Learning Analytics Archives - Page 9 of 11

Nov122021 by Joshua WeidlichNo Comments

Auftaktveranstaltung: Forschung über Studienerfolg und Studienabbruch II

Higher Education, Learning Analytics, Project, Project meeting

Am 11. November 2021 fand die virtuelle Auftaktveranstaltung der BMBF-Förderlinie Forschung über "Studienerfolg und Studienabbruch II" statt. Virtueller Gastgeber war die FernUniversität in Hagen. Das EduTec Team war mit dem Projekt LAMASS@DiLea, in dem Faktoren für Studienabbruch und Studienerfolg im Zusammenhang mit digitalen Lehrformaten untersucht werden, ebenfalls vertreten. [embed]https://static1.bmbfcluster.de/5/2/2/4/0_c464c1b3f1efcf4/52240_b0710c16e248bbf_web.mp4[/embed] Nach einer Begrüßung der Rektorin der FernUniversität in Hagen, Ada Pellert, stellte Prof. Hans-Dieter Daniel wichtige Erkenntnisse aus der ersten Förderlinie vor und formulierte Anregungen und "lessons learned" für die aktuelle Förderlinie. Danach begannen die Kurzvorstellungen der geförderten Projekte, in denen sich alle 19 Vorhaben zum Thema Studienerfolg und Studienabbruch innerhalb von 5 Minuten präsentierten. Innerhalb der jeweiligen Themencluster entstanden angeregte Diskussion, in denen projektübergreifende Herausforderungen und Lösungsansätze zur Sprache kamen. Im Anschluss an diese Präsentationen gab es Breakout-Sessions mit…

Nov12021 by Ioana JivetNo Comments

Workshop on Culturally Aware Human-Centred Learning Analytics (CARLA) at EC-TEL2021

General education, Learning Analytics, Workshop

Learning analytics (LA) have been implemented in various countries, often at a limited scale. We have also seen that LA have been used in different ways in different countries. This makes the transfer of LA solutions from one country to another challenging, due to varying contextual, technical, and cultural factors. In an increasingly international educational landscape, how and to what extent should the LA community take into account cultural factors in order to make a relevant impact (i.e., improve learning) at scale? What opportunities are offered by LA technologies to consider learners’ cultural preferences and values, and how can we design culturally aware LA services which account for these values? These were some of the questions we aimed to answer during the Culturally Aware Human-Centred Learning Analytics (CARLA) workshop which…

Nov12021 by Prof. Dr. Hendrik DrachslerNo Comments

Two new research grants on AI in Higher Education

Artificial Intelligence, Higher Education, Learning Analytics, Project

The EduTec group contributed to two winning research grants on AI in Higher Education for the upcoming four years. The Federal Ministry of Education and Research (BMBF) is thus strengthening Frankfurt as an excellent centre for educational technologies, especially AI in Education (Learning Analytics). The federal-state initiative “Artificial Intelligence in Higher Education” supports two projects at the Goethe University Frankfurt. One of the projects is a cooperation project under the Goethe University Frankfurt direction, together with the University of Bremen, the FU Berlin, the HU Berlin, and the distance university in Hagen. The IMPACT project (IMPlementing AI-based feedbaCk and assessment with Trusted learning analytics in universities) is about the (partially) automated analysis of texts. Along the Student Life Cycle, prospective students, newcomers and students should receive text-based, highly informative and…

Oct222021 by Prof. Dr. Hendrik DrachslerNo Comments

Consortium meeting and research workshop of the HELA project

Higher Education, Learning Analytics, Meta-study, Project, Workshop

On October 22st, 2021, Hendrik Drachsler contributed to the HELA project. Prof. Nina Begičević Ređep PhD, presented activities and results achieved in the seven months of project implementation and give an overview of upcoming research activities due to the end of the first project year. The HELA partners have set up a powerful machine learning literature review system and will focus on providing insights through meta-analysis on ethics & privacy, LA use cases, strategic planning for the adoption of learning analytics. On Friday, October 22nd, 2021, a research workshop will be held where the FOI team will present project results through three modules: 1) Conceptual framework of learning analytics (LA), 2) Strategic planning and decision making related to LA implementation and 3) LA use cases. After this, external associate Prof.…

Oct192021 by Jane YauNo Comments

New Pub: EDMEDIA 2021 Conference Paper

Conference, Learning Analytics, Publication

Our conference article has been published at EDMEDIA 2021 relating to the preliminary findings based on a systematic review on teaching analytics (see abstract below) and we are currently working on extending these findings for a journal article…… Title: Utilising learning analytics for teaching success Authors: Jane Yau & Dirk Ifenthaler Abstract: Learning analytics are utilized to support learners’ educational needs as well as to enhance their study success, for example, via the use of real-time prompts, motivational dashboards, appropriate learning interventions, which have been shown to increase students’ academic performance as well as their course retention rates. The combination of student, learning and curriculum profiles consisting of static and dynamic parameters enable analytics to be computed and academic interventions to take place. In this paper, we present the results of a systematic…

