Feedback Archives - EduTec Science

Apr162024 by Heather WehnerNo Comments

New Pub: Feedback sources in essay writing: peer-generated or AI-generated feedback?

Artificial Intelligence, Empirical Study, Feedback, Further Education, Journal, Publication

A newly published article discusses the use of peer feedback as a learning strategy, particularly in large classes where teachers face heavy workloads. For complex tasks like writing argumentative essays, peers may struggle to provide high-quality feedback due to the cognitive demands involved. The emergence of Artificial Intelligence (AI) tools, like ChatGPT, raises the question of whether AI can serve as a new feedback source for such tasks. To investigate this, a study compared ChatGPT-generated feedback with peer feedback on argumentative essays written by 74 graduate students from a Dutch university. The study collected essay data, peer feedback and ChatGPT-generated feedback, and then analyzed them using coding schemes. Results showed significant differences between ChatGPT and peer feedback, with ChatGPT offering more descriptive feedback while peers focused on identifying essay problems.…

Mar202024 by Heather WehnerNo Comments

Didacta Presentation in Cologne: Key Questions to Find Fitting AI Solutions For Student Feedback

Artificial Intelligence, Feedback, General education, Invited talk, School

What are the goals of AI in education for student feedback? How can teachers make sure that their AI-assisted feedback goes beyond simple right/wrong statements and instead provides not only correct solutions, but also possibilities for improvement, hints on competence development and effective learning strategies? To find a fitting AI solution, there are key questions one should know to ask in advance. These questions were outlined by Hendrik Drachsler in his presentation at the didacta 2024 in Cologne on 20.02.2024 titled “Ihr KI-Anbieter-Test - 3 Schlüsselfragen die Sie kennen sollten.” The key questions: Question 1: What indicators does your AI product use to analyze learning outcomes? --> Look for AI products that provide relevant indicators for measuring learning progress and skills acquisition. These indicators are important to accurately assess learning…

Jan292024 by Sebastian GombertNo Comments

New Pub: From the Automated Assessment of Student Essay Content to Highly Informative Feedback: a Case Study

Artificial Intelligence, Assessment, Computational Psychometrics, Empirical Study, Feedback, Higher Education, Journal, Publication, Special Issue, Technical paper

How can we give students highly informative feedback on their essays using natural language processing? In our new paper, led by Sebastian Gombert, we present a case study on using GBERT and T5 models to generate feedback for educational psychology students. In this paper: ➡ We implemented a two-step pipeline that segments the essays and predicts codes from the segments. The codes are used to generate feedback texts informing the students about the correctness of their solutions and the content areas they need to improve. ➡ We used 689 manually labelled essays as training data for our models. We compared GBERT, T5, and bag-of-words baselines for both steps. The results showed that the transformer-based models outperformed the baselines in both steps. ➡ We evaluated the feedback with a learner cohort…

Dec42023 by Prof. Dr. Hendrik DrachslerNo Comments

Enhancing Learning with Data-enriched Activities: Insights from the HIKOF/IMPACT Workshop at eLearning Netzwerktag 2023

Conference, Event, Feedback, Higher Education, Learning Analytics, Learning Design, Project, Workshop

At the 16te eLearning Netzwerktag 2023, participants had the opportunity to engage in various thought-provoking workshops. One workshop that stood out was the HIKOF/IMPACT session, where the edutec.science members from these AI projects shed light on the development of Data-enriched Learning Activities (DeLAs). This interactive workshop showcased how DeLAs offer valuable insights into students' competency development within digital learning activities. Let's delve into the details of how the HIKOF/IMPACT projects, part of the HILA research program, are revolutionizing eLearning through the implementation of DeLAs. The HIKOF/IMPACT workshop focused on exploring the concept and implementation of Data-enriched Learning Activities. Through DeLAs, educators gain unique insights into students' competency development during digital learning processes. These activities represent a powerful approach that leverages AI to analyze real-time data and provide highly informative feedback…

