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AI Comp – FUTURE SKILLS FOR A WORLD SHAPED BY AI
Karlsruhe, 11/22/2023 - The competence model AIComp (Artificial Intelligence Competences) was developed by NextEducation as part of the two projects AI-Campus and AI-Campus Hub Baden-Wuerttemberg. It is based on an empirical study in which over 1600 professionals in Baden-Wuerttemberg were surveyed on the skills requirements resulting from the fact that artificial intelligence is increasingly finding its way into the world of work and life.
The acronym AIComp is formed from the words Artificial Intelligence Competences. It represents the AI skills of the future that are important for a broad spectrum of individuals. Competences that are only useful in a specific profession are not considered here.
DOWNLOADS OF THE AICOMP MODEL, THE STUDY RESULTS AND THE DATA BRIEFING ARE AVAILABLE BELOW
AIComp is currently the largest study on the topic of AI-related future skills. It is the result of interlinked qualitative and quantitative research steps. After a comprehensive analysis of the existing research literature, an inventory consisting of 160 AI skills items was created. Using a qualitative content analysis approach, the inventory was shortened, clustered, summarized and thus reduced to a total of 13 competence fields. These were validated and sharpened as part of a qualitative interview study. As a result, the AIComp model was reduced to 12 areas of competence.
A questionnaire for a quantitative online study was designed on the basis of the 12 competence fields and further developed in pretests. In this questionnaire, each of the 12 competence fields was tested with three items. The field phase of the study ran from June 15, 2023 to July 31, 2023 and was aimed at working people in Baden-Wuerttemberg. The data from the more than 1600 participants allows the empirical construction of a competence model based on the respondents' subjective assessments of their experiences, self-assessments and assignments of importance for the 12 competence fields.
Background: The AI-Campus is the learning platform for artificial intelligence with free and freely accessible online courses, videos and podcasts to strengthen AI and data skills. As an R&D project, the AI-Campus is funded by the Federal Ministry of Education and Research (BMBF) and the Dieter Schwarz Foundation and coordinated by the Stifterverband.
More: www.ai-campus.org
AIComp Downloads
AIComp - Research report (1) 2024
Future Skills
Find out everything you need to know about the theory, methodological design and results of our AI skills study in the detailed AIComp Research Report 2024.
KI-Kompetenzbedarfe der baden-württembergischen Wirtschaft
Future Skills
Ergebnisse einer Befragung von 839 Werktätigen aus baden-württembergischen Organisationen zum Stand der KI-Einführung
Competence levels for Future Skills
taxonomy according to Bloom
In this summary you will find competence levels for the AICOMP Future Skills, which were formulated as levels on the basis of Bloom's (1956) six-level taxonomy in the revision by Anderson & Krathwohl (2001).

KOMPETENZEN FÜR DIE KI-WELT
FUTURE SKILLS FRAMEWORK
AIComp - Research report (2) 2024
Future Skills
Here you will find everything you need to know about the empirical construction and a detailed description of the AIComp competency model, which was developed as part of our AI competency study.
pitch deck presentation of the competence framework
Future Skills for a world shaped by AI
The AIComp model consists of 12 competence fields, which are explained and illustrated here with definitions and concrete examples.
AICOMP - FUTURE SKILLS IN A WORLD INCREASINGLY SHAPED BY AI
EDEN Paper
Publication of the first part of the AIComp study - status 06/2023
KI im Studium aus Studierendensicht: Nutzung, Fähigkeiten und Einstellungen Studierender zu KI
Ergebnisse aus Daten der DHBW-Studierenden-Panelstudie 2024
In dieser Studie erfahren Sie, wie gut sich DHBW-Studierende aktuell auf den Umgang mit KI vorbereitet fühlen, zu welchen Zwecken sie KI nutzen und an welchen Punkten Lehrende ansetzen können, um KI in ihre Curricula zu integrieren.
Die Datenbasis als Download finden Sie hier.
Figures, datasets and background information
Tabular presentation of the results
In the Excel tables stored here you will find all the data and figures relating to our study results.
pitch deck presentation of the study results
Empirical study on the subject Future Skills for a world shaped by AI
The quantitative online survey on the AIComp model was statistically analyzed in depth. You can find all the information in figures and graphics here.
AIComp - Research report (1) 2024
Future Skills
Find out everything you need to know about the theory, methodological design and results of our AI skills study in the detailed AIComp Research Report 2024.
AIComp - Research report (2) 2024
Future Skills
Here you will find everything you need to know about the empirical construction and a detailed description of the AIComp competency model, which was developed as part of our AI competency study.
KI im Studium aus Studierendensicht: Nutzung, Fähigkeiten und Einstellungen Studierender zu KI
Ergebnisse aus Daten der DHBW-Studierenden-Panelstudie 2024
In dieser Studie erfahren Sie, wie gut sich DHBW-Studierende aktuell auf den Umgang mit KI vorbereitet fühlen, zu welchen Zwecken sie KI nutzen und an welchen Punkten Lehrende ansetzen können, um KI in ihre Curricula zu integrieren.
Die Datenbasis als Download finden Sie hier.
KI-Kompetenzbedarfe der baden-württembergischen Wirtschaft
Future Skills
Ergebnisse einer Befragung von 839 Werktätigen aus baden-württembergischen Organisationen zum Stand der KI-Einführung
pitch deck presentation of the competence framework
Future Skills for a world shaped by AI
The AIComp model consists of 12 competence fields, which are explained and illustrated here with definitions and concrete examples.
Figures, datasets and background information
Tabular presentation of the results
In the Excel tables stored here you will find all the data and figures relating to our study results.
Competence levels for Future Skills
taxonomy according to Bloom
In this summary you will find competence levels for the AICOMP Future Skills, which were formulated as levels on the basis of Bloom's (1956) six-level taxonomy in the revision by Anderson & Krathwohl (2001).
AICOMP - FUTURE SKILLS IN A WORLD INCREASINGLY SHAPED BY AI
EDEN Paper
Publication of the first part of the AIComp study - status 06/2023
pitch deck presentation of the study results
Empirical study on the subject Future Skills for a world shaped by AI
The quantitative online survey on the AIComp model was statistically analyzed in depth. You can find all the information in figures and graphics here.

