Logo des Repositoriums
 
Konferenzbeitrag

Enhancing Online Practical Assignments through Chatbot-Based Individualization and Scalability

Lade...
Vorschaubild

Volltext URI

Dokumententyp

Text/Conference Paper

Zusatzinformation

Datum

2024

Autor:innen

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik e.V.

Zusammenfassung

This research investigates the scalability and individualisation challenges of online practical assignments in online learning modules. Utilising a MOOC prototype in a blended learning framework, the study employs the Action Design Research (ADR) method to enhance online learning. Key interventions include chatbots for task provision and feedback, aiming to offer personalised and scalable solutions. The study will evaluate these interventions' impact on learning outcomes and develop a comprehensive conceptual framework. Findings will provide insights into effective technological solutions, contributing significantly to the field of Human-Computer Interaction (HCI) and online education.

Beschreibung

Shahriar, Asif (2024): Enhancing Online Practical Assignments through Chatbot-Based Individualization and Scalability. Mensch und Computer 2024 - Workshopband. DOI: 10.18420/muc2024-mci-dc-377. Gesellschaft für Informatik e.V.. MCI: Doctoral Consortium. Karlsruhe. 1.-4. September 2024

Zitierform

Tags