Dec42023 by Prof. Dr. Hendrik DrachslerNo Comments

16th eLearning Netzwerktag: An Insightful Recap of the Fast-Paced Year

Artificial Intelligence, Assessment, Augmented Reality, Competence development, Computational Psychometrics, Computer-supported collaborative learning, Conference, Event, Feedback, Gender, Higher Education, Learning Analytics, Learning Design

The annual eLearning Netzwerktag was a highly anticipated one-day event where the eLearning community of Frankfurt and the surrounding areas gathered to present the highlights of the past year to the public. On November 21, 2023, the event took place at Campus Westend, Goethe University Frankfurt am Main. Among the speakers, the Prof. Dr. Maren Scheffel, Prof. Dr. Franziska Matthäus , CIO of Goethe University Ulrich Schielein, Prof. Dr.Hendrik Drachsler, Director of studiumdigitale, delivered an opening speech that reflected on an incredible year, with a particular focus on the advancements in generative Artificial Intelligence applications. Hendrik Drachsler's speech highlighted the significant developments in the field of digital learning. At the previous Netzwerktag, applications like ChatGPT, Midjourney, Stablediffusions, and open language models (LLMs) such as LAMA were relatively unknown to most…

Dec42023 by Prof. Dr. Hendrik DrachslerNo Comments

Keynote on Highly Informative Feedback with AI @ University of Bremen

Artificial Intelligence, Event, Feedback, Higher Education, Invited talk, Learning Analytics, Learning Design

On November 29, 2023, the University of Bremen invited Hendrik Drachsler to deliver a keynote on AI and Learning Analytics in higher education. Hendrik presented the work of edutec.science and studiumdigitale, highlighting their advancements, challenges, and the future prospects of integrating AI-based systems for learning and teaching. The keynote shed light on the theoretical foundations, practical implications, and the importance of ethical considerations when harnessing the power of AI in education. During his speech, Hendrik acknowledged the significance of units like studiumdigitale, the central innovation unit for Technology-Enhanced Learning and Teaching at the Goethe University Frankfurt, Germany. He explained the SMS transfer process (Scouting-Maturing-Service transfer process) and its role in shaping the EdTech ecosystem of the university. Hendrik emphasized the impact of learning analytics—an emerging field that utilizes data to…

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…

Sep292023 by Ioana JivetNo Comments

Conference: Demo and paper presentations at EARLI 2023

Artificial Intelligence, Conference, Feedback, Higher Education, Learning Analytics, Self-Regulation, Workshop

This year, the biannual EARLI conference took place between 21-26 August 2023 in Thessaloniki, Greece and EduTec member Ioana Jivet represented DIPF with two contributions. The 1.5-hour ICT demo Closing the Feedback Loop - A Moodle Plugin for (Semi-)automated Feedback introduced participants to the work of PhD student Tornike Giorgashvili, supervised by Hendrik Drachsler and Ioana Jivet, and the outcomes of the HIKOF project: LearnDashPlus, a Moodle plugin which helps teachers provide written feedback in large courses. This tool also prompts students to reflect on the feedback they received and allows teachers to explore if such feedback helps students to understand their learning behavior and improve their learning performance. Our tool is intended to work as an educational intervention and an instrument of dialogue between teachers and students and thus closing…

Sep122023 by Heather WehnerNo Comments

New pub: Why You Should Give Your Students Automatic Process Feedback on Their Collaboration

Computer-supported collaborative learning, Conference, Feedback, Higher Education, Journal, Learning Analytics

In the ever-changing landscape of education, innovation is the key to ensuring that every student has access to quality learning experiences. A transformative approach is Computer-Supported Collaborative Learning (CSCL), in which enables students to harness the power of teamwork to achieve learning outcomes that often exceed those they could reach individually. One of the strengths of CSCL is that it can give participant feedback on the quality of their collaborative work. This feedback not only aids individual growth but also enhances the group's overall dynamic. Traditionally, providing such feedback was a manual and time-intensive task, making it impractical for larger classes or scalable education programs. That's where this newly published paper comes into play. CSCL The paper “Why You Should Give Your Students Automatic Process Feedback on Their Collaboration: Evidence…