The Ecology of Analytics in Education: Stakeholder Interests in Data-Rich Educational Systems

Berthelsen, Ulf Dalvad; Tannert, Morten

doi:10.3991/ijai.v1i1.11023

Cited by 3 publications

(3 citation statements)

References 32 publications

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“…In addition, there is still a need for further empirical studies on the use of digital learning materials in the classroom with special emphasis on how students actually utilize the different affordances that digital learning materials make available. In addition, although we have approached the question of digitization in the L1 subject from the perspective of learning materials, one of the key rationales behind the digitization of learning environments in general concerns issues relating to data-driven education (Berthelsen & Tannert, 2019). This represents an important direction for future research.…”

Section: Resultsmentioning

confidence: 99%

Utilizing the affordances of digital learning materials

Berthelsen¹,

Tannert²

2020

L1 Educational Studies in Language and Literature

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Due to the all-pervasive digital transformation of education, learning materials have developed considerably in terms of their form, function and content over recent decades. This development from print-based to digital formats carries with it a corresponding transformation of materiality that may not be apparent, yet plays an important role in shaping contemporary learning environments. Obviously, this transformation is of relevance for the design of learning materials and has implications for how we assess and study digital learning materials. However, the process of designing learning materials with a view to utilizing the many possibilities of contemporary digital technologies is no trivial task. Consequently, a focal point in the study of learning materials must concern the utilization of these new possibilities. For that purpose, we develop a framework for analyzing digital learning materials based on the notion of affordance. We use this framework to study how six courses from a widely used digital form of Danish L1 learning material integrate different kinds of affordances into their learning designs. Based on the results of our analysis, we also discuss the implications of this material transformation.

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Section: Resultsmentioning

confidence: 99%

Utilizing the affordances of digital learning materials

Berthelsen¹,

Tannert²

2020

L1 Educational Studies in Language and Literature

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“…In this article, I have therefore attempted to highlight the need for an approach to writing research that accommodates critiques of reductionism and technocentrism by bridging the gap between technology-centered and human-centered approaches for studying writing. It is of course nothing new to claim that data analysis and interpretation go hand in hand, but this perspective is often lacking in many discussions on the potential of CL and data science at large, particularly in discussions on policymaking (Berthelsen & Tannert, 2019). This means that too much emphasis is put on the data itself without paying sufficient attention to how this data can be meaningfully interpreted and made sense of within an educational framework, which by nature is normative and contested.…”

Section: Discussionmentioning

confidence: 99%

Computing Numerical Images of Student Writing

Tannert

2021

Scanstudlang

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With the rapid increase in the number of available digital texts in schools, new methodological approaches to studying writing development in education are now emerging. However, with new methodological approaches follow new epistemological challenges. In this article, I examine some of these challenges and discuss how they affect the role of computational linguistics within the field of educational writing research. The article is structured around three main sections. First, I position computational linguistics within the wider field of educational writing research with particular focus on L1 writing and K12 education. Second, I discuss to what extent methods from computational linguistics can provide us with new insights into different aspects of educational writing. Third, I discuss the potential of the concept of affordance to bridge between technology-centered and human-centered methodological approaches, and I relate this idea to recent theoretical developments in the digital humanities. Based on this discussion, I conclude the article with suggestions for possible directions in future writing research.

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“…The third article, authored by Ulf Dalvad Berthelsen and Morten Tannert [3], also adopt the stakeholder perspective but examine in this case Danish case of ICT integration in primary and lower secondary school in order to study cases of emerging and at times conflicting stakeholder interests. The authors propose an ecological perspective on the role of analytics in education.…”

Section: Overview Of Papers In the First Issuementioning

confidence: 99%

Editorial of the First Issue of the International Journal of Learning Analytics and Artificial Intelligence for Education

Nouri

2019

iJAI

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In this editorial, the first issue of the <em>International Journal of Learning Analytics and Artificial Intelligence for Education </em>is presented. The Journal of Learning Analytics and Artificial Intelligence for Education is a peer-reviewed, open access journal that aim to disseminate highest quality research in the field. The journal aims to increase knowledge and understanding of ways in which learning analytics and artificial intelligence can support and enhance education. The editorial presents the scope and fields of interest for the journal, and an overview of the articles published in the first issue.

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The Ecology of Analytics in Education: Stakeholder Interests in Data-Rich Educational Systems

Cited by 3 publications

References 32 publications

Utilizing the affordances of digital learning materials

Utilizing the affordances of digital learning materials

Computing Numerical Images of Student Writing

Editorial of the First Issue of the International Journal of Learning Analytics and Artificial Intelligence for Education

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