Open Learning Analytics: A Systematic Literature Review and Future Perspectives

Muslim, Arham; Chatti, Mohamed Amine; Guesmi, Mouadh

doi:10.1007/978-3-030-41099-5_1

Cited by 10 publications

(4 citation statements)

References 77 publications

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“…OLA is a relatively new research area that refers to an open platform to integrate heterogeneous LA approaches. The term openness is yet not clearly defined, but it usually refers to many things concerning LA, such as 1) architecture, processes, algorithms, tools, and methods; 2) access and participation; 3) datasets, etc [14]. OLA needs open-source software that uses open procedures, algorithms, and technologies to make it simple for researchers and developers to integrate their own tools and approaches with the platform.…”

Section: Open Learning Analyticsmentioning

confidence: 99%

Ethical Challenges in Open Learning Analytics

Fetahović,

Mekić,

Kuk

et al. 2023

SPSUNP

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Open learning analytics (OLA) is a new research field focusing to create an open platform for integration of heterogeneous learning environments. The central notion in OLA is openness, and it relates to architectures, processes, access, and datasets. Learning analytics (LA) usually employs artificial intelligence (AI) technologies and machine learning (ML) algorithms to provide information and predictions, thus enhancing learning experience. AI-based systems provide many benefits, but their implementation raises ethical concerns due to wide range of possible negative consequences. OLA approach amplifies ethical concerns related to AI-based systems, such as privacy, transparency, bias, fairness, etc. In this paper we discuss a comprehensive list of ethical issues in OLA along with mitigations procedures.

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Section: Open Learning Analyticsmentioning

confidence: 99%

Ethical Challenges in Open Learning Analytics

Fetahović,

Mekić,

Kuk

et al. 2023

SPSUNP

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“…In this context, the project explores ways in which data analytics can be deployed ethically and in ways that actively reinforce democracy and dialogue, committing to the concepts of open scientific data and open analytics methods (Muslim et al 2020) and in recognising the generated data from confidential information and interactions through channels, workshops and focus groups is appropriately deeply anonymised. Once anonymised the sources of data will be transparent, the analytics deployed in the project inspectable, and the analytics processes described in plain English terms.…”

Section: It (The Data and Processmentioning

confidence: 99%

The Application of Games to Engage Citizens in Climate Change Policy Development

Hollins

2023

ECGBL

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This paper introduces the Games Realising Effective and Affective Transformation (GREAT) research and Innovation project. The project will examine the emerging ways Applied Games could be used to facilitate the social engagement of European citizens in determining future policy priorities and policy interventions to the existential challenge of climate change. This full paper is a provides detail of the work in progress but moreover provides a a conceptual analysis of the methodologies applied to this emerging domain of study. The project is funded by the EU Horizon programme with UK Associate partners funded through UKRI and coordinated by the DIPF, Leibniz Institute for Research and Information in Education, Frankfurt and involves seven partners located across Europe, Serious Games Interactive (SGI) Denmark, Centre for Social Innovation (ZSI) Austria, International University of Rioja (UNIR) Spain, Frederick University, Cyprus, Playmob and The University of Bolton (UoB) as UK associate partners. The project incorporates collaborative design and citizen science methods and brings together researchers with expertise in the areas of games, data analytics, and policy development. This integrated investigation will be articulated by case studies of the use of games in facilitating dialogue between citizens and policy stakeholders including policy makers, policy implementers, political parties, campaigning organisations and affected citizens. This will be achieved by leveraging the central role of games in contemporary culture by combining academic studies with practical experimentation of novel applications of games. The context for the research is the global challenge of climate emergency, and each case study incorporates a research cycle addressing a policy issue and research questions, using multiple pilots to generate both quantitative and qualitative and data to further inform research activity.

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“…While xAPI so far is only actively used by a minority of practitioners that are making use of educational technologies (Torrance, 2019), and while it is also taken up rather slowly even in the field of learning analytics (e.g. Muslim et al, 2020), the specification has already been integrated into a broad variety of technical systems, applications and services (cf. Rustici Software, n.d.b).…”

Section: (Some) Current Applications Of Xapimentioning

confidence: 99%

Towards a Closer Look at the Pipes and Joints of Educational Data Infrastructures

Richter

Raffel

Allert

2021

seminar

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More recently, scholars in the field Critical Data Studies have turned attention to the infrastructures by means of which educational data is produced, processed, circulated, and consumed. While respective studies have rightly emphasized the social, cultural, political, and economic factors that are shaping these infrastructures, the technical dimension of these developments has remained largely unexplored. As a consequence, analyses are easily deemed irrelevant by technologists and designers engaged in educational datamining and learning analytics. This paper therefore aims to broaden the analytic scope of Critical Data Studies in education and to engage more closely with the technical dimension of the emerging educational data infrastructures. Towards this end, the paper outlines a technogenetic account of (digital) infrastructures and standards, and provides a case-study to illustrate how this account can be leveraged to unravel assumptions and perspectives implied in an educational technology standard such as the Experience API. The results of the case study indicate that while the Experience API is highly abstract and generic nature, it lends itself to a rather restricted idea of learning and education.

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Open Learning Analytics: A Systematic Literature Review and Future Perspectives

Cited by 10 publications

References 77 publications

Ethical Challenges in Open Learning Analytics

Ethical Challenges in Open Learning Analytics

The Application of Games to Engage Citizens in Climate Change Policy Development

Towards a Closer Look at the Pipes and Joints of Educational Data Infrastructures

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