Research topic Archives - Page 19 of 23

Nov112021 by Daniele Di MitriNo Comments

Milky-Psy first face-to-face meeting

Artificial Intelligence, General education, Multimodal Learning Analytics, Project meeting

On November 9, 2021, the first face-to-face meeting of the BMBF funded project “Multimodal Immersive Learning with Artificial Intelligence for Psychomotor Skills” (Milki-Psy) consortium took place in the city of Cologne where the DIPF, as an active member, was represented by Dr Daniele Di Mitri, Dr Jan Schneider, Gianluca Romano and Fernando P. Cardenas-Hernandez. The purpose of this meeting was to present the progress of each project partner as well as to propose and discuss possible solutions for the two case studies of this project, which are running case and robot case. (more…)

Nov12021 by Atezaz AhmadNo 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…

Oct232021 by Prof. Dr. Hendrik DrachslerNo Comments

New Pub: Einfluss von Lehr-Einstellungen und digitalen Kompetenzen auf die virtuelle Lehre

Competence development, Empirical Study, Higher Education, Journal, Open access, Publication

Die Gestaltung und Durchführung virtueller Lehrveranstaltungen wird durch unter schiedliche Lehransätze der Hochschullehrenden sowie durch deren individuellen Kompetenzstand auf dem Feld digitaler (Lehr-)Kompetenzen beeinflusst. Der Bei trag stellt empirische Ergebnisse einer Studie vor, die zeigen, dass insbesondere ein studierendenzentrierter Lehransatz bei Gestaltung virtueller Lehre vorteilhaft ist und der Aufbau digitaler Kompetenzen einen Schlüssel für die gelingende Im plementierung digitaler Bildungsformate darstellt. Abschließend werden mögliche Folgerungen für mediendidaktische Qualifizierungsansätze diskutiert. The design and implementation of virtual courses are influenced by different teaching by different teaching approaches of university lecturers and by their individual level of competence in the field of digital (teaching) skills. This empirical results of a study, which show that in particular, a student-centred a student-centred approach to virtual teaching is particularly advantageous and that the development of digital competencies is a…

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 Atezaz AhmadNo 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 Atezaz AhmadNo 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…

Oct122021 by Jan SchneiderNo Comments

New Pub: Analysis of the “D’oh!” moments.

Artificial Intelligence, Conference, Conference, Further Education, Higher Education, Lifelong Learning, Multimodal Learning Analytics, Publication

“Soul and body, I suggest reacting sympathetically upon each other. A change in the state of the soul produces a change in the shape of the body and conversely, a change in the shape of the body produces a change in the state of the soul.” To test this hypothesis proposed by Aristotle, our bachelor student Tetiana Buraha investigated the physiology of students performing task-switching exercises. The physiological data were collected using an Empatica E4 band. The performances of the students were compared against the physiological data using descriptive statistics and machine learning techniques. The analysis of Tetiana enabled the identification of interesting correlations between galvanic skin response and performance, and models to predict performance based on the physiological data. Results of her excellent thesis were published and presented at…