Advances in Mobile Learning Educational Research最新文献_第4页

The use of Kahoot in preschool mathematics education Kahoot在学前数学教育中的应用

Advances in Mobile Learning Educational Research Pub Date : 2023-02-20 DOI: 10.25082/amler.2023.01.014

Aikaterini Xezonaki

{"title":"The use of Kahoot in preschool mathematics education","authors":"Aikaterini Xezonaki","doi":"10.25082/amler.2023.01.014","DOIUrl":"https://doi.org/10.25082/amler.2023.01.014","url":null,"abstract":"During the preschool period children acquire basic mathematics skills during preschool, the foundation for their later formal mathematics education. One tool that could enhance students' mathematical skills at this age and which utilizes the elements of games in non-game settings. This study aimed to implement an intervention program to examine whether gamification affects the mathematical competencies of preschool-aged students. Thirty-one students aged 4 to 6 participated, of which 15 shaped the experimental group and 16 shaped the control group. During the intervention program, students in the experimental group were tutored through tablets and games designed in Kahoot! application and involved basic math exercises such as addition and subtraction, while the control group did the same exercises without tablets. The results of the student's performance in the experimental group showed that their performance in mathematics before and after the intervention differed significantly. Therefore, students' mathematical skills were improved through Kahoot-based learning games. It can be concluded that the application of Kahoot! Learning games can improve the mathematical learning outcomes of preschool students. Pedagogical and psychological research should be used more to improve the mathematical skills of preschoolers.","PeriodicalId":405558,"journal":{"name":"Advances in Mobile Learning Educational Research","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132496831","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Problem-Based Learning model in improving critical thinking ability of elementary school students 基于问题的学习模式在提高小学生批判性思维能力中的作用

Advances in Mobile Learning Educational Research Pub Date : 2023-02-13 DOI: 10.25082/amler.2023.01.013

S. Susilawati, T. Supriyatno

引用次数: 3

Using an augmented reality application for teaching plant parts: A case study in 1ˢᵗ-grade primary school students 使用增强现实应用程序进行植物部分教学:以1级小学生为例

Advances in Mobile Learning Educational Research Pub Date : 2023-02-01 DOI: 10.25082/amler.2023.01.012

G. Antoniadi

引用次数: 1

Data mining: Application of digital marketing in education 数据挖掘:数字营销在教育中的应用

Advances in Mobile Learning Educational Research Pub Date : 2023-01-30 DOI: 10.25082/amler.2023.01.011

Carlos Molina Huerta, Alan Sotelo Atahua, Jahir Villacrisis Guerrero, L. Andrade-Arenas

{"title":"Data mining: Application of digital marketing in education","authors":"Carlos Molina Huerta, Alan Sotelo Atahua, Jahir Villacrisis Guerrero, L. Andrade-Arenas","doi":"10.25082/amler.2023.01.011","DOIUrl":"https://doi.org/10.25082/amler.2023.01.011","url":null,"abstract":"The excessive cost of inadequate management of stored information resources by companies means a significant loss for them, causing them to invest more than they should in technology. To overcome and avoid more significant losses, companies must counteract this type of problem. The present work's aim is to apply good data mining through digital business marketing that will allow ordering and filtering of the relevant information in the databases through RapidMiner, to supply the companies' databases with only relevant information for the normal development of their functions. For this purpose, the Knowledge Discovery Databases (KDD) methodology will be used, which will allow us to filter and search for information patterns that are hidden in order to take advantage of the historical data of investment per student in the educational sector and to establish a more accurate and efficient data prediction. As a result, it was found that over the years, the expenditure per student increases regardless of the area in which it is located, that although not in all provinces same amount is allocated, it is observed that it maintains an upward trend concerning the expenditures made, concluding that the KDD methodology allowed us to graph and showed how the expenditure allocated to the education sector has varied in the different grades of education, providing relevant information that will be useful for future related studies.","PeriodicalId":405558,"journal":{"name":"Advances in Mobile Learning Educational Research","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126127032","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

The use of mobile learning applications in higher education institutes 在高等教育机构中使用移动学习应用程序

Advances in Mobile Learning Educational Research Pub Date : 2023-01-27 DOI: 10.25082/amler.2023.01.010

Tuychi Norbutayevich Jurayev

引用次数: 4

Designing educational material to teach Braille to adult educators through the method of distance learning 设计教育材料，通过远程学习的方法教授盲文给成人教育者

Advances in Mobile Learning Educational Research Pub Date : 2023-01-13 DOI: 10.25082/amler.2023.01.009

