Online robotics technology course design by balancing workload and affect
Pages 131 - 158
Abstract
This paper describes our course design approach that successfully transformed an undergraduate Robotics Technology course from in-person teaching to online guided by the TASKS model. Our course redesign process includes identifying conflicts, generating solutions, self-evaluation, and analyses of design solutions. We carefully balanced between Workload and students’ Affect, by designing comparable workloads as before, as well as maintaining students’ motivation similarly at the in-person level. Transforming this course consisting of lecture sessions and lab sessions with hardware and software elements yielded a set of course activities and teaching practices applicable to online teaching of other courses. When physical robots become unavailable, simulation projects were designed as alternatives and simulated versions of those physical projects used in face-to-face classroom. These simulation projects are in the areas of autonomous mobile robots, robotic manipulator, and advanced robotic control on MATLAB-ROS, respectively. Comparisons with past in-person results confirm that effective learning has been achieved remotely, having maintained student’s performance and motivation.
References
[1]
Akintewe, O. (2021). Remote Teaching Robotics Design Project. ASEE Annual Conference & Exposition.
[2]
Alimisis, D. (2013) Educational Robotics: Open Questions and New Challenges, Themes in Science and Technology Education 6(1), 63–71.
[3]
Altin, H., Pedaste, M. (2013) Learning Approaches to Applying Robotics in Science Education, Journal of Baltic Science Education 12(3).
[4]
Avanzato, R. (2020). Development of a MATLAB/ROS Interface to a Low-Cost Robot Arm. AEEE Annual Conference and Exposition.
[5]
Avanzato, R., Wilcox, C. (2020). Introductory Mobile Robotics and Computer Vision Laboratories using ROS and MATLAB. ASEE Annual Conference and Exposition.
[6]
Beiley, J. (2018). Exploring an Inquiry-Based Learning with Peer-teaching Pedagogy in a Phys-iological Signals Lab Course. ASEE Annual Conference & Exposition. UT.
[7]
Benitez, V. H., Symonds, R., Elguezabal, D. E. (2020) Design of an Affordable IoT Open-Source Robot Arm for Online Teaching of Robotics Courses during the Pandemic Contingency, HardwareX 8, e00158.
[8]
Bielefeldt, A., Morse, A. (2019). Teaching and Assessment of Innovation and Creativity in Civil Engineering: Why? How? Now! Annual Conference and Exposition.
[9]
Birk, A., Dineva, E., Maurelli, F., Nabor, A. (2021) A Robotics Course during COVID-: Lessons Learned and Best Practices for Online Teaching beyond the Pandemic, Robotics 10(5), 19.
[10]
Bote-Vericad, J.-J. (2021) Challenges for theEducational System During Lockdowns: A Possible new Framework forTeaching and Learning for the Near Future, Education forInformation,, 31, 149–153.
[11]
Bote-Vericad, J.-J. (2021) Perceived Barriers for Distance Teachingin Higher Education during the COVID- Crisis: “I Never Did aVideo Before”, Education for Information 37, 377–397.
[12]
Boysen, G. A. (2015) Uses and Misuses of Student Evaluations of Teaching: The Interpretation of Differences in Teaching Evaluation Means Irrespective of Statistical Information, Teaching of Psychology 42(2), 109–118.
[13]
Canas, J. M., Perdices, E., Garcia-Perez, L., Fernandez-Conde, J. (2020) A ROS-Based Open Tool for Intelligent Robotics Education, Applied Sciences 10(21).
[14]
Conefrey, T., Smyth, D. S. (2021) High-Impact Practices for Transforming Online Learning, Journal of Higher Education Theory&Practice 21(6), 79–91.
[15]
Corke, P., (n.d.). Robotics Toolbox. Retrieved from https://petercorke.com/toolboxes/robotics-toolbox/.
[16]
Das, A. K., Nguyen, Q. T., Nguyen, A. T., Nomikoudis, M., Van, D. H. (2019) Course Redesign to Incorporate Flipped Delivery: A Business Degree Case in Vietnam, Issues in Educational Research 29(2).
[17]
Davis, J. L., McDonald, T., Kicklighter, B. L. (2021). Online Testing with Blackboard: Lessons Learned (Perspectives from Three Engineering Faculty). ASEE Annual Conference.
