Enhancing Online Practical Assignments through Chatbot-Based Individualization and Scalability
| dc.contributor.author | Shahriar, Asif | |
| dc.date.accessioned | 2024-08-21T11:08:31Z | |
| dc.date.available | 2024-08-21T11:08:31Z | |
| dc.date.issued | 2024 | |
| dc.description.abstract | 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. | en |
| dc.identifier.doi | 10.18420/muc2024-mci-dc-377 | |
| dc.identifier.uri | https://dl.gi.de/handle/20.500.12116/44251 | |
| dc.language.iso | en | |
| dc.publisher | Gesellschaft für Informatik e.V. | |
| dc.relation.ispartof | Mensch und Computer 2024 - Workshopband | |
| dc.relation.ispartofseries | Mensch und Computer | |
| dc.rights | http://purl.org/eprint/accessRights/RestrictedAccess | |
| dc.rights.uri | http://purl.org/eprint/accessRights/RestrictedAccess | |
| dc.subject | Scalability | |
| dc.subject | Personalized Learning | |
| dc.subject | Online Learning | |
| dc.subject | Chatbots | |
| dc.subject | Educational Technology | |
| dc.subject | Action Design Research (ADR) | |
| dc.title | Enhancing Online Practical Assignments through Chatbot-Based Individualization and Scalability | en |
| dc.type | Text/Conference Paper | |
| gi.conference.date | 1.-4. September 2024 | |
| gi.conference.location | Karlsruhe | |
| gi.conference.sessiontitle | MCI: Doctoral Consortium |
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