Supporting Future Teachers to Promote Computational Thinking Skills in Teaching STEM—A Case Study
Sustainability
; 14(19):12663, 2022.
Article
in English
| ProQuest Central | ID: covidwho-2066446
ABSTRACT
In recent years, teachers in various fields, such as science, mathematics, linguistics and others, have been interested in alternative learning strategies as opposed to traditional activities, in order to help students to examine their learning progress. The integration of computational thinking in teaching activities, after returning to face-to-face activities, can meet the needs of students during the COVID-19 pandemic. In this research, two samples of students in their first year of study were recruited for the teacher training program validation for computational skills in STEM education. The training model offers an explanation for the differences between the following two sets of data the CT modules used in a substantial number of teacher workshops, and the results obtained, which are closely related to the argument that teachers can support students’ lifelong learning by developing computational thinking activities. The results related to the students’ scores may have contributed to their improvement in computational thinking skills and it could be one of the best examples of how to change the ways of learning about 21st century skills and sustainable education.
Environmental Studies; computational thinking; STEM; teacher training; sustainable education; Pandemics; Problem solving; Teaching; Lifelong learning; Womens health; Students; Collaboration; Curricula; Skills; Mathematics education; Families & family life; STEM education; Training; Computer applications; COVID-19; Technical education; Economic growth; Distance learning; Labor market; Technology education; Linguistics; Environmental education; Sustainable development; Science education; Weight control; Teachers; Human capital; Quality of education; Learning; Critical thinking; Education
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Case report
Language:
English
Journal:
Sustainability
Year:
2022
Document Type:
Article
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