output
20172026
most citedDoes Outside-In Teaching Improve the Learning of Object-Oriented Programming?

8 citations

5 papers

cs.HC2026★ 2 cited

Seek and You Shall Find: Design & Evaluation of a Context-Aware Interactive Search Companion

Markus Bink, Marten Risius, Udo Kruschwitz +1

Many users struggle with effective online search and critical evaluation, especially in high-stakes domains like health, while often overestimating their digital literacy. Thus, in…

cs.HC2026★ 2 cited

"Can You Tell Me?": Designing Copilots to Support Human Judgement in Online Information Seeking

Markus Bink, Marten Risius, Udo Kruschwitz +1

Generative AI (GenAI) tools are transforming information seeking, but their fluent, authoritative responses risk overreliance and discourage independent verification and reasoning.…

stat.ME2021★ 5 cited

Statistical significance revisited

Maike Tormählen, Galiya Klinkova, Michael Grabinski

Statistical significance measures the reliability of a result obtained from a random experiment. We investigate the number of repetitions needed for a statistical result to have a…

cs.DC2020★ 2 cited

Towards an Enterprise-Ready Implementation of Artificial Intelligence-Enabled, Blockchain-Based Smart Contracts

Philipp Brune

Blockchain technology and artificial intelligence (AI) are current hot topics in research and practice. However, the potentials of their combination have been studied just recently…

cs.SE2017★ 8 cited

Does Outside-In Teaching Improve the Learning of Object-Oriented Programming?

Erica Janke, Philipp Brune, Stefan Wagner

Object-oriented programming (OOP) is widely used in the software industry and university introductory courses today. Following the structure of most textbooks, such courses frequen…