Prof. Dr. Hendrik Drachsler, Author at EduTec Science

Aug262022 by Prof. Dr. Hendrik DrachslerNo Comments

New Pub: Toward learning progression analytics — Developing learning environments for the automated analysis of learning using evidence-centred design

Computational Psychometrics, Journal, Learning Analytics, Learning Design, Open access, Project, Publication, School

[caption id="attachment_4319" align="alignright" width="450"] A procedure for developing digital learning environments that allow for the automated assessment of learning.[/caption] National educational standards stress the importance of science and mathematics learning for today’s students. However, across disciplines, students frequently struggle to meet learning goals about core concepts like energy. Digital learning environments enhanced with artificial intelligence hold the promise to address this issue by providing individualized instruction and support for students at scale. Scaffolding and feedback, for example, are both most effective when tailored to students’ needs. Providing individualized instruction requires continuous assessment of students’ individual knowledge, abilities, and skills in a way that is meaningful for providing tailored support and planning further instruction. While continuously assessing individual students’ science and mathematics learning is challenging, intelligent tutoring systems show that it…

Jun202022 by Prof. Dr. Hendrik DrachslerNo Comments

Transfer Workshop @ Digitaltag 2022 on highly informative and data-driven feedback with AI in higher education

Artificial Intelligence, Conference, Event, Higher Education, Learning Analytics, Open access, School, Transfer Activity, Webinar, Workshop

The third Digitaltag will take place on June 24, 2022. The initiative "Digital for All" is behind the Digitaltag. The alliance of more than 25 organizations from the fields of civil society, culture, science, business, welfare and the public sector unites a common goal: to promote digital participation in Germany. Prof. Dr. Hendrik Drachsler contributes a talk on highly informative and data-driven feedback with AI in higher education. Feedback is a powerful element of all learning processes. However, it is difficult to offer highly informative feedback to large groups of learners. The Educational Technology Collective at Goethe University and the DIPF Leibniz Institute Frankfurt am Main are conducting research on this challenge in a variety of projects. In this talk, Professor Dr. Drachsler will present on designing highly informative feedback…

Mar302022 by Prof. Dr. Hendrik DrachslerNo Comments

Keynote at LERN Jahrestagung 2022

Computational Psychometrics, Higher Education, Invited talk, Keynote, Learning Analytics, Learning Design, School

On 30 March 2022, Hendrik Drachsler gave an invited keynote at the LERN conference 2022 where he reported on the latest research on data-driven high informative feedback in higher education and schools. The talk focused on the experience of edutec.science research collective that has been gained in the projects DIFA, HIKOF-DL, AFLEK and ALICE. The presentation provided an overview of actionable and supportive feedback to learners as well as the various technical products that the EduTec group has developed. It, therefore, applies web technology to support meta-cognitive and collaborative learning skills with high-informative feedback methods. Hendrik applies validated measurement instruments from the field of psychometrics and investigates to what extent Learning Analytics interventions can reproduce the findings of these instruments. He discussed the lessons learned from implementing TLA systems. He…

Mar232022 by Prof. Dr. Hendrik DrachslerNo Comments

New Pub: Chapter in Learning Analytics Handbook 2022

Higher Education, Learning Analytics

More and more higher education institutions have been making use of learning analytics in the last few years. But despite an increased funding and more research in the learning analytics domain, there is still a lack of systematic and large-scale implementations of learning analytics. In order to improve learning analytics adoption and to establish it sustainably, higher education institutions need to align learning analytics-related activities with their goals and visions. Their making us of data requires a set of guidelines and principles, i.e. a policy, that fits their context and speaks to all involved stakeholders. Only then can the effective and responsible use of learning analytics be ensured and will higher education institutions be truly able to establish learning analytics in a sustainable way. Reference: Scheffel, M., Tsai, Y.-S., Gašević,…

Mar232022 by Prof. Dr. Hendrik DrachslerNo Comments

New Pub: Towards Collaborative Convergence: Quantifying Collaboration Quality with Automated Co-located Collaboration Analytics

Conference, Conference, Event, Higher Education, Learning Design, Multimodal Learning Analytics, Publication

Collaboration is one of the four important 21st-century skills. With the pervasive use of sensors, interest on co-located collaboration (CC) has increased lately. Most related literature used the audio modality to detect indicators of collaboration (such as total speaking time and turn taking). CC takes place in physical spaces where group members share their social (i.e., non-verbal audio indicators like speaking time, gestures) and epistemic space (i.e., verbal audio indicators like the content of the conversation). Past literature has mostly focused on the social space to detect the quality of collaboration. In this study, we focus on both social and epistemic space with an emphasis on the epistemic space to understand different evolving collaboration patterns and collaborative convergence and quantify collaboration quality. We conduct field trials by collecting audio recordings…

