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(SpringerBriefs in Business Process Management) Learning Analytics Cookbook_ How to Support Learning Processes Through Data Analytics and Visualizatio

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Chapter 2

Learning Analytics Kitchen

Abstract Among trending topics that can be investigated in the field of educational

technology at present—Massive Open Online Courses (MOOCs), Open Educational

Resources (OERs), wearables, and so on—there is a high demand for using educational

data to improve the whole learning and teaching cycle, from collecting and

estimating students’ prior knowledge of a subject to the learning process and its

assessment. Therefore, educational data science cuts through almost all educational

technology disciplines. Before we can start applying learning analytics, it is good to

have more holistic understanding of learning analytics and its surrounding environment.

This chapter describes the field of learning analytics and recent research to

give a better overview of the concept.

Keywords Framework · Dimensions · Scope

2.1 Defining the Learning Analytics Niche

Using data to inform decision-making in education and training is not new, but the

scope and scale of its potential impact on teaching and learning has increased by

orders of magnitude over the last few years. We are now at a stage at which data can

be automatically harvested at high levels of granularity and variety. Analysis of these

data has the potential to provide the evidence-based insights into learners’ abilities

and patterns of behavior that can guide curriculum design and delivery to improve

outcomes for all learners and change assessments from mainly quantitative and

summative to more qualitative and formative, thereby contributing to national and

European economic and social well-being.

Data science extracts knowledge and insights from data, and data science in the

educational context is termed learning analytics. Learning analytics is an umbrella

term for data-science-related research questions from overlapping fields like the

educational, computer, and data science fields. The umbrella term has many facets

and can be described from many levels and angles.

Learning analytics can be applied to the single-course level, a collection of

courses, or a whole curriculum. Buckingham Shum (2012) introduced the notion

© The Author(s) 2020

R. Jaakonmäki et al., Learning Analytics Cookbook, SpringerBriefs in Business

Process Management, https://doi.org/10.1007/978-3-030-43377-2_2

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