Gender & STEM Conference 2022 – EduTec Member Dana Kube presented her Ph.D. work

Gender & STEM Conference 2022 – EduTec Member Dana Kube presented her Ph.D. work

Assessment, Conference, Conference, Digitalisation, Event, Higher Education, Journal, Learning Design, Publication, Workshop
A few impressions: After a two-year break, scholars can finally meet again for a personal exchange at the "Gender & STEM Conference". I was able to meet so many exciting people and studies, and I think that we German universities have benefited especially from the intersectional and feminist perspectives from the USA, Canada and the Netherlands: How do transgender students experience support in Computer Science? What can universities do to keep students of colour and especially women* of colour longer in STEM programmes? Stop fixing Women* in STEM was the tenor, fix the System: I go back to Frankfurt with a lot of smart approaches on the institutional and pedagogical level and a lot of encouraging feedback on my PhD thesis on Gender in STEM/Technology. My personal highlight was meeting…
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HIKOF-DL – 3rd Committee Meeting with Industry Members

HIKOF-DL – 3rd Committee Meeting with Industry Members

Artificial Intelligence, Assessment, Higher Education, Learning Analytics, Project, Transfer Activity, Uncategorized
On 11.7.2022, team members of the HIKOF-DL project held its third meeting with the project committee members consisting of industry partners. The partner companies / institutions include Goethe Business School, Provadis, GIZ, Deutsche Bahn, Mercedes Benz, Academie für Bildungsforschung und Lehrerbildung. The three project leaders are Prof. Dr. Hendrik Drachsler, Prof. Dr. Andreas Frey (Goethe University Frankfurt) and Dr. David Weiss (studiumDigitale, Goethe University Frankfurt). In the meeting, Prof. Dr. Hendrik Drachsler and team members presented the ongoing research work namely the pilot study involving the course "Einführung in Unterricht sowie Diagnostik und Beratung" taught by Prof. Dr. Andreas Frey, with ca. 1000 students. One of the project aims is to make course assessment less time-consuming for the teaching staff, as this was a significant concern in such a course…
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New HIKOF-DL Video – Introduction to the project

New HIKOF-DL Video – Introduction to the project

Artificial Intelligence, Assessment, Higher Education, Learning Analytics, Project
  Studiumdigitale at Goethe University Frankfurt has created an informative video to introduce the HIKOF-DL project. HIKOF-DL stands for Hoch Informatives und Kompetenzorientiertes Feedback für das Digitale Lernen and is funded by the Hessen Ministry for Digital Strategy and Development from 2021-2024. Prof. Dr. Hendrik Drachsler, Prof. Dr. Andreas Frey as well as Dr. David Weiss are project leaders of this interdisciplinary project. In the video below, they explained their roles and vision in this joint project. For more information about the project, please see the project website here: https://hikof.uni-frankfurt.de/
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New Pub: Measuring Productivity in CSCL groups

New Pub: Measuring Productivity in CSCL groups

Assessment, Conference, Empirical Study, Higher Education, Learning Design, Publication
Computer-supported collaborative learning (CSCL) is a common pedagogical approach, in which groups of students work together digitally to engage in learning activities, solve problems, or create a shared artefact. CSCL is further interesting from a research standpoint, because different disciplines want to understand the processes and circumstances from which productive social interaction in online groups emerge to facilitate learning among group members. As such, group productivity is a central outcome to be considered in CSCL research. At the same time, the current literature does not provide a valid and reliable self-report instrument to measure group productivity.   [caption id="attachment_3914" align="alignleft" width="325"] Wright Map[/caption] [caption id="attachment_3915" align="alignleft" width="323"] Category probability curves with six (top) versus 5 (bottom) rating scale steps[/caption]                      …
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zugehOERt Podcast 081: Learning Analytics und OER

zugehOERt Podcast 081: Learning Analytics und OER

Assessment, General education, Learning Analytics, Learning Design, Press, Webinar
Im Gespräch mit Susanne Grimm führt Ioana Jivet an das Thema Learning Analytics heran und geht auf dessen Mehrwert für Lehrende und Lernende auch im Hinblick auf eine mögliche Bedeutung für den größeren Nutzen von OER ein. Ioana Jivet ist seit 2021 assoziierte Wissenschaftlerin im EduTec-Team am DIPF. Als Postdoktorandin in der Einrichtung studiumdigitale der Goethe-Universität Frankfurt ist sie als Forschungskoordinatorin wissenschaftlicher Forschungsanteile der laufenden Projekte: HIKOF und IMPACT tätig. Im Rahmen des Hessen Hub – Netzwerk digitale Hochschullehre Hessen leitet sie das Schwerpunktthema Trusted Learning Analytics. Den Podcast hier anhören  
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20.01.2021 – Kickoff of the IMPACT Meeting

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…
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Artificial intelligence for supporting disadvantaged learners

Artificial intelligence for supporting disadvantaged learners

Artificial Intelligence, Assessment, School
[caption id="attachment_3685" align="alignleft" width="300"] The Mitchell County High School[/caption] Can Artificial Intelligence support disadvantaged teenagers in improving their mathematics and reading skills? Doctoral candidate Rashmi Khazanchi is investigating this relevant research question in her PhD project conducted with the supervision of Prof Hendrik Drachsler at the Open University of The Netherlands and Dr Daniele Di Mitri at the DIPF. Mrs Khazanchi is a mathematic and science teacher at the Mitchell County High School, located in the rural area of Camilla, in the southwest of Georgia, United States. The school offers generalist education as preparation for college and vocation and professional training. The high school is a publicly funded school system, and the majority of its student population are African American people. Several of these young students live in modest socio-economic…
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Team of EduTec and TBA Members Wins Runners-Up Prize @ NAEP Reading Automated Scoring Challenge

Team of EduTec and TBA Members Wins Runners-Up Prize @ NAEP Reading Automated Scoring Challenge

Artificial Intelligence, Assessment, Award, Computational Psychometrics, School
The NAEP Reading Automated Scoring Challenge was a competition which was held in late 2021 by the National Center for Education (USA). The goal was to evaluate the applicability of natural language processing methodology to the task of scoring of large scale constructed response assessment data. In addition to this, participating models were also required to be interpretable and free of algorithmic bias against different student demographics. The data set which was used to evaluate the systems consisted of responses from 4th and 8th grade school student to 20 different reading comprehension tasks. More than a dozen different teams from universities and private assessment companies submitted contributions. Out of these, 12 contributions, including ours, were selected as eligible with respect to interpretability and algorithmic fairness. These contributions were then ranked…
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