The hate speech barometer template: A tutorial on design and setup
Sauer, Sebastian; Piazza, Alexander; Schacht, Sigurd (2023)
5th International Conference of Business Meets Technology 2023, Valencia, (to be published).
Generative Agents to Support Students Learning Progress
Schacht, Sigurd; Kamath Barkur, Sudarshan ; Lanquillon, Carsten (2023)
5. International Conference Business meets Technology 2023, Valencia (to be published).
Ontology Definition for University Knowledge Graph
Woldai, Betiel ; Kamath Barkur, Sudarshan ; Henne, Sophie ; Schacht, Sigurd; Schmid , Elena (2023)
Woldai, Betiel ; Kamath Barkur, Sudarshan ; Henne, Sophie ; Schacht, Sigurd...
4th Barcelona Conference on Education (BCE2023), 19. - 23.09.2023.
Knowledge Science - Grundlagen. Methoden der Künstlichen Intelligenz für die Wissensextraktion aus Texten.
Lanquillon, Carsten; Schacht, Sigurd (2023)
Knowledge Science, 1. Auflage Springer Vieweg 2023 2023.
DOI: 10.1007/978-3-658-41689-8
Knowledge Science beschäftigt sich mit Konzepten, Methoden und Prozessen zur systematischen Erzeugung, Extraktion, Speicherung und Bereitstellung von Wissen zur Lösung von Problemen und lässt sich somit dem Wissensmanagement zuordnen. Kognitive Assistenten sorgen dafür, das richtige Wissen zur richtigen Zeit in der richtigen Art und Weise seinen Anwendern und Anwenderinnen bereitzustellen. Damit dies gelingen kann, kommen inzwischen zahlreiche Methoden der Künstlichen Intelligenz (KI) zur Unterstützung unterschiedlicher Aufgaben des Wissensmanagements zum Einsatz.
Exploring AI in Education: A Quantitative Study of a Service-Oriented University Chatbot
Fersch, Mascha-Lea; Schacht, Sigurd; Woldai, Betiel (2023)
2nd Paris Conference on Education 2023. Official Conference Proceedings.
Open Access
Knowledge Science - Fallstudien. Wie mit Künstlicher Intelligenz die Wissenssicherung und -nutzung im Unternehmen unterstützt wird
Lanquillon, Carsten; Schacht, Sigurd (2023)
Springer Vieweg Wiesbaden.
DOI: 10.1007/978-3-658-41155-8
Trendermittlung mit der Unterstützung eines kognitiven Assistenten
Horbaschk, Nora; Schacht, Sigurd (2023)
Knowledge Science – Fallstudien: Wie mit Künstlicher Intelligenz die Wissenssicherung und -nutzung im Unternehmen unterstützt wird, Springer Vieweg, Wiesbaden, S. 149-175.
DOI: 10.1007/978-3-658-41155-8_7
Kognitive Assistenzsysteme im Projektmanagement
Henne, Sophie ; Schacht, Sigurd (2023)
Knowledge Science - Fallstudien: Wie mit Künstlicher Intelligenz die Wissenssicherung und -nutzung im Unternehmen unterstützt wird, Springer Vieweg, Wiesbaden, S. 177-191.
DOI: 10.1007/978-3-658-41155-8_8
Lernen wie ein Mensch: Konzept eines Assistenten mit Wissenserwerb durch Beobachtung, Instruktion und Interaktion
Dreßler, Daniel; Schacht, Sigurd; Lanquillon, Carsten (2023)
Knowledge Science – Fallstudien: Wie mit Künstlicher Intelligenz die Wissenssicherung und -nutzung im Unternehmen unterstützt wird, Springer Vieweg, Wiesbaden, S. 69-107.
DOI: 10.1007/978-3-658-41155-8_5
Intro zu ChatGPT & Co - ein Experiment vom AN[ki]T "AI talks to AI"
Schacht, Sigurd; Piazza, Alexander (2023)
KI-Stammtisch des KI-Hub Bayern am Nürnberg DIGITAL FESTIVAL.
Knowledge-Grounded and Self-Extending NER
Kamath Barkur, Sudarshan ; Schacht, Sigurd; Lanquillon, Carsten (2023)
In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1836. .
DOI: 10.1007/978-3-031-36004-6_60
PromptIE - Information Extraction with Prompt-Engineering and Large Language Models
Schacht, Sigurd; Kamath Barkur, Sudarshan ; Lanquillon, Carsten (2023)
In: Stephanidis, C., Antona, M., Ntoa, S., Salvendy, G. (eds) HCI International 2023 Posters. HCII 2023. Communications in Computer and Information Science, vol 1836. 1836.
DOI: 10.1007/978-3-031-36004-6_69
A Qualitative Evaluation of an AI-supported Quiz Application to Assess Learning Progress
Woldai, Betiel ; Henne, Sophie ; Fersch, Mascha-Lea; Kamath Barkur, Sudarshan ; Schacht, Sigurd (2023)
Woldai, Betiel ; Henne, Sophie ; Fersch, Mascha-Lea; Kamath Barkur, Sudarshan ...
