Integrating artificial intelligence into radiology practice: undergraduate students’ perspective

2021 ◽  
Author(s):  
Arosh S. Perera Molligoda Arachchige ◽  
Afanasy Svet
Keyword(s):  
Artificial Intelligence ◽  
Undergraduate Students ◽  
Radiology Practice

Opinion of Computer Science Instructors and Students on MOOCs in an Indian University

2018 ◽  
Vol 47 (2) ◽  
pp. 205-212 ◽  
Author(s):  
Pushp Sra ◽  
Pinaki Chakraborty
Keyword(s):  
Artificial Intelligence ◽  
Computer Science ◽  
Undergraduate Students ◽  
Online Courses ◽  
Massive Open Online Courses ◽  
Computer Networking ◽  
Classroom Teaching ◽  
Massive Open Online ◽  
Effective Form ◽  
Science Instructors

Massive open online courses (MOOCs) have lately emerged as an effective form of distance education. Computer science is one of those disciplines in which MOOCs are quite common. We conducted a survey to know the opinion of computer science instructors and undergraduate students on MOOCs in an Indian university in March 2018. Of the 26 instructors and 273 students who participated, 73% instructors and 87% students reported to have attended MOOCs. We found that 50% instructors and 72% students considered MOOCs to be a more comprehensive source of knowledge and 54% instructors and 76% students felt that MOOCs let students learn faster when compared to courses taught in a classroom. Moreover, 58% instructors believed that the courses they teach in classrooms can also be taught effectively through MOOCs. The instructors and students appreciated several aspects of MOOCs. However, the students had an opinion that MOOCs can augment classroom teaching but cannot replace it. MOOCs on computer programming (22%), artificial intelligence (9%), and computer networking (8%) were found to be particularly popular among the students.

scholarly journals A Study of Piano Timbre Teaching in the Context of Artificial Intelligence Interaction

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Cui Wei
Keyword(s):  
Artificial Intelligence ◽  
Undergraduate Students ◽  
Teaching Practice ◽  
Development Trend ◽  
Teaching Experiment ◽  
Experimental Results ◽  
Piano Teaching ◽  
Teaching Objectives ◽  
Depth Analysis ◽  
Software Modules

This paper provides an in-depth analysis and research on piano timbre teaching in the context of artificial intelligence interaction, a bold vision of piano teaching, proposes a feasible solution in terms of teaching modules in intelligent piano teaching for senior teachers, and proposes an implementation path for the integration of intelligent piano and piano teaching from the four main blocks of piano teaching. Based on the multiplicative harmonic model of monophonic signal, combined with the variability of timbre characteristics, an audio synthesis model with editable timbre is proposed, and the experimental results show that editing the timbre parameters in the model can realize timbre modification, and the synthesized timbre conforms to the piano timbre characteristics. Based on the timbre analysis and the timbre synthesis model, a piano timbre library generation system is designed. The detailed design of the software modules such as audio file reading and writing, audio information analysis, timbre parameter acquisition, timbre synthesis, and simulated performance is given. The system can generate piano timbre libraries of different qualities flexibly and meet the requirements of timbre realism. The teaching experiment designed for teaching practice from solo teaching, and the practice target is first-year undergraduate students in the university, and the practice period is six weeks, and finally, the feasibility of intelligent piano teaching application is analysed by combining the experimental results. Through the teaching objectives, teaching content, and teaching methods, teaching environment reflects intelligent piano teaching to make up for the limitations of traditional piano teaching. Analyse the development trend of intelligent piano teaching in the context of artificial intelligence interaction, and explore the value of intelligent piano teaching.

