Applying Design Thinking to Enhance Programming Education in Vocational and Compulsory Secondary Schools
Source abstract
Abstract
A proper and complete formation in technology (science, communications, programming, robotics, Computational Thinking, etc.) must be imparted at all educational levels for a lifelong education. However, students may lose motivation or interest due to the complexity and abstraction of some of the concepts imparted. In line with this, the work at hand looks to improve the interest and commitment of students by presenting the programming concepts and contents in a practical way. The teaching–learning process is based on the development of projects about robotics, which are adapted for courses and groups of different educational levels. The Design Thinking methodology is used to impart the content. This methodology allows the students to experiment, design and test different solutions for a given problem, increasing their motivation and interest, promoting creativity, and making the students conscious of their learning process. Two different projects are considered, a simulated one based on a sensor network to localise and track a robot in a closed area for vocational education students, and an experimental one about constructing a robot with several capabilities using Lego Mindstorms for compulsory secondary education students. The results obtained over three different groups of students are analysed and compared, and show that the methodology and projects selected can be adopted and adapted for different educational levels, increasing the proficiency of the students, their development, motivation and self-learning despite the difficulty and complexity of some concepts related to computer science.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Teaching and Learning Programming · Biomedical and Engineering Education · Mechatronics Education and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Computer Science and Automatic Control, Universidad Nacional de Educación a Distancia (UNED), 28040 Madrid, Spain
Funding
“Ministerio de Ciencia e Innovación” of Spain · Innovation Group “IEData”
References (74)
Show source-provided references
1. Complex evaluation of sustainability in engineering education: Case & analysis10.1016/j.jclepro.2015.09.086 ↗
2. Latchem, C. (2017). Using ICTs and Blended Learning in Transforming Technical and Vocational Education and Training, UNESCO. Commonwealth of Learning: Perspectives on Open and Distance Learning.
3. Instructional strategies to educate for sustainability in technology assessment
4. Approaches to ICT-enhanced teaching in technical and vocational education: A phenomenographic perspective10.1007/s10734-016-9990-2 ↗
5. A typology of students in intermediate vocational education and training programmes based on student engagement factors, sociodemographic characteristics and intentions of dropping out10.1111/ejed.12361 ↗
6. Cerdà-Navarro, A., Quintana-Murci, E., and Salvà-Mut, F. (2022). Reasons for dropping out of intermediate vocational education and training in Spain: The influence of sociodemographic characteristics and academic background. J. Vocat. Educ. Train., 1–25.10.1080/13636820.2022.2049625 ↗
7. Fundamentos del pensamiento en diseño
8. Design Thinking: Creatividad y pensamiento crítico en la universidad
9. Design Thinking for German Vocational Schools? Discovering of an Innovative Approach by Testing in Teacher Education10.1515/edu-2019-0015 ↗
10. Zhao, Y., and Ko, Y.O.J. (2018, January 8–12). Design thinking as an innovative pedagogy and innovation as a learning process in leading vocational education change in China: Lessons from two cases. Proceedings of the 31st International Congress of School Effectiveness and School Improvement (ICSEI): Deepening School Change for Scaling: Principles, Pathways and Partnerships, Singapore.
11. The impact of online design thinking-based learning on entrepreneurial intention: The case of vocational college10.1186/s13731-023-00278-z ↗
12. A Systematic Review of Studies on Educational Robotics. Journal of Pre-College Engineering Education Research
13. Computational thinking10.1145/1118178.1118215 ↗
14. Wing, J. (2008, January 14–18). Computational thinking and thinking about computing. Proceedings of the 2008 IEEE International Symposium on Parallel and Distributed Processing, Miami, FL, USA.10.1109/IPDPS.2008.4536091 ↗
15. Bringing Computational Thinking to K-12: What is Involved and What is the Role of the Computer Science Education Community?10.1145/1929887.1929905 ↗
16. Computational Thinking for Youth in Practice10.1145/1929887.1929902 ↗
17. Computational Thinking in K–12: A Review of the State of the Field10.3102/0013189X12463051 ↗
18. Curzon, P., Dorling, M., Ng, T., Selby, C., and Woollard, J. (2014). Developing Computational Thinking in the Classroom: A Framework, University of Southampton. Project Report.
19. Ioannou, I., and Angeli, C. (2016, January 4–6). A Framework and an Instructional Design Model for the Development of Students’ Computational and Algorithmic Thinking. Proceedings of the Mediterranean Conference on Information Systems, Paphos, Cyprus.
20. Bocconi, S., Chioccariello, A., Dettori, G., Ferrari, A., and Engelhardt, K. (2016). Developing Computational Thinking in Compulsory Education—Implications for Policy and Practice, Joint Research Centre. JRC Research Reports JRC104188.
