Preparative pre-laboratory online resources for effectively managing cognitive load of engineering students

References

• Abeysekera, Lakmal, and Phillip Dawson. 2015. “Motivation and Cognitive Load in the Flipped Classroom: Definition, Rationale and a Call for Research.” Higher Education Research & Development 34 (1): 1–14. doi:10.1080/07294360.2014.934336.
   Web of Science ®Google Scholar
• Ahern, Aoife, Caroline Dominguez, Ciaran McNally, John J. O’Sullivan, and Daniela Pedrosa. 2019. “A Literature Review of Critical Thinking in Engineering Education.” Studies in Higher Education 44 (5): 816–828. doi:10.1080/03075079.2019.1586325.
   Web of Science ®Google Scholar
• Akçayır, Gökçe, and Murat Akçayır. 2018. “The Flipped Classroom: A Review of Its Advantages and Challenges.” Computers & Education 126: 334–345. doi:10.1016/j.compedu.2018.07.021.
   Web of Science ®Google Scholar
• Akkaraju, Shylaja. 2016. “The Role of Flipped Learning in Managing the Cognitive Load of a Threshold Concept in Physiology.” Journal of Effective Teaching 16 (3): 28–43. https://eric.ed.gov/?id=EJ1125897.
   Google Scholar
• ANSYS. 2020. “Ansys® Fluent, Release 19.0”.
   Google Scholar
• Ashaver, Doosuur, and Sandra Mwuese Igyuve. 2013. “The Use of Audio-Visual Materials in the Teaching and Learning Processes in Colleges of Education in Benue State-Nigeria.” IOSR Journal of Research & Method in Education 1 (6): 44–55. http://www.iosrjournals.org/iosr-jrme/papers/Vol-1%20Issue-6/G0164455.pdf.
   Google Scholar
• Baker, Tony. 2005. “Chemistry: Laboratory Science or Not?” Chemistry in Australia 72 (3): 12–13. doi:10.2555/0314-4240.72.3.1641.
   Google Scholar
• Barrie, Simon C., Robert B. Bucat, Mark A. Buntine, Karen Burke da Silva, Geoffrey T. Crisp, Adrian V. George, Ian M. Jamie, et al. 2015. “Development, Evaluation and Use of a Student Experience Survey in Undergraduate Science Laboratories: The Advancing Science by Enhancing Learning in the Laboratory Student Laboratory Learning Experience Survey.” International Journal of Science Education 37 (11): 1795–1814. doi:10.1080/09500693.2015.1052585.
   Web of Science ®Google Scholar
• Basey, John M., Anastasia P. Maines, Clinton D. Francis, Brett Melbourne, Sarah B. Wise, Rebecca J. Safran, and Pieter T. J. Johnson. 2014. “Impact of Pre-Lab Learning Activities, a Post-Lab Written Report, and Content Reduction on Evolution-Based Learning in an Undergraduate Plant Biodiversity Lab.” Evolution: Education and Outreach 7 (1): 10. doi:10.1186/s12052-014-0010-7.
   Google Scholar
• Blackboard. 2020. “QUT Blackboard”.
   Google Scholar
• Bortnik, Boris, Natalia Stozhko, Irina Pervukhina, Albina Tchernysheva, and Galina Belysheva. 2017. “Effect of Virtual Analytical Chemistry Laboratory on Enhancing Student Research Skills and Practices.” Research in Learning Technology 25. doi:10.25304/rlt.v25.1968.
   Google Scholar
• Box, Melinda C., Cathi L. Dunnagan, Lauren A. S. Hirsh, Clinton R. Cherry, Kayla A. Christianson, Radiance J. Gibson, Michael I. Wolfe, and Maria T. Gallardo-Williams. 2017. “Qualitative and Quantitative Evaluation of Three Types of Student-Generated Videos as Instructional Support in Organic Chemistry Laboratories.” Journal of Chemical Education 94 (2): 164–170. doi:10.1021/acs.jchemed.6b00451.