Mar112022 by Prof. Dr. Hendrik DrachslerNo Comments

PhD defense: Measuring the Unmeasurable? Towards Automatic Co-located Collaboration Analytics

Artificial Intelligence, Book, Higher Education, Learning Analytics, Multimodal Learning Analytics, PhD defense, Press

Collaboration is one of the most important skills in the 21st century. Education, therefore, focuses on learning to cooperate, both in online and face-to-face settings. Learning Analytics is increasingly being used to analyse collaborations. Can face-to-face collaborations be analysed automatically by means of sensor technology? And what is the quality of the analyses generated by this? Sambit Praharaj developed a technical prototype to achieve automated collaboration analytics. On Friday 11 March 2022 at 1.30 pm Sambit defended his thesis 'Measuring the Unmeasurable? Towards Automatic Co-located Collaboration Analytics' at the Open University in Heerlen. Collaboration analytics using sensor technology Sambit Praharaj investigated the possibilities of automating collaboration analytics in face-to-face settings. He developed a prototype that measures the quality of collaboration. Praharaj also developed a dashboard that visualises the data and…

Feb182022 by Prof. Dr. Hendrik DrachslerNo Comments

PhD defense: Educational innovation towards organizational development: the art of governing open and online education in Dutch higher education institutions

Book, Higher Education, Open access, PhD defense, Press

Forms of open online education can bring about innovation in teaching and learning. Yet there is still little sign of this transformation at higher education institutions. How can open online education innovations be embedded in higher education institutions? And what organisational preconditions for open online education exist at various levels? On Friday 18 February 2022 at 4 pm, Martine Schophuizen defended her thesis entitled "Educational innovation towards organizational development: the art of governing open and online education in Dutch higher education institutions" at the Open Universiteit in Heerlen. Open Online Education (OOO) For years, there have been high expectations regarding the potential of forms of open online education (OOO), for example, Massive Open Online Courses (MOOCs). However, research into the effects of OOO still provides too few insights into increasing…

Jan282022 by Prof. Dr. Hendrik DrachslerNo Comments

20.01.2021 – Kickoff of the IMPACT Meeting

Artificial Intelligence, Assessment, Event, Higher Education, Learning Analytics, Project

Higher Education with Artificial Intelligence Projekt IMPACT: Implementation of AI-based Feedback and Assessment with Trusted Learning Analytics in Higher Education Institutions The collaborative project "Implementation of AI-based Feedback and Assessment with Trusted Learning Analytics in Higher Education Institutions" will be carried out by the Goethe University together with the Humboldt University Berlin, the Hagen University, the Freie Universität Berlin and the University of Bremen. Prof. Hendrik Drachsler, Professor of Computer Science with a focus on Educational Technologies at the DIPF and the Goethe University, is the collaborative leader and is also responsible for the Frankfurt sub-project "AI in the study entry phase for summative assessment and feedback as well as piloting, evaluation & implementation, dissemination". Responsible management of student data In the joint project IMPACT, five universities will work together…

Dec172021 by Prof. Dr. Hendrik DrachslerNo Comments

Special issue: Adoption of learning technologies in times of pandemic crisis

Publication, Special Issue

Despite the promises made and the many and varied national and international projects to adopt and roll out new educational technologies and interventions for elementary, secondary, and higher education, long-lasting institutional technology adoption has been hampered by a lack of continuous funding and resources to achieve the continued buy-in of stakeholders. The real impact of daily learning and teaching practices has been rather small and quickly fades out after a project has been completed. The COVID-19 crisis forced all education providers to move their complete teaching concepts online. This rapid change was also coined as Emergency Remote Teaching (ERT). In this Special Issue, we put a finger on the pulse of this rapid change from traditional to ERT and online learning. We aimed to collect empirical data about behavioural and…

Dec92021 by Prof. Dr. Hendrik DrachslerNo Comments

New project ML2MT: Artificial Intelligence across disciplines

Artificial Intelligence, Learning Analytics, Project, School

With almost 10 million euros in funding, the Volkswagen Foundation encourages research projects that explore how artificial intelligence will affect society. Goethe University Frankfurt (GU) was successful with an application that looks at developments in human-machine interaction in education. "From Machine Learning to Machine Teaching (ML2MT) - Making Machines AND Humans Smarter" - this is the title of the project that the economist Prof. Oliver Hinz applied for in an interdisciplinary project together with colleagues from various subjects. The success of learning machines, as in the prime example of the board game Go (in the computer version "AlphaGo Zero"), has inspired scientists. Their project aims at a better understanding of how humans and machines in collaborative human-AI systems can develop new knowledge in symbiotic interaction with each other. To this…