Ubiquitous Learning with Online Project-Scratch Programming: Enhancing Student Engagement and Developing Problem-Solving Skills

Andik Asmara; Hongbo Ma

doi:10.21831/jee.v8i2.78719

Ubiquitous Learning with Online Project-Scratch Programming: Enhancing Student Engagement and Developing Problem-Solving Skills

Andik Asmara, Center of STEAM and Technology Enhanced Learning, Department of Electrical Engineering Education, Faculty of Engineering, Universitas Negeri Yogyakarta, Indonesia
Hongbo Ma, School of Business, Jinhua University of Vocational Technology, China

10.21831/jee.v8i2.78719

Abstract

Low student engagement in online learning is a challenge faced by many educators. The choice of tools used in online learning is also critical in determining whether they support ubiquitous learning for students. One tool that has proven effective in traditional (classroom) learning to increase engagement and problem-solving skills is Problem-Based Learning (PBL) on the Scratch platform. The purpose of this study is to examine whether PBL-Scratch can increase student engagement and perceptions of problem-solving skills in online learning. The study uses a quasi-experimental approach with a simple t-test analysis. The results indicate that PBL-Scratch can increase student engagement with a significance of 0.008 and perceived problem-solving skills in online learning with a significance of 0.025, making it a viable tool for ubiquitous learning.

Keywords

engagement, problem-solving skills, scratch, problem-based learning, ubiquitous learning

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References

P. H. Lin, Y. M. Huang, and C. C. Chen, “Exploring Imaginative Capability and Learn-ing Motivation Difference Through Picture E-Book,” IEEE Access, vol. 6, pp. 63416–63425, 2018, doi: 10.1109/ACCESS.2018.2875675.

J. C. G. Vargas, R. Fabregat, A. Carrillo-Ramos, and T. Jové, “Survey: Using augment-ed reality to improve learning motivation in cultural heritage studies,” Applied Scienc-es (Switzerland), vol. 10, no. 3, Feb. 2020, doi: 10.3390/app10030897.

E. Jung, R. Lim, and D. Kim, “A Schema-Based Instructional Design Model for Self-Paced Learning Environments,” Educ Sci (Basel), vol. 12, no. 4, Apr. 2022, doi: 10.3390/educsci12040271.

N. L. J. A. Fanchamps, L. Slangen, P. Hennissen, and M. Specht, “The influence of SRA programming on algorithmic thinking and self-efficacy using Lego robotics in two types of instruction,” Int J Technol Des Educ, vol. 31, no. 2, pp. 203–222, Apr. 2021, doi: 10.1007/s10798-019-09559-9.

Y. Viñuela and A. M. de Caso Fuertes, “Improving motivation in pre-school education through the use of project-based learning and cooperative learning,” Front Educ (Lau-sanne), vol. 7, Jan. 2023, doi: 10.3389/feduc.2022.1094004.

S. Safaruddin, N. Ibrahim, J. Juhaeni, H. Harmilawati, and L. Qadrianti, “The Effect of Project-Based Learning Assisted by Electronic Media on Learning Motivation and Sci-ence Process Skills,” Journal of Innovation in Educational and Cultural Research, vol. 1, no. 1, pp. 22–29, Jun. 2020, doi: 10.46843/JIECR.V1I1.5.

B. Hussein, B. Ngereja, K. H. J. Hafseld, and N. Mikhridinova, “Insights on Using Project-Based Learning to Create an Authentic Learning Experience of Digitalization Projects,” 2020 IEEE European Technology and Engineering Management Summit, E-TEMS 2020, Mar. 2020, doi: 10.1109/E-TEMS46250.2020.9111829.

F. Andrianingrum, “Design Of Interactive Learning Media Based On Contextual Ap-proach To Improve Problem-Solving Ability In Fourth Grade Students,” INTERNA-TIONAL JOURNAL OF SCIENTIFIC & TECHNOLOGY RESEARCH, vol. 8, no. 11, 2019, [Online]. Available: www.ijstr.org

W. Daher, N. Baya’a, O. Jaber, and J. A. Shahbari, “A trajectory for advancing the meta-cognitive solving of mathematics-based programming problems with scratch,” Symmetry (Basel), vol. 12, no. 10, pp. 1–19, Oct. 2020, doi: 10.3390/sym12101627.

F. G. Karaoglan Yilmaz and R. Yilmaz, “Learning Analytics Intervention Improves Students’ Engagement in Online Learning,” Technology, Knowledge and Learning, vol. 27, no. 2, pp. 449–460, Jun. 2022, doi: 10.1007/s10758-021-09547-w.

H. Hu, X. Wang, Y. Zhai, and J. Hu, “Evaluation of Factors Affecting Student Partici-pation in Peer-Assisted English Learning Based on Online Education Platform,” Inter-national Journal of Emerging Technologies in Learning, vol. 16, no. 11, pp. 72–87, 2021, doi: 10.3991/ijet.v16i11.23319.

S. A. Aljawarneh, “Reviewing and exploring innovative ubiquitous learning tools in higher education,” J Comput High Educ, vol. 32, no. 1, pp. 57–73, Apr. 2020, doi: 10.1007/s12528-019-09207-0.

N. Nussli, K. Oh, and J. P. Davis, “Capturing the successes and failures during pan-demic teaching: An investigation of university students’ perceptions of their faculty’s emergency remote teaching approaches,” E-Learning and Digital Media, vol. 21, no. 1, pp. 42–69, Jan. 2024, doi: 10.1177/20427530221147112.