Evaggelia Skaraki

引用次数: 1

The effect of the whole language approach on learning motivation and productive communication skills of students 全语言教学法对学生学习动机和有效沟通技巧的影响

Advances in Mobile Learning Educational Research Pub Date : 2023-01-05 DOI: 10.25082/amler.2023.01.008

I. M. Sukmayasa, I. Sudiana

{"title":"The effect of the whole language approach on learning motivation and productive communication skills of students","authors":"I. M. Sukmayasa, I. Sudiana","doi":"10.25082/amler.2023.01.008","DOIUrl":"https://doi.org/10.25082/amler.2023.01.008","url":null,"abstract":"This study aimed to examine the effect of the whole language approach on learning motivation and productive communication skills of third-grade students of SD Lab Undiksha for the academic year 2022/2023, both individually and together. This research is quasi-experimental. The research design used was the posttest-only control-group design. The population, which is also the sample in this study, are all third-grade students of SD Lab Undiksha, totalling 48 students. The independent variable in this study is the whole language approach. At the same time, the dependent variable in this study is students' learning motivation and productive communication skills. Data collection methods used are questionnaires and tests. The data on students' learning motivation and productive communication skills that have been collected are tabulated with the mean and standard deviation. The statistical analysis used to test the hypothesis is MANOVA. Based on the research that has been done, it was found that: 1) there was a significant effect of the whole language approach on the learning motivation of Class III students of SD Lab Undiksha in the academic year 2022/2023 with an F count of 75,037 and a significance of 0,000; 2) there is a significant effect of the whole language approach on the productive communication skills of Class III students of SD Lab Undiksha for the academic year 2022/2023 with an F count of 84,668 and a significance of 0,000, and 3) there is a significant effect of the whole language approach on learning motivation and productive communication skills of third-grade students of SD Lab Undiksha in the academic year 2022/2023 simultaneously with an F count of 73.211 and a significance of 0.000.","PeriodicalId":405558,"journal":{"name":"Advances in Mobile Learning Educational Research","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129110375","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 2

Mobile application to improve the learning of secondary school students 手机应用提高中学生的学习能力

Advances in Mobile Learning Educational Research Pub Date : 2023-01-04 DOI: 10.25082/amler.2023.01.007

Estiven Mayhuay De La Cruz, Miguel Angel Trujillo Meza, L. Andrade-Arenas

引用次数: 3

The use of digital storytelling to improve students' writing skills 使用数字讲故事来提高学生的写作技巧

Advances in Mobile Learning Educational Research Pub Date : 2022-12-15 DOI: 10.25082/amler.2023.01.006

Robiatul Munajah, M. S. Sumantri, Y. Yufiarti

引用次数: 3

Analyzing and comparing the effectiveness of various machine learning algorithms for Android malware detection 分析比较各种机器学习算法在Android恶意软件检测中的有效性

Advances in Mobile Learning Educational Research Pub Date : 2022-12-14 DOI: 10.25082/amler.2023.01.005

M. Akhtar

{"title":"Analyzing and comparing the effectiveness of various machine learning algorithms for Android malware detection","authors":"M. Akhtar","doi":"10.25082/amler.2023.01.005","DOIUrl":"https://doi.org/10.25082/amler.2023.01.005","url":null,"abstract":"Android is the most extensively adopted mobile operating system in the world. The free third-party programmes that may be downloaded and installed contribute to this success by offering a wide range of features and functionalities. However, the freedom to utilize any third-party programme has spawned a never-ending tide of ever-evolving malicious software intending to harm the user in some way, shape, or form. In this work, we propose and show many methods for detecting malware on Android. An in-process detection system is built, including data analytics. It may use the detection system to look over your current app set and find any malicious software so you can remove it. Models based on machine learning allow for this to be accomplished. It has been investigated how well the models perform with two distinct feature sets: permissions and signatures. Initially, each dataset undergoes exploratory data analysis and feature engineering to narrow down the vast array of attributes. The next step is to determine if an application is malicious or safe using one of many supervised classification models derived from data mining. Different models' performance metrics are examined to find the method that provides the best outcomes for this malware detection task. Ultimately, it is seen that the signatures-based method is superior to the permissions-based. Classification methods such as k-nearest neighbours (kNN), logistic regression, support vector machines (SVM), and random forests (RF) are all equivalent in their efficacy.","PeriodicalId":405558,"journal":{"name":"Advances in Mobile Learning Educational Research","volume":"144 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128804234","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 1