105,587 research outputs found
Smart Learning
Artificial intelligence applied to the educational field has a vast potential, especially after
the e ects worldwide of the COVID-19 pandemic. Online or blended educational modes are needed
to respond to the health situation we are living in. The tutorial e ort is higher than in the traditional
face-to-face approach. Thus, educational systems are claiming smarter learning technologies that
do not pretend to substitute the faculty but make their teaching activities easy. This Special Issue is
oriented to present a collection of papers of original advances in educational applications and services
propelled by artificial intelligence, big data, machine learning, and deep learning
Evaluation of Attitudes and Perceptions in Students about the Use of Artificial Intelligence in Dentistry
Background: The implementation of artificial intelligence brings with it a great change in
health care, however, there is a discrepancy about the perceptions and attitudes that dental students
present towards these new technologies. Methods: The study design was observational, descriptive,
and cross-sectional. A total of 200 dental students who met the inclusion criteria were surveyed
online. For the qualitative variables, descriptive statistical measures were obtained, such as absolute
and relative frequencies. For the comparison of the main variables with the type of educational
institution, sex and level of education, the chi-square test or Fisher0s exact test was used according
to the established assumptions with a level of statistical significance of p < 0.05 and a confidence
level of 95%. Results: The results indicated that 86% of the students surveyed agreed that artificial
intelligence will lead to great advances in dentistry. However, 45% of the participants disagreed that
artificial intelligence would replace dentists in the future. In addition, the respondents agreed that the
use of artificial intelligence should be part of undergraduate and postgraduate studies with 67% and
72% agreement rates respectively. Conclusion: The attitudes and perceptions of the students indicate
that 86% agreed that artificial intelligence will lead to great advances in dentistry. This suggests a
bright future for the relationship between dentists and artificial intelligenceResearch Direction of Universidad Peruana de Ciencias Aplicadas EXPOSTUPC-
202
AI in Education
Artificial intelligence (AI) is changing the world as we know it. Recent advances are enabling people, companies, and governments to envision and experiment with new methods of interacting with computers and modifying how virtual and physical processes are carried out. One of the fields in which this transformation is taking place is education. After years of witnessing the incorporation of technological innovations into learning/teaching processes, we can currently observe many new research works involving AI. Moreover, there has been increasing interest in this research area after the COVID-19 pandemic, driven toward fostering digital education. Among recent research in this field, AI applications have been applied to enhance educational experiences, studies have considered the interaction between AI and humans while learning, analyses of educational data have been conducted, including using machine learning techniques, and proposals have been presented for new paradigms mediated by intelligent agents. This book, entitled “AI in Education”, aims to highlight recent research in the field of AI and education. The included works discuss new advances in methods, applications, and procedures to enhance educational processes via artificial intelligence and its subfields (machine learning, neural networks, deep learning, cognitive computing, natural language processing, computer vision, etc.)
Generative AI for learning: Investigating the potential of synthetic learning videos
Recent advances in generative artificial intelligence (AI) have captured
worldwide attention. Tools such as Dalle-2 and ChatGPT suggest that tasks
previously thought to be beyond the capabilities of AI may now augment the
productivity of creative media in various new ways, including through the
generation of synthetic video. This research paper explores the utility of
using AI-generated synthetic video to create viable educational content for
online educational settings. To date, there is limited research investigating
the real-world educational value of AI-generated synthetic media. To address
this gap, we examined the impact of using AI-generated synthetic video in an
online learning platform on both learners content acquisition and learning
experience. We took a mixed-method approach, randomly assigning adult learners
(n=83) into one of two micro-learning conditions, collecting pre- and
post-learning assessments, and surveying participants on their learning
experience. The control condition included a traditionally produced instructor
video, while the experimental condition included a synthetic video with a
realistic AI-generated character. The results show that learners in both
conditions demonstrated significant improvement from pre- to post-learning
(p<.001), with no significant differences in gains between the two conditions
(p=.80). In addition, no differences were observed in how learners perceived
the traditional and synthetic videos. These findings suggest that AI-generated
synthetic learning videos have the potential to be a viable substitute for
videos produced via traditional methods in online educational settings, making
high quality educational content more accessible across the globe.Comment: 12 pages, 1 table, 3 figures. International conference of Artificial
Intelligence in Education (AIED 2023
AI Education: Open-Access Educational Resources on AI
Open-access AI educational resources are vital to the quality of the AI education we offer. Avoiding the reinvention of wheels is especially important to us because of the special challenges of AI Education. AI could be said to be “the really interesting miscellaneous pile of Computer Science”. While “artificial” is well-understood to encompass engineered artifacts, “intelligence” could be said to encompass any sufficiently difficult problem as would require an intelligent approach and yet does not fall neatly into established Computer Science subdisciplines. Thus AI consists of so many diverse topics that we would be hard-pressed to individually create quality learning experiences for each topic from scratch. In this column, we focus on a few online resources that we would recommend to AI Educators looking to find good starting points for course development. [excerpt
DESIGN KNOWLEDGE FOR VIRTUAL LEARNING COMPANIONS
Conversational agents (CAs) are getting smarter thanks to advances in artificial intelligence, which opens the potential to use them in educational contexts to support (working) students. In addition, CAs are turning toward relationship-oriented virtual companions (e.g., Replika). Synthesizing these trends, we derive the virtual learning companion (VLC), which aims to support working students in their time management and motivation. In addition, we propose design knowledge, which was developed as part of a design science research project. We derive nine design principles, 28 meta-requirements, and 33 categories of design features based on interviews with students and experts, the results of an interdisciplinary workshop, and a user test. We aim to demonstrate how to design VLCs to unfold their potential for individual student support
A Revolution in Medical Education: Are we ready to apply Artificial Intelligence?
Today, artificial intelligence (AI) became a hotspot in different fields of sciences, especially in medical education. This term was developed by John McCarthy in which he defined a machine that can intelligently think and perform instead of man more than 66 years ago. However, like many other new advances in educational systems, AI is not fully adjusted in the Iranian medical education system as a developing country. Therefore, we investigated the limitations and obstacles of applying AI in the Iranian medical education system over its advantages. Considering the features and benefits of AI in medical education, it seems that this technology can help to achieve the lofty goals of teaching and learning in medical sciences; But the main question is what are the limitations and obstacles to the apply artificial intelligence in the Iranian medical education system? It can be concluded that whether AI advantages push us to apply it in our medical educational system, but its limitations and obstacles in the Iranian medical educational system make it difficult to use this valuable technology
The Faculty Notebook, September 2016
The Faculty Notebook is published periodically by the Office of the Provost at Gettysburg College to bring to the attention of the campus community accomplishments and activities of academic interest. Faculty are encouraged to submit materials for consideration for publication to the Associate Provost for Faculty Development. Copies of this publication are available at the Office of the Provost
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