cover
Contact Name
Indah Langitasari
Contact Email
educhemia@untirta.ac.id
Phone
-
Journal Mail Official
educhemia@untirta.ac.id
Editorial Address
Department of Chemistry Education - Universitas Sultan Ageng Tirtayasa Address : Jl. Ciwaru Raya No. 25, Sempu, Kota Serang, Banten 42117, Indonesia
Location
Kab. serang,
Banten
INDONESIA
EduChemia: Jurnal Kimia dan Pendidikan
Focus and Scope Educhemia (Jurnal Kimia dan Pendidikan) is Periodicals published the results of research related to the development of science and technology in the field of Chemistry and Chemistry education as a form of intellectual property Chemistry: Organic chemistry, Inorganic chemistry, Biochemistry, Physical chemistry, Analytical Chemistry, Environmental Chemistry, Material chemistry, Ethnochemistry. Chemistry education: chemistry learning design and model, chemical education curricula, Technology innovation and media/multimedia in chemistry learning, development of evaluation tools, lesson study and classroom action research
Articles 11 Documents
Search results for , issue "Vol 9, No 2 (2024)" : 11 Documents clear
Profile of Computational Thinking Skills of Pre-Service Chemistry Teachers Langitasari, Indah; Mudzakir, Ahmad; Sunyono, Sunyono; Nugraha, Asep Wahyu
EduChemia: Jurnal Kimia dan Pendidikan Vol 9, No 2 (2024)
Publisher : Department of Chemistr Education Faculty of Teacher Training and Education Universitas Su

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30870/educhemia.v9i2.29554

Abstract

This study aims to analyze the computational thinking (CT) skills of pre-service chemistry teachers using a set of twelve test items adapted from the international CT Bebras Challenge. The items represent three difficulty levels: easy, medium, and hard. The CT components assessed include algorithmic thinking, abstraction, and pattern recognition. A descriptive quantitative method was employed, involving students from a chemistry teacher education program. The responses were scored and analyzed using descriptive statistics to identify trends in students’ CT performance across components and difficulty levels. The results show varied levels of proficiency, with higher performance in pattern recognition tasks and lower performance in algorithmic thinking. These findings highlight the importance of embedding CT skill development in chemistry education and teacher training curricula.

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