October 2023 - EduTec Science

Oct232023 by Dana KubeNo Comments

Empowering TEDx Event in Frankfurt Explores the Role of Feminist AI in Driving Gender Equality and Inclusivity

Artificial Intelligence, Digitalisation, Event, Gender, Invited talk, Keynote, Lifelong Learning, Team, Transfer Activity

Frankfurt, Germany - Last Thursday, TEDx Women Gallus hosted a captivating event with a focus on diversity, equity, and inclusion. Over 200 participants, including experts and international attendees, gathered to gain insights from female speakers on gender equality and inclusivity. Our researcher, Dana Kube, was among the speakers who delivered a TED talk. Dana Kube, a dedicated researcher at DIPF and Goethe University Frankfurt, specializes in dismantling gender bias in social learning (CSCL) and AI. Her commitment to empowering women, nurturing non-binary individuals in education, and advocating for social justice and environmental protection shone through her presentation. Her TED talk, titled "Can feminist AI drive gender equality and inclusivity? Envisioning a collaborative future," provided profound insights into the intersection of AI and gender dynamics. She dismantled gender bias in AI,…

Oct232023 by Joshua WeidlichNo Comments

New Pub: Development and initial validation of an instrument to measure student feedback literacy

Empirical Study, Feedback, Higher Education, Journal, Open access, Publication

To ensure quality higher education, students should routinely receive feedback on their academic endeavors. Alongside the question of what makes feedback effective, there is also an emerging research literature about empowering students to understand and utilize that feedback effectively. These abilities and attitudes of students have recently been subsumed under the concept of feedback literacy. The concept of feedback literacy was conceived by Carless and Boud (2018) as “the understandings, capacities, and dispositions needed to make sense of information and use it to enhance work or learning strategies.” Since then, a vibrant research literature has developed theoretical frameworks, explored dimensions of feedback literacy, and investigated whether feedback literacy can systematically be enhanced, etc. However, what is still missing are larger-scale rigorous investigations of the extent to which feedback literacy actually…

Oct122023 by Prof. Dr. Hendrik DrachslerNo Comments

Reflecting on the 8th National AI in Schools Conference: Transforming Teaching and Learning

Artificial Intelligence, Conference, Event, Feedback, Invited talk, Keynote, Learning Analytics, Learning Design, Project, School, Transfer Activity

The 8th National Conference on AI in Schools, held in Berlin, was a momentous event that gathered experts, policy-makers, and educators to discuss the current landscape and future prospects of AI in education. If there’s one word to describe the atmosphere at the 8th National Conference on AI in Schools, it would be “transformative“. The conference was not only setting high standards on political representatives, researchers in the field of educational & computer science, but also charged with representatives school supervisory boards, state institutes, and offices for teacher education in all 16 federal states. Overall, there was a palpable spirit of collaboration, optimism, and let”s get things done. Politicians, researchers, and practitioners were engaged and committed, staying until the very end of the event, signalling an overwhelming willingness to bring…

Oct22023 by Ioana JivetNo Comments

New Pub: Two Peer Commentaries on Aligning the Goals of Learning Analytics with its Research Scholarship

Commentary, General education, Learning Analytics, Open access

To promote cross-community dialogue on matters of significance within the field of learning analytics (LA), the editors-in-chief of the Journal of Learning Analytics (JLA) have introduced a section for papers that are open to peer commentary. The first submission that was open to peer commentary is “A LAK of Direction: Misalignment Between the Goals of Learning Analytics and its Research Scholarship” by Motz et al. (2023) in which the authors compare the current state of research with the definition of learning analytics by reviewing research published in the past three years in LAK and JLA. Their aim is to answer the question: Is the learning analytics community doing what it set out to do, i.e. understand and optimise learning? Two of the peer commentaries submitted in response to this article are…