Pub Date : 2020-07-01DOI: 10.4018/ijdet.2020070102
I. Liu
Fun games can generate a flow experience for players, and further increase their willingness to continue gameplay. However, an important issue that has long concerned educators and game developers is how to incorporate learning subjects into games and achieve the goal of learning through play. This study designed an English blockade-running game based on Greek and Roman mythology, and proposed a research model to predict future willingness of learners to use game-based learning with smartphones after flow experience. A total of 376 college students participated in this study. Data analysis revealed that the model achieved a good fit, and most hypotheses were supported. Finally, this study will further discuss and explain these phenomena in the educational setting, and also make suggestions for future development.
{"title":"The Study of Intention to Learn in Game-Based Learning With a Smartphone","authors":"I. Liu","doi":"10.4018/ijdet.2020070102","DOIUrl":"https://doi.org/10.4018/ijdet.2020070102","url":null,"abstract":"Fun games can generate a flow experience for players, and further increase their willingness to continue gameplay. However, an important issue that has long concerned educators and game developers is how to incorporate learning subjects into games and achieve the goal of learning through play. This study designed an English blockade-running game based on Greek and Roman mythology, and proposed a research model to predict future willingness of learners to use game-based learning with smartphones after flow experience. A total of 376 college students participated in this study. Data analysis revealed that the model achieved a good fit, and most hypotheses were supported. Finally, this study will further discuss and explain these phenomena in the educational setting, and also make suggestions for future development.","PeriodicalId":298910,"journal":{"name":"Int. J. Distance Educ. Technol.","volume":"62 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":"124760630","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}
Pub Date : 2020-07-01DOI: 10.4018/ijdet.2020070104
Wing-Kwong Wong, Kai-Ping Chen, Jia-Wei Lin
The results of PISA 2015 indicate that Taiwanese students have excellent mathematical and scientific knowledge but are weak in applying such knowledge and in conducting practical experiments in the laboratory. To support students conducting practical experiments in physics laboratories, a real-time data logging system and an online tool for fitting experimental data were developed. During data logging in an experiment, the data was immediately plotted, which enabled students to observe the characteristics of the plot. The online curve fitting system, which employed Internet of Things technologies, allowed students to fit experimental data to various mathematical functions and plot a function curve superimposed on the data. Two empirical studies were conducted involving first-year university students and secondary school teachers. The results indicated that these developed tools improved students' understanding of an experiment's mathematical characteristics. The average curve fitting error rates of students and teachers were 4.62% and 1.4%, respectively.
{"title":"Real-Time Data Logging and Online Curve Fitting Using Raspberry Pi in Physics Laboratories","authors":"Wing-Kwong Wong, Kai-Ping Chen, Jia-Wei Lin","doi":"10.4018/ijdet.2020070104","DOIUrl":"https://doi.org/10.4018/ijdet.2020070104","url":null,"abstract":"The results of PISA 2015 indicate that Taiwanese students have excellent mathematical and scientific knowledge but are weak in applying such knowledge and in conducting practical experiments in the laboratory. To support students conducting practical experiments in physics laboratories, a real-time data logging system and an online tool for fitting experimental data were developed. During data logging in an experiment, the data was immediately plotted, which enabled students to observe the characteristics of the plot. The online curve fitting system, which employed Internet of Things technologies, allowed students to fit experimental data to various mathematical functions and plot a function curve superimposed on the data. Two empirical studies were conducted involving first-year university students and secondary school teachers. The results indicated that these developed tools improved students' understanding of an experiment's mathematical characteristics. The average curve fitting error rates of students and teachers were 4.62% and 1.4%, respectively.","PeriodicalId":298910,"journal":{"name":"Int. J. Distance Educ. Technol.","volume":"14 38 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":"115843348","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}
Pub Date : 2020-07-01DOI: 10.4018/ijdet.2020070105
M. N. Hasnine, H. Ogata, Gökhan Akçapınar, Kousuke Mouri, K. Kaneko
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.
{"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}
Pub Date : 2020-04-01DOI: 10.4018/ijdet.2020040102
C. Siebra, Ramon Nóbrega dos Santos, N. Lino
This work proposes a dropout prediction approach that is able to self-adjust their outcomes at any moment of a degree program timeline. To that end, a rule-based classification technique was used to identify courses, grade thresholds and other attributes that have a high influence on the dropout behavior. This approach, which is generic so that it can be applied to any distance learning degree program, returns different rules that indicate how the predictions are adjusted along with academic terms. Experiments were carried out using four rule-based classification algorithms: JRip, OneR, PART and Ridor. The outcomes show that this approach presents better accuracy according to the progress of students, mainly when the JRip and PART algorithms are used. Furthermore, the use of this method enabled the generation of rules that stress the factors that mainly affect the dropout phenomenon at different degree moments.
