Learning Management System Based on Assessment for Learning to Improve Computational Thinking

Authors

  • Odhitya Desta Triswidrananta State Polytechnic of Malang, Indonesia
  • Agung Nugroho Pramudhita State Polytechnic of Malang, Indonesia
  • Indra Dharma Wijaya State Polytechnic of Malang, Indonesia

DOI:

https://doi.org/10.3991/ijim.v16i04.28979

Keywords:

Learning Management System, Assessment for Learning, Computational Thinking

Abstract


There was a change in the implementation of education policies in the emergency period of the spread of the covid-19 virus, the learning process was carried out from home online using various learning resources. This condition triggers the emergence of behavioural problems and student competence in Indonesia. One of the distance learning media that was carried out during the pandemic was using the Learning Management System (LMS). Not only that, a policy evaluation needs to be carried out to evaluate the distance learning system that has been implemented in universities. This is because technology-based distance learning requires a different approach in terms of planning, implementation and evaluation. To increase the effectiveness of learning can use the assessment for learning (AfL) model. The learning process is also expected to be in accordance with learning that directs to have a computational thinking approach which is much needed considering that problem-solving skills are needed in solving everyday problems. Based on the results of data analysis with the 4D development model (define, design, develop, and disseminate), a learning management system based on assessment for learning to improve computational thinking abilities got an average score of 85.2, which means it can be implemented well.

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Published

2022-02-28

How to Cite

Triswidrananta, O. D. ., Pramudhita , A. N. ., & Wijaya , I. D. . (2022). Learning Management System Based on Assessment for Learning to Improve Computational Thinking. International Journal of Interactive Mobile Technologies (iJIM), 16(04), pp. 150–158. https://doi.org/10.3991/ijim.v16i04.28979

Issue

Section

Short Papers