scholarly journals Artificial Intelligence (AI) and Translation Teaching: A Critical Perspective on the Transformation of Education

2021 ◽  
Vol 33 (1-3) ◽  
Author(s):  
Liu Kanglang
Keyword(s):  
Artificial Intelligence ◽  
Teaching Method ◽  
Computer Assisted ◽  
Private Institutions ◽  
Critical Perspective ◽  
Face To Face ◽  
Recent Advancement ◽  
Motivational Mechanism ◽  
Teaching In Higher Education ◽  
Self Learning

The majority of the universities and private institutions have initiated the use of artificial intelligence (AI) and machine translation (MT) in teaching translation. Translators have been trained by a systematic teaching method with newly designed curriculum with the addition of computer-assisted technology. However, the learner’s face-to-face experience is relating them to advance self-learning of languages through AI machine, which lack the motivational mechanism. This review paper presents the recent advancement in the use of AI and MT in the teaching translations to translators. The aim of the study is to investigate the pedagogical implications of AI for teaching translation studies. The study concludes that there is lack of critical reflection of challenges and jeopardies of AI in translation teaching, there is a weak connection to academic instructive perceptions, and that there is a need for further exploration of principled and enlightening approaches in the application of AI in translation teaching in higher education.

The Composition of Digital Wushu Instruction Court

2011 ◽  
Vol 271-273 ◽  
pp. 423-427
Author(s):  
Dong Zhu
Keyword(s):  
Teaching Method ◽  
Learning Ability ◽  
Computer Assisted ◽  
Motion Analysis System ◽  
Teaching Activities ◽  
Alternative Teaching ◽  
Hardware System ◽  
Instruction Effect ◽  
Analysis System ◽  
Self Learning

Hard to learn and easy to forget are real problems in Wushu practice. Digital Wushu instruction court as the computer assisted technology increases alternative teaching method in Wushu teaching activities. Digital Wushu instruction court includes hardware system and software system. Hard ware is mainly composed by digital floor, digital periphery, digital terminal and communication platform. Software includes picture, video, music, text, motion analysis system and so on. The purpose of digital Wushu instruction court is to cultivate students’ interests to Wushu, increase Wushu instruction effect, and develop their self-learning ability.

Collection of Ego-Centered Network Data with Computer-Assisted Interviews

Methodology ◽  
2006 ◽  
Vol 2 (1) ◽  
pp. 7-15 ◽  
Author(s):  
Joachim Gerich ◽  
Roland Lehner
Keyword(s):  
Survey Methods ◽  
A Priori ◽  
Dynamic Structure ◽  
Computer Assisted ◽  
Network Data ◽  
Great Effort ◽  
Self Administration ◽  
Face To Face ◽  
Full Network

Although ego-centered network data provide information that is limited in various ways as compared with full network data, an ego-centered design can be used without the need for a priori and researcher-defined network borders. Moreover, ego-centered network data can be obtained with traditional survey methods. However, due to the dynamic structure of the questionnaires involved, a great effort is required on the part of either respondents (with self-administration) or interviewers (with face-to-face interviews). As an alternative, we will show the advantages of using CASI (computer-assisted self-administered interview) methods for the collection of ego-centered network data as applied in a study on the role of social networks in substance use among college students.

Recognition of teaching method effects based on grid model simplification and artificial intelligence

2020 ◽  
pp. 1-11
Author(s):  
Guo Yunfeng ◽  
Li Jing
Keyword(s):  
Artificial Intelligence ◽  
Teaching Method ◽  
Evaluation Model ◽  
Geometric Constraints ◽  
Sorting Algorithm ◽  
Grid Model ◽  
Model Based ◽  
Refinement Method ◽  
Method Effects ◽  
Structure Simplification

