Research topic Archives - Page 4 of 21

Nov182024 by Heather WehnerNo Comments

New Pub: Understanding Learning Engagement in Asynchronous Online Settings

Higher Education, Journal, Learning Analytics, Publication

A newly published study illustrates the complexities of learning engagement (LE) in asynchronous online settings (AOSs) for university students. For university students it can be difficult to learn in such environments since these lack real-time interactions. This also makes it difficult for teachers to measure how engaged students actually are with their study materials. Through trace data, learning analytics can be used as a foundation to analyze students’ learning methods and LE. The study investigates whether LE can be characterized by the sub-dimensions: effort, attention and content interest. The study also explores the question of which trace data from student behavior within AOSs can best represent these factors of LE in self-reports. The research involved 764 university students and utilized best-subset regression analysis to determine which indicators most reliably represent…

Nov82024 by Heather WehnerNo Comments

PhD Defense on Software Infrastructure for Contextualized Learning Analytics in Online Education

Learning Analytics, PhD defense

We warmly congratulate our esteemed alumni George-Petru Ciordas-Hertel on the successful defense of his PhD thesis this past Tuesday, 05.11.2024! Way to go, Dr. George! We are proud of you for achieving this milestone! At universities we have seen a big shift to online education in the past ten years, as universities have continuously integrated technology into educational environments. This development has brought students and educators new possibilities, but also challenges. A promising method is Learning Analytics (LA), which uses data to gain insights into learning behaviors and enhance educational outcomes. In his dissertation, George highlights a critical limitation in traditional learning analytics: they often overlook significant aspects of learners’ digital and physical environments. His research proposes that integrating contextual information from these environments could make LA even more effective.…

Oct232024 by Heather WehnerNo Comments

New Pub: How Can Learning Analytics Dashboards Help Improve Students’ Self-Regulated Learning?

Conference, Empirical Study, Learning Analytics, Publication, School, Self-Regulation

Learning Analytics Dashboards (LADs) are important and widely-used tools used to give feedback to students and to aid them in their self-regulating learning process. Much has been done to investigate the design of LADs, but there is still a lack of knowledge regarding how students interpret the information shown on LADs and how they actually use these tools while learning. In a newly published study, we try to fill this gap. In an experimental study, we compared two groups of students. One group was given personalized self-regulared learning (SRL) feedback on their interactions and learning advances. The control group was only given minimal feedback calculated from the average class scores. After reviewing their feedback, students submitted written reflections on how they would adjust their study behavior. The researchers then analyzed…

Oct172024 by Atezaz AhmadNo Comments

Girls and Women in STEM Forum of the European Institute for Innovation and Technology (EIT)

Artificial Intelligence, Award, Conference, Digitalisation, Event, Transfer Activity

Our Co-Worker Dana Kube was selected to be a jury member of this year's Girls and Women in STEM Award of the European Institute for Innovation and Technology (EIT) in Budapest. Read her report: I'm still buzzing with the energy from the Women and Girls in STEM Forum 2024! It was an inspiring day filled with conversations on AI, inclusion, and the future of STEM with girls and women from all over Europe. The keynote speakers, Pia Ahrenkilde Hansen and Ilaria Tagliavini, emphasised the urgent need for more women to lead the next generation of scientists in Europe, highlighting the European Commission’s commitment to this mission through strategic plans for STEM education. Ilaria celebrated Girls Go Circular’s expansion to 32 countries, recognising the need for a mindset shift towards greater…

Oct142024 by Heather WehnerNo Comments

New Pub: Conceptual Map Assessment Through Structure Classification

Assessment, Conference, Feedback, Publication, School

In educational settings concept maps are often chosen as a tool to help knowledge constructions be visualized. While mapping out concepts and their relationships, students are able to show how well (or not well) they understand certain subjects. A newly published study, which was presented at the AIED 2024 in Recife, Brazil, takes their usage a step further, examining the structural patterns in concept maps and developing an automated system to classify them. The researchers categorized 511 different concept maps into three key structures: spoke, network and chain. Each structure type can provide its own insight about the deepness of students’ understanding. For example, a "spoke" structure may indicate a surface-level understanding, while a "network" might reflect a more complex comprehension. The researchers trained multiclass classification models using statistical data…

