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Wole Michael Olatokun; Oluyemi Folorunso Ayanbode; Sunday Oluwadare Oladipo – Education and Information Technologies, 2025
This study examined the data science career preference, data science skills, and core competencies of 416 students from fourteen Nigerian universities using a Google Forms-created structured online questionnaire. A convenience sampling technique was adopted to select the participants. Data were analysed using both descriptive and inferential…
Descriptors: Data Science, Preferences, College Students, Foreign Countries
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Komp, Evan A.; Pelkie, Brenden; Janulaitis, Nida; Abel, Michael; Castillo, Ivan; Chiang, Leo H.; Peng, You; Beck, David C.; Valleau, Stéphanie – Chemical Engineering Education, 2023
We present a two-week active learning chemical engineering hackathon event specifically designed to teach undergraduate chemical engineering students of any skill level data science through Python and directly apply this knowledge to a real problem provided by industry. The event is free and optional to the students. We use self-evaluation surveys…
Descriptors: Data Science, Undergraduate Students, Learning Activities, Chemical Engineering
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Toshiya Arakawa; Haruki Miyakawa – Technology, Knowledge and Learning, 2025
Data science education in Japan extends from elementary to high school students. However, some studies show that this has not enhanced interest or curiosity in data science. Therefore, gamification appears to be an efficient method for encouraging high school students' interest in data science, with research indicating that video games are…
Descriptors: Data Science, Educational Games, Statistics Education, Foreign Countries
Aparajita Jaiswal – ProQuest LLC, 2022
The discipline of data science has gained substantial attention recently. This is mainly attributed to the technological advancement that led to an exponential increase in computing power and has made the generation and recording of enormous amounts of data possible on an everyday basis. It has become crucial for industries to wrangle, curate, and…
Descriptors: Data Science, Skill Development, Undergraduate Students, Science Process Skills
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Renu, N.; Sunil, K. – Higher Education for the Future, 2023
Integration of computational data science (CDS) into the university curriculum offers several advantages for students, faculty and the institution. This article discusses the benefits to students of introducing CDS into the university curriculum with a focus on developing skills in cheminformatics, data analysis, structure--activity relationships,…
Descriptors: Data Science, Higher Education, College Students, Skill Development