{"title":"A Self-Adjusting Approach for Temporal Dropout Prediction of E-Learning Students","authors":"C. Siebra, Ramon Nóbrega dos Santos, N. Lino","doi":"10.4018/ijdet.2020040102","DOIUrl":"https://doi.org/10.4018/ijdet.2020040102","url":null,"abstract":"This work proposes a dropout prediction approach that is able to self-adjust their outcomes at any moment of a degree program timeline. To that end, a rule-based classification technique was used to identify courses, grade thresholds and other attributes that have a high influence on the dropout behavior. This approach, which is generic so that it can be applied to any distance learning degree program, returns different rules that indicate how the predictions are adjusted along with academic terms. Experiments were carried out using four rule-based classification algorithms: JRip, OneR, PART and Ridor. The outcomes show that this approach presents better accuracy according to the progress of students, mainly when the JRip and PART algorithms are used. Furthermore, the use of this method enabled the generation of rules that stress the factors that mainly affect the dropout phenomenon at different degree moments.","PeriodicalId":298910,"journal":{"name":"Int. J. Distance Educ. Technol.","volume":"33 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":"121577803","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}
Pub Date : 2020-04-01DOI: 10.4018/ijdet.2020040101
M. Y. Rafiq, Mueen-ud-Din Azad, Aamer Rafique, Lu Chang
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.
{"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}
Pub Date : 2020-04-01DOI: 10.4018/ijdet.2020040104
P. Kushwaha, Renuka Mahajan, Rekha Attri, Richa Misra
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.
{"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}
Pub Date : 2020-04-01DOI: 10.4018/ijdet.2020040103
Jyoti Chauhan, A. Goel
The aim of this article is to get insight into the features of social networking and collaboration in a massive open online course (MOOC) platform. We performed a feature-based analysis of twelve popular MOOC platforms – seven proprietary and five open-source platforms. Our study reveals that there are: (1) Two ways to include social networking – in-course and external; and (2) Two ways to incorporate collaboration functionality – built-in tools and third-party tools. The functionality provided by third-party tools differs; so, the selection of the tool is a challenge. For a built-in tool of MOOC, there is a need to re-identify the features for including it in any other MOOC platform; (3) Different ways to integrate the same tool in platforms; and (4) Different features of the same tool supported by various platforms. The proposed feature list helps future MOOC providers and developers to include social networking and collaboration functionality by selection, in contrast to specifying them afresh; and prospective educators can compare and select platforms, accordingly.
{"title":"Feature-Based Analysis of Social Networking and Collaboration in MOOC","authors":"Jyoti Chauhan, A. Goel","doi":"10.4018/ijdet.2020040103","DOIUrl":"https://doi.org/10.4018/ijdet.2020040103","url":null,"abstract":"The aim of this article is to get insight into the features of social networking and collaboration in a massive open online course (MOOC) platform. We performed a feature-based analysis of twelve popular MOOC platforms – seven proprietary and five open-source platforms. Our study reveals that there are: (1) Two ways to include social networking – in-course and external; and (2) Two ways to incorporate collaboration functionality – built-in tools and third-party tools. The functionality provided by third-party tools differs; so, the selection of the tool is a challenge. For a built-in tool of MOOC, there is a need to re-identify the features for including it in any other MOOC platform; (3) Different ways to integrate the same tool in platforms; and (4) Different features of the same tool supported by various platforms. The proposed feature list helps future MOOC providers and developers to include social networking and collaboration functionality by selection, in contrast to specifying them afresh; and prospective educators can compare and select platforms, accordingly.","PeriodicalId":298910,"journal":{"name":"Int. J. Distance Educ. Technol.","volume":"18 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":"129244612","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}
There has been an ongoing debate of which physical labs or virtual labs are better. To resolve this issue, a remote lab provides an online lab that can do real experiments to obtain real data from a distant physical lab. Instead of relying on a remote lab, this article suggests that students collect experimental data locally with low-cost data loggers and then model the data with a web tool that provides scaffold support like a remote lab or virtual lab. In this study, 32 tenth-grade students ran physics labs and collected data with NXT, smartphones, and digital video recorder. This study investigates how a web tool assists in data visualization, hypothesis generation, hypothesis testing, and regulation of the discovery process. Results indicated the students became more sensitive in applying strategies of parameter tuning and backtracking. Questionnaire responses indicated the students found such physical labs to be satisfying.
{"title":"Online Scaffolding for Data Modeling in Low-Cost Physical Labs","authors":"Wing-Kwong Wong, Tsung-Kai Chao, Ching-Lung Chang, Kai-Ping Chen","doi":"10.4018/IJDET.2019100101","DOIUrl":"https://doi.org/10.4018/IJDET.2019100101","url":null,"abstract":"There has been an ongoing debate of which physical labs or virtual labs are better. To resolve this issue, a remote lab provides an online lab that can do real experiments to obtain real data from a distant physical lab. Instead of relying on a remote lab, this article suggests that students collect experimental data locally with low-cost data loggers and then model the data with a web tool that provides scaffold support like a remote lab or virtual lab. In this study, 32 tenth-grade students ran physics labs and collected data with NXT, smartphones, and digital video recorder. This study investigates how a web tool assists in data visualization, hypothesis generation, hypothesis testing, and regulation of the discovery process. Results indicated the students became more sensitive in applying strategies of parameter tuning and backtracking. Questionnaire responses indicated the students found such physical labs to be satisfying.","PeriodicalId":298910,"journal":{"name":"Int. J. Distance Educ. Technol.","volume":"12 3","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131750975","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}
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