Computers & Education: Artificial Intelligence

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Tipo: artículo

Metodología: trabajo teórico

Temas: inteligencia artificial alfabetización en IA competencia digital

Resumen:

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...

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)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial chatbots enseñanza/aprendizaje de lenguas

Resumen:

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,...

Myths, mis- and preconceptions of artificial intelligence: A review of the literature

Arne Bewersdorff, Xiaoming Zhai, Jessica Roberts (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial alfabetización en IA competencia digital

Resumen:

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...

Systematic literature review on opportunities, challenges, and future research recommendations of artificial intelligence in education

Thomas K.F. Chiu, Qi Xia, Xinyan Zhou (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa evaluación

Resumen:

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...

AI proctoring for offline examinations with 2-Longitudinal-Stream Convolutional Neural Networks

Jason Tong Liu (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial evaluación tecnología educativa

Resumen:

In recent years, Artificial Intelligence (AI)-assisted proctoring techniques have developed rapidly, but most are for online exams. On the contrary, this study aims to explore the AI-based visual proctoring approach through surveillance cameras in real-world offline examination rooms (usually classrooms) to assist proctoring, with contributions from three perspectives: First, to proctor in the offline examination rooms, a visual assessment system is introduced that can be applied in the majority of various classrooms for proctoring after corresponding model training. Second, the new proposed 2-Longitudinal-Stream Convolutional Neural Networks model can adequately adapt to the large-...

Exploring the AI competencies of elementary school teachers in South Korea

Keunjae Kim, Kyungbin Kwon (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial alfabetización en IA formación de profesores

Resumen:

Although the importance of K–12 artificial intelligence (AI) education grows, the lack of teacher readiness hinders the integration of AI in schools. To address this issue, this study aimed to explore South Korean elementary school teachers' experiences teaching AI curricula and examine their competencies. A survey and interviews were conducted with 67 elementary school teachers who have been working in AI-leading schools in South Korea. The results indicated that teachers were least confident in content knowledge, followed by technological knowledge and pedagogical knowledge relevant to AI. Additionally, interviews with 13 teachers revealed five themes regarding AI education: (1)...

A systematic review of intelligent tutoring systems based on Gross body movement detected using computer vision

T.S. Ashwin, Vijay Prakash, Ramkumar Rajendran (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa comunicación no verbal

Resumen:

The computer vision applications in intelligent tutoring systems (ITS) have enabled its use in various domains such as dance and sports. The adaptation in the tutoring system is based on the analysis of hand gestures, body postures, and movement. All these are termed as gross body movements (GBM). The use of these in the intelligent tutoring systems is termed as GBM-ITS in this article. There is no survey paper that considers the use of GBM-ITS in different domains. A systematic process is followed to address six review questions (RQs) by considering the 33 articles published between 2010 to 2022. A brief discussion regarding the methods adopted for analysis and the performance...

Surfing the technology wave: An international perspective on enhancing teaching and learning in accounting

Maryam Omer Madhaffar Al Ghatrifi, Jawaher Salim Sultan Al Amairi, Mohammed Muneerali Thottoli (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial tecnología educativa educación superior

Resumen:

Purpose: This study aims to find and assess the literature on technology (Software, artificial intelligence, blockchain, cloud, big data, enterprise resource planning, information communication technology, data analytics, mobile computing, fintech, internet of things, and computer assisted auditing techniques) in accounting teaching and learning. Design/methodology/approach: A comprehensive analysis of the literature on the subject was conducted by the authors, who consider 66 papers that were found in the Scopus database. To analyze and outline potential areas for future research in this area, the authors also used a bibliometric analysis to pinpoint the key features of these...

Ethical principles for artificial intelligence in K-12 education

Catherine Adams, Patti Pente, Gillian Lemermeyer (2023)

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Tipo: artículo

Metodología: revisión bibliográfica

Temas: inteligencia artificial ética educación primaria y secundaria

Resumen:

Advances in Artificial Intelligence in Education (AIED) are providing teachers with a wealth of new tools and smart services to facilitate student learning. Meanwhile, growing public concern over the potentially harmful societal effects of AI has prompted the publication of a flurry of AI ethics guidelines and policy documents authored by national and international government agencies, academic consortia and industrial stakeholders. AI ethics policy guidance specific to children and K-12 education has lagged behind; this scene is swiftly changing. In this paper, we examine the ethical principles currently informing AI ethics policy development for children and K-12 education. To...

Towards an understanding of the engagement and emotional behaviour of MOOC students using sentiment and semantic features

Xiaohui Tao, Aaron Shannon-Honson, Patrick Delaney (2023)

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Tipo: artículo

Metodología: estudio empírico

Temas: inteligencia artificial enseñanza en línea e híbrida analítica del aprendizaje

Resumen:

Online learning and teaching increased in 2020, driven by the COVID-19 pandemic. As many researchers attempted to understand the impact stress had on the emotional behaviours and academic performance of students, most studies explored these pre- and during-COVID behaviours in the context of brick and mortar institutions transitioning to online delivery. There is an opportunity to compare the experiences of students in the MOOC environment in this period, particularly in terms of the difference of engagement, semantics and sentiment/stress behaviours in 2019 and 2020. In this study, we use a dataset from AdelaideX between this time period to identify the most significant features...