KOMPETENZEN FÜR DIE KI-WELT
FUTURE SKILLS FRAMEWORK
AIComp Videos

Online Presentation AI
Future Skills Model AIComp
In an online session, Ulf-Daniel Ehlers presents the results of the currently largest AI skills study and introduces the AI Future Skills Model AIComp.

Empirical design
In this short video, we present the technical data and background of the AIComp study as well as some exciting findings.

Introduction
Find out more about the AI competence model AIComp and the research work behind it as part of the AI Campus initiative.

Focus of expertise
What skills do we need in an AI-influenced living and working environment? In this short video, we present the AIComp competency model in more detail.

Online Presentation AI
Future Skills Model AIComp
In an online session, Ulf-Daniel Ehlers presents the results of the currently largest AI skills study and introduces the AI Future Skills Model AIComp.

Introduction
Find out more about the AI competence model AIComp and the research work behind it as part of the AI Campus initiative.

Focus of expertise
What skills do we need in an AI-influenced living and working environment? In this short video, we present the AIComp competency model in more detail.

Empirical design
In this short video, we present the technical data and background of the AIComp study as well as some exciting findings.
Project team
Director of the Researchgroup and Professorship for Educational Management and Lifelong Learning
Akademische Mitarbeiterin
Director of the Researchgroup and Professorship for Educational Management and Lifelong Learning
Akademische Mitarbeiterin
Project related publications
01 Ehlers, U.-D., Lindner, M., Sommer, S., & Rauch, E. (2023): AICOMP - Future Skills in a World Increasingly Shaped By AI. Ubiquity Proceedings. In: Ubiquity Proceedings. 3(1). pp. 230-239. DOI: https://doi.org/10.5334/uproc.91.
02 Lindner, M., Ehlers, U.-D., & Rauch, E. (2023): Future Skills in einer KI-geprägten Welt:. Ergebnisse der baden-württembergweiten Studie "AI Comp" zu einem KI-Kompetenzrahmen.. Wengler, K.; Reichardt, D.; Pfisterer, D. (Ed.). In: DHBW AI Transfer Congress 2023. In: DHBW Stuttgart. Heilbronn.
03 Ehlers, U.-D. (2023): Kompetenzen für die KI-Welt. managerSeminare Verlags GmbH. In: Future Skills Framework. H. 305. 8 (2023). pp. 72-76.
ONLINE ACCESS
07 Ehlers, U.-D., Lindner, M., & Rauch, E. (2023): AIComp - Forschungsergebnisse 2023 -
Empirische Studie zum Thema Future Skills für eine von KI geprägte Welt. Foliensatz. Karlsruhe.
ONLINE ACCESS
08 Ehlers, U.-D., Lindner, M., & Rauch, E. (2023): AIComp - Study results 2023 -
Empirical Study on the Subject Future Skills for a world shaped by AI. Slide set. Karlsruhe.
ONLINE ACCESS
11 Ehlers, U.-D., Lindner, M., & Rauch, E. (2023): AIComp - Zahlen, Datensätze und Hintergrundinformationen. Tabellarische Aufarbeitung der Ergebnisse. Karlsruhe.
ONLINE ACCESS