LO40: Designing for the future: machine learning software in the age of competency-based medical education

Chan, Teresa M.; Patel, Raj; Ariaeinejad, Ali; Samavi, Reza

doi:10.1017/cem.2017.102

Cited by 2 publications

(4 citation statements)

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“…26,27 Chan et al proposed a machine learning software in the age of competency-based medical education. 26 Besides, Owen et al used machine learning in teaching medical students. 27 A practical and efficient multi-assessment system…”

Section: R E T R a C T E Dmentioning

confidence: 99%

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RETRACTED: A practical and efficient multi-assessment system for vocational teaching based on machine learning

Xiao

2020

International Journal of Electrical Engineering & Education

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Higher vocational education is a self-consistent system for higher education appropriate to the development of productivity and economy in the world. It aims at training skilled talents, which has made great contribution to the economy and industry. Generally, designing courses in high vocational education includes teaching analysis, teaching strategy, teaching practice and teaching assessment. Among the teaching steps, teaching assessment is one of the most important method to improve the quality of course teaching. However, in most high vocational education courses, traditional written exam is still the primary tools of assessments, which can not fulfill the development of high vocational education. In order to improve the quality of high vocational education, it is very urgent to design a practical and efficient system with multiple assessments. We exploit machine learning techniques to design assessment system for high vocation education. Machine learning is a very powerful tool for data analysis and it has been used for education tools in recent years. First, we improve the teaching organization for training skilled talents. Second, we propose a feature selection model based on the improved teaching organization. Third, we propose a machine learning model for teaching assessment. With the main contributions and other improvements, we design a multi-assessment system for vocational teaching based on machine learning. We implement the multi-assessment system by using Python and TensorFlow, which shows that the system can provide practical and efficient multiple assessments for vocational teaching based on training machine learning model. Compared with other assessment methods, machine learning based multi-assessment is more intelligent and automatic. Besides, it can be extended to other fields of education with slight modifications.

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Section: R E T R a C T E Dmentioning

confidence: 99%

“…[20][21][22][23][24][25] It has been used in one of the education area, i.e., medical education. 26,27 We exploit machine learning techniques to design assessment system for high vocation education. First, we improve the teaching organization for training skilled talents.…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: A practical and efficient multi-assessment system for vocational teaching based on machine learning

Xiao

2020

International Journal of Electrical Engineering & Education

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“…The existing schemes for the employment of artificial intelligence in education are as follows. Chan et al [8] proposed a machine learning software in the age of competency‐based medical education. El‐Alfy and Abdel‐Aal [13] proposed a method to construct educational tests using abduction machine learning.…”

Section: Preliminariesmentioning

confidence: 99%

“…With the aid of artificial intelligence, education has become more and more advanced [1,4,8,18,30]. By using the artificial intelligence techniques, teachers can analyze the teaching process automatically.…”

Section: Preliminariesmentioning

confidence: 99%

Building an efficient artificial intelligence model for personalized training in colleges and universities

Xiao

2020

Comp Applic In Engineering

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Higher education provides a common educational pattern to all students in colleges and universities. However, under the general law of higher education, the teaching and education of a certain category or subject has its special regularity. Besides, students in colleges and universities have different demands of education. To address the challenges in higher education, it is very important to carry out higher education reform in colleges and universities. Personalized education has been considered to be a new educational model that is a result of the individual desire of students and the development of society. Traditional methodologies of teaching in colleges and universities cannot fulfill the implementation of personalized training. Hence, it is very urgent to develop new methodologies for personalized training. Among the methodologies of realization of personalized training, artificial intelligence is one of the most important methodologies. We exploit artificial intelligence for personalize education reform. First, we analyze the information of students before entering the colleges and universities. Then, we propose a method to extract modeling features of the student information. Second, we propose a method to build a personalized training model based on artificial intelligence. Third, we propose a method to predict the development track of students based on the personalized training model. On the basis of above designs, we design personalized training for students in colleges and universities. Furthermore, we implement our design by using artificial intelligence. Besides, our design can be applied to the career planning or related areas.

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LO40: Designing for the future: machine learning software in the age of competency-based medical education

Cited by 2 publications

References 0 publications

RETRACTED: A practical and efficient multi-assessment system for vocational teaching based on machine learning

RETRACTED: A practical and efficient multi-assessment system for vocational teaching based on machine learning

Building an efficient artificial intelligence model for personalized training in colleges and universities

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