New pub: A Human-centric Approach to Explain Evolving Data

New pub: A Human-centric Approach to Explain Evolving Data

Conference
A recent study led by Gabriella Casalino at the University "Aldo Moro" of Bari, Italy in collaboration with Daniele Di Mitri highlights the importance of transparency and explainability in Machine Learning models used in educational environments. As we embrace this technological shift driven by AI in education, it is imperative to address the ethical considerations surrounding AI applications in educational settings. A recent study has underscored the critical importance of transparency and explainability in machine learning models utilized in educational environments. At the forefront of this study is the introduction of DISSFCM, a dynamic incremental classification algorithm that harnesses the power of fuzzy logic to analyze and interpret students' interactions within learning platforms; by offering human-centric explanations, the research endeavours to deepen stakeholders' understanding of how AI models arrive at…
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Paper and presentation about the topic of detecting disengaged reading at LAK23

Paper and presentation about the topic of detecting disengaged reading at LAK23

Conference, Conference, Event, Higher Education, Publication, Research topic, Self-Regulation, Target group
At the recent Learning Analytics and Knowledge Conference (LAK23), Daniel Biedermann presented his paper "Detecting the Disengaged Reader - Using Scrolling Data to Predict Disengagement during Reading," to shed light on the potential for early detection of disengagement in readers. The paper presents a unique method for early disengagement detection that relies solely on the classification of scrolling data. By transforming scrolling data into a time series representation, each point of the series represents the vertical position of the viewport in the text document. Time series classification algorithms are then used to evaluate the data.The results were promising, with the method able to classify disengagement early with up to 70% accuracy. However, the study also observed differences in performance depending on which texts were included in the training dataset. Biedermann…
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Keynote: Artificial Intelligence and Immersive Technologies for Feedback Augmentation

Keynote: Artificial Intelligence and Immersive Technologies for Feedback Augmentation

Invited talk, Keynote
On 5th October 2022, Dr Daniele Di Mitri was invited to give a keynote workshop at the SITE interactive online conference. Keynote Workshop: Artificial Intelligence and Immersive Technologies for Feedback Augmentation Abstract: Twenty-first-century learners are continuously required to nurture their competencies by acquiring new knowledge and mastering new skills. A way to meet this significant demand for learning is to offer learners continuous instruction and timely feedback. In the internet era, learners have access to a large variety of educational content outside formal education curricula, including online courses or video lectures. Unfortunately, access to content alone is not sufficient for guaranteeing learning. What is needed, and often lacking, is proper guidance and feedback. Artificial Intelligence (AI) systems can provide automatic, personalised, real-time feedback to learners in distance learning settings when…
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New Pub: Superpowers in the Classroom: Hyperchalk is an Online Whiteboard for Learning Analytics Data Collection

New Pub: Superpowers in the Classroom: Hyperchalk is an Online Whiteboard for Learning Analytics Data Collection

Computer-supported collaborative learning, Conference, Conference, Event, Further Education, General education, Higher Education, Learning Analytics, Lifelong Learning, Publication, School, Technical paper
A new system demonstration paper authored by Lukas Menzel, Sebastian Gombert, Daniele Di Mitri and Henrik Drachsler has been released as part of the ECTEL 2022 proceedings. In this paper, we present Hyperchalk, a self-hosted collaborative online whiteboard software. Similar to commercial solutions like Miro or Flinga, this software provides users with collaborative boards which they can use to draw, write or sketch together. However, unlike commercial solutions, Hyperchalk allows for collecting rich log data, which can be used to study the behaviour of its users and to allow Learning Analytics and studies on computer-supported collaborative learning. Moreover, Hyperchalk comes with a built-in replay mode which allows watching how users behave in its spaces. It supports the LTI1.3 standard, which enables seamless integration with learning management systems such as Moodle,…
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Learning Analytics Workshop at DELFI 2020

Learning Analytics Workshop at DELFI 2020

Conference, Workshop
On behalf of the Arbeitskreis Learning Analytics (Learning Analytics Working Group of the German Informatics Society) the digLL innovation-forum Trusted Learning Analytics organised and lead the workshop Learning Analytics on 14th September 2020 as part of the pre-conference workshops of the biggest German eLearning conference DELFI. Due to corona the workshop was fully online. This year, the workshop was focused on „Trusted Learning Analytics“ lead by Oliver Herrmann of the Goethe University Frankfurt am Main and „Data Literacy“ with Sven Judel of the RWTH Aachen.
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TLA presented at Learning Analytics Learning Network (LALN)

TLA presented at Learning Analytics Learning Network (LALN)

Conference, Workshop
On 4th September 2020 Oliver Herrmann presented the current state of Trusted Learning Analytics (TLA) at a Learning Analytics Learning Network (LALN) workshop. LALN is a worldwide network of LA researchers. The workshop was held as a video conference as part of DELFI, Germany’s leading eLearning research conference. After the presentation, the meaning of “trusted” have been discussed in an international context, that brought new perspectives to be included in further research on TLA.  
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