Conference – EduTec Science

Apr272023 by Jane YauNo Comments

HIKOF-DL Presentation at the University Future Festival

Conference, Event

Jane, as the project-coordinator, presented HIKOF-DL in the Track - AI & Technology, at the University Future Festival on 27.4.2023. Abstract: During the COVID-19 pandemic, we made use of artificial intelligence and learning analytics technologies for both lecturers’ and students’ online teaching and learning gains. Using these technologies, the team designed and implemented novel ways of providing highly-informative competence driven feedback (hicof) to large classes of university students (≈1000) for three innovative online assignments. We built machine learning models to automatically assess the assignments and reduced the time required for staff to manually grade them. High-informative feedback provides correct solutions, possibilities for improvement, hints on self-regulation and effective learning strategies (Wisniewski, Zierer and Hattie, 2020; Winne & Hadwin, 2008), and on two different levels - Feed Up (concerning their understanding of the learning goal) and Feed Forward (concerning their next steps in their learning process) (Hattie & Timberley, 2007). Competence driven feedback is feedback that is given to students based on…

Apr122023 by Daniel BiedermannNo Comments

Paper and presentation about the topic of detecting disengaged reading at LAK23

Conference, Conference, Event, Higher Education, Publication, Research topic, Self-Regulation, Target group

At the recent Learning Analytics and Knowledge Conference (LAK23), Daniel Biedermann presented his paper "Detecting the Disengaged Reader - Using Scrolling Data to Predict Disengagement during Reading," to shed light on the potential for early detection of disengagement in readers. The paper presents a unique method for early disengagement detection that relies solely on the classification of scrolling data. By transforming scrolling data into a time series representation, each point of the series represents the vertical position of the viewport in the text document. Time series classification algorithms are then used to evaluate the data.The results were promising, with the method able to classify disengagement early with up to 70% accuracy. However, the study also observed differences in performance depending on which texts were included in the training dataset. Biedermann…

Mar202023 by Ioana JivetNo Comments

Highly Informative LA Workshop at LAK23

Conference, Higher Education, Learning Analytics, Learning Design, Workshop

On the 13th of March 2023, as part of the LAK23 conference, five EduTec team members (Daniele Di Mitri, Ioana Jivet, Sebastian Gombert, Atezaz Ahmad and Hendrik Drachsler) organised a full-day workshop on Highly Informative Learning Analytics with Marcel Schmitz from Zuyd University of Applied Sciences, The Netherlands. In this workshop, we investigated the concept of highly informative learning analytics and proposed a methodology for designing an environment that delivers highly informative learning analytics. The workshop is intended as a hands-on, interactive session that allows participants to test the methodology’s potential in a realistic use case. The proposed approach is based on the four-stage process of the Design Cycle for Education (DC4E). We exemplify practical tools that were designed in-house for each stage, including a tool to support teachers while…

Mar202023 by Ioana JivetNo Comments

Best Short Paper Award Nomination @LAK23

Award, Conference, Conference, Higher Education, Learning Analytics

The protection of students’ privacy in learning analytics (LA) applications is critical for cultivating trust and effective implementations of LA in educational environments around the world. However, students’ privacy concerns and how they may vary along demographic dimensions that historically influence these concerns have yet to be studied in higher education. Gender differences, in particular, are known to be associated with people's information privacy concerns, including in educational settings. Building on an empirically validated model and survey instrument for student privacy concerns, their antecedents and their behavioral outcomes, we investigate the presence of gender differences in students’ privacy concerns about LA. We conducted a survey study of students in higher education across five countries (N = 762): Germany, South Korea, Spain, Sweden and the United States. Using multiple regression analysis,…

Dec202022 by Prof. Dr. Hendrik DrachslerNo Comments

HILA Keynote @ CEL annual meeting

Conference, Feedback, Higher Education, Invited talk, Keynote, Learning Analytics, Learning Design, Transfer Activity

