M. Johan, Samuel Ady Sanjaya, Andreas Yogi Brata, Andrew Brillyant
{"title":"Gamification to Study Machine Learning using Octalysis Framework","authors":"M. Johan, Samuel Ady Sanjaya, Andreas Yogi Brata, Andrew Brillyant","doi":"10.31937/ti.v15i1.3118","DOIUrl":null,"url":null,"abstract":"Machine learning is an area of study that enables computers to learn and improve their performance without explicit programming. Its primary application is assisting humans in processing vast amounts of data. Machine learning is a crucial area of study, and to assist students in learning about it, a gamification application has been developed using the Android platform. The aim of this research is to not only provide knowledge to students but also make the application interesting by using the octalysis framework. The application's level of acceptance will be tested on students at Multimedia Nusantara University who are taking machine learning courses. The Unified Theory of Acceptance and Use of Technology Model (UTAUT) method will be used to evaluate the application, which received an average score of 86.77%. This score indicates that students strongly agreed that the gamification approach using the octalysis framework and Android platform for machine learning was well-received.","PeriodicalId":347196,"journal":{"name":"Ultimatics : Jurnal Teknik Informatika","volume":"216 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Ultimatics : Jurnal Teknik Informatika","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.31937/ti.v15i1.3118","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Machine learning is an area of study that enables computers to learn and improve their performance without explicit programming. Its primary application is assisting humans in processing vast amounts of data. Machine learning is a crucial area of study, and to assist students in learning about it, a gamification application has been developed using the Android platform. The aim of this research is to not only provide knowledge to students but also make the application interesting by using the octalysis framework. The application's level of acceptance will be tested on students at Multimedia Nusantara University who are taking machine learning courses. The Unified Theory of Acceptance and Use of Technology Model (UTAUT) method will be used to evaluate the application, which received an average score of 86.77%. This score indicates that students strongly agreed that the gamification approach using the octalysis framework and Android platform for machine learning was well-received.
机器学习是一个研究领域,它使计算机能够在没有显式编程的情况下学习和提高其性能。它的主要应用是帮助人类处理大量数据。机器学习是一个至关重要的研究领域,为了帮助学生学习机器学习,我们使用Android平台开发了一个游戏化应用程序。本研究的目的是通过使用八元分析框架,不仅为学生提供知识,而且使应用变得有趣。申请的接受程度将在多媒体努沙塔拉大学(Multimedia Nusantara University)学习机器学习课程的学生身上进行测试。采用UTAUT (Unified Theory of Acceptance and Use of Technology Model)方法对申请进行评估,平均得分为86.77%。这个分数表明,学生们强烈同意使用octalysis框架和Android平台进行机器学习的游戏化方法是受欢迎的。