Learning and Student Analytics is slowly and steadily making its way from research to practice. In the past decade, actionable research has been carried out stimulating policy makers and educators to take an ever increasing interest in applying these findings to educational practice. However, despite the available evidence, technology, and many examples of good practices, organisational uptake is slow.
One of the reasons for the slow adoption is the lack of dialogue and cross pollination between core expert groups (policy makers, educational researchers, computer scientists, educational system developers, data miners, infrastructure architects and vendors) in academia and practice. Many stakeholders groups are involved in or affected by Learning Analytics without being aware of it, making the sustainable scaled implementation of learning analytics interventions in practice a challenging endeavour at best. These include educational managers, educational designers, educational policy makers both at the organisational and regional level, student associations, employment agencies, ethics boards, data governance centres, technologists, and so forth. There is a need to involve this wider stakeholder group in this discussion, as they have urgent and substantial claims in this fast growing field.
From a research perspective there is a clear need from the community to maintain and evolve a structured Learning Analytics evidence base. This ongoing exercise also requires out of the box thinking in order to diminish barriers between learning analytics related theories, methods, and the available datasets, in a multidisciplinary environment that is later deployable at scale.
Therefore the aim of this conference is to bring together researchers and practitioners from a number of disciplines (e.g. education, technology, computer science, management, psychology, economics, IT security etc.), organisational and national policy makers, educational practitioners, students, employers to share and discuss the latest research insights related to learning and student analytics. The conference further provides a platform for stakeholders to engage in critical conversations about current trends and the policy requirements of Learning Analytics.
The conference is structured around the following three content blocks:
The organisers welcome abstracts or extended abstracts (max 1000 words) for the academic research parallel sessions and for the applied sessions. The applied sessions focus on practical problems, solutions and innovations related to the above-mentioned categories (privacy, designs and value of EWS, and LA dashboards).The academic submissions should be state-of-the-art learning and student analytics research. We encourage authors to target their abstracts at one of the intersections of the following Learning Analytics research spheres:
All abstracts will go through a blind peer-review process.
This conference is organised by the Amsterdam Center for Learning Analytics (ACLA) and the Eduworks-Network
ACLA is devoted to improving education and labour market outcomes by adopting a comprehensive approach towards learning analytics. ACLA conducts research- and educational activities using and combining insights from information technology and computer sciences, theories of behaviour, learning and education, and rigorous empirical evaluation methods. In doing so, ACLA seeks to provide a fundamental scientific contribution and to structurally improve the quality of education and labour markets for current and future generations.
The objective of the EDUWORKS-Network is to train talented early-stage researchers in the socioeconomic and psychological dynamics of the labour supply and demand matching processes at aggregated and disaggregated levels. Understanding how the matching process works can prevent mismatches with respect to skills and qualifications, and can lead to an improved balance between the supply of and demand for labour. EDUWORKS brings together researchers from several academic disciplines. namely: Labour Economics, Sociology of Occupations, HRM, Lifelong Learning and Knowledge Management.
Organising and Programme committee:
Dr. Ilja Cornelisz
Dr. Chris van Klaveren
Dr. Gábor Kismihók
Dr. Stefan T. Mol
Prof. Dr. Anwar Osseyran