Description
Contents List of Figures and Tables Notes on Contributors Introduction Part 1 Theoretical and ethical concerns 1 Big Data in academic research-Challenges, pitfalls, and opportunities Jacques Raubenheimer Part 2 Teaching people to use Big Data effectively 2 Big Data for Early Learners Peter Howley, Kevin Wang, Ayse Aysin Bilgin 3 Using Big Data in a Master of Applied Statistics unit Ayse Aysin Bilgin, Peter Howley 4 Statistical education as part of the digital transformation of statistical offices Markus Zwick, Sabine Khler Part 3 Using Big Data to improve teaching 5 Big data, analytics and education: Challenges, opportunities and an example from a large university unit Ron S. Kenett, Theodosia Prodromou 6 Enhancing learning outcomes with ‘big data’ from pedagogy for conceptual thinking with meaning equivalence reusable learning objects (MERLO) and interactive concept discovery (INCOD) Masha Etkind, Theodosia Prodromou, Uri Shafrir 7 Employing Authentic Analytics for More Authentic Tasks William Billingsley, Peter Fletcher 8 Learning from Learning Analytics: How much do we know about patterns of student engagement? Belinda A. Chiera, Malgorzata W. Korolkiewicz, Lisa J. Schultz Part 4 Educational systems that use Big Data 9 Museum Big Data: Perceptions and practices Georgios Papaioannou 10 Analysing aspects of Brazilian curricula for teaching statistics involving Big Data Carlos Eduardo Ferreira Monteiro, Maria Niedja Pereira Martins, Theodosia Prodromou Part 5 11 Concluding Comments Theodosia Prodromou
