A user-centric framework for educational chatbots design and development

Conference paper


Bahja, M., Hammad, R. and Butt, G. 2020. A user-centric framework for educational chatbots design and development. HCII 2020: 22nd HCI International Conference, . Copenhagen, Denmark (Online) 19 - 24 Jul 2020 Springer, Cham. https://doi.org/10.1007/978-3-030-60117-1_3
AuthorsBahja, M., Hammad, R. and Butt, G.
TypeConference paper
Abstract

Increasing frequency of epidemics, such as SARS-CoV, MERS-CoV, Ebola, and the recent COVID-19, have affected various sectors, especially education. As a result, emphasis on e-learning and distance learning has been increasing in recent years. The growing numbers of mobile users and access to the internet across the world has created more favorable conditions for adopting distance learning on a wider scale. However, lessons learnt from current experiments have highlighted poor student engagement with learning processes, hence a user-centric approach to design and develop educational chatbots is presented. A User-centric approach enables developers to consider the following: learners’ and teachers’ technological skills and competencies, attitudes, and perceptions and behaviour; conceptual concerns, such as pedagogical integration on online platforms, assessment procedures, varying learning culture and lifestyles; technical concerns, such as privacy, security, performance, ubiquity; and regulatory concerns, such as policies, frameworks, standards, ethics, roles and responsibilities have been identified in this study. To address these concerns, there is the need for user-centric design and collaborative approaches to the development of distance learning tools. Considering the abovementioned challenges and the growing emphasis on distance learning, we propose chatbot learning as an effective and efficient tool for delivering such learning. In this regard, a user-centric framework for designing chatbot learning applications and a collaborative user-centric design methodology for developing chatbot learning applications is proposed and discussed.

Year2020
ConferenceHCII 2020: 22nd HCI International Conference,
PublisherSpringer, Cham
Publication dates
Online17 Oct 2020
Publication process dates
Deposited14 Aug 2024
Journal citation12424, pp. 32-43
ISSN0302-9743
1611-3349
Book titleHCI International 2020 - Late Breaking Papers: Multimodality and Intelligence: 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings
Book editorStephanidis, C.
Kurosu, M.
Degen, H.
Reinerman-Jones, L.
ISBN9783030601164
9783030601171
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-030-60117-1_3
Web address (URL) of conference proceedingshttps://link.springer.com/book/10.1007/978-3-030-60117-1
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