   Web of Science ®Google Scholar
• Braun, Virginia, and Victoria Clarke. 2006. “Using Thematic Analysis in Psychology.” Qualitative Research in Psychology 3 (2): 77–101. doi:10.1191/1478088706qp063oa.
   Google Scholar
• Bruen, Jennifer, and Niamh Kelly. 2017. “Using a Shared L1 to Reduce Cognitive Overload and Anxiety Levels in the L2 Classroom.” The Language Learning Journal 45 (3): 368–381. doi:10.1080/09571736.2014.908405.
   Web of Science ®Google Scholar
• Buchner, Josef, Katja Buntins, and Michael Kerres. 2021. “A Systematic Map of Research Characteristics in Studies on Augmented Reality and Cognitive Load.” Computers and Education Open 2: 100036. doi:10.1016/j.caeo.2021.100036.
   Google Scholar
• Cann, Alan J. 2016. “Increasing Student Engagement with Practical Classes Through Online Pre-Lab Quizzes.” Journal of Biological Education 50 (1): 101–112. doi:10.1080/00219266.2014.986182.
   Web of Science ®Google Scholar
• Chaytor, Jennifer L., Mohammad Al Mughalaq, and Hailee Butler. 2017. “Development and Use of Online Prelaboratory Activities in Organic Chemistry to Improve Students’ Laboratory Experience.” Journal of Chemical Education 94 (7): 859–866. doi:10.1021/acs.jchemed.6b00850.
   Web of Science ®Google Scholar
• Cook, Brian Robert, and Andrea Babon. 2017. “Active Learning Through Online Quizzes: Better Learning and Less (Busy) Work.” Journal of Geography in Higher Education 41 (1): 24–38. doi:10.1080/03098265.2016.1185772.
   Web of Science ®Google Scholar
• Deane, Andrew, Rebecca Wisner, and Jessica Byram. 2021. “Viewing Pre-Lab Gross Anatomy Demonstration Videos Correlates Positively with Student Performance When Total Dissection Time is Limited by Covid-19 Restrictions.” The FASEB Journal 35 (S1). doi:10.1096/fasebj.2021.35.S1.03644.
   Google Scholar
• Dray, Barbara J., Patrick R. Lowenthal, Melissa J. Miszkiewicz, Maria Araceli Ruiz-Primo, and Kelly Marczynski. 2011. “Developing an Instrument to Assess Student Readiness for Online Learning: A Validation Study.” Distance Education 32 (1): 29–47. doi:10.1080/01587919.2011.565496.
   Web of Science ®Google Scholar
• Eisenhardt, Kathleen M. 1989. “Building Theories from Case Study Research.” Academy of Management Review 14 (4): 532–550. doi:10.5465/amr.1989.4308385.
   Web of Science ®Google Scholar
• Feisel, Lyle D., and Albert J. Rosa. 2005. “The Role of the Laboratory in Undergraduate Engineering Education.” Journal of Engineering Education 94 (1): 121–130. doi:10.1002/j.2168-9830.2005.tb00833.x.
   Web of Science ®Google Scholar
• Feldon, David F., Gregory Callan, Stephanie Juth, and Soojeong Jeong. 2019. “Cognitive Load as Motivational Cost.” Educational Psychology Review 31 (2): 319–337. doi:10.1007/s10648-019-09464-6.
   Web of Science ®Google Scholar
• Feldon, David F., Joana Franco, Jie Chao, James Peugh, and Cathy Maahs-Fladung. 2018. “Self-Efficacy Change Associated with a Cognitive Load-Based Intervention in an Undergraduate Biology Course.” Learning and Instruction 56: 64–72. doi:10.1016/j.learninstruc.2018.04.007.
   Web of Science ®Google Scholar
• Fitriani, E., M. Paristiowati, and B. Mukarromatunnisa. 2019. “Titration Pre-Lab Demonstration Videos in Basic Chemistry Laboratory Activity: Design and Development.” Journal of Physics: Conference Series 1402 (5): 055047. doi:10.1088/1742-6596/1402/5/055047.
