Convergent and Divergent Thinking Skills in Electrical Engineering Gaming Framework
Keywords:Electrical Engineering, UNTANGLED, Creative Problem Solving, Convergent Thinking, Divergent Thinking
This paper focuses on the participants who are categorized based on the number of times they played the same level in an online scientific game. An open-source scientific puzzle game UNTANGLED is used to perform this research. Telemetry data of more than 600 players is extracted from the database is divided into two groups: single (players who played a puzzle only one time) and multiple (players who played the same puzzle more than one time). Analysis performed on these two groups helps to examine convergent and divergent thinking skills. Statistical tests were performed to assist in learning the significance of the two groups based on dependent variables score and type of moves used in the gaming framework. This study is performed by considering more than 700 players' solutions. The findings obtained show that the single and multiple groups have no significant difference in their performance, and multiple group players obtained top scores alongside single group players. Results show that single group players could have convergent thinking that can provide only one solution for a given problem. In contrast, multiple group players could possess divergent thinking that can offer diverse solutions to the same problem from different perspectives. Finally, this paper dispenses recommendations for STEM educators and scientific game designers to develop open-ended frameworks that reward both thinking competencies. The novelty of this study is to show the consequences of including features that enhance both convergent and divergent thinking skills to solve open-ended problems in electrical engineering.
 J. P. Adams, S. Kaczmarczyk, P. Picton, and P. Demian, “Problem Solving and Creativity in Engineering: Perceptions of Novices and Professionals,” Lect. Notes Eng. Comput. Sci., vol. I, 2009.
 D. H. Cropley and A. J. Cropley, “Fostering Creativity in Engineering Undergraduates,” High Abil. Stud., vol. 11, no. 2, pp. 207–219, 2000, doi: 10.1080/13598130020001223.
 D. H. Cropley, A. J. Cropley, and B. L. Sandwith, “Creativity in the engineering domain,” Cambridge Handb. Creat. across Domains, pp. 261–275, 2017, doi: 10.1017/9781316274385.015.
 D. L. Dekker, “Engineering design processes, problem solving & creativity,” Proc. - Front. Educ. Conf., vol. 1, pp. 445–448, 1995.
 M. Karyotaki and A. Drigas, “Online and other ICT-based training tools for problem-solving skills,” Int. J. Emerg. Technol. Learn., vol. 11, no. 6, pp. 35–39, 2016, doi: 10.3991/ijet.v11i06.5340.
 B. D. Nielsen, C. L. Pickett, and D. K. Simonton, “Conceptual versus experimental creativity: Which works best on convergent and divergent thinking tasks?,” Psychol. Aesthetics, Creat. Arts, vol. 2, no. 3, pp. 131–138, Aug. 2008, doi: 10.1037/1931-38184.108.40.206.
 D. K. Simonton, “Creativity: Cognitive, personal, developmental, and social aspects.,” Am. Psychol., vol. 55, no. 1, pp. 151–158, 2000, doi: 10.1037/0003-066X.55.1.151.
 R. Pathan, U. Khwaja, D. Reddy, and V. V. Kamat, “Teaching and Learning of Divergent & Convergent Thinking Skills using DCT,” Proc. - IEEE 8th Int. Conf. Technol. Educ. T4E 2016, no. September, pp. 54–61, 2017, doi: 10.1109/T4E.2016.020.
 A. Y. K. and D. A. Kolb, “Learning Styles and Learning Spaces: Enhancing Experiential Learning in Higher Education,” vol. 4, no. 2, pp. 193–212, 2005, doi: 10.31219/osf.io/rdq97.
 A. Y. Kolb and D. A. Kolb, “The Kolb Learning Style Inventory - Version 4.0,” Exp. Based Learn. Syst. Inc., p. 234, 2013.
 Saul McLeod, “Kolb Learning Style,” 2017. http://www.simplypsychology.org/learning-kolb.html.
 C. Charyton, R. J. Jagacinski, and J. A. Merrill, “CEDA: A research instrument for creative engineering design assessment.,” Psychol. Aesthetics, Creat. Arts, vol. 2, no. 3, pp. 147–154, Aug. 2008, doi: 10.1037/1931-38220.127.116.11.
 C. Charyton and J. A. Merrill, “Assessing general Creativity and Creative engineering Design in first year engineering students,” J. Eng. Educ., vol. 98, no. 2, pp. 145–156, 2009, doi: 10.1002/j.2168-9830.2009.tb01013.x.
