IMPROVING EDUCATIONAL POTENTIAL IN PEKALONGAN CITY: COMPUTATIONAL THINKING WORKSHOP TO IMPROVE TEACHER’S COMPUTING CAPABILITIES

Authors

  • Umi Mahmudah UIN K.H. Abdurrahman Wahid Pekalongan
  • Khulaipah SMP Negeri 2 Pekalongan
  • Santika Lya Diah Pramesti
  • Nurul Husnah Mustika Sari UIN K.H. Abdurrahman Wahid Pekalongan
  • Alimatus Sholikhah UIN K.H. Abdurrahman Wahid Pekalongan
  • Rahmi Aneka Sari UIN K.H. Abdurrahman Wahid Pekalongan
  • Irfan Haris UIN K.H. Abdurrahman Wahid Pekalongan

Keywords:

Workshop, Computational Thinking, Teachers, Critical Thinking, Problem Solving

Abstract

Computational thinking plays an important role in shaping the future of education. The "Workshop Computational Thinking" held in Pekalongan City aimed to enhance the computational abilities and technology integration skills of 40 participating teachers. Through meticulous planning and expert facilitators, the workshop successfully equipped educators with essential skills to create dynamic and innovative learning environments. By embracing computational thinking, teachers fostered critical thinking, problem-solving, and creativity among students. The program's positive impact extended to bridging the technology gap and encouraging a culture of lifelong learning among teachers. As a result, graduates are now well- prepared for future careers in a technology-driven world. This workshop serves as a model for transforming education, showcasing the transformative power of computational thinking in preparing the younger generation for an increasingly digital future.

References

A. Rachmatullah and E. N. Wiebe. (2013). Changes and Sources of Changes of Middle School Teachers’ Self-efficacy for Teaching Science in A Computationally Rich Environment: A Mixed-Methods Study, J. Sci. Teacher Educ., vol. 34, no. 2, pp. 132–156.

A. S. Rahmatullah, E. Mulyasa, S. Syahrani, F. Pongpalilu, and R. E. Putri. (2022). Digital era 4.0: The contribution to education and student psychology. Linguist. Cult. Rev., vol. 6, no. S3, pp. 89–107.

AYadav, C. Stephenson, and H. Hong. (2017). Computational thinking for teacher education.Commun. ACM, vol. 60, no. 4, pp. 55–62.

I. Lee and B. Perret. (2022). Preparing High School Teachers to Integrate AI Methods into STEM Classrooms. in Proceedings of the AAAI Conference on Artificial Intelligence, vol. 36, no. 11, pp. 12783–12791.

K. Bati. (2022). A systematic literature review regarding computational thinking and programming in early childhood education, Educ. Inf. Technol., vol. 27, no. 2, pp. 2059–2082.

K. Kereluik, P. Mishra, C. Fahnoe, and L. Terry. (2013). What knowledge is of most worth: Teacher knowledge for 21st century learning, J. Digit. Learn. Teach. Educ., vol. 29, no. 4, pp. 127-140.

L. Chen, P. Chen, and Z. Lin, (2020). Artificial intelligence in education: A review. Ieee Access, vol. 8, pp. 75264–75278.

N. Pellas. (2023). Exploring relationships among students’ computational thinking skills, emotions, and cognitive load using simulation games in primary education. J. Comput. Assist. Learn.

R. A. Griffin. (2023). A Comprehensive Literacy Approach: Integrating the Science and Art of Reading for Adolescents. Lit. Pract. Res., vol. 48, no. 2, p. 1.

R. Jocius, W. I. O’Byrne, J. Albert, D. Joshi, R. Robinson, and A. Andrews. (2021). Infusing computational thinking into STEM teaching. Educ. Technol. Soc., vol. 24, no. 4, pp. 166–179.

S. Fatimah and U. Mahmudah. (2020). How E-Learning Affects Students’ Mental Health During Covid-19 Pandemic: An Empirical Study. DWIJA CENDEKIA J. Ris. Pedagog., vol. 4, no. 1, pp. 114–12,

doi: 10.20961/jdc.v4i1.41991.

S. Tan-a-ram et al.(2022). KidBright: An Open-Source Embedded Programming Platform with a Dedicated Software Framework in Support of Ecosystems for Learning to Code. Sustainability, vol. 14, no. 21, p. 14528.

T. Muir, T. Douglas, and A. Trimble, “Facilitation strategies for enhancing the learning and engagement of online students,” J. Univ. Teach. Learn. Pract., vol. 17, no. 3, p. 8, 2020.

W. Sung and J. B. Black, Factors to consider when designing effective learning: Infusing computational thinking in mathematics to support thinking-doing, J. Res. Technol. Educ., vol. 53, no. 4, pp. 404–426, 2020.

X. Huang. (2021). Aims for cultivating students’ key competencies based on artificial intelligence education in China. Educ. Inf. Technol., vol. 26, pp. 5127–5147.

Z. Cui and O.-L. Ng. (2021). The interplay between mathematical and computational thinking in primary school students’ mathematical problem-solving within a programming environment. J. Educ. Comput. Res., vol. 59, no. 5, pp. 988–1012, 2021.

Downloads

Published

2024-06-05