Learning Analytics Kitchen

Jaakonmäki, Roope; Dietze, Stefan; Drachsler, Hendrik; Fortenbacher, Albrecht; Helbig, René; Kickmeier-Rust, Michael D.; Marenzi, Ivana; Suárez, Ángel; Yun, Haeseon

doi:10.1007/978-3-030-43377-2_2

Cited by 1 publication

(2 citation statements)

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“…From the perspective of monitoring learning, on a more general level questions regarding student attention focus and experienced difficulty during tasks could be answered with the help of learning analytics. The term learning analytics defines extraction of meaning from learning-related data (Jaakonmäki et al, 2020). It can be used for optimising learning and teaching based on data-driven measurements and predictions and making the educational process more transparent (Jaakonmäki et al, 2020).…”

Section: Cognitive Componentmentioning

confidence: 99%

“…The term learning analytics defines extraction of meaning from learning-related data (Jaakonmäki et al, 2020). It can be used for optimising learning and teaching based on data-driven measurements and predictions and making the educational process more transparent (Jaakonmäki et al, 2020). Stracke and Skuballa (2021) proposed to apply eye tracking on different levels of education as a data collection and diagnostic tool within an emerging evaluation framework: for insights about teacher work and instructional materials at the micro-and meso-levels, and for making decisions about those on the macrolevel policy level.…”

Section: Cognitive Componentmentioning

confidence: 99%

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Applying Eye-Tracking Technology in the Field of Entrepreneurship Education

Kaminskienė

Horlenko

Chu

2022

FGF Studies in Small Business and Entrepreneurship

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Eye-tracking application in social sciences including entrepreneurship education has increased significantly in the recent years. This technology has been used to investigate the learning process and how to foster it through instructions delivered, material used and the learning environment created. Traditional research with eye-tracking application mainly concentrates on visual aspects in the learning process including but not limited to text comprehension. A growing area of eye-tracking technologies is focused on entrepreneurship education including teacher education because schools are considered as an important stage for developing entrepreneurial competences.In general, the area of the application of eye tracking has become extremely wide in different sciences which also positively contributes to research in education. Transdisciplinary and multidisciplinary approaches are helpful to ensure multiple perspective as well as to ensure the validity of research data and results.This chapter is an attempt to critically reflect on how eye-tracking methodology is applied for research on entrepreneurship education and what are growing methodological challenges in it. At the end some implications for further studies in the field of entrepreneurship education are discussed as well as limitations of eye-tracking-based studies are highlighted.

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Section: Cognitive Componentmentioning

confidence: 99%