[18]
Dey, U., S, K. C. (2020). AWeb-Based Integrated GUI for 3D Modeling, Kinematic Study, and Control of Robotic Manipulators. Comput Appl Eng Educ.
[19]
Dhawan, S. (2020) Online Learning: A Panacea in the Time of COVID- Crisis, Journal of Educational Technology Systems 49(1), 5–22.
[20]
Dunlap, J. C., Verma, G., Johnson, H. L. (2016) Presence+Experience: A Framework for the Purposeful Design of Presence in Online Courses, Tech Trends 60, 145–151.
[21]
Dziuban, C., Graham, C., Moskal, P., Norberg, A., Sicilia, N. (2018) Blended Learning: the New Normal and Emerging Technologies, International Journal of Educational Technology in Higher Education 15(3).
[22]
Edwards, R., Recktenwald, G. (2008). Guided Inquiry in an Engineering Technology Classroom. ASEE Annual Conference & Exposition.
[23]
Eschenbach, E., Cashman, E. (2004). Teaming In Freshman Design Using A Studio Teaching Approach And Blackboard®. ASEE Annual Conference & Exposition.
[24]
Eteokleous, N., Nisiforou, E., Christodoulou, C. (2020). Creativity Thinking Skills Promoted Through Educational Robotics. In Advances in Intelligent Systems and Computing.
[25]
Fini, E. H., Awadallah, F., Parast, M. M., Abu-Lebdeh, T. (2018) The Impact of Project-Based Learning on Improving Student Learning Outcomes of Sustainability Concepts in Transportation Engineering Courses, European Journal of Engineering Education 43(3).
[26]
Garcia-Vedrenne, A. E., Orland, C., Ballare, K. M., Shapiro, B., Wayne, R. K. (2020). Ten Strategies for a Successful Transition to RemoteLearning: Lessons Learned with a Flipped Course. Academic Practice in Ecology and Evolution.
[27]
Gennert, M. A., Lotfi, N., Mynderse, J. A., Jethwani, M., Kapila, V. (2020). Workshops for Building the Mechatronics and Robotics Engineering Education Community. ASEE Annual Conference & Exposition.
[28]
Gibeault, S., Lorio, J., Santillan, J., Shen, H., Tufenkjian, M. (2019). Practical Application of Robotics Competition for STEM Education. ASEE Annual Conference & Exposition.
[29]
Gillis, A., Krull, L. M. (2020) COVID- Remote Learning Transition in Spring: Class Structures, Student Perceptions, and Inequality in College Courses, Teaching Sociology 48(4), 283–299.
[30]
Guilford, W. H., Helmke, B. P. (2017). Summative versus Formative Assessments in Teaching Physiology to Biomedical Engineering Students: A Comparison of Outcomes. ASEE Annual Conference & Exposition.
[31]
Havenga, M.(2020). COVID-19: Transition to Online Problem-based Learning in Robotics – Challenges, Opportunities and Insights. International Conference on Active Learning in Engineering Education. Pathumthani, Thailand.
[32]
Hew, K. F., Jia, C., Gonda, D. E., Bai, S. (2020). Transitioning to the “New Normal“ of Learning in Unpredictable Times: Pedagogical Practices and Learning Performance in Fully Online Flipped Classrooms. International Journal of Educational Technology in Higher Education.
[33]
Khan, K.(2017). ROS-Based Control of a Manipulator Arm for Balancing a Ball on a Plate. ASEE Annual Conferences and Exposition.
[34]
Khan, M. S., Wu, N., Ibrahim, M. (2018). A Study on Measuring Self-efficacy in Engineering Modeling and Design Courses. ASEE Annual Conference & Exposition. Salt Lake City, UT.
[35]
Khan, S., Jaffery, M. H., Hanif, A., Asif, M. R. (2017) Teaching Tool for a Control Systems Laboratory Using a Quadrotor as a Plant in MATLAB, IEEE Transactions on Education 60(4), 249–256.
[36]
Khan, Z. R., Sivasubramaniam, S., Anand, P., Hysaj, A. (2021) E’-thinking Teaching and Assessment to Uphold Academic Integrity: Lessons Learned From Emergency Distance Learning, International Journal for Educational Integrity 17(1), 1–27.
