Artificial Intelligence Educational & Research Initiatives and Leadership Positions in Academic Radiology Departments

2022 ◽  
Author(s):  
David Li ◽  
John Morkos ◽  
David Gage ◽  
Paul H. Yi
Keyword(s):  
Artificial Intelligence ◽  
Educational Research ◽  
Leadership Positions ◽  
Academic Radiology ◽  
Research Initiatives

scholarly journals Impact of an Artificial Intelligence Research Frame on the Perceived Credibility of Educational Research Evidence

2019 ◽  
Vol 30 (2) ◽  
pp. 205-235 ◽  
Author(s):  
Mutlu Cukurova ◽  
Rosemary Luckin ◽  
Carmel Kent
Keyword(s):  
Artificial Intelligence ◽  
Educational Research ◽  
Educational Psychology ◽  
Research Evidence ◽  
Public Image ◽  
The Public ◽  
Perceived Credibility ◽  
Key Stakeholders ◽  
Education Community ◽  
The Impact

AbstractArtificial Intelligence (AI) is attracting a great deal of attention and it is important to investigate the public perceptions of AI and their impact on the perceived credibility of research evidence. In the literature, there is evidence that people overweight research evidence when framed in neuroscience findings. In this paper, we present the findings of the first investigation of the impact of an AI frame on the perceived credibility of educational research evidence. In an experimental study, we allocated 605 participants including educators to one of three conditions in which the same educational research evidence was framed within one of: AI, neuroscience, or educational psychology. The results demonstrate that when educational research evidence is framed within AI research, it is considered as less credible in comparison to when it is framed instead within neuroscience or educational psychology. The effect is still evident when the subjects’ familiarity with the framing discipline is controlled for. Furthermore, our results indicate that the general public perceives AI to be: less helpful in assisting us to understand how children learn, lacking in adherence to scientific methods, and to be less prestigious compared to neuroscience and educational psychology. Considering the increased use of AI technologies in Educational settings, we argue that there should be significant attempts to recover the public image of AI being less scientifically robust and less prestigious than educational psychology and neuroscience. We conclude the article suggesting that AI in Education community should attempt to be more actively engaged with key stakeholders of AI and Education to help mitigate such effects.

scholarly journals A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics

2020 ◽  
Vol 12 (9) ◽  
pp. 3760 ◽  
Author(s):  
Manuel Woschank ◽  
Erwin Rauch ◽  
Helmut Zsifkovits
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Deep Learning ◽  
Scientific Literature ◽  
Future Research ◽  
Industrial Enterprises ◽  
Smart Logistics ◽  
Research Findings ◽  
Ongoing Development ◽  
Research Initiatives

Industry 4.0 concepts and technologies ensure the ongoing development of micro- and macro-economic entities by focusing on the principles of interconnectivity, digitalization, and automation. In this context, artificial intelligence is seen as one of the major enablers for Smart Logistics and Smart Production initiatives. This paper systematically analyzes the scientific literature on artificial intelligence, machine learning, and deep learning in the context of Smart Logistics management in industrial enterprises. Furthermore, based on the results of the systematic literature review, the authors present a conceptual framework, which provides fruitful implications based on recent research findings and insights to be used for directing and starting future research initiatives in the field of artificial intelligence (AI), machine learning (ML), and deep learning (DL) in Smart Logistics.

scholarly journals The role of subjectivity in teacher expertise development: Mindfully embracing the “black sheep” of educational research

2016 ◽  
Vol 3 (1) ◽  
pp. 16-23
Author(s):  
Noriyuki Inoue
Keyword(s):  
Educational Research ◽  
Meaning Making ◽  
Research Process ◽  
Teacher Expertise ◽  
Expertise Development ◽  
Practice Improvement ◽  
Black Sheep ◽  
Objective Reasoning ◽  
Research Initiatives