   Google Scholar
• Gavas, Rahul D., Soumya Ranjan Tripathy, Debatri Chatterjee, and Aniruddha Sinha. 2018. “Cognitive Load and Metacognitive Confidence Extraction from Pupillary Response.” Cognitive Systems Research 52: 325–334. doi:10.1016/j.cogsys.2018.07.021.
   Web of Science ®Google Scholar
• Gerjets, Peter, Katharina Scheiter, and Gabriele Cierniak. 2009. “The Scientific Value of Cognitive Load Theory: A Research Agenda Based on the Structuralist View of Theories.” Educational Psychology Review 21 (1): 43–54. doi:10.1007/s10648-008-9096-1.
   Web of Science ®Google Scholar
• Gillie, Martin, Ranim Dahli, Fiona C. Saunders, and Andrew Gibson. 2017. “Use of Rich-Media Resources by Engineering Undergraduates.” European Journal of Engineering Education 42 (6): 1496–1511. doi:10.1080/03043797.2017.1306488.
   Web of Science ®Google Scholar
• Ginns, Paul, and Jimmie Leppink. 2019. “Special Issue on Cognitive Load Theory: Editorial.” Educational Psychology Review 31 (2): 255–259. doi:10.1007/s10648-019-09474-4.
   Web of Science ®Google Scholar
• Goedhart, N. S., N. Blignaut-van Westrhenen, C. Moser, and M. B. M. Zweekhorst. 2019. “The Flipped Classroom: Supporting a Diverse Group of Students in Their Learning.” Learning Environments Research 22 (2): 297–310. doi:10.1007/s10984-019-09281-2.
   Google Scholar
• Haagsman, Marjolein E., Margot C. Koster, Johannes Boonstra, and Karin Scager. 2021. “Be Prepared! How Pre-Lab Modules Affect Students’ Understanding of Gene Mapping.” Journal of Science Education and Technology 30 (4): 461–470. doi:10.1007/s10956-020-09890-0.
   Web of Science ®Google Scholar
• Habib, A. 2020. “Pre-Lab Assignment and Discussion to Enhance Students’ Benefit From Lab Sessions.” Paper presented at the 2020 Sixth International Conference on e-Learning (econf), 6–7 December 2020.
   Google Scholar
• Hart, Sandra G., and Lowell E. Staveland. 1988. “Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research.” In Advances in Psychology, edited by Peter A. Hancock, and Najmedin Meshkati, 139–183. North-Holland: Elsevier.
   Google Scholar
• Huang, Xiaoxia. 2017. “Example-based Learning: Effects of Different Types of Examples on Student Performance, Cognitive Load and Self-Efficacy in a Statistical Learning Task.” Interactive Learning Environments 25 (3): 283–294. doi:10.1080/10494820.2015.1121154.
   Web of Science ®Google Scholar
• Johnstone, A. H. 1997. “Chemistry Teaching-Science or Alchemy? 1996 Brasted Lecture.” Journal of Chemical Education 74 (3): 262. doi:10.1021/ed074p262.
   Web of Science ®Google Scholar
• Johnstone, A. H., R. J. Sleet, and J. F. Vianna. 1994. “An Information Processing Model of Learning: Its Application to an Undergraduate Laboratory Course in Chemistry.” Studies in Higher Education 19 (1): 77–87. doi:10.1080/03075079412331382163.
   Web of Science ®Google Scholar
• Jolley, Dianne F., Stephen R. Wilson, Celine Kelso, Glennys O’Brien, and Claire E. Mason. 2016. “Analytical Thinking, Analytical Action: Using Prelab Video Demonstrations and e-Quizzes to Improve Undergraduate Preparedness for Analytical Chemistry Practical Classes.” Journal of Chemical Education 93 (11): 1855–1862. doi:10.1021/acs.jchemed.6b00266.
   Web of Science ®Google Scholar
• Jones, Susan M, and Ashley Edwards. 2010. “Online Pre-Laboratory Exercises Enhance Student Preparedness for First Year Biology Practical Classes.” International Journal of Innovation in Science 18 (2): 1–9. https://openjournals.library.sydney.edu.au/CAL/article/view/4641.