[37]
Koh, C., Tan, H. S., Tan, K. C., Fang, L., Fong, F. M., Kan, D., Wee M. L. (2010). Investigating the Effect of 3D Simulation-Based Learning on the Motivation and Performance of Engineering Studies. Journal of Engineering Education.
[38]
Kumpass-Lenk, K., Eisenschmidt, E., Veispak, A. (2018) Does the Design of Learning Outcomes Matter from Students’ Perspective? Studies in Educational Evaluation 59, 179–186.
[39]
Kuo, H.-C., Yang, Y.-T. C., Chen, J.-S., Hou, T.-W., Ho, M.-T. (2021). The Impact of Design Thinking PBL Robot Course on College Students’ Learning Motivation and Creative Thinking. IEEE Transactions on Education.
[40]
Lehman, W., Hayder, M. (2015). Introducing Kinematics with Robot Operating System (ROS). ASEE Annual Conference and Exposition.
[41]
Little-Wiles, J. M., Naimi, L. L. (2011). An Examination of Faculty Perceptions and Use of Blackboard Learning Management System. ASEE Annual Conference & Exposition.
[42]
Ma, L. (2021). Teaching Undergraduate Robotic Course using VEX Robots. Journal of STEM Education, Research, and Innovation.
[43]
Ma, L., Alborati, M. (2018). Enhancement of a VEX Robot with an Onboard Vision System. International Conference on Engineering Education. Malaysia.
[44]
Ma, L., Ma, G. (2019). Modeling and Control of a VEX Robot. Hawaii International Conference on Education.
[45]
Ma, L., Alamo, J. M., Wang, Y. (2021). Assessment of Creative Thinking in an Introduction Robotic Course using Final Project. ASEE Annual Conference and Exposition.
[46]
Ma, L., Alborati, M., Song, J. (2019). Inclusion of a Visual Servoing Project into an Undergraduate Robotic Course. International Conference on Engineering Education. Japan.
[47]
Malik, M., Fatima, G., Ch, A. H., Sarwar, A. (2017) E-Learning: Students’ Perspectives about Asynchronous and Synchronous Resources at Higher Education Level, Bulletin of Education and Research 39(2), 183–195.
[48]
Maxwell, B. A., Meeden, L. A. (2000) Integrating Robotics Research with Undergraduate Education, IEEE Intelligent Systems and their Applications 15(6).
[49]
McDowell, T. R., Schmittzehe, E. T., Duerden, A. J., Cernusca, D., Collier, H., Woelk, K. (2019) A Student-Choice Model to Address Diverse Needs and Promote Active Learning, Journal of Science Education and Technology 28, 321–328.
[50]
Nguyen, T. A., Zeng, Y. (2012) A Theoretical Model of Design Creativity: Nonlinear Design Dynamics and Mental Stress-Creativity Relation, Journal of Integrated Design and Process Science 16(3), 65–88.
[51]
Pantazidou, M., Kandris, K. (2020) Examples of Applying Research-Based Learning Principles to the Redesign of an Environmental Geotechnics Course, International Journal of Engineering Pedagogy 10(1), 31–50.
[52]
Prince, M., Felder, R., Prent, R. (2020) Active Student Engagement in Online STEM Classes: Approaches and Recommendations, Advances in Engineering Education 8(4).
[53]
Ruano, I. R., Estevez E. E., Garcia, A. S., Garcia, J. G., Ortega, J. G. (2020). Integration of Online Laboratories in Learning Platforms. XIV Technologies Applied to Electronics Teaching Conference (TAEE).
[54]
Saleheen, F., Giorgi, S., Smith, Z. T., Picone, J., Won, C.-H. (2015). Design and Evaluation of a Web-based Virtual Open Laboratory Teaching Assistant (VOLTA) for Circuits Laboratory. ASEE Annual Conference & Exposition. Seattle, WA.
[55]
Sawatzki, C. G., Muraleedharan, R. (2021).Work in Progress: Using Cost-effective Educational Robotics Kits in Engineering Education. ASEE Annual Conference.
[56]
Shekar, A. (2014). Project Based Learning in Engineering Design Education: Sharing Best Practices. ASEE Annual Conference&Education. Indianapolis, IN.
