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  • Computers & Education: Artificial Intelligence

Revistas: Computers & Education: Artificial Intelligence

Nº de publicaciones: 30

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Myths, mis- and preconceptions of artificial intelligence: A review of the literature
Arne Bewersdorff, Xiaoming Zhai, Jessica Roberts (2023)
Computers & Education: Artificial Intelligence 4
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA competencia digital

Resumen:

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Artificial Intelligence (AI) is prevalent in nearly every aspect of our lives. However, recent studies have found a significant amount of confusion and misunderstanding surrounding AI. To develop effective educational programs in the field of AI, it is vital to examine and understand learners' pre- and misconceptions as well as myths about AI. This study examined a corpus of 591 studies. 25 relevant studies were identified by applying the following eligibility criteria: English-written original empirical research on education and AI and reporting AI conceptions in a formal learning context. The review found studies from six continents, with the majority conducted in Europe and North...

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Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education
Thomas K.F. Chiu, Qi Xia, Xinyan Zhou (2023)
Computers & Education: Artificial Intelligence 4
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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa evaluación

Resumen:

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Applications of artificial intelligence in education (AIEd) are emerging and are new to researchers and practitioners alike. Reviews of the relevant literature have not examined how AI technologies have been integrated into each of the four key educational domains of learning, teaching, assessment, and administration. The relationships between the technologies and learning outcomes for students and teachers have also been neglected. This systematic review study aims to understand the opportunities and challenges of AIEd by examining the literature from the last 10 years (2012–2021) using matrix coding and content analysis approaches. The results present the current focus of AIEd...

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Empowering learners for the age of artificial intelligence
Dragan GaševiΔ‡, George Siemens, Shazia Sadiq (2023)
Computers & Education: Artificial Intelligence 4
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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial alfabetización en IA competencia digital

Resumen:

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Although studied for decades by the research community, artificial intelligence (AI) in education has recently sparked much public debate with the wide-spread popularity of systems such as ChatGPT and DALL-E. Existing literature offers a wealth of research on design, deploying and evaluating AI-driven systems in education. However, the challenges related to the growing influence of AI in the society, calls for revisiting research foundations of AI in education in order to inform decision-making in policy and guide future research. This special issue of Computers & Education: Artificial Intelligence brings 11 papers that explore the theme of empowering learners for the age of AI...

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A systematic review on artificial intelligence dialogue systems for enhancing English as foreign language students’ interactional competence in the university
Chunpeng Zhai, Santoso Wibowo (2023)
Computers & Education: Artificial Intelligence 4
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial chatbots enseñanza/aprendizaje de lenguas

Resumen:

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Previous studies demonstrate that the use of artificial intelligence (AI) dialogue systems for English as a Foreign Language (EFL) education has effectively improved university students' reading, writing, and listening abilities. However, there are limited systematic reviews focused on the evidence-based interactional competence of EFL university students. This study aims to examine the use of AI dialogue systems to enhance EFL university students' interactional competence. Through the PRISMA process, this study identified 28 articles published between January 2013 and August 2022 in journals and conferences from the most popular databases, including Google Scholar, ProQuest, IEEE,...

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Delphi study for the development and preliminary validation of an item set for the assessment of non-experts' AI literacy
Matthias Carl Laupichler, Alexandra Aster, Tobias Raupach (2023)
Computers & Education: Artificial Intelligence 4
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA evaluación

Resumen:

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Artificial intelligence literacy is a concept that has been the focus of exhaustive research recently. However, there are very few psychometrically sound and thoroughly evaluated instruments that attempt to assess AI literacy in a valid way. Therefore, this study presents an item set to assess the AI literacy of non-experts. In the context of a Delphi expert study, 53 subject matter experts participated in three iterative questionnaire rounds to generate potential AI literacy items and assess their content validity. In addition, the experts made suggestions on how the items’ wording accuracy could be improved and evaluated the wording suggestions of the other experts. Of 47...

