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Roman Rietsche
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2020 – today
- 2024
- [c21]Andreas Göldi, Roman Rietsche:
Insert-expansions for Large Language Model Agents. AMCIS 2024 - [c20]Andreas Göldi, Thiemo Wambsganss, Seyed Parsa Neshaei, Roman Rietsche:
Intelligent Support Engages Writers Through Relevant Cognitive Processes. CHI 2024: 1047:1-1047:12 - [c19]Eva Ritz, Leonie Rebecca Freise, Edona Elshan, Roman Rietsche, Ulrich Bretschneider:
What to Learn Next? Designing Personalized Learning Paths for Re-&Upskilling in Organizations. HICSS 2024: 267-276 - [c18]Seyed Parsa Neshaei, Roman Rietsche, Xiaotian Su, Thiemo Wambsganss:
Enhancing Peer Review with AI-Powered Suggestion Generation Assistance: Investigating the Design Dynamics. IUI 2024: 88-102 - 2023
- [c17]Xiaotian Su, Thiemo Wambsganss, Roman Rietsche, Seyed Parsa Neshaei, Tanja Käser:
Reviewriter: AI-Generated Instructions For Peer Review Writing. BEA@ACL 2023: 57-71 - [c16]Andreas Göldi, Roman Rietsche:
Whereto for Automated Coaching Conversation: Structured Intervention or adaptive Generation? ECIS 2023 - [c15]Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche, Tanja Käser:
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance. EMNLP (Findings) 2023: 10275-10288 - [c14]Eva Ritz, Fabio Donisi, Edona Elshan, Roman Rietsche:
Artificial Socialization? How Artificial Intelligence Applications Can Shape A New Era of Employee Onboarding Practices. HICSS 2023: 155-164 - [i3]Andreas Göldi, Roman Rietsche:
Insert-expansions for Tool-enabled Conversational Agents. CoRR abs/2307.01644 (2023) - [i2]Thiemo Wambsganss, Xiaotian Su, Vinitra Swamy, Seyed Parsa Neshaei, Roman Rietsche, Tanja Käser:
Unraveling Downstream Gender Bias from Large Language Models: A Study on AI Educational Writing Assistance. CoRR abs/2311.03311 (2023) - 2022
- [j2]Roman Rietsche, Christian Dremel, Samuel Bosch, Léa Steinacker, Miriam Meckel, Jan Marco Leimeister:
Quantum computing. Electron. Mark. 32(4): 2525-2536 (2022) - [c13]Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser:
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling. COLING 2022: 1344-1356 - [c12]Dominik Pfütze, Eva Ritz, Julius Janda, Roman Rietsche:
A Corpus for Suggestion Mining of German Peer Feedback. LREC 2022: 5539-5547 - [c11]Eva Ritz, Thiemo Wambsganss, Roman Rietsche, Anuschka Schmitt, Sarah Oeste-Reiss, Jan Marco Leimeister:
Unleashing Process Mining for Education: Designing an IT-Tool for Students to Self-Monitor their Personal Learning Paths. Wirtschaftsinformatik 2022 - [i1]Thiemo Wambsganss, Vinitra Swamy, Roman Rietsche, Tanja Käser:
Bias at a Second Glance: A Deep Dive into Bias for German Educational Peer-Review Data Modeling. CoRR abs/2209.10335 (2022) - 2021
- [c10]Sascha Fuchs, Roman Rietsche, Stephan Aier, Michael Rivera:
Is more always better? Simulating Feedback Exchange in Organizations. Wirtschaftsinformatik 2021 - 2020
- [c9]Arne Gruettner, Min Vitisvorakarn, Thiemo Wambsganss, Roman Rietsche, Andrea Back:
The New Window to Athletes' Soul - What Social Media Tells Us About Athletes' Performances. HICSS 2020: 1-10
2010 – 2019
- 2019
- [j1]Sabine Seufert, Christoph Meier, Matthias Söllner, Roman Rietsche:
A Pedagogical Perspective on Big Data and Learning Analytics: A Conceptual Model for Digital Learning Support. Technol. Knowl. Learn. 24(4): 599-619 (2019) - [c8]Ruth Lechler, Emanuel Stoeckli, Roman Rietsche, Falk Uebernickel:
Looking beneath the tip of the Iceberg: the two-Sided Nature of Chatbots and their Roles for Digital feedback Exchange. ECIS 2019 - [c7]Roman Rietsche, Daniel Frei, Emanuel Stoeckli, Matthias Söllner:
Not All Reviews are Equal - a literature Review on Online Review Helpfulness. ECIS 2019 - [c6]Roman Rietsche, Matthias Söllner:
Insights into Using IT-Based Peer Feedback to Practice the Students Providing Feedback Skill. HICSS 2019: 1-10 - [c5]Thiemo Wambsganss, Roman Rietsche:
Towards Designing an Adaptive Argumentation Learning Tool. ICIS 2019 - 2018
- [c4]Roman Rietsche, Kevin Duss, Jan Martin Persch, Matthias Söllner:
Design and Evaluation of an IT-based Formative Feedback Tool to Forster Student Performance. ICIS 2018 - [c3]Fabienne Buholzer, Roman Rietsche, Matthias Söllner:
Knowing what Learners Like - Developing a Cultural Sensitive Peer Assessment Process in MOOCs. MKWI 2018: 857-868 - 2017
- [c2]Roman Rietsche, Matthias Söllner, Sabine Seufert:
Digital Formative Learning Assessment Tool - towards Helping Students to Take Ownership of their Learning. ECIS 2017 - [c1]Roman Rietsche, Katja Lehmann, Philipp Haas, Matthias Söllner:
The Twofold Value of IT-Based Peer Assessment in Management Information Systems Education. Wirtschaftsinformatik 2017
Coauthor Index
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