Project VoLL-KI

被引：1

作者：

Kohlhase, Michael ^{[1
]}

Berges, Marc ^{[1
]}

Grubert, Jens ^{[3
]}

Henrich, Andreas ^{[4
]}

Landes, Dieter ^{[3
]}

Leidner, Jochen L. ^{[2
,5
]}

Mittag, Florian ^{[3
]}

Nicklas, Daniela ^{[4
]}

Schmid, Ute ^{[4
]}

Sedlmaier, Yvonne ^{[3
]}

Ende, Achim Ulbrich-vom ^{[4
]}

Wolter, Diedrich ^{[4
]}

机构：

[1] Friedrich Alexander Univ Erlangen Nurnberg, Dept Comp Sci, Erlangen, Germany

[2] Univ Sheffield, Comp Sci, Sheffield, England

[3] Hsch Coburg, Informat, Coburg, Germany

[4] Otto Friedrich Univ Bamberg, Informat, Bamberg, Germany

[5] Hsch Coburg, Wirtschaftswissensch, Coburg, Germany

来源：

KUNSTLICHE INTELLIGENZ | 2024年

关键词：

Computer-aided education; Intelligent tutoring systems; Teaching support for artificial intelligence education; Computer-aided learning (CAL); Data-driven learning quality management; Study course monitoring; Learning analytics; REALITY; SCIENCE;

D O I：

10.1007/s13218-024-00846-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

"Learning from Learners" ("Von Lernenden Lernen", "VoLL-KI " for short) is a is collaborative research project with the goal of creating a practical toolbox of instruments at different levels of abstraction to improve the learning experience and outcomes for students of artificial intelligence. Learning and teaching at tertiary education institutions are currently IT-based but not AI-supported. The VoLL-KI project aims to go this crucial next step. Using AI approaches (e.g., ML, symbolic AI, statistical AI), several educational technologies are developed on the different granularity of the study programs (e.g., course, semester, program). So, dashboards for study planning, recommender systems improving student advisory services and learning material selection, VR-based learning experiences, educational chatbots, and adaptive learning environments are developed. The systems are mostly deployed as prototypes

引用

页数：11

共 51 条

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