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AI-based learning content generation and learning pathway augmentation to increase learner engagement
Chaitali Diwan, Srinath Srinivasa, Gandharv Suri (2023)
Computers & Education: Artificial Intelligence 4
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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial tecnología educativa creación de materiales

Resumen:

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Retaining learner engagement is a major challenge in online learning environments, which is even more intensified with learning spaces increasingly built by combining resources from multiple independent sources. Narrative-centric learning experience has been found to improve learner engagement by several researchers. Towards this end, we propose an AI-based approach that generates auxiliary learning content called narrative fragments which are interspersed into the learning pathways to create interactive learning narratives. The proposed approach consists of the automatic generation of two types of narrative fragments– overviews of the learning pathway segments and reflection...

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Artificial Intelligence teaching and learning in K-12 from 2019 to 2022: A systematic literature review
Saman Rizvi, Jane Waite, Sue Sentance (2023)
Computers & Education: Artificial Intelligence 4
Detalles Cerrar βœ•

Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA educación primaria y secundaria

Resumen:

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There is an emerging interest in Artificial Intelligence (AI) teaching and learning in the K-12 setting. While some work has explored the educational content and resources used for this purpose, there is limited empirical evidence on the effectiveness of such AI education interventions. The primary objective of the systematic literature review presented in this paper was to examine research with empirical evidence reporting learning outcomes for teaching and learning AI in K-12 between 2019 and 2022. Through a rigorous selection process, a total of 28 studies were included in the final analysis out of 8,175 papers identified from five research databases using specific search terms....

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Acceptance of artificial intelligence in teaching science: Science teachers' perspective
Abdulla Al Darayseh (2023)
Computers & Education: Artificial Intelligence 4
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creencias y actitudes de los profesores profesorado

Resumen:

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Over the last few decades, there has been growing interest in artificial intelligence (AI) and how to apply it effectively in the educational process. The behavioural intention and attitudes of teachers play an important role in this regard. The technology acceptance model (TAM) has been shown to be effective in predicting factors that may positively or negatively influence behavioural intentions to use technology. The current study therefore aims to use this model to reveal teachers’ perceptions of the factors that influence the use of AI applications in science education. This research uses the descriptive method where a 6-dimensional scale is designed based on the components of...

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Pre-service teachers' perceptions and intentions regarding the use of chatbots through statistical and lag sequential analysis
Tzu-Chi Yang, Jian-Hua Chen (2023)
Computers & Education: Artificial Intelligence 4
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial chatbots formación de profesores

Resumen:

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Chatbots provide unique interactions with compatible learning system features, improving the limitations of current learning systems. Educational chatbots are seen as the future of technology integration in the field of education. The success and usefulness of chatbots in the educational setting are highly dependent on teachers' beliefs regarding their efficacy, yet most research focuses on the effects on students' learning. Only a few studies have investigated teachers’ beliefs regarding the use of chatbots, which is considered an important issue. Owning to teachers' beliefs having been transformed from their pre-service teacher training, this study used quantitative (i.e.,...

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University teachers' perceptions of responsibility and artificial intelligence in higher education - An experimental philosophical study
Cormac McGrath, Teresa Cerratto Pargman, Niklas Juth (2023)
Computers & Education: Artificial Intelligence 4
Detalles Cerrar βœ•

Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial creencias y actitudes de los profesores profesorado

Resumen:

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This study investigates university teachers’ relationships with emerging technologies by focusing on the uptake of artificial intelligence in higher education practices. We utilise an experimental philosophy approach to i) determine university teachers’ intuitions around universities’ responsibilities to adopt new artificial intelligence technologies, ii) understand the conditions under which university teachers consider artificial intelligence defensible and, hence, would be willing to introduce such tools and services into their daily practice and iii) specify teachers’ self-reported knowledge of artificial intelligence. An online survey, where participants were sent one of three...

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