Demographic Variables and Library Patronage of Undergraduate Students at Universities in South West Nigeria

Mousaion ◽  
2021 ◽  
Vol 38 (4) ◽  
Author(s):  
Adeyinka Tella ◽  
Akanmu Oluwole Odunola
Keyword(s):  
Artificial Intelligence ◽  
Undergraduate Students ◽  
High Speed ◽  
Industrial Revolution ◽  
Electronic Materials ◽  
Demographic Variables ◽  
South West ◽  
Chi Squared ◽  
Information Materials ◽  
And Robotics

This study investigated the influence of demographic variables, such as gender, age, and the levels of study, on the library patronage by the undergraduate students at universities in South West Nigeria. It also focused on the improvements and innovations wanted by the undergraduate students in the library in view of the technological advancements ushered in by the fourth industrial revolution, and the hindrances to the patronage of the library. A survey research design was adopted using a sample size of 1 333 respondents selected out of the total population of 239 048 undergraduate students at universities in South West Nigeria. A questionnaire was used to collect the data, which were analysed using frequencies, percentages, mean and standard deviation, Pearson’s chi-squared test and regression. The study found that the demographic variables have a significant influence on the library patronage. The most important improvements and innovations wanted by the respondents included high speed internet facilities, the introduction of artificial intelligence and robotics, increased subscriptions to more databases such as Scopus and Web of Science, and stocking the library with recent information materials that comprise both print and electronic materials. Hindrances and factors that discourage library patronage are limited and non-functioning workstations, poor networks and outdated collections. The study recommended that Nigerian university libraries provide high speed internet facilities, introduce artificial intelligence and robotics to the operations and services of the libraries, increase their academic subscriptions, and stock the libraries with recent collections.

From Data to Value: How Artificial Intelligence Augments the Radiology Business to Create Value

2020 ◽  
Vol 24 (01) ◽  
pp. 65-73 ◽  
Author(s):  
Teresa Martin-Carreras ◽  
Po-Hao Chen
Keyword(s):  
Artificial Intelligence ◽  
Computer Vision ◽  
Information System ◽  
Electronic Health Records ◽  
Use Cases ◽  
Business Analytics ◽  
Value Proposition ◽  
Health Records ◽  
Radiology Practice ◽  
Electronic Health

AbstractThe radiology practice has access to a wealth of data in the radiologist information system, dictation reports, and electronic health records. Although many artificial intelligence applications in radiology have focused on computer vision and the interpretive use cases, many opportunities exist to enhance the radiologist's value proposition through business analytics. This article explores how AI lends an analytical lens to the radiology practice to create value.

scholarly journals A Case Study: Crowd Sourced AI Programming [Research in Progress; Abstract]

10.28945/4516 ◽  
2020 ◽  
Author(s):  
Christine Bakke
Keyword(s):  
Artificial Intelligence ◽  
Experiential Learning ◽  
Software Development ◽  
Open Source ◽  
Undergraduate Students ◽  
Open Source Software ◽  
Real World ◽  
Instructional Materials ◽  
Future Research ◽  
Software Projects

Aim/Purpose: To examine crowd-sourced programming as an experiential learning, instructional medium. The goal is to provide real-time, real-world, artificial intelligence programming without textbook instructional materials. Background: Open source software has resulted in loosely knit communities of global software developers that work together on a software project. Taking open source software development to another level, current trends have expanded into crowd sourced development of Artificial Intelligence (AI). This project explored the use of Amazon Alexa’s tools and web resources to learn AI software development. Methodology: This project incorporated experiential and inquiry educational methods that combined direct experience with crowd-sourced programming while requiring students to take risks, solve problems, be creative, make mistakes and resolve them. The instructor facilitated the learning experience through weekly meetings and structured reports that focused on goal setting and analysis of problems. This project is part of ongoing research into small group creative works research that provides students with real-world coding experience. Contribution: Undergraduate students successfully programmed an introductory level social bot using experiential learning methods and a crowd-sourced programming project (Amazon Alexa social bot). Findings: A of the experience and findings will be included with final paper release summary Recommendations for Practitioners: Crowd sourced programming provides opportunities and can be harnessed for semester long coding projects to develop student programming skills through direct involvement in real open sourced projects. Recommendation for Researchers: There is a high rate of failure associated with software projects, yet pro-gramming courses continue to be taught as they have been for decades. More research needs to be done and instructional materials developed for the undergraduate level that use real programming projects. Can we improve the rate of success for software projects by requiring expe-riential education in our courses? Impact on Society: Crowd-sourced programming is an opportunity for students to learn to program and build their portfolio with real world experience. Students participating in crowd-sourced programming are involved in creative works research and gain experience developing real-world software. Future Research: Future research will explore experiential learning such as crowd-sourced and other open source programming opportunities for undergraduate students to participate in real software development.

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