In order to improve the effect of the teaching method evaluation model, based on the grid model, this paper constructs an artificial intelligence model based on the grid model. Moreover, this paper proposes a hexahedral grid structure simplification method based on weighted sorting, which comprehensively sorts the elimination order of candidate base complexes in the grid with three sets of sorting items of width, deformation and price improvement. At the same time, for the elimination order of basic complex strings, this paper also proposes a corresponding priority sorting algorithm. In addition, this paper proposes a smoothing regularization method based on the local parameterization method of the improved SLIM algorithm, which uses the regularized unit as the reference unit in the local mapping in the SLIM algorithm. Furthermore, this paper proposes an adaptive refinement method that maintains the uniformity of the grid and reduces the surface error, which can better slow down the occurrence of geometric constraints caused by insufficient number of elements in the process of grid simplification. Finally, this paper designs experiments to study the performance of the model. The research results show that the model constructed in this paper is effective.

scholarly journals Building on Strategic eLearning Initiatives of Hybrid Graduate Education a Case Study Approach: MHEI-ME Erasmus+ Project

2021 ◽  
Vol 13 (14) ◽  
pp. 7675
Author(s):  
Radovan Madleňák ◽  
Stephen P. D’Alessandro ◽  
Agostino Marengo ◽  
Jenny Pange ◽  
György Iván Neszmélyi
Keyword(s):  
Collaborative Learning ◽  
Online Community ◽  
Flipped Classroom ◽  
Teaching Method ◽  
Teaching Methodology ◽  
Case Study Approach ◽  
Study Approach ◽  
Strategic Commitment ◽  
Self Learning

Online courses are gaining popularity because they provide extensive and varied course material, information, knowledge, and skills, whilst also creating an effective educational online community. This research adopts a case study approach to focus on the teaching method and the manner in which a strategic commitment to eLearning provides scope for the development and implementation of top quality educational online fully accredited programs. Entrepreneurship focuses on developing businesses that add value and create wealth and prosperity in our societies. Therefore, entrepreneurship is a key area of learning for graduate students seeking to set up and operate their own SME organizations. It can serve as a benchmark for the teaching of other graduate subjects that require a sound correlation for the correlation of concepts and theories to the challenging complexities of the real world. The program was developed on the basis of the implementation of a state-of-the-art eLearning platform that allowed for a combination of varied self-learning and collaborative learning elements and activities within a single platform. This enabled students to access the online content material efficiently and effectively. It allows for the development of a program based on the flipped classroom teaching methodology. The underlying concept of the flipped classroom methodology is that effective eLearning should comprise both synchronous and asynchronous learning activities. This combination of self-learning and collaborative learning calls for careful planning by the tutor to ensure that the learning objectives are clearly defined for each activity and that the relevant deliverables are monitored. The content material for each subject course module was designed, developed, produced, and presented by the different project partners in a holistic manner structured to motivate participants to learn. The results of our analysis have shown that students were able to learn, discuss their projects, and cooperate during an online course in an effective and participant-focused manner with their tutors. The feedback given highlights the importance of ongoing communications between students and the tutors who often need to act as mentors to retain student engagement.

scholarly journals Artificial Intelligence in Biomedicine: A Legal Insight

BioTech ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 15
Author(s):  
Takis Vidalis
Keyword(s):  
Artificial Intelligence ◽  
Personal Data ◽  
Health Data ◽  
The Self ◽  
Data Handling ◽  
Direct Control ◽  
Eu Legislation ◽  
Attending Physicians ◽  
Self Learning ◽  
The Eu

The involvement of artificial intelligence in biomedicine promises better support for decision-making both in conventional and research medical practice. Yet two important issues emerge in relation to personal data handling, and the influence of AI on patient/doctor relationships. The development of AI algorithms presupposes extensive processing of big data in biobanks, for which procedures of compliance with data protection need to be ensured. This article addresses this problem in the framework of the EU legislation (GDPR) and explains the legal prerequisites pertinent to various categories of health data. Furthermore, the self-learning systems of AI may affect the fulfillment of medical duties, particularly if the attending physicians rely on unsupervised applications operating beyond their direct control. The article argues that the patient informed consent prerequisite plays a key role here, not only in conventional medical acts but also in clinical research procedures.

