scholarly journals Researches of college sports technology teaching evaluation methods

2012 ◽  
Author(s):  
Kaiqiang Guo ◽  
Juan Pu
Keyword(s):  
Evaluation Methods ◽  
Teaching Evaluation ◽  
College Sports ◽  
Technology Teaching

Fuzzy comprehensive evaluation of classroom teaching quality of college teachers

2020 ◽  
pp. 002072092092854
Author(s):  
Feixiong Ma ◽  
Zichuan Zhu ◽  
Mi Zhou ◽  
Wen-Tsao Pan
Keyword(s):  
Evaluation System ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Teaching Quality ◽  
Evaluation Methods ◽  
Teaching Evaluation ◽  
Qualitative Assessment ◽  
Classroom Teaching ◽  
Fuzzy Evaluation

At present, some classroom teaching evaluation methods are actually difficult to reasonably and fairly evaluate teachers’ true teaching level and classroom teaching quality. There are many shortcomings and drawbacks. In order to overcome the shortcomings of traditional teaching evaluation and enhance the evaluation effect, this paper combines the current advanced management methods with the merits of traditional evaluation methods, and applies the fuzzy evaluation method to combine qualitative assessment and quantitative assessment. First of all, establish a scientific and reasonable classroom teaching quality assessment index system, determine the standard assessment criteria, and then select and use the fuzzy comprehensive evaluation model to evaluate the classroom teaching quality, thus establishing a complete and effective teaching quality evaluation system.

scholarly journals An Analysis of the Effectiveness of Machine Learning Theory in the Evaluation of Education and Teaching

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Bo Wu ◽  
Changlong Zheng
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Learning Theory ◽  
Teaching Quality ◽  
Evaluation Methods ◽  
Colleges And Universities ◽  
Teaching Evaluation ◽  
Learning Ability ◽  
Paper Machine ◽  
Human Beings

Artificial intelligence was first proposed in the 1950s, when it was only a forward-looking concept. If machines can have the same learning ability as human beings and the computing power of computers themselves, this concept has been placed high hopes. Until about 2010, with the explosion of data volume and the improvement of computer performance, machine learning has become a leader in breaking through the bottleneck of artificial intelligence. Research on machine learning in education and teaching has attracted much attention. From the above research status, we can see that in the current period of the vigorous development of machine learning, many applications are still not perfect and ordinary education and teaching evaluation is difficult to meet people’s requirements, so how to gradually improve its effectiveness is a significant goal with research significance and practical interests. However, in the environment of colleges and universities, prediction information and evaluation methods have important application value and development space in education and teaching. In this context, according to the theory of machine science, the effectiveness of several conventional prediction and evaluation methods is analyzed. In this paper, machine learning theory is used to study college students’ performance prediction and credit evaluation, as well as teaching quality evaluation and comprehensive ability evaluation in colleges and universities. Questionnaire survey is used to investigate and analyze the results. The effectiveness of machine theory in teaching is analyzed. It is found that machine learning has great advantages in education and teaching evaluation. It builds models in complex computing environment and is not affected by human factors; the effectiveness of prediction and evaluation is significant.

A method for teaching evaluation of scientific articles in the dental literature

1972 ◽  
Vol 36 (11) ◽  
pp. 48-52 ◽  
Author(s):  
RS Kaslick ◽  
A Van Stewart ◽  
AI Chasens
Keyword(s):  
Teaching Evaluation

Toddlers and Technology: Teaching the Techniques

ASHA Leader ◽  
2011 ◽  
Vol 16 (11) ◽  
Author(s):  
Lisa Luna DeCurtis ◽  
Dawn Ferrer
Keyword(s):  
Technology Teaching

Toward improved models of college teaching evaluation: Instructor, student, and organizational influences

1972 ◽  
Author(s):  
Daniel N. Braunstein ◽  
Ralph Schillace ◽  
John Feldhusen ◽  
Ernest McDaniel ◽  
Frederic W. Widlak ◽  
...  
Keyword(s):  
College Teaching ◽  
Teaching Evaluation ◽  
Organizational Influences

SenCity – Evaluating Users’ Experiences of Intelligent Lighting for Well-Being in Smart Cities

2018 ◽  
pp. 60-67
Author(s):  
Henrika Pihlajaniemi ◽  
Anna Luusua ◽  
Eveliina Juntunen
Keyword(s):  
Case Studies ◽  
Smart City ◽  
Smart Cities ◽  
Well Being ◽  
Evaluation Methods ◽  
Data Analyses ◽  
Sense Of Security ◽  
System Data

This paper presents the evaluation of usersХ experiences in three intelligent lighting pilots in Finland. Two of the case studies are related to the use of intelligent lighting in different kinds of traffic areas, having emphasis on aspects of visibility, traffic and movement safety, and sense of security. The last case study presents a more complex view to the experience of intelligent lighting in smart city contexts. The evaluation methods, tailored to each pilot context, include questionnaires, an urban dashboard, in-situ interviews and observations, evaluation probes, and system data analyses. The applicability of the selected and tested methods is discussed reflecting the process and achieved results.

Study of Reactance Evaluation Methods in Saturated Magnetic Field for Permanent Magnet Synchronous Motor

2006 ◽  
Vol 126 (12) ◽  
pp. 1722-1729 ◽  
Author(s):  
Akeshi Takahashi ◽  
Haruo Koharagi ◽  
Satoshi Kikuchi ◽  
Kazumasa Ide ◽  
Kazuo Shima
Keyword(s):  
Magnetic Field ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Evaluation Methods
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