15,483 research outputs found

    Chatbots for learning: A review of educational chatbots for the Facebook Messenger

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    With the exponential growth in the mobile device market over the last decade, chatbots are becoming an increasingly popular option to interact with users, and their popularity and adoption are rapidly spreading. These mobile devices change the way we communicate and allow ever-present learning in various environments. This study examined educational chatbots for Facebook Messenger to support learning. The independent web directory was screened to assess chatbots for this study resulting in the identification of 89 unique chatbots. Each chatbot was classified by language, subject matter and developer's platform. Finally, we evaluated 47 educational chatbots using the Facebook Messenger platform based on the analytic hierarchy process against the quality attributes of teaching, humanity, affect, and accessibility. We found that educational chatbots on the Facebook Messenger platform vary from the basic level of sending personalized messages to recommending learning content. Results show that chatbots which are part of the instant messaging application are still in its early stages to become artificial intelligence teaching assistants. The findings provide tips for teachers to integrate chatbots into classroom practice and advice what types of chatbots they can try out.Web of Science151art. no. 10386

    How intentions to create a social venture are formed. A case study

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    This exploratory study on one social entrepreneur challenges existing knowledge on the intention formation process of entrepreneurship. Drawing from social and cognitive psychology, we adapt an intention-based model from entrepreneurship and translate it to social entrepreneurship. Building on our findings, we argue that social entrepreneurs - like traditional entrepreneurs - experience perceptions of feasibility and desirability, and a propensity to act. However, complementing research on traditional entrepreneurs, we suggest that, in a preceding stage, social entrepreneurs develop social sentiments. Furthermore, we identify willpower, support, and the construction of opportunity as important antecedents of perceptions of feasibility and desirability, and propensity to act.social entrepreneurship; intention; cognition;

    Building audiences: Aboriginal and Torres Strait Islander arts

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    Building Audiences examines the barriers to and the strategies for increasing audiences in the Aboriginal and Torres Strait Islander arts sector. This research investigates the attitudes, beliefs and behaviours of current and potential audiences. What is in the report? The findings reveal the key barriers facing audience attendance include: uncertainty about how to behave at cultural events and fear of offending lack of awareness with audiences not actively seeking information about Indigenous arts and outdated perceptions of the sector – that it is only perceived as ‘serious or educational’. Building Audiences also considered several strategies to build audiences for Indigenous arts: providing skills development, advice and resourcing to Indigenous practitioners within the arts sector; increasing representation of Indigenous artists in the main programing of arts companies by including more Indigenous people in decision making roles; promoting relationships between Indigenous arts and non-Indigenous companies to present their work to wider audiences; introducing children and young people to Indigenous arts through schools and extracurricular activities; allowing audiences to feel comfortable engaging by creating accessible experiences; implementing long-term strategies to change negative perceptions of Indigenous arts. The project was commissioned by the Australia Council for the Arts and funding partners include Australia Council for the Arts; Faculty of Business and Law and Institute of Koorie Education, Deakin University; Melbourne Business School, The University of Melbourne

    CGAMES'2009

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    Machine intelligence, adaptive business intelligence, and natural intelligence

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    Copyright © 2008 IEEEOne of the key observations of the author was that machine intelligence might be defined as the capability of a system to adapt its behavior to meet desired goals in a range of environments. Interestingly, the three components of prediction, adaptation, and optimization constitute the core modules of adaptive business intelligence systems. Clearly, the future of the business intelligence industry lies in systems that can make decisions, rather than tools that produce detailed reports.Zbigniew Michalewicz and Matthew Michalewic

    Cognitive and affective perspectives on immersive technology in education

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    This research explains the rationale behind the utilization of mobile learning technologies. It involves a qualitative study among children to better understand their opinions and perceptions toward the use of educational applications (apps) that are available on their mobile devices, including smartphones and tablets. The researchers organized semi-structured, face-to-face interview sessions with primary school students who were using mobile technologies at their primary school. The students reported that their engagement with the educational apps has improved their competencies. They acquired relational and communicative skills as they collaborated in teams. On the other hand, there were a few students who were not perceiving the usefulness and the ease of use of the educational apps on their mobile device. This study indicates that the research participants had different skillsets as they exhibited different learning abilities. In conclusion, this contribution opens-up avenues for future research in this promising field of study.peer-reviewe
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