G. J. Hwang, D. Zou, and J. Lin, “Effects of a multi-level concept mapping-based ques-tion-posing approach on students’ ubiquitous learning performance and perceptions,” Comput Educ, vol. 149, May 2020, doi: 10.1016/j.compedu.2020.103815.

Y. R. He, X. R. Wang, Q. J. Chen, and P. Leng, “DESIGN and IMPLEMENTATION of VIRTUAL SIMULATION TEACHING SYSTEM for UAV BASED on WEBGL,” in International Archives of the Photogrammetry, Remote Sensing and Spatial Infor-mation Sciences - ISPRS Archives, International Society for Photogrammetry and Re-mote Sensing, Feb. 2020, pp. 1239–1246. doi: 10.5194/isprs-archives-XLII-3-W10-1239-2020.

Parno, L. Yuliati, N. Munfaridah, M. Ali, F. U. N. Rosyidah, and N. Indrasari, “The effect of project based learning-STEM on problem solving skills for students in the topic of electromagnetic induction,” in Journal of Physics: Conference Series, Institute of Physics Publishing, May 2020. doi: 10.1088/1742-6596/1521/2/022025.

C. J. Chen, Y. M. Huang, C. Y. Chang, and Y. C. Liu, “Exploring the Learning Effec-tiveness of ‘The STEAM Education of Flying and Assembly of Drone,’” in Proceed-ings - 2018 7th International Conference of Educational Innovation through Technol-ogy, EITT 2018, Institute of Electrical and Electronics Engineers Inc., Jul. 2018, pp. 63–67. doi: 10.1109/EITT.2018.00021.

J. J. Appleton, S. L. Christenson, D. Kim, and A. L. Reschly, “Measuring cognitive and psychological engagement: Validation of the Student Engagement Instrument,” J Sch Psychol, vol. 44, no. 5, pp. 427–445, 2006.

N. Sahin, N. H. Sahin, and P. P. Heppner, “Psychometric properties of the problem solving inventory in a group of Turkish university students,” Cognit Ther Res, vol. 17, no. 4, pp. 379–396, 1993.

S. P. Rose, M. P. J. Habgood, and T. Jay, “Designing a Programming Game to Improve Children’s Procedural Abstraction Skills in Scratch,” Journal of Educational Compu-ting Research, vol. 58, no. 7, pp. 1372–1411, 2020, doi: 10.1177/0735633120932871.

T.-T. Wu, A. Asmara, Y.-M. Huang, and I. Permata Hapsari, “Identification of Prob-lem-Solving Techniques in Computational Thinking Studies: Systematic Literature Review,” Sage Open, vol. 14, no. 2, Apr. 2024, doi: 10.1177/21582440241249897.

M. Elzomor, C. Mann, K. Doten-Snitker, K. Parrish, and M. Chester, “Leveraging Ver-tically Integrated Courses and Problem-Based Learning to Improve Students’ Perfor-mance and Skills,” Journal of Professional Issues in Engineering Education and Prac-tice, vol. 144, no. 4, 2018, doi: 10.1061/(ASCE)EI.1943-5541.0000379.

T.-T. Wu, H.-Y. Lee, W.-S. Wang, C.-J. Lin, and Y.-M. Huang, “Leveraging computer vision for adaptive learning in STEM education: effect of engagement and self-efficacy,” International Journal of Educational Technology in Higher Education, vol. 20, no. 1, p. 53, 2023, doi: 10.1186/s41239-023-00422-5.

X. Chen and X. Wang, “Computational Thinking Training and Deep Learning Evalua-tion Model Construction Based on Scratch Modular Programming Course,” Comput In-tell Neurosci, vol. 2023, no. 1, p. 3760957, Jan. 2023, doi: 10.1155/2023/3760957.

P. Dúo-Terrón, “Analysis of Scratch Software in Scientific Production for 20 Years: Programming in Education to Develop Computational Thinking and STEAM Disci-plines,” Apr. 01, 2023, MDPI. doi: 10.3390/educsci13040404.

Parno et al., “The Building of Students’ Problem Solving Skills through STEM Aproach with Virtual Simulation Media,” in Journal of Physics: Conference Series, IOP Publishing Ltd, Mar. 2021. doi: 10.1088/1742-6596/1842/1/012073.

U. Kale and J. Yuan, “Still a New Kid on the Block? Computational Thinking as Prob-lem Solving in Code.org,” Journal of Educational Computing Research, vol. 59, no. 4, pp. 620–644, Jul. 2021, doi: 10.1177/0735633120972050.

M. J. Marcelino, T. Pessoa, C. Vieira, T. Salvador, and A. J. Mendes, “Learning Com-putational Thinking and scratch at distance,” Comput Human Behav, vol. 80, pp. 470–477, 2018, doi: 10.1016/j.chb.2017.09.025.

W. L. Tan, M. A. Samsudin, M. E. Ismail, N. J. Ahmad, and C. A. Talib, “Exploring the Effectiveness of STEAM Integrated Approach via Scratch on Computational Thinking,” Eurasia Journal of Mathematics, Science and Technology Education, vol. 17, no. 12, 2021, doi: 10.29333/ejmste/11403.

D. Pérez-Marín, R. Hijón-Neira, A. Bacelo, and C. Pizarro, “Can computational think-ing be improved by using a methodology based on metaphors and scratch to teach computer programming to children?,” Comput Human Behav, vol. 105, no. August, 2020, doi: 10.1016/j.chb.2018.12.027.

DOI: https://doi.org/10.21831/jee.v8i2.78719