Abstract In Western cultures, subjectivity has often been seen as the “black sheep” of educational research because of its heavy emphasis on objectivity. Consequently many research initiatives in education share the assumption that objective reasoning should play a central role. However, mentoring teachers’ practice improvement research often requires us to go beyond the objective dimension and encompass the subjective dimension of the research process such as teachers’ intuition, tacit knowledge and personal meaning-making. The challenge that lies in front of us is how to mindfully make sense of the role of subjectivity in teacher expertise development. This paper examines this issue in terms of three case studies of in-service teachers’ action research projects and points to what it takes for us to mindfully embrace subjectivity in mentoring teachers’ practice improvement research.

scholarly journals 'Informees' as Informers? An Approach to Effective Informing

10.28945/2608 ◽  
2003 ◽  
Author(s):  
Iwona Miliszewska ◽  
Anne Venables
Keyword(s):  
Artificial Intelligence ◽  
Active Learning ◽  
Computer Science ◽  
Educational Research ◽  
Subject Matter ◽  
Intelligent Agents ◽  
Intelligent Systems ◽  
Science Degree ◽  
The Subject ◽  
Selection Of

An Intelligent Systems subject is offered in the final year of the Computer Science degree. The subject includes a diverse selection of topics in artificial intelligence and intelligent agents. The paper reflects on an innovative approach to the implementation of this subject. The development of the approach drew on educational research and the Informing Science paradigm. The aims of the approach included enga g-ing students in active learning, integrating theory with practice, and presenting the subject matter in an effective way. An innovative aspect of the approach was participatory teaching, i.e. students acting as guest lecturers and workshop presenters. The paper presents evaluation results indicating that the aims of the approach were achieved to a large extent.

scholarly journals Mujeres en TIC: una historia de pioneras ocultas/menoscabadas y omisiones en la bibliografía=Women in ICT: A history of hidden/undermined pioneers and omissions in bibliography

2020 ◽  
pp. 165
Author(s):  
Gabriela Patricia Henning
Keyword(s):  
Artificial Intelligence ◽  
Gender Gap ◽  
Great Difficulty ◽  
Leadership Positions ◽  
History Of

<p><strong>Resumen</strong></p><p>Este trabajo analiza algunas dimensiones de la brecha de género en el campo de las TIC. Ésta no puede comprenderse en forma cabal, si no se reconoce cuál ha sido la historia de la mujer en la disciplina. Esta es una historia de mujeres invisibles, opacadas, a quienes se les negaron las posiciones de liderazgo o se les dificultó sobremanera alcanzarlas. También expone una situación donde la negación de la mujer se llevó al extremo. Tal es el caso de la Inteligencia Artificial y el taller que le dio origen como disciplina, configurando un universo masculino que se manifiesta desde las casi nulas posiciones de liderazgo, hasta la bibliografía sesgada que es discutida en el artículo.</p><p><strong>Abstract</strong></p><p>This contribution analyzes some dimensions of the gender gap in the ICT field. This problem cannot be fully understood without recognizing the history of women in the discipline. This is a story of invisible, opaque women, who were denied leadership positions or had great difficulty in reaching them. It also exposes a situation where the denial of women was carried to the extreme. Such is the case of Artificial Intelligence and the workshop that gave rise to it as a discipline. This birth configured a masculine universe that manifests itself from the almost null positions of leadership, to the biased bibliography that is discussed in the article.</p>

scholarly journals Erika Love (1925–2020)

2021 ◽  
Vol 109 (3) ◽  
Author(s):  
Gale G. Hannigan ◽  
Ana D. Cleveland ◽  
Jonathan D. Eldredge
Keyword(s):  
Early Research ◽  
Leadership Positions ◽  
Research Initiatives

Erika Love, MLA president and early advocate for research in libraries, died October 8, 2020. Erika held many leadership positions in the profession and received several MLA awards recognizing her contributions. She has been called "the midwife" of MLA's early research initiatives [1].

Sign in / Sign up

Export Citation Format

Share Document