Int. J. Distance Educ. Technol.最新文献_第5页

The Study of Intention to Learn in Game-Based Learning With a Smartphone 基于智能手机的游戏学习意向研究

Int. J. Distance Educ. Technol. Pub Date : 2020-07-01 DOI: 10.4018/ijdet.2020070102

I. Liu

引用次数: 1

Real-Time Data Logging and Online Curve Fitting Using Raspberry Pi in Physics Laboratories 树莓派在物理实验室中的实时数据记录和在线曲线拟合

Int. J. Distance Educ. Technol. Pub Date : 2020-07-01 DOI: 10.4018/ijdet.2020070104

Wing-Kwong Wong, Kai-Ping Chen, Jia-Wei Lin

引用次数: 1

Closing the Experiential Learning Loops Using Learning Analytics Cycle: Towards Authentic Experience Sharing for Vocabulary Learning 使用学习分析周期关闭体验式学习循环:走向词汇学习的真实经验分享

Int. J. Distance Educ. Technol. Pub Date : 2020-07-01 DOI: 10.4018/ijdet.2020070105

M. N. Hasnine, H. Ogata, Gökhan Akçapınar, Kousuke Mouri, K. Kaneko

{"title":"Closing the Experiential Learning Loops Using Learning Analytics Cycle: Towards Authentic Experience Sharing for Vocabulary Learning","authors":"M. N. Hasnine, H. Ogata, Gökhan Akçapınar, Kousuke Mouri, K. Kaneko","doi":"10.4018/ijdet.2020070105","DOIUrl":"https://doi.org/10.4018/ijdet.2020070105","url":null,"abstract":"In ubiquitous learning, authentic experiences are captured and later reused as those are rich resources for foreign vocabulary development. This article presents an experiential theory-oriented approach to the design of learning analytics support for sharing and reusing authentic experiences. In this regard, first, a conceptual framework to support vocabulary learning using learners' authentic experiences is proposed. Next, learning experiences are captured using a context-aware ubiquitous learning system. Finally, grounded in the theoretical framework, the development of a web-based tool called learn from others (LFO) panel is presented. The LFO panel analyzes various learning logs (authentic, partially-authentic, and words) using the profiling method while determining the top-five learning partners inside a seamless learning analytics platform. This article contributes to the research in the area of theory-oriented design of learning analytics for vocabulary learning through authentic activities and focuses on closing the loops of experiential learning using learning analytics cycles.","PeriodicalId":298910,"journal":{"name":"Int. J. Distance Educ. Technol.","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114513131","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: 7

A Self-Adjusting Approach for Temporal Dropout Prediction of E-Learning Students E-Learning学生时间辍学预测的自调整方法

Int. J. Distance Educ. Technol. Pub Date : 2020-04-01 DOI: 10.4018/ijdet.2020040102

C. Siebra, Ramon Nóbrega dos Santos, N. Lino

引用次数: 4

Discovering Learners Behaviour Patterns From Log Files Using LSA 使用LSA从日志文件中发现学习者的行为模式

Int. J. Distance Educ. Technol. Pub Date : 2020-04-01 DOI: 10.4018/ijdet.2020040106

Iness Nedji Milat, H. Seridi-Bouchelaghem, A. Moudjari

{"title":"Discovering Learners Behaviour Patterns From Log Files Using LSA","authors":"Iness Nedji Milat, H. Seridi-Bouchelaghem, A. Moudjari","doi":"10.4018/ijdet.2020040106","DOIUrl":"https://doi.org/10.4018/ijdet.2020040106","url":null,"abstract":"Recently,discoveringlearnerbehaviourhastakenmoreattentioninthefieldofe-learning.Itaims togainusefulinsightsintothelearningprocessofstudentsdespitetheabsenceofdirectinteraction withteachers.Infact,theonlyavailablesourceofinformationinsuchenvironmentsisthelogfilethat representsallpossibleinteractionsoflearnerswiththee-learningsystem.Thislogfileischaracterised bythepresenceofnoise,incompleteinformation,andahugeamountofdata.Inthisarticle,anew approachbasedonlearnertrailsanalysisfromthelogfileisproposed.Itaimstodiscoverthepatterns oftherealbehaviouroflearnersandtodeterminetheirpedagogicorientations.Thelatentsemantic analysis(LSA)methodisusedtoextracttherelationshipbetweenlearnerswhohavethesamebehaviour andtoovercomethenoiseproblem.Theproposedapproachhasbeenvalidatedusingsyntheticand genuinelogfiles.Theobtainedresultsshowtheefficiencyoftheproposedmethodofdiscovering thebehavioursoflearners. KEywoRDS EDM, Learner Action, Learner Behaviour Pattern, Log File, LSA, Pedagogic Orientation, Trails Analysis","PeriodicalId":298910,"journal":{"name":"Int. J. Distance Educ. Technol.","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125499429","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

Development of a Model for Retention of MS/MPhil Students at Virtual University (VU) of Pakistan 巴基斯坦虚拟大学(VU)硕士/硕士学生留用模式的发展

Int. J. Distance Educ. Technol. Pub Date : 2020-04-01 DOI: 10.4018/ijdet.2020040101

