Big Data in Education: Pedagogy and Research

Big Data in Education: Pedagogy and Research

Prodromou, Theodosia

Springer Nature Switzerland AG

10/2022

247

Mole

Inglês

9783030768430

15 a 20 dias

Descrição não disponível.
Part 1: Theoretical and ethical concerns.- 1 Big Data in academic research-Challenges, pitfalls, and opportunities.- Part 2: Teaching people to use Big Data effectively.- 2 Big Data for Early Learners.- 3 Using Big Data in a Master of Applied Statistics unit.- 4 Statistical education as part of the digital transformation of statistical offices.- Part 3: Using Big Data to improve teaching.- 5 Big data, analytics and education: Challenges, opportunities and an example from a large university unit.- 6 Enhancing learning outcomes with 'big data' from pedagogy for conceptual thinking with meaning equivalence reusable learning objects (MERLO) and interactive concept discovery (INCOD).- 7 Employing Authentic Analytics for More Authentic Tasks.- 8 Learning from Learning Analytics: How much do we know about patterns of student engagement?.- Part 4: Educational systems that use Big Data.- 9 Museum Big Data: Perceptions and practices.- 10 Analysing aspects of Brazilian curricula for teaching statistics involving Big Data.- Part 5: Concluding Comments.
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learning analytics (LA);educational data;Primary education;Secondary education;data analytics;interactive Concept Discovery (InCoD, Knowledge Repository (KR);Information quality (InfoQ);cognitive apprenticeships;Statistics Education Research;cognitive apprenticeships;National Statistical Institutes (NSI);Basic Education Curricula