The Effect of the Educational Robot on the Motor Reaction on Some Karate Skills

IF 1.2 4区计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS

Computer Science and Information Systems Pub Date : 2023-07-24 DOI:10.5539/cis.v16n3p7

Mohammed Ghazi

{"title":"The Effect of the Educational Robot on the Motor Reaction on Some Karate Skills","authors":"Mohammed Ghazi","doi":"10.5539/cis.v16n3p7","DOIUrl":null,"url":null,"abstract":"The effect of the educational robot on the motor reaction on some karate skills> have revolutionized various aspects of life, including education and training. Which integrate artificial intelligence with the emotional aspect of the learner. And the overall learning process. By incorporating artificial intelligence, these programs can provide personalized learning experiences and meet individual needs. To calculate the improvement ratio and the difference between the means, as well as the effect size ratio, we can use the following formulas: Average motor reaction time Difference between means= Average motor reaction time Average skill performance time Effect Size Ratio= Difference between means= Standard Deviation Let's calculate these values for each skill: -85.55 Difference between means= -46.42 Difference between means= -88.9 Difference between means= -83.7 Difference between means= 88 Difference between means= -49.762 Effect Size Ratio= Difference between means= Standard Deviation Using the provided standard deviation of 0.078, let's calculate the effect size ratio for each skill: Difference between means= -33.815 Effect Size Ratio= Difference between means= -41.438 Effect Size Ratio= Difference between means= -41.894 Effect Size Ratio= Difference between means= -39.737 Effect Size Ratio= Difference between means= -49.762 Effect Size Ratio= Negative values indicate a decrease in performance. Noting that the results are negative is not evidence of poor results, but to measure the reaction rate and response speed, I need a little time through the treatments, The difference between means is -33.815, The effect size ratio is -433. Indicating a large effect size. The difference between means is -41.438, The effect size ratio is -530. Indicating a large effect size. The difference between means is -41.894, The effect size ratio is -536. Indicating a large effect size. The difference between means is -39.737, The effect size ratio is -509. Indicating a large effect size. The difference between means is -49.762, The effect size ratio is -63.79, indicating a large effect size by incorporating these recommendations.","PeriodicalId":50636,"journal":{"name":"Computer Science and Information Systems","volume":"15 1","pages":""},"PeriodicalIF":1.2000,"publicationDate":"2023-07-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computer Science and Information Systems","FirstCategoryId":"94","ListUrlMain":"https://doi.org/10.5539/cis.v16n3p7","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}

引用次数: 0

Abstract

The effect of the educational robot on the motor reaction on some karate skills> have revolutionized various aspects of life, including education and training. Which integrate artificial intelligence with the emotional aspect of the learner. And the overall learning process. By incorporating artificial intelligence, these programs can provide personalized learning experiences and meet individual needs. To calculate the improvement ratio and the difference between the means, as well as the effect size ratio, we can use the following formulas: Average motor reaction time Difference between means= Average motor reaction time Average skill performance time Effect Size Ratio= Difference between means= Standard Deviation Let's calculate these values for each skill: -85.55 Difference between means= -46.42 Difference between means= -88.9 Difference between means= -83.7 Difference between means= 88 Difference between means= -49.762 Effect Size Ratio= Difference between means= Standard Deviation Using the provided standard deviation of 0.078, let's calculate the effect size ratio for each skill: Difference between means= -33.815 Effect Size Ratio= Difference between means= -41.438 Effect Size Ratio= Difference between means= -41.894 Effect Size Ratio= Difference between means= -39.737 Effect Size Ratio= Difference between means= -49.762 Effect Size Ratio= Negative values indicate a decrease in performance. Noting that the results are negative is not evidence of poor results, but to measure the reaction rate and response speed, I need a little time through the treatments, The difference between means is -33.815, The effect size ratio is -433. Indicating a large effect size. The difference between means is -41.438, The effect size ratio is -530. Indicating a large effect size. The difference between means is -41.894, The effect size ratio is -536. Indicating a large effect size. The difference between means is -39.737, The effect size ratio is -509. Indicating a large effect size. The difference between means is -49.762, The effect size ratio is -63.79, indicating a large effect size by incorporating these recommendations.

查看原文本刊更多论文

教育机器人对空手道部分技能运动反应的影响

教育机器人对一些空手道技能的运动反应的影响已经彻底改变了生活的各个方面，包括教育和训练。它将人工智能与学习者的情感结合在一起。以及整个学习过程。通过结合人工智能，这些程序可以提供个性化的学习体验，满足个人需求。为了计算改进比和均值之差，以及效应大小比，我们可以使用以下公式:平均运动反应时间均值之差=平均运动反应时间平均技能表现时间效应大小比=均值之差=标准差让我们计算每个技能的这些值:-85.55均值差= -46.42均值差= -88.9均值差= -83.7均值差= 88均值差= -49.762效应大小比=均值差=标准差利用提供的0.078标准差，我们计算每种技能的效应大小比:均值之差= -33.815效应大小比=均值之差= -41.438效应大小比=均值之差= -41.894效应大小比=均值之差= -39.737效应大小比=均值之差= -49.762效应大小比=负值表示表现下降。值得注意的是，结果为阴性并不是不良结果的证据，但要测量反应速率和反应速度，我需要一点时间通过处理，均值之差为-33.815，效应大小比为-433。表明有很大的效应量。均值之差为-41.438，效应大小比为-530。表明有很大的效应量。均值之差为-41.894，效应大小比为-536。表明有很大的效应量。均值之差为-39.737，效应大小比为-509。表明有很大的效应量。均值之差为-49.762，效应量比为-63.79，表明纳入这些建议后的效应量较大。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Computer Science and Information Systems COMPUTER SCIENCE, INFORMATION SYSTEMS-COMPUTER SCIENCE, SOFTWARE ENGINEERING

CiteScore

2.30

自引率

21.40%

发文量

审稿时长

7.5 months

期刊介绍： About the journal Home page Contact information Aims and scope Indexing information Editorial policies ComSIS consortium Journal boards Managing board For authors Information for contributors Paper submission Article submission through OJS Copyright transfer form Download section For readers Forthcoming articles Current issue Archive Subscription For reviewers View and review submissions News Journal''s Facebook page Call for special issue New issue notification Aims and scope Computer Science and Information Systems (ComSIS) is an international refereed journal, published in Serbia. The objective of ComSIS is to communicate important research and development results in the areas of computer science, software engineering, and information systems.