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Ismail, Azlan; Mutalib, Sofianita; Haron, Haryani – Education and Information Technologies, 2023
This article discusses the key elements of the Data Science Technology course offered to postgraduate students enrolled in the Master of Data Science program. This course complements the existing curriculum by providing the skills to handle the Big Data platform and tools, in addition to data science activities. We tackle the discussion about this…
Descriptors: Data Science, Graduate Study, Masters Programs, Graduate Students
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Atenas, Javiera; Havemann, Leo; Timmermann, Cristian – International Journal of Educational Technology in Higher Education, 2023
This paper presents an ethical framework designed to support the development of critical data literacy for research methods courses and data training programmes in higher education. The framework we present draws upon our reviews of literature, course syllabi and existing frameworks on data ethics. For this research we reviewed 250 research…
Descriptors: Critical Literacy, Data Analysis, Ethics, Research Methodology
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John Levendis; Nuwan Indika – Decision Sciences Journal of Innovative Education, 2025
Business analytics is a fast-growing field that requires a combination of technical, analytical, and communication skills. This article aims to identify the most sought after skills for business analytics jobs based on a content analysis of over 2600 online job postings. The results show that the top skills include analytics, communication,…
Descriptors: Business Skills, Data Analysis, Content Analysis, Occupational Information
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Alderson, David L. – INFORMS Transactions on Education, 2022
This article describes the motivation and design for introductory coursework in computation aimed at midcareer professionals who desire to work in data science and analytics but who have little or no background in programming. In particular, we describe how we use modern interactive computing platforms to accelerate the learning of our students…
Descriptors: Curriculum Design, Introductory Courses, Computation, Data Science
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Susie Gronseth; Amani Itani; Kathryn Seastrand; Bettina Beech; Marino Bruce; Thamar Solorio; Ioannis Kakadiaris – Journal of Interactive Learning Research, 2025
This study examines the design, implementation, and evaluation of a Digital Educational Escape Room (DEER) titled "Escape from the Doctor's Office," developed to enhance artificial intelligence/machine learning (AI/ML) literacy. Grounded in constructivist pedagogy and behaviorist principles, the DEER was designed using the ADDIE…
Descriptors: Educational Games, Artificial Intelligence, Technological Literacy, Teamwork
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Herro, Danielle; Madison, Matthew; Arastoopour Irgens, Golnaz; Hirsch, Shanna; Abimbade, Oluwadara; Adisa, Oluwajoba – Journal of Technology and Teacher Education, 2022
Data science and computational thinking (CT) skills are important STEM literacies necessary to make informed daily decisions. In elementary schools, particularly in rural areas, there is little instruction and limited research towards understanding and developing these literacies. Using a Research-Practice Partnership model (RPP; Coburn &…
Descriptors: Elementary School Teachers, Data Science, Curriculum Design, Faculty Development