Advancing Automated Analysis of Concept Maps at AIED24

Advancing Automated Analysis of Concept Maps at AIED24

Artificial Intelligence, Feedback, Higher Education, Learning Analytics, Publication, School, Workshop, Workshop
The 25th International Conference on Artificial Intelligence in Education (AIED 2024), held from July 8-12 in Recife, Brazil, was a significant event for the Highly Informative Learning Analytics Research Programme. This year marked the first Brazilian-German cooperation in this field, supported by the Alexander Humboldt Foundation, the DIPF in Frankfurt and IPN in Kiel under the ALICE project. Two workshop papers presented at the conference showcased innovative approaches to automatically analyze concept maps, promising to automate the way educators assess and understand the student-created context. #AIED24 #LearningAnalytics #ConceptMaps #AIinEducation #EducationalTechnology #MachineLearning #CulturalDiversity #RealTimeFeedback #EdTech #AI #Education #CrossCulturalCollaboration Paper 1: The Influence of Diverse Educational Contexts on Concept Map Structures Authors: Laís P. Van Vossen, Isabela Gasparini, Elaine H. T. Oliveira, Berrit Czinczel, Ute Harms, Lukas Menzel, Sebastian Gombert, Knut Neumann,…
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New pub: Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads

New pub: Predicting Item Difficulty and Item Response Time with Scalar-mixed Transformer Encoder Models and Rational Network Regression Heads

Artificial Intelligence, Assessment, Computational Psychometrics, Conference, Higher Education, Publication, Workshop
In a contribution to the BEA 2024 Shared Task, we addressed the challenge of predicting the difficulty and response time of multiple-choice questions from the United States Medical Licensing Examination® (USMLE®). This exam is an important assessment for medical professionals. To predict these variables, we evaluated various BERT-like pre-trained transformer models. We combined these models with Scalar Mixing and two custom 2-layer classification heads, using learnable Rational Activations as the activation function. This multi-task setup allowed us to predict both item difficulty and response time. The results were noteworthy. Our models placed first out of 43 participants in predicting item difficulty and fifth out of 34 participants in predicting item response time. This demonstrates the potential of advanced AI techniques in improving the evaluation processes of critical exams like the…
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Workshop: A Deep Dive into Multimodal Technologies for Skills Development

Workshop: A Deep Dive into Multimodal Technologies for Skills Development

Summer School, Workshop
  In the rapidly evolving landscape of education, the integration of technology in learning processes has become a pivotal element. The recent workshop on Multimodal Technologies for Skills Development, hosted at the JTEL summer school, stands as a testament to this transformation. The Workshop Overview The workshop, aptly titled "Multimodal Technologies for Skills Development (mute4skid)," was a comprehensive event that explored the utilization of AI and multimodal systems in the realm of education. It was structured in two parts, offering theoretical insights and practical applications. The speakers  The speakers for the "Multimodal Technologies for Skills Development" workshop were: Daniele Di Mitri, DIPF, Germany Jan Schneider, DIPF, Germany Bibeg Limbu, University of Duisburg Khaleel Asyraaf Mat Sanusi, Cologne Game Lab, TH Köln, Germany Roland Klemke, Open University of The Netherlands, The…
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Workshop @ JTELSS – “We can’t stop communicating – AI can help us to use this data for education”

Workshop @ JTELSS – “We can’t stop communicating – AI can help us to use this data for education”

Summer School, Workshop
At the 17th EATEL Summer School on Technology-Enhanced Learning (JTELSS 2023) in La Manga, Spain, Nina Mouhammad and Stefan Hummel conducted the workshop "We can't stop communicating - AI can help us to use this data for education." The workshop emphasized the importance of incorporating both verbal and nonverbal communication signals in technology-enhanced learning applications. Various examples highlighting successful implementations were discussed. The participants were divided into two groups to explore nonverbal and verbal communication, respectively. After engaging discussions, interactions and also prototype testing, the groups swapped to gain insights from both perspectives. To conclude the workshop on a creative note, participants formed small groups and designed either the worst presentation skills training app imaginable or a product box for a presentation skills training robot. This exercise sparked laughter while…
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New Pub: Considerations in Feedback and Periodization for the Multimodal Learning Experience of Running via Wearable Devices

New Pub: Considerations in Feedback and Periodization for the Multimodal Learning Experience of Running via Wearable Devices

Workshop
On September 13, during the MILeS 2022 – Multimodal Immersive Learning Systems workshop that took place at EC-TEL 2022 conference in Toulouse, France, the paper entitled Considerations in Feedback and Periodization for the Multimodal Learning Experience of Running via Wearable Devices was presented. This paper, which will appear in the CEUR Workshop Proceedings, was written by Fernando P. Cardenas-Hernandez, and Jan Schneider. Abstract. For the integral learning/training of a psychomotor activity such as running, it is necessary to target not only the physical aspects but also the technical and mental aspects that make it up, an alternative to solve this issue is through the understanding and consideration of feedback and periodization, which are elements that constitute and influence transcendentally and differently each of the three aspects involved. That is why,…
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New Pub: Meaningful Feedback from Wearable Sensor Data to Train Psychomotor Skill

New Pub: Meaningful Feedback from Wearable Sensor Data to Train Psychomotor Skill

Workshop
A new workshop paper was presented at the MILeS 2022 workshop written by Gianluca Romano entitled: Meaningful Feedback from Wearable Sensor Data to Train Psychomotor Skill. The MILeS 2022 – Multimodal Immersive Learning Systems workshop took place on the 13th of September at EC-TEL 2022 conference taking place in Toulouse, France. The paper will appear in the CEUR proceedings. Abstract. Learning psycho-motor skills requires feedback for improvement and give insight on performance. However, providing feedback is not trivial. Every learner is different and the same feedback might not work for everyone. The workshop aims to make participants aware of the problematic transition from analyzed wearable sensor data to meaningful feedback. Thus, the participants will get more familiar with wearable sensor data and directly experience how learners might want to receive feedback that they deem…
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New Pub: Actionable Components of a Model for Augmented Feedback

New Pub: Actionable Components of a Model for Augmented Feedback

Feedback, Higher Education, Multimodal Learning Analytics, Workshop
A new workshop paper was presented at the MILeS 2022 workshop written by Daniele Di Mitri, Sebastian Gombert, Onur Karademir entitled: Reflecting on the Actionable Components of a Model for Augmented Feedback. The MILeS 2022 – Multimodal Immersive Learning Systems workshop took place on the 13th of September at EC-TEL 2022 conference taking place in Toulouse, France. The paper will appear in the CEUR proceedings. Abstract. In this paper, we introduce the concept of "Augmented feedback'' as an enhanced version of traditional educational feedback enriched by digital data and artificial intelligence. To provide an operational definition of augmented feedback, we acknowledge previous research in the fields of technology-enhanced learning and learning analytics. We argue why augmented feedback constitutes a promising research direction for the future of learning. We define the…
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