   Google Scholar
• Josephsen, Jens, and Agnieszka Kosminska Kristensen. 2006. “Simulation of Laboratory Assignments to Support Students’ Learning of Introductory Inorganic Chemistry.” Chemistry Education Research and Practice 7 (4): 266–279. doi:10.1039/B6RP90013E.
   Google Scholar
• Khawaja, M. Asif, Gangadhara B. Prusty, Robin A. J. Ford, Nadine Marcus, and Carol Russell. 2013. “Can More Become Less? Effects of an Intensive Assessment Environment on Students’ Learning Performance.” European Journal of Engineering Education 38 (6): 631–651. doi:10.1080/03043797.2013.834295.
   Google Scholar
• Kirschner, Paul A., Paul Ayres, and Paul Chandler. 2011. “Contemporary Cognitive Load Theory Research: The Good, the Bad and the Ugly.” Computers in Human Behavior 27 (1): 99–105. doi:10.1016/j.chb.2010.06.025.
   Web of Science ®Google Scholar
• Kirschner, Paul A., John Sweller, and Richard E. Clark. 2006. “Why Minimal Guidance During Instruction Does Not Work: An Analysis of the Failure of Constructivist, Discovery, Problem-Based, Experiential, and Inquiry-Based Teaching.” Educational Psychologist 41 (2): 75–86. doi:10.1207/s15326985ep4102_1.
   Web of Science ®Google Scholar
• Klepsch, Melina, Florian Schmitz, and Tina Seufert. 2017. “Development and Validation of Two Instruments Measuring Intrinsic, Extraneous, and Germane Cognitive Load.” Frontiers in Psychology 8: 1997. doi:10.3389/fpsyg.2017.01997.
   PubMed Web of Science ®Google Scholar
• Lal, Sulakshana, Anthony D. Lucey, Euan D. Lindsay, David F. Treagust, John M. Long, Mauro Mocerino, and Marjan G. Zadnik. 2020. “Student Perceptions of Instruction Sheets in Face-to-Face and Remotely-Operated Engineering Laboratory Learning.” European Journal of Engineering Education 45 (4): 491–515. doi:10.1080/03043797.2019.1654433.
   Web of Science ®Google Scholar
• Lamichhane, R., and A. Maltese. 2019. “Enhancing Students’ Laboratory Experiences in Undergraduate Chemistry.” Technology Integration in Chemistry Education and Research (TICER), 83–106. American Chemical Society.
   Google Scholar
• Leppink, Jimmie, Fred Paas, Cees PM Van der Vleuten, Tamara Van Gog, and Jeroen JG Van Merriënboer. 2013. “Development of an Instrument for Measuring Different Types of Cognitive Load.” Behavior Research Methods 45: 1058–1072. doi:10.3758/s13428-013-0334-1.
   PubMed Web of Science ®Google Scholar
• Likourezos, Vicki, and Slava Kalyuga. 2017. “Instruction-First and Problem-Solving-First Approaches: Alternative Pathways to Learning Complex Tasks.” Instructional Science 45 (2): 195–219. doi:10.1007/s11251-016-9399-4.
   Web of Science ®Google Scholar
• Lombard, Matthew, Jennifer Snyder-Duch, and Cheryl Campanella Bracken. 2002. “Content Analysis in Mass Communication: Assessment and Reporting of Intercoder Reliability.” Human Communication Research 28 (4): 587–604. doi:10.1111/j.1468-2958.2002.tb00826.x.
   Web of Science ®Google Scholar
• Lucas, Bill, Guy Claxton, and Janet Hanson. 2014. Thinking Like an Engineer: Implications for the Education System.
   Google Scholar
• Martín-Blas, Teresa, Luis Seidel, and Ana Serrano-Fernández. 2010. “Enhancing Force Concept Inventory Diagnostics to Identify Dominant Misconceptions in First-Year Engineering Physics.” European Journal of Engineering Education 35 (6): 597–606. doi:10.1080/03043797.2010.497552.
   Google Scholar
• Microsoft-Corporation. 2020. “Microsoft Forms”.