 D. J. Pepler and H. S. Ross, “The Effects of Play on Convergent and Divergent Problem Solving,” Child Dev., vol. 52, no. 4, p. 1202, 1981, doi: 10.2307/1129507.
 L. Von Ahn, R. Liu, and M. Blum, “Peekaboom: A Game for Locating Objects in Images,” 2006.
 S. Cooper et al., “Predicting protein structures with a multiplayer online game,” Nature, vol. 466, no. 7307, pp. 756–760, 2010, doi: 10.1038/nature09304.
 L. Von Ahn and L. Dabbish, “Labeling Images with a Computer Game,” 2004. Accessed: Sep. 19, 2019. [Online]. Available: http://www.espgame.org.
 G. Mehta et al., “Untangled: A game environment for discovery of creative mapping strategies,” ACM Trans. Reconfigurable Technol. Syst., vol. 6, no. 3, 2013, doi: 10.1145/2517325.
 G. Mehta, K. K. Patel, N. Parde, and N. S. Pollard, “Data-Driven Mapping Using Local Patterns,” IEEE Trans. Comput. Des. Integr. Circuits Syst., vol. 32, no. 11, pp. 1668–1681, Nov. 2013, doi: 10.1109/TCAD.2013.2272541.
 G. Mehta, K. Patel, and N. S. Pollard, “On fast iterative mapping algorithms for stripe based coarse-grained reconfigurable architectures,” Int. J. Electron., vol. 102, no. 1, pp. 3–17, Jan. 2015, doi: 10.1080/00207217.2014.938310.
 Science, “Science/AAAS | Special Issue: 2012 International Science & Engineering Visualization Challenge,” 2012. https://www.sciencemag.org/site/special/vis2012/.
 NSF, “Winners of 10th Annual International Science & Technology Visualization Challenge Announced,” 2013. https://www.nsf.gov/news/news_summ.jsp?cntn_id=126758&WT.mc_id=USNSF_51&WT.mc_e v=click.
 G. Mehta, “UNTANGLED,” UNT, 2012. untangled.unt.edu.
 D. A. Kolb, “Experiential Learning: Experience as The Source of Learning and Development,” Prentice Hall, Inc., no. 1984, pp. 20–38, 1984, doi: 10.1016/B978-0-7506-7223-8.50017-4.
 D. A. Kolb and A. Y. Kolb, “Research on Validity and Educational Applications,” no. May 2016, pp. 0–233, 2013, doi: 10.1016/S0020-7519(02)00196-0.
 P. D. Reddy, S. Iyer, and M. Sasikumar, “Teaching and learning of divergent and convergent thinking through open-problem solving in a data structures course,” Proc. - 2016 Int. Conf. Learn. Teach. Comput. Eng. LaTiCE 2016, pp. 178–185, 2016, doi: 10.1109/LaTiCE.2016.13.
 C.-Y. Lin, “Threshold Effects of Creative Problem-Solving Attributes on Creativity in the Math Abilities of Taiwanese Upper Elementary Students,” Educ. Res. Int., vol. 2017, pp. 1–9, 2017, doi: 10.1155/2017/4571383.
 S.-C. Wang and J.-Y. Chern, “The ‘Night Owl’ Learning Style of Art Students: Creativity and Daily Rhythm,” Int. J. Art Des. Educ., vol. 27, no. 2, pp. 202–209, Jun. 2008, doi: 10.1111/j.1476-8070.2008.00575.x.
 I. Y. Kazu, “The Effect of Learning Styles on Education and the Teaching Process,” J. Soc. Sci., vol. 5, no. 2, pp. 85–94, 2009, doi: 10.3844/jssp.2009.85.94.
 M. Mimi, Muhaffyza and M. Heong, Yee, “Identifying Relationship Involving Learning Styles And Problem Solving Skills Among Vocational Students Faculty of Technical Education University Tun Hussein Onn Malaysia Muhammad Rashid Rajuddin Faculty of Education University Technology Malaysia Email :,” J. Tech. Educ. Train., vol. 3, no. 1, pp. 37–46, 2011.
 K. C. Tsai, “Taiwanese elementary student’s creativity, creative personality, and learning styles: An exploratory study,” Alberta J. Educ. Res., vol. 60, no. 3, pp. 464–473, 2014.