M. Y. Rafiq, Mueen-ud-Din Azad, Aamer Rafique, Lu Chang

{"title":"Development of a Model for Retention of MS/MPhil Students at Virtual University (VU) of Pakistan","authors":"M. Y. Rafiq, Mueen-ud-Din Azad, Aamer Rafique, Lu Chang","doi":"10.4018/ijdet.2020040101","DOIUrl":"https://doi.org/10.4018/ijdet.2020040101","url":null,"abstract":"Due to the of use of ICTs and ODL, Virtual University (VU) has become one of leading distance learning university in Pakistan. However, the retention rate among online learners found considerably low. The primary objective of this research was to dig out determinants of retention of MS /MPhil students at VU and modeling their retention by considering important influences. For sampling purpose, three departments with the most students were considered and complete enumeration was done. There were 4,608 students from three departments; Computer Science & Technology, Management Sciences and Education have been included in this study. To dig out the important retention factors, this research has used a Chi-Square test, optimal scaling, a decision tree using CHAID analysis, and then developed a suitable model for student retention. Binary logistic regression techniques were applied. Results have revealed that gender, scholarship, province, location, and division are significant factors and contributing in predicting students' retention at VU. Detailed outputs are shown in respective tables and figures. At the end, different recommendations and suggestions are proposed.","PeriodicalId":298910,"journal":{"name":"Int. J. Distance Educ. Technol.","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134151449","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

Study of Attitude of B-School Faculty for Learning Management System Implementation an Indian Case Study 商学院教师对学习管理系统实施的态度研究——以印度为例

Int. J. Distance Educ. Technol. Pub Date : 2020-04-01 DOI: 10.4018/ijdet.2020040104

P. Kushwaha, Renuka Mahajan, Rekha Attri, Richa Misra

{"title":"Study of Attitude of B-School Faculty for Learning Management System Implementation an Indian Case Study","authors":"P. Kushwaha, Renuka Mahajan, Rekha Attri, Richa Misra","doi":"10.4018/ijdet.2020040104","DOIUrl":"https://doi.org/10.4018/ijdet.2020040104","url":null,"abstract":"Learning management systems have transformed the information delivery mechanism. The present study derives dimensions from technology acceptance model and assesses the association between the faculty's satisfaction, perceived usefulness (PU) and perceived ease of use (PEOU) in a Moodle-based learning management system. The data collection was done using a questionnaire from one hundred and ninety-nine faculty of B-Schools, using Moodle as the LMS. The findings indicate that both ease of use and perceived usefulness are significant predictors of faculty satisfaction from MOODLE LMS. In addition to the aforementioned TAM constructs, the study has measured moderating impact of demographic variables like city, gender and age. These variables are important differentiators in the Indian context, as LMS is a relatively new adoption in Indian education industry. The study reports that although age is a differentiator between two defined groups, it is however not significantly moderating the relationship between PEOU and satisfaction with Moodle. Gender and type of city (metro versus non-metro cities) have significantly moderated the relationship between PEOU and the satisfaction with Moodle. The study also labels constraints in terms of LMS usage and give suggestions towards its effective use. Henceforth, any similar system must incorporate these constructs to improve the satisfaction and adoption of the LMS by instructors.","PeriodicalId":298910,"journal":{"name":"Int. J. Distance Educ. Technol.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122594116","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: 3

Student Clustering Based on Learning Behavior Data in the Intelligent Tutoring System 智能辅导系统中基于学习行为数据的学生聚类

Int. J. Distance Educ. Technol. Pub Date : 2020-04-01 DOI: 10.4018/ijdet.2020040105

Ines Šarić-Grgić, Ani Grubišić, Ljiljana Šerić, T. Robinson

{"title":"Student Clustering Based on Learning Behavior Data in the Intelligent Tutoring System","authors":"Ines Šarić-Grgić, Ani Grubišić, Ljiljana Šerić, T. Robinson","doi":"10.4018/ijdet.2020040105","DOIUrl":"https://doi.org/10.4018/ijdet.2020040105","url":null,"abstract":"The idea of clustering students according to their online learning behavior has the potential of providingmoreadaptivescaffoldingbytheintelligenttutoringsystemitselforbyahumanteacher. WiththeaimofidentifyingstudentgroupswhowouldbenefitfromthesameinterventioninACwareTutor, this researchexaminedonline learningbehaviorusing8 trackingvariables: the total numberofcontentpagesseeninthelearningprocess;thetotalnumberofconcepts;thetotalonline score;thetotaltimespentonline;thetotalnumberoflogins;thestereotypeaftertheinitialtest,the finalstereotype,andthemeanstereotypevariability.Thepreviousmeasureswereusedinafour-step analysisthatconsistedofdatapreprocessing,dimensionalityreduction,theclustering,andtheanalysis ofaposttestperformanceonacontentproficiencyexam.Theresultswerealsousedtoconstructthe decisiontreeinordertogetahuman-readabledescriptionofstudentclusters. KEywoRDS Blended Learning, Clustering, Decision Tree, Educational Data Mining, Flipped Classroom, Intelligent Tutoring System, Online Learning Behavior, Principal Component Analysis","PeriodicalId":298910,"journal":{"name":"Int. J. Distance Educ. Technol.","volume":"28 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114276481","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: 11

Feature-Based Analysis of Social Networking and Collaboration in MOOC 基于特征的MOOC社交网络与协作分析

Int. J. Distance Educ. Technol. Pub Date : 2020-04-01 DOI: 10.4018/ijdet.2020040103

Jyoti Chauhan, A. Goel

引用次数: 3

Online Scaffolding for Data Modeling in Low-Cost Physical Labs 低成本物理实验室中数据建模的在线脚手架

Int. J. Distance Educ. Technol. Pub Date : 2019-10-01 DOI: 10.4018/IJDET.2019100101

Wing-Kwong Wong, Tsung-Kai Chao, Ching-Lung Chang, Kai-Ping Chen

引用次数: 0