21. Mulder, M. (2017). Competence-Based Vocational and Professional Education: Bridging the Worlds of Work and Education, Springer International Publishing.10.1007/978-3-319-41713-4 ↗
22. A systematic review of integrating computational thinking in early childhood education10.1016/j.caeo.2023.100122 ↗
23. A literature review on the empirical studies of the integration of mathematics and computational thinking10.1007/s10639-022-11518-2 ↗
24. Computational Thinking and STEM in Agriculture Vocational Training: A Case Study in a Greek Vocational Education Institution
25. Díaz-Lauzurica, B., and Moreno-Salinas, D. (2019). Computational Thinking and Robotics: A Teaching Experience in Compulsory Secondary Education with Students with High Degree of Apathy and Demotivation. Sustainability, 11.10.3390/su11185109 ↗
26. Tabet, N., Gedawy, H., Alshikhabobakr, H., and Razak, S. (2016, January 11–13). From Alice to Python. Introducing Text-Based Programming in Middle Schools. Proceedings of the 2016 ACM Conference on Innovation and Technology in Computer Science Education, (ITiCSE ’16), New York, NY, USA.10.1145/2899415.2899462 ↗
27. Dwyer, H., Hill, C., Hansen, A., Iveland, A., Franklin, D., and Harlow, D. (2015, January 18–20). Fourth Grade Students Reading Block-Based Programs: Predictions, Visual Cues, and Affordances. Proceedings of the Eleventh Annual International Conference on International Computing Education Research, (ICER ’15), New York, NY, USA.10.1145/2787622.2787729 ↗
28. The Appropriateness of Scratch and App Inventor as Educational Environments for Teaching Introductory Programming in Primary and Secondary Education10.4018/IJWLTT.2017100106 ↗
29. Comparing novice programing environments for use in secondary education: App Inventor for Android vs. Alice10.1504/IJTEL.2018.088333 ↗
30. Papadakis, S., and Orfanakis, V. (2017, January 25). The Combined Use of Lego Mindstorms NXT and App Inventor for Teaching Novice Programmers. Proceedings of the Educational Robotics in the Makers Era, Athens, Greece.10.1007/978-3-319-55553-9_15 ↗
31. Arís, N., and Orcos, L. (2019). Educational Robotics in the Stage of Secondary Education: Empirical Study on Motivation and STEM Skills. Educ. Sci., 9.10.3390/educsci9020073 ↗
32. Motivating Project-Based Learning: Sustaining the Doing, Supporting the Learning10.1080/00461520.1991.9653139 ↗
33. When is PBL More Effective? A Meta-synthesis of Meta-analyses Comparing PBL to Conventional Classrooms
34. Brown, A.L., and Campione, J.C. (1996). Psychological Theory and the Design of Innovative Learning Environments: On Procedures, Principles, and Systems, Lawrence Erlbaum Associates, Inc.
35. Engineering education: Is problem-based or project-based learning the answer?
36. Merritt, J., Lee, M., Rillero, P., and Kinach, B.M. (2017). Problem-Based Learning in K–8 Mathematics and Science Education: A Literature Review. Interdiscip. J. Probl. Based Learn., 11.10.7771/1541-5015.1674 ↗
37. Kelley, K.W., Fowlin, J.M., Tawfik, A.A., and Anderson, M.C. (2019). The Role of Using Formative Assessments in Problem-based Learning: A Health Sciences Education Perspective. Interdiscip. J. Probl. Based Learn., 13.10.7771/1541-5015.1814 ↗
38. Ulger, K. (2018). The Effect of Problem-Based Learning on the Creative Thinking and Critical Thinking Disposition of Students in Visual Arts Education. Interdiscip. J. Probl. Based Learn., 12.10.7771/1541-5015.1649 ↗
39. Jalinus, N., Nabawi, R.A., and Mardin, A. (2017, January 28). The Seven Steps of Project Based Learning Model to Enhance Productive Competences of Vocational Students. Proceedings of the International Conference on Technology and Vocational Teachers (ICTVT 2017), Yogyakarta, Indonesia.10.2991/ictvt-17.2017.43 ↗
40. The Effect of Project-Based Learning on Learning Motivation and Problem-Solving Ability of Vocational High School Students