Sep142024 by Prof. Dr. Hendrik DrachslerNo Comments

PhD Defense: A Deep Dive into Visual Learning Analytics

Award, Higher Education, Learning Analytics, PhD defense, School

On September 13th, Hendrik Drachsler took on the esteemed role of opponent in the PhD defense of Artemis Mohseni at Linnaeus University, Sweden. The defense, which marked a pivotal moment in Artemis’s academic journey, centered around her innovative doctoral thesis titled "Development of Visual Learning Analytics Tools to Explore Performance and Engagement of Students in Primary, Secondary, and Higher Education." The evaluation commission was formed by: Associate professor Olga Viberg, Royal Institute of Technolgy, Sweden Associate professor Linnéa Stenliden, Linköpings University, Sweden Professor Johan Lundin, University of Gothenburg, Sweden Associate professor Fisnik Dalipi, Linnaeus University, Sweden Associate professor Arianit Kurti, Linnaeus University, Sweden It was an exciting defense that showcased Artemis’s research, which focuses on the potential of Visual Learning Analytics (VLA) to enhance teaching and learning by providing actionable…

Sep142024 by Prof. Dr. Hendrik DrachslerNo Comments

HILA goes to school – Keynote at ISDT24, Linnaeus University, Sweden

Artificial Intelligence, Conference, Feedback, Keynote, Learning Analytics, School

What happens when Highly-Informative Learning Analytics (HILA) goes to school? That’s exactly what Hendrik Drachsler explored during his keynote at the 3rd International Symposium on Digital Transformation (ISDT24) in Linnaeus University Växjö, Sweden. His talk highlighted the impact of the AFLEK project, a transformative initiative under the HILA research program, which focuses on improving learning outcomes in secondary schools through actionable data and AI-driven tools. The keynote wasn't just about theoretical advances; it presented real-world applications that are actively shaping how secondary education functions today. Through three key publications, Drachsler demonstrated how the integration of Data-Enriched Learning Activities (DeLA), teacher dashboards, and empirical research has paved the way for improved teaching practices and measurable student success. Let’s dive into what happens when HILA meets the classroom. Key Highlights from Hendrik…

Sep42024 by Prof. Dr. Hendrik DrachslerNo Comments

Keynote at #LearningAID24, Bochum Germany

Artificial Intelligence, Conference, Event, Higher Education, Keynote, Learning Analytics, Learning Design

At the recent #LearningAID24 conference in Bochum, Germany, Hendrik Drachsler delivered a keynote that challenged conventional perspectives on Learning Analytics and AI in education. He opened the discussion by examining the often ambiguous boundary between Learning Analytics and AI in education, posing a thought-provoking question: are these two areas truly distinct, or do they converge into one shared domain? Beyond theoretical discussions, Hendrik presented early empirical findings from the research program on Highly-Informative Learning Analytics (HILA), advocating for a more evidence-based approach to integrating Learning Analytics and AI into education. The goal, he argued, should be to ensure that these technologies effectively meet the informational needs of learners, providing meaningful and actionable insights. He framed the 2nd conference day around the theme: INFORMED PRECISION - This concept captures the need…

Jul182024 by Heather WehnerNo Comments

New Pub: Revolutionizing Essay Scoring with Hierarchical Rater Models

Artificial Intelligence, Assessment, Higher Education, Journal, New Pub

For a special issue on Natural Language Processing in Psychology we proposed a hierarchical rater model-based approach to address the challenges in automatic essay scoring. Essay writing tests are an integral part of educational systems, essential for assessing students' critical thinking, articulation and understanding. Since the manual scoring process requires significant resources and time, teachers are beginning to use Automated Essay Scoring (AES), which is potentially capable of alleviating the manual effort involved. #AutomatedEssayScoring #NaturalLanguageProcessing #FormativeAssessment #EducationalTechnology #MachineLearning #AIinEducation #HierarchicalRaterModel #EdTech #ScoringAutomation #AI #AssessmentTools #MeasurementInvariance #TransformerModels #EducationResearch #UniversityTesting #AIModels #TechInEducation There are an abundance of available models and each one has its own unique features and scoring methods. Thus, selecting the optimal model is complex and challenging, especially when different aspects of content have to be assessed over a number…

Jul122024 by Prof. Dr. Hendrik DrachslerNo Comments

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,…