigate the evolving landscape of engineering education; Dr. Ghulam M. Hassan is Senior Lecturer in Department of Computer Science and Software Engineering at The University of Western Australia (UWA). He received his PhD from UWA. He completed MS and BS from Oklahoma State University, USA and University of Engineering and Technology (UET) Peshawar, Pakistan, respectively. His research interests are multidisciplinary problems, including engineering education, artificial intelligence, machine learning and optimisation in different fields of engineering and education. He is the recipient of multiple teaching excellence awards and is awarded AAEE Engineering Education Research Design Award 2021 & 2023; Scott Daniel is a Senior Lecturer in Humanitarian Engineering at the University of Technology Sydney, and serves as Deputy Editor at the Australasian Journal of Engineering Education and on the Editorial Boards of the European Journal of Engineering Education, the African Journal of Teacher Education and Development, and the Journal of Humanitarian Engineering. Scott uses qualitative methodologies to explore different facets of engineering education, particularly humanitarian engineering. He won the 2019 Australasian Association for Engineering Education Award for Research Design for his work with Andrea Mazzurco on the assessment of socio-technical thinking and co-design expertise in humanitarian engineering; Dr. Marina Belkina is Lecturer and First Year Experience Coordinator at Western Sydney University. She has taught various subjects and courses (Foundation, Diploma, first and second years of Bachelor's Degree, online Associate Degree). She has implemented numerous projects to support learning, including: Creating the YouTube channel Engineering by Steps, Leading the development of HD videos for the first-year engineering courses, Developing iBook for physics, creating 3D lectures and aminations for Engineering Materials, and conducting research focused on exploring student's barriers to Higher Education; Sarah Lyden completed her BSc-BE (Hons) at the University of Tasmania in 2011. From 2012 to 2015 she was a PhD candidate with the School of Engineering and ICT at the University of Tasmania. From March 2015 to February 2018 Sarah was employed as the API Lecturer in the field of power systems and renewable energy. Since 2018, Sarah has been employed as Lecturer in the School of Engineering. Sarah has been a member of the School of Engineering and ICT's STEM education and outreach team; Dr. Thomas F. Suesse completed his MSc (Dipl-Math) degree in mathematics at the Friedrich-Schiller-University (FSU) of Jena, Germany, in 2003. Dr Suesse then worked as a research fellow at the Institute of Medical Statistics, Informatics and Documentation (IMSID) and FSU. In 2005 he went to Victoria University of Wellington (VUW), New Zealand, to start his PhD in statistics and his degree was conferred with his thesis titled, 'Analysis and Diagnostics of Categorical Variables with Multiple Outcomes' in 2008. In 2009 Dr Suesse started working as a research fellow at the Centre for Statistical and Survey Methodology (CSSM) at the University of Wollongong. He was appointed as a lecturer at UOW in 2011 and promoted to senior lecturer in 2015. Currently he is at FSU on a research on a research fellowship
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