   Google Scholar
• Midkiff, K Clark, Thomas A Litzinger, and D. L. Evans. 2001. “Development of Engineering Thermodynamics Concept Inventory Instruments.” Paper presented at the 31st Annual frontiers in education conference. Impact on Engineering and Science Education, Conference Proceedings (Cat. No. 01CH37193).
   Google Scholar
• Moos, Daniel C., and Debra Pitton. 2014. “Student Teacher Challenges: Using the Cognitive Load Theory as an Explanatory Lens.” Teaching Education 25 (2): 127–141. doi:10.1080/10476210.2012.754869.
   Google Scholar
• Novak, Joseph D. 1993. “Human Constructivism: A Unification of Psychological and Epistemological Phenomena in Meaning Making.” International Journal of Personal Construct Psychology 6 (2): 167–193. doi:10.1080/08936039308404338.
   Google Scholar
• Novak, Joseph D. 2010. Learning, Creating, and Using Knowledge: Concept Maps as Facilitative Tools in Schools and Corporations. New York: Routledge.
   Google Scholar
• O'Flaherty, Jacqueline, and Craig Phillips. 2015. “The Use of Flipped Classrooms in Higher Education: A Scoping Review.” The Internet and Higher Education 25: 85–95. doi:10.1016/j.iheduc.2015.02.002.
   Web of Science ®Google Scholar
• Paas, Fred, and Paul Ayres. 2014. “Cognitive Load Theory: A Broader View on the Role of Memory in Learning and Education.” Educational Psychology Review 26 (2): 191–195. doi:10.1007/s10648-014-9263-5.
   Web of Science ®Google Scholar
• Paas, Fred, Alexander Renkl, and John Sweller. 2003. “Cognitive Load Theory and Instructional Design: Recent Developments.” Educational Psychologist 38 (1): 1–4. doi:10.1207/S15326985EP3801_1.
   Web of Science ®Google Scholar
• Paas, Fred G. W. C., and Jeroen J. G. Van Merriënboer. 1993. “The Efficiency of Instructional Conditions: An Approach to Combine Mental Effort and Performance Measures.” Human Factors 35 (4): 737–743. doi:10.1177/001872089303500412.
   Web of Science ®Google Scholar
• Piaget, Jean. 1952. “The Origins of Intelligence in Children.” In The Origins of Intelligence in Children, edited by Margaret Cook, 25–36. New York, NY: W W Norton & Co.
   Google Scholar
• QSR-International. 2020. “NVivo”.
   Google Scholar
• Rahman, Ataur. 2017. “A Blended Learning Approach to Teach Fluid Mechanics in Engineering.” European Journal of Engineering Education 42 (3): 252–259. doi:10.1080/03043797.2016.1153044.
   Web of Science ®Google Scholar
• Ramsden, Jeremy. 2012. “The Differences Between Engineering and Science.” Measurement and Control 45 (5): 145–146. doi:10.1177/002029401204500503.
   Web of Science ®Google Scholar
• Reid, Norman, and Iqbal Shah. 2007. “The Role of Laboratory Work in University Chemistry.” Chemistry Education Research and Practice 8 (2): 172–185. doi:10.1039/B5RP90026C.
   Web of Science ®Google Scholar
• Rodgers, T. L., N. Cheema, S. Vasanth, A. Jamshed, A. Alfutimie, and P. J. Scully. 2020. “Developing Pre-Laboratory Videos for Enhancing Student Preparedness.” European Journal of Engineering Education 45 (2): 292–304. doi:10.1080/03043797.2019.1593322.
   Web of Science ®Google Scholar
• Seery, Michael K., Hendra Y. Agustian, Euan D. Doidge, Maciej M. Kucharski, Helen M. O’Connor, and Amy Price. 2017. “Developing Laboratory Skills by Incorporating Peer-Review and Digital Badges.” Chemistry Education Research and Practice 18 (3): 403–419. doi:10.1039/C7RP00003K.
   Web of Science ®Google Scholar
• Shelby, Shameka J., and Zachary D. Fralish. 2021. “Using Edpuzzle to Improve Student Experience and Performance in the Biochemistry Laboratory.” Biochemistry and Molecular Biology Education 49 (4): 529–534. doi:10.1002/bmb.21494.