41. Formación Profesional Básica: La etapa educativa al servicio de la equidad
42. Thomas, J. (2000). A Review of Research on Project-Based Learning, The Autodesk.
43. Megayanti, T., Busono, T., and Maknun, J. (2020, January 16–17). Project-based learning efficacy in vocational education: Literature review. Proceedings of the IOP Conference Series: Materials Science and Engineering, Chennai, India.10.1088/1757-899X/830/4/042075 ↗
44. Guan, L., Yuan, N., Xie, Y., Feng, J., Sun, B., and Li, L. (2015, January 22–24). A study on the application of flipped classroom teaching in higher vocational education. Proceedings of the 2015 10th International Conference on Computer Science & Education (ICCSE), Cambridge, UK.10.1109/ICCSE.2015.7250358 ↗
45. Factors with Influence on the Adoption of the Flipped Classroom Model in Technical and Vocational Education
46. The relationship between learning styles and motivation to transfer of learning in a vocational training programme10.1016/j.sumpsi.2016.02.001 ↗
47. The effectiveness of using blended learning models against vocational education student learning motivation10.30534/ijatcse/2020/151952020 ↗
48. Gamification to Enhance Motivation and Engagement in Blended eLearning for Technical and Vocational Education and Training10.1007/s10758-020-09466-2 ↗
49. Educational games promote the development of students’ computational thinking: A meta-analytic review10.1080/10494820.2021.1931891 ↗
50. Mobile Augmented Reality in Vocational Education and Training10.1016/j.procs.2015.12.203 ↗
51. Bacca Acosta, J.L., Baldiris Navarro, S.M., Fabregat Gesa, R., and Kinshuk, K. (2019). Framework for designing motivational augmented reality applications in vocational education and training. Austral. J. Educ. Technol., 35.10.14742/ajet.4182 ↗
52. Augmented reality: The improvement of computational thinking based on students’ initial mathematical ability
53. Student-perceived parental involvement as a predictor for academic motivation in vocational education and training (VET)10.1080/13636820.2020.1745260 ↗
54. Three approaches to case study methods in education: Yin, Merriam, and Stake
55. Case and Situation Analysis10.1111/j.1467-954X.1983.tb00387.x ↗
56. Cross, N. (2023). Design Thinking: Understanding How Designers Think and Work, Bloomsbury Publishing.10.5040/9781350305090 ↗
57. Impact of design thinking in higher education: A multi-actor perspective on problem solving and creativity10.1007/s10798-021-09724-z ↗
58. Making design thinking for education sustainable: Training preservice teachers to address practice challenges10.1016/j.tsc.2022.101199 ↗
59. Thom, R. (2016). A design Thinking Approach to Professional Development in Reasonable Adjustment: A New Methodology for Trainers in the Vocational Education and Training Sector of Western Australia. [Master’s Thesis, Edith Cowan University].
60. Design Thinking in Teacher Education: Preparing Engineering Students for Teaching at Vocational Schools
61. Design Thinking in Education: Perspectives, Opportunities and Challenges10.1515/edu-2019-0022 ↗
62. Selltiz, C., Jahoda, M., Deutsch, M., and Cook, S. (1959). Research Methods in Social Relations, Holt, Rinehart and Winston.
63. Weitzman, E., and Miles, M. (1995). Computer Programs for Qualitative Data Analysis, SAGE Publications.
64. Silver, C., and Lewins, A. (2014). Using Software in Qualitative Research: A Step-by-Step Guide, SAGE Publications.10.4135/9781473906907 ↗
65. Sampieri, H. (2014). Methodology of the Research, McGrawHill.
66. Mertens, D. (2010). Research and Evaluation in Education and Psychology: Integrating Diversity with Quantitative, Qualitative, and Mixed Methods, SAGE Publications.
67. Savin-Baden, M., and Major, C. (2013). Qualitative Research: The Essential Guide to Theory and Practice, Routledge.
68. Optimal Sensor Placement for Multiple Target Positioning with Range-Only Measurements in Two-Dimensional Scenarios10.3390/s130810674 ↗
69. Optimal Sensor Placement for Acoustic Underwater Target Positioning With Range-Only Measurements10.1109/JOE.2015.2494918 ↗
70. Blasco, C.T. (2016). Metodología de Enseñanza-Aprendizaje de los Lenguajes HTML y CSS para Estudiantes con Predominancia Lateral Derecha: El Caso de Estudiantes de Diseño Gráfico. [Master’s Thesis, Universidad de La Rioja].
71. Grinnell Jr, R.M., and Unrau, Y. (2005). Social Work Research and Evaluation: Quantitative and Qualitative Approaches, Cengage Learning.
72. Driving to Learn in a Powered Wheelchair: The Process of Learning Joystick Use in People With Profound Cognitive Disabilities10.5014/ajot.2011.001750 ↗
73. Somekh, B. (2005). Action Research, McGraw-Hill Education.
74. What is good action research?: Why the resurgent interest?10.1177/1476750310362435 ↗