Modes of Representation in Developing Statistical Thinking in Education

Sofia D. Anastasiadou, Lamprini Seremeti

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English

Information Science Publishing
29 May 2025

Teaching skills & techniques; Probability & statistics; Educational: Mathematics & numeracy

Developing the ability to understand and use multiple representations is vital for deepening students' comprehension of statistical, probabilistic, and mathematical concepts. This skill enhances problem-solving by enabling learners to translate ideas across various forms, leading to more flexible and meaningful understanding. Representational competency is closely linked to communication, critical thinking, and the ability to engage with real-world data. Moreover, students' attitudes, emotions, and self-confidence significantly influence their motivation and success in these subjects. Strengthening these aspects in education can lead to more effective learning experiences and greater long term achievement in math and statistics. Modes of Representation in Developing Statistical Thinking in Education explores different modes of representations in teaching and learning statistical, probabilistic notions, and attitudes in developing statistical thinking in education. By bringing together contributions from global experts, the volume fosters interdisciplinary collaboration, inspires new research directions, and provides the knowledge and tools necessary to navigate the evolving landscape of statistics education. Covering topics such as artificial intelligence, mathematics education, and web tools, this book is an excellent resource for researchers, academicians, educators, policymakers, data scientists, and more.

Edited by: Sofia D. Anastasiadou, Lamprini Seremeti
Imprint: Information Science Publishing
Country of Publication: United States
Dimensions: Height: 254mm, Width: 178mm,
ISBN: 9798369399354
Pages: 306
Publication Date: 29 May 2025
Audience: College/higher education , Professional and scholarly , Primary , Undergraduate
Format: Paperback
Publisher's Status: Active

Lamprini Seremeti is a Collaborative Academic Staff at Frederick University since 2017. She is also a Lecturer in Programming in the Department of Agricultural Economics & Rural Development at the School of Applied Economics and Social Science of the Agricultural University of Athens. Her teaching experience in Higher Education Institutions, since 2005, involves cognitive subjects such as expert systems, artificial intelligence, semantic web, business management, programming languages, calculus, algebra, statistics, differential equations, research methodology, informatics applied in pedagogy. She has also served as a teacher of Informatics, Mathematics and Special Education in Primary and Secondary Schools, since 2001.Dr Seremeti holds a PhD in Computer Science with a focus on propagating knowledge in networks of aligned ontologies from Hellenic Open University; a Master in Special Education from University of Rome; a Master in Pure Mathematics from University of Patras; a Bachelor in Mathematics from University of Patras; a Bachelor in Informatics from University of Western Greece; and a Bachelor in Law from University of Nicosia. She has also participated as a researcher in EU-funded projects, in which, her tasks involved mathematical modeling, data processing, knowledge representation and management, and conceptualization of heterogeneous environments (socio-economic, educational, biomedical, ambient intelligent). Dr Seremeti has published her research work in peer-reviewed international journals (14 articles) and book chapters (5 articles), and has presented her work in international peer-reviewed conferences (30 articles). Her research interests focus on theories applied in inclusive education, interpretation of Law in ambient intelligent environments, knowledge representation and management through ontologies, mathematical modeling.