Hendrik Drachsler gave a keynote @ the LDE CEL Annual Meeting under the theme ‘Developing a Culture of Learning Analytics'. Hendrik summarized the achievements of the Highly Informative and Learning Analytics (HILA) research program, that is the successor of the Trusted Learning Analytics research program conducted in Frankfurt, Germany. After two years of digital annual meetings, finally CEL could invite again to their annual meeting 2022 at the CEL Teaching Lab. Among keynotes from Simon Buckingham Shum (University of Technology Sydney), and Alyssa Friend Wise (New York University), Hendrik presented the latest research outcomes on Highly Informative and Learning Analytics (HILA) research program. Highly informative and competency-based feedback is costly and can be best given in small teacher-to-learner settings. According to research, feedback has a powerful effect on learning success;…

Nov22022 by Atezaz AhmadNo Comments

Presentation: Atezaz participated in the ICDLE conference and presented a new publication

Artificial Intelligence, Conference, Conference, Feedback, Further Education, Learning Analytics, Lifelong Learning, Open access, Publication, Self-Regulation

Our paper titled "Caught in the Lifelong Learning Maze: Helping People with Learning Analytics and Chatbots to Find Personal Career Paths" was accepted at the 13th International Conference on Distance Learning and Education (ICDLE 2022) held at the University of Barcelona, Spain. Atezaz Ahmad participated in the conference and presented their publication. The article will be published (open access) in the International Journal of Information and Education Technology. Abstract: Current lifelong learning platforms offer users a query option to select a wide variety of courses. However, finding a suitable course among the seemingly endless catalogs of options presented by the platforms is not straightforward. We argue that digital counseling can enhance this process. In this paper, we present a set of three formative studies where we explored the main aspects…

Oct272022 by Sebastian WollnyNo Comments

Shaping AI and the Future of Society @ Herrenhausen Conference and elf Annual Conference

Artificial Intelligence, Conference, Digitalisation

The journey from an initial idea to a finished product is generally known to be a long one. At least, this also seems to be the case with the implementation of AI systems that are intended to support various areas of everyday life. With regard to the automated understanding of language and images, AI models have made great progress in recent years and are being used in more and more applications, such as chatbots (see GUDI at Goethe University). The Educational Technologies team is therefore researching AI implementations in the education sector to support teachers and students, as well as to develop autodidactic learning environments. [caption id="attachment_4583" align="alignright" width="300"] Herrenhausen Conference "AI and the Future of Societies" 2022[/caption] The fact that the development of AI technologies continues to advance and…

Oct212022 by Jane YauNo Comments

New Pub: Effect of social support features via buddies in app-based habit building

Conference, Publication

During 10-12 October 2022 at the World Conference on Mobile, Blended and Seamless Learning (mLearn), the full paper "Effect of social support features via buddies in app-based habit building" was presented. The paper will also appear in the mLearn 2022 proceedings. The authors of the paper are Daniel Biedermann, Patrick Schwarz, Jane Yau and Hendrik Drachsler. The abstract is as follows: App-based habit building has been shown to be a good tool for building desired habits, however it is unclear how much individual features that are present in many apps contribute to the success of habit building. In this paper, the authors consider the influence of social support features by developing an app in which habit progress was shared with peers. In the study, 38 participants created habits and monitored…

Sep162022 by Sebastian GombertNo Comments

EC-TEL2022 best demo award goes to EduTec

Award, Conference

The demo paper Superpowers in the Classroom: Hyperchalk is an Online Whiteboard for Learning Analytics Data Collection and the corresponding tool Hyperchalk by Lukas Menzel, Sebastian Gombert, Daniele Di Mitri and Hendrik Drachsler were awarded the best demo award at the European Conference on Technology Enhanced Learning 2022. Hyperchalk allows hosting collaborative whiteboards which can be used to collaborate in real-time. It collects rich user data which can be used to conduct learning analytics. Hyperchalk was initially developed for the ALICE project.

Sep152022 by Sebastian GombertNo Comments

Sebastian Gombert @ EC-TEL 2022 Doctoral Consortium

Artificial Intelligence, Conference, Event, Learning Analytics, Research topic

At EC-TEL 2022, Sebastian Gombert presented his doctoral project "Methods and perspectives for the automated analytic assessment of free-text responses in formative scenarios". The goal behind this project is to build free-text assessment systems which can code constructed responses analytically. While much of the past work in response scoring focused on predicting holistic scores, analytic scoring allows to code free-text responses for multiple different aspects. The goal behind these efforts is to provide learners and teachers with useful feedback on each of them. A more detailed project overview will be released as part of the EC-TEL 2022 doctoral consortium proceedings soon.