Oct192021 by George-Petru Ciordas-HertelNo Comments

New Pub: Mobile Sensing with Smart Wearables of the Physical Context of Distance Learning Students to Consider Its Effects on Learning

General education, Journal, Learning Analytics, Lifelong Learning, Multimodal Learning Analytics, Open access, Project, Publication, Research topic, Target group, Technical paper

Research shows that various contextual factors can have an impact on learning. Some of these factors can originate from the physical learning environment (PLE) in this regard. When learning from home, learners have to organize their PLE by themselves. This paper is concerned with identifying, measuring, and collecting factors from the PLE that may affect learning using mobile sensing. More specifically, this paper first investigates which factors from the PLE can affect distance learning. The results identify nine types of factors from the PLE associated with cognitive, physiological, and affective effects on learning. Subsequently, this paper examines which instruments can be used to measure the investigated factors. The results highlight several methods involving smart wearables (SWs) to measure these factors from PLEs successfully. Third, this paper explores how software infrastructure…

Oct152021 by Prof. Dr. Hendrik DrachslerNo Comments

PhD defense by Tobias Rohloff: Learning Analytics at Scale Supporting Learning and Teaching in MOOCs with Data-Driven Insights

Learning Analytics, Lifelong Learning, PhD defense

Today I had the pleasure to participate in the PhD defense of Tobias Rohloff. The overall aim of this dissertation is to investigate the implementation of LA at the scale of MOOCs and to explore how data-driven technology can support learning and teaching in this context. To this end, several research prototypes have been iteratively developed for the HPI MOOC Platform. Hence, they were tested and evaluated in an authentic real-world learning environment. Most of the results can be applied on a conceptual level to other MOOC platforms as well. The research contribution of this thesis thus provides practical insights beyond what is theoretically possible. In total, four system components were developed and extended: (1) The Learning Analytics Architecture: A technical infrastructure to collect, process, and analyze event-driven learning data based…

Oct132021 by Prof. Dr. Hendrik DrachslerNo Comments

ALICE project workshop

Learning Analytics, Learning Design, School, Workshop

On 12/13 of October the EduTec Team finally hit the road again and met with the ALICE Project partners in Kiel at the IPN for the first post-pandemic f2f Workshop. Wuhuuuuuuuu! The purpose of the 2-day workshop was to work on an instructional model for designing and implementing instructional units in four domains – biology, chemistry, mathematics, and physics – and tracking students learning progression with learning analytics during these units. The units will be hybrid in that they will take place in regular classrooms but will involve students working through instructional activities involving digital media. Instruction will be led by a regular teacher but will have students continuously interact with a (tablet) computer. In order to be able to analyze students learning progression using learning analytics across the four…

Aug12021 by Prof. Dr. Hendrik DrachslerNo Comments

Ioana Jivet joins the team

Artificial Intelligence, Higher Education, Learning Analytics, Learning Design, Team

Ioana Jivet is Associate Researcher at EduTech group at DIPF Leibniz Institute for Research and Information in Education. Ioana obtained her Masters degree in Computer Science in 2016 from the TU Delft and then pursued a PhD at the Open University of the Netherlands which she obtained in March 2021 Cum Laude. Her research focused on designing learner-facing learning analytics dashboards that foster the development of self-regulated learning skills. Over the past years, she has contributed to Competen-SEA, a capacity building project in South-East Asia around MOOCs, and SHEILA, a research project that investigated the adoption of learning analytics in European higher education institutions and built a policy development framework for HEIs to facilitate adoption. At the moment, Ioana is serving on the Executive Committee of the Society of Learning…

Jul152021 by Sebastian WollnyNo Comments

New Pub: Are We There Yet? – A Systematic Literature Review on Chatbots in Education

Artificial Intelligence, General education, Journal, Learning Analytics, Literature review, Open access, Publication

Are We There Yet? - A Systematic Literature Review on Chatbots in Education Chatbots are a promising technology with the potential to enhance workplaces and everyday life. In terms of scalability and accessibility, they also offer unique possibilities as communication and information tools for digital learning. In this work, we present a systematic literature review investigating the areas of education where chatbots have already been applied, explore the pedagogical roles of chatbots, the use of chatbots for mentoring purposes, and their potential to personalize education. We conducted a preliminary analysis of 2,678 publications to perform this literature review, which allowed us to identify 74 relevant publications for chatbots’ application in education. Through this, we address five research questions that, together, allow us to explore the current state-of-the-art of this educational…