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

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…
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New Pub: Connecting the dots – A literature review on learning analytics indicators from a learning design perspective

New Pub: Connecting the dots – A literature review on learning analytics indicators from a learning design perspective

Empirical Study, Higher Education, Journal, Learning Analytics, Learning Design, Lifelong Learning, Literature review, Open access, Publication, Self-Regulation, Special Issue, Target group
[caption id="attachment_4329" align="alignright" width="450"] Occurrences of the most commonly used learning analytic indicators over the past 10 years[/caption] Background: During the past decade, the increasingly heterogeneous field of learning analytics has been critiqued for an over-emphasis on data-driven approaches at the expense of paying attention to learning designs. Method and objective: In response to this critique, we investigated the role of learning design in learning analytics through a systematic literature review. 161 learning analytics (LA) articles were examined to identify indicators that were based on learning design events and their associated metrics. Through this research, we address two objectives. First, to achieve a better alignment between learning design and learning analytics by proposing a reference framework, where we present possible connections between learning analytics and learning design. Second, to present how…
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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
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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Transfer Workshop @ Digitaltag 2022 on highly informative and data-driven feedback with AI in higher education

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…
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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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Workshop – Designing Learning Analytics to Improve Lifelong? Learning

Workshop – Designing Learning Analytics to Improve Lifelong? Learning

Event, Learning Analytics, Learning Design, Lifelong Learning, Project, Report, Summer School, Workshop
Abstract: Learning Analytics (LA) has become a very heterogeneous research field due to the diversity in the data generated by the Learning Management Systems (LMS) as well as the researchers in a variety of disciplines, who analyze this data from a range of perspectives. In this workshop, we will present a LA tool called Open Learning Analytics Indicator Repository (OpenLAIR). OpenLAIR helps course designers, teachers, students and educational researchers to make informed decisions about the selection of learning activities and LA indicators for their course design or LA dashboard. The aim of this workshop is to allow users to interact with OpenLAIR and allow them to design a LA dashboard for a lifelong learning portal. During the workshop, participants will help with the design and evaluation of the OpenLAIR visual…
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New Pub: What Indicators Can I Serve You with? An Evaluation of a Research-Driven Learning Analytics Indicator Repository

New Pub: What Indicators Can I Serve You with? An Evaluation of a Research-Driven Learning Analytics Indicator Repository

Conference, Digitalisation, Learning Analytics, Learning Design, Publication
In recent years, Learning Analytics (LA) has become a very heterogeneous research field due to the diversity in the data generated by the Learning Management Systems (LMS) as well as the researchers in a variety of disciplines, who analyze this data from a range of perspectives. In this paper, we present the evaluation of a LA tool that helps course designers, teachers, students and educational researchers to make informed decisions about the selection of learning activities and LA indicators for their course design or LA dashboard. The aim of this paper is to present Open Learning Analytics Indicator Repository (OpenLAIR) and provide a first evaluation with key stakeholders (N=41). Moreover, it presents the results of the prevalence of indicators that have been used over the past ten years in LA.…
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New Pub: Analytics for Supporting Teaching Success in Higher Education: A Systematic Review

New Pub: Analytics for Supporting Teaching Success in Higher Education: A Systematic Review

Conference, Higher Education, Learning Analytics, Literature review, Publication
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, and appropriate learning interventions, which have been shown to increase students’ academic performance as well as their course retention rates. Yet, the perspective of higher education teachers in utilizing analytics to help analyze, reflect on, and improve their teaching design prior to delivery as well as to monitor and measure how the students engaged withtheir learning processes has been less recognized. In this paper, we present the results of a systematic review conducted from higher education teachers’ perspective concerning how analytics can be deployed to adapt the curriculum to suit better students’ educational needs in order to increase their study success. Thirty-five key…
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Presentation about detecting off-task behavior during learning at the GEBF 2022

Presentation about detecting off-task behavior during learning at the GEBF 2022

Conference, Event, Higher Education, Learning Analytics, Research topic, Self-Regulation
On 09.03.2022, Daniel Biedermann gave a presentation on the topic of recognizing off-task behavior as part of the GEBF conference. The talk was part of the symposium on "Self-Regulation in Learning in Digital Environments: From Problems to Solutions". The talk presented the endeavor of using process data within a learning environment to detect and predict off-task behavior. Special attention was given to the challenges that arise when detecting off-task behavior. The same observed activity may be considered off-task in one case, but relevant to learning in another. Making this distinction requires a precise grasp of the context in which the observed behavior takes place. Aspects such as what phase of learning was someone in when another web page was accessed? Had the learning material already been processed? Or was the…
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Keynote at LERN Jahrestagung 2022

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…
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