[57]
Siegwart, R., Nourbakhsh, I., Scaramuzza, D. (2004). Introduction to Autonomous Mobile Robot. MIT Press.
[58]
Soicher, R. N., Becker-Blease, K. A., Bostwick, K. (2020) Adapting Implementation Science for Higher Education Research: the Systematic Study of Implementing Evidence-Based Practices in College Classrooms, Cognitive Research: Principles and Implications 5(54).
[59]
Spong, M., Hutchinson, S., Vidyasagar, M. (2020). Robot Modeling and Control. Wiley.
[60]
Tang, B., Guo, S., Yeboah, M., Wang, Z., Cheng, S. (2021) Quality Evaluation of Online Courses During COVID- Pandemic Based on Integrated FCE-AHP Method, Journal of Intelligent&Fuzzy Systems 41, 1487–1498.
[61]
Teo, O. E. (2020) Challenges for Conducting the Online Assessment for A Large Class in Engineering Mechanics, Advances in Engineering Education 8(4).
[62]
Wan, T. (2021) Predictive Analytics for the KMAP-O Model in Design and Evaluation of Diabetes care Management Research, Health Services Research and Managerial Epidemiology 8, 1–4.
[63]
Wan, T., Terry, A., McKee, B., Kattan, W. (2017) KMAP-O Framework for Care Management Research of Patients With Type Diabetes, World Journal of Diabetes 8(4), 165–171.
[64]
Wilkerson, S., Forsyth, J., Sperbeck, C., Jones, M., Lynn, P. (2017). A Student Project using Robotic Operating System (ROS) for Undergraduate Research. ASEE Annual Conference and Exposition.
[65]
Wong, J. (2021). Transition of Instructional Methods from an In-Person to Online Course and the Lessons Learned. ASEE Annual Conference & Exposition.
[66]
Wu, L. L., Zhu, E., Callaghan, C., Irwin, D., Reinsdorf, D., Swanson, V., Reinkensmeyer D. (2020) Rapidly Converting a Project-Based Engineering Experience for Remote Learning: Successes and Limitations of Using Experimental Kits and a Multiplayer Online Game, Advances in Engineering Education 8(4).
[67]
Yadav, A., Subedi, D., Lundeberg, M. A., Bunting, C. F. (2011) Problem-based Learning: Influence on Students’ Learning in an Electrical Engineering Course, Journal of Engineering Education 100(2), 253–280.
[68]
Yang, J., Yang, L., Quan, H., Zeng, Y. (2021) Implementation Barriers: A TASKS Framework, Journal of Integrated Design and Process Science 25.
[69]
Yerkes, R. M., Dodson, J. D. (1908) The Relation of Strength of Stimulus to Rapidity of Habit-Formation, Journal of Comparative Neurology and Psychology 18, 459–482.
Index Terms
- Online robotics technology course design by balancing workload and affect
Index terms have been assigned to the content through auto-classification.
Recommendations
Course Design and Project Evaluation of a Network Management Course Implemented in On-Campus and Online Classes
This article describes a course framework designed for a network management course in information computer technology education. A combination of four learning techniques was used as the pedagogical method: lecture-based learning, lab-based learning, ...
Online Technology-Based Microteaching in Teacher Education: A Systematic Literature Review
AbstractThis study systematically reviewed 38 research papers on microteaching practices using online technology. It was found that online microteaching utilizes technology in both synchronous and asynchronous settings. Mixed methods research was most ...
Online teaching and learning in higher education: Lessons learned in crisis situations
AbstractIn the year 2020, the Covid-19 pandemic turned both private and public life upside down. Teaching and learning at higher education institutions worldwide had to move online on very short notice. This Special Issue focuses on the ...
Highlights- Synthesis of the Special Issue “Online Teaching and Learning in Higher Education: Lessons Learned in Crisis Situations”.
Comments
Please enable JavaScript to view thecomments powered by Disqus.Information & Contributors
Information
Published In
© 2022 – The authors. Published by IOS Press.
This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial (CC BY-NC 4.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Publisher
IOS Press
Netherlands
Publication History
Published: 01 January 2022
Author Tags
Qualifiers
- Research-article
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 0Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 17 Dec 2024