   PubMed Web of Science ®Google Scholar
• Smallhorn, Masha. 2017. “The Flipped Classroom: A Learning Model to Increase Student Engagement Not Academic Achievement.” Student Success. doi:10.3316/informit.593366988343831.
   Google Scholar
• Sohrabi, Babak, and Hamideh Iraj. 2016. “Implementing Flipped Classroom Using Digital Media: A Comparison of Two Demographically Different Groups Perceptions.” Computers in Human Behavior 60: 514–524. doi:10.1016/j.chb.2016.02.056.
   Web of Science ®Google Scholar
• Stieff, Mike, Stephanie M. Werner, Bill Fink, and Dianne Meador. 2018. “Online Prelaboratory Videos Improve Student Performance in the General Chemistry Laboratory.” Journal of Chemical Education 95 (8): 1260–1266. doi:10.1021/acs.jchemed.8b00109.
   Web of Science ®Google Scholar
• Sweller, John, Jeroen J. G. Van Merrienboer, and Fred G. W. C. Paas. 1998. “Cognitive Architecture and Instructional Design.” Educational Psychology Review 10 (3): 251–296. doi:10.1023/a:1022193728205.
   Web of Science ®Google Scholar
• Teigen, Karl Halvor. 1994. “Yerkes-Dodson: A Law for All Seasons.” Theory & Psychology 4 (4): 525–547. doi:10.1177/0959354394044004.
   Web of Science ®Google Scholar
• Thees, Michael, Sebastian Kapp, Kristin Altmeyer, Sarah Malone, Roland Brünken, and Jochen Kuhn. 2021. “Comparing Two Subjective Rating Scales Assessing Cognitive Load During Technology-Enhanced STEM Laboratory Courses.” Frontiers in Education 6: 1–16. doi:10.3389/feduc.2021.705551.
   Google Scholar
• Tran, L. Q., Y. Sun, R. Guan, J. Saeed, L. Wang, and P. J. Radcliffe. 2019. “Development and Outcomes of Teaching PID Control in Classroom with Hands on Learning Experience.” Paper Presented at the 2019 IEEE International Conference on Industrial Technology (ICIT), 13–15 February.
   Google Scholar
• Tune, Johnathan D., Michael Sturek, and David P. Basile. 2013. “Flipped Classroom Model Improves Graduate Student Performance in Cardiovascular, Respiratory, and Renal Physiology.” Advances in Physiology Education 37 (4): 316–320. doi:10.1152/advan.00091.2013.
   PubMed Web of Science ®Google Scholar
• Ulloa Salazar, Gemalli, and Claudio Díaz Larenas. 2018. “Using an Audiovisual Materials-Based Teaching Strategy to Improve EFL Young Learners’ Understanding of Instructions.” How 25 (2): 91–112. doi:10.19183/how.25.2.419.
   Google Scholar
• van Gog, Tamara, and Fred Paas. 2008. “Instructional Efficiency: Revisiting the Original Construct in Educational Research.” Educational Psychologist 43 (1): 16–26. doi:10.1080/00461520701756248.
   Web of Science ®Google Scholar
• van Raalte, Lisa, and Rachel Boulay. 2013. “Designing and Evaluating a Scientific Training Program and Virtual Learning Materials.” The International Journal of Design Education 7 (2): 1–10. doi:10.18848/2325-128x/cgp/v07i02/38439.
   PubMedGoogle Scholar
• Winberg, T. Mikael, and C. Anders R. Berg. 2007. “Students’ Cognitive Focus During a Chemistry Laboratory Exercise: Effects of a Computer-Simulated Prelab.” Journal of Research in Science Teaching 44 (8): 1108–1133. doi:10.1002/tea.20217.
   Web of Science ®Google Scholar
• Yerkes, Robert Mearns, and John D Dodson. 1908. “The Relation of Strength of Stimulus to Rapidity of Habit-Formation.” Journal of Comparative Neurology and Psychology 18: 459–482. doi:10.1002/cne.920180503.
   Google Scholar