2nd Paris Conference on Education (PCE2023), Vortrag am 18.06.2023.
Towards energy-efficient Deep Learning: An overview of energy-efficient approaches along the Deep Learning Lifecycle
Mehlin, Vanessa ; Schacht, Sigurd; Lanquillon, Carsten (2023)
arXiv:2303.01980 [cs.LG].
DOI: 10.48550/arXiv.2303.01980
Wissenssicherung mit Wissensgraphen
Lanquillon, Carsten; Schacht, Sigurd (2023)
DASC-PM v1.1 Fallstudien, S. 6-15.
Open Access
Retaining Knowledge with Knowledge Graphs
Lanquillon, Carsten; Schacht, Sigurd (2023)
DASC-PM v1.1 Case Studies , S. 6-14.
Connect.Me: A Step Towards Hybrid Intelligence
Lanquillon, Carsten; Schacht, Sigurd (2022)
In Proc.: 4th International Conference Business Meets Technology. Ansbach, 7th – 9th July 2022. .
DOI: 10.4995/BMT2022.2022.15629
Open Access
Artificial Intelligence (AI) is drastically transforming the world around us. Rather than replacing humans, hybrid intelligence combines human and machine intelligence to leverage each of their individual strengths. We summarize different requirements and approaches identified to achieve hybrid intelligence and focus on conversational AI to build a cognitive agent that supports knowledge management within an organization. The agent automatically extracts knowledge from artifacts provided or published by the us- ers. In addition, the knowledge base steadily grows while the agent talks to the users and the users provide feedback and the system is continuously learning to extract new types of entities and relations to answer more questions based on the knowledge graph and to access other sources of information. The first types of entities and relations extracted already support users in finding colleagues with relevant skills or inter- ests. Based on information provided by the agent, collaboration among employees and, thus, knowledge sharing and transfer is encouraged. The collaboration between the cognitive agent as an AI artifact and employees combined with a system that learns and adapts while in use stressing explainability and trust in its answers entails a step towards hybrid intelligence.
Digital Learning Assistants in Higher Education Environments: A Qualitative Focus Group Study
Fersch, Mascha-Lea; Schacht, Sigurd; Woldai, Betiel ; Kätzel, Charlotte ; Henne, Sophie (2022)
Fersch, Mascha-Lea; Schacht, Sigurd; Woldai, Betiel ; Kätzel, Charlotte ...
The Barcelona Conference on Education 2022: Official Conference Proceedings .
DOI: 10.22492/issn.2435-9467.2022.28
Digital technologies have become increasingly important for educational institutions since the Covid-19 pandemic. In this paper, we present an artificially intelligent assistant system that supports students and prospective students on different levels. In addition to an AI-based chatbot as the central communication element, the virtual guidance system includes planning, study analysis, and motivation applications. To evaluate how the assistant can best address students’ needs, a qualitative focus group study with eight current students was conducted in April 2022, involving first a user testing of the chatbot prototype and second an assessment of different concept sketches for the planner and motivator applications. Results from the user testing of the chatbot suggest the importance of a vivid persona and appealing design, accurate, guided, direct answering, and optional push messaging. In the second part concerning planner and motivator, the students expressed the wish to integrate predominantly functions, which help to prepare on time for exams and ideally bundle the applications on one platform to avoid switching between different platforms. Furthermore, participants voiced privacy concerns, as well as an increase in distraction and competitive pressure through gamification. The findings were used to further develop and refine the digital assistant before launch. They give detailed insight into why and how integrated, digital assistants can be successful in educational settings and can be used for future research in the emerging research field of AI in teaching and learning.
Project: DIAS – Digital Intelligent Study Assistant
Fersch, Mascha-Lea; Henne, Sophie ; Mehlin, Vanessa ; Schacht, Sigurd; Schmid , Elena ; Sui , Vincent (2022)
Fersch, Mascha-Lea; Henne, Sophie ; Mehlin, Vanessa ; Schacht, Sigurd; Schmid , Elena ...
4th International Conference Business Meets Technology Ansbach, 7 th – 9 th July 2022.
THE DIAS PROJECT – Development of an intelligent digital assistant in higher education environments.
Henne, Sophie ; Mehlin, Vanessa ; Schmid , Elena ; Schacht, Sigurd (2022)
In Proc.: 4th International Conference Business Meets Technology. Ansbach, 7th – 9th July 2022.
DOI: 10.4995/BMT2022.2022.15537
Open Access
Prof. Dr. Sigurd Schacht
Hochschule Ansbach
Hochschule Ansbach - Fakultät Wirtschaft
Residenzstr. 8
91522 Ansbach
sigurd.schacht[at]hs-ansbach.de
ORCID iD: 0000-0002-1161-4724