Interactive learning on demand: a chat-based app for statistics education

Autor:	Berens, Florian, Hobert, Sebastian
Přispěvatelé:	14th International Conference on Technology in Mathematics Teaching - ICTMT 14 : Essen, Germany, 22nd to 25th of July 2019
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	supervision individualization Externe » Sonstige Einrichtungen artificial intelligence -- individualization -- pedagogical conversational agent -- self-study -- supervision ComputingMilieux_COMPUTERSANDEDUCATION self-study pedagogical conversational agent ddc:510 artificial intelligence
Popis:	In addition to course meetings, the learning process of students includes many components of self-study. While communication with lecturers about individual questions is difficult in large classes, access to help is even harder to get in the self-study phases. This project provides an app and tests it in a statistics course that supports all learning steps and learning locations. In form of a chat that answers automatically via artificial intelligence, the student is supervised and challenged at all times. Proceedings of the 14th International Conference on Technology in Mathematics Teaching – ICTMT 14: Essen, Germany, 22nd to 25th of July 2019, p. 245
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7dd4771ca35ee3e6238b69ba5d412e2f https://duepublico2.uni-due.de/servlets/MCRFileNodeServlet/duepublico_derivate_00070779/Berens_et_al_Interactive_Learning.pdf Zobrazit plný text záznamu