Reinforcement Learning for Cloud Computing Digital Library

2014 ◽  
Vol 571-572 ◽  
pp. 105-108
Author(s):  
Lin Xu
Keyword(s):  
Artificial Intelligence ◽  
Cloud Computing ◽  
Reinforcement Learning ◽  
Digital Library ◽  
Learning Algorithms ◽  
Experimental Results ◽  
Current Status ◽  
Self Learning ◽  
New Framework

This paper proposes a new framework of combining reinforcement learning with cloud computing digital library. Unified self-learning algorithms, which includes reinforcement learning, artificial intelligence and etc, have led to many essential advances. Given the current status of highly-available models, analysts urgently desire the deployment of write-ahead logging. In this paper we examine how DNS can be applied to the investigation of superblocks, and introduce the reinforcement learning to improve the quality of current cloud computing digital library. The experimental results show that the method works more efficiency.

Computer-assisted learning in undergraduate psychiatry (CAL-PSYCH): evaluation of a pilot programme

2003 ◽  
Vol 20 (3) ◽  
pp. 84-87 ◽  
Author(s):  
Allys Guerandel ◽  
Kevin Malone ◽  
Patrick Felle
Keyword(s):  
Computer Assisted ◽  
Attendance Rates ◽  
Computer Assisted Learning ◽  
Face To Face ◽  
Life Long Learning ◽  
Learning Techniques ◽  
Feedback Questionnaire ◽  
E Learning ◽  
On Line ◽  
The University

AbstractObjectives: To introduce and evaluate a computer assisted learning programme in undergraduate psychiatry (CAL-PSYCH).Methods: An interactive e-learning environment was created within the University College Dublin portal to assist students in acquiring the necessary skills in undergraduate psychiatry. The pilot phase consisted of providing their lectures on-line on the interactive site. Data were gathered from the last group of students in 2001 (pre-CAL-PSYCH) and the first group of students using CAL-PSYCH in 2002. We included assessment of percentage of students accessing the site, attendance rates at face-to-face lectures and tutorials, and also a feedback questionnaire from students who accessed the site.Results: All responders had used CAL-PSYCH. Students gave higher ratings for quality and interactivity of lectures compared with the pre-CAL-PSYCH curriculum. Students also expressed enthusiasm about CAL-PSYCH and encouraged us to develop it further.Conclusions: Computer-assisted learning environments such as CAL-PSYCH provide the opportunity to bring modern e-learning techniques to medical education, and may provide a new model for life-long learning in medicine.

A Comprehensive Overview of AI-Enabled Music Classification and Its Influence in Games

2021 ◽  
Author(s):  
Tiancheng Yang ◽  
Shah Nazir
Keyword(s):  
Artificial Intelligence ◽  
Computer Assisted ◽  
Comprehensive Overview ◽  
Effective Learning ◽  
Music Classification ◽  
Interactive Tools ◽  
Visually Impaired People ◽  
Interactive Environment ◽  
Assisted Technologies

Abstract With the development and advancement of information technology, artificial intelligence (AI) and machine learning (ML) are applied in every sector of life. Among these applications, music is one of them which has gained attention in the last couple of years. The music industry is revolutionized with AIbased innovative and intelligent techniques. It is very convenient for composers to compose music of high quality using these technologies. Artificial intelligence and Music (AIM) is one of the emerging fields used to generate and manage sounds for different media like the Internet, games, etc. Sounds in the games are very effective and can be made more attractive by implementing AI approaches. The quality of sounds in the game directly impacts the productivity and experience of the player. With computer-assisted technologies, the game designers can create sounds for different scenarios or situations like horror and suspense and provide gamer information. The practical and productive audio of a game can guide visually impaired people during other events in the game. For the better creation and composition of music, good quality of knowledge about musicology is essential. Due to AIM, there are a lot of intelligent and interactive tools available for the efficiency and effective learning of music. The learners can be provided with a very reliable and interactive environment based on artificial intelligence. The current study has considered presenting a detailed overview of the literature available in the area of research. The study has demonstrated literature analysis from various perspectives, which will become evidence for researchers to devise novel solutions in the field.

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