Pub Date : 2023-07-07DOI: 10.3991/ijet.v18i13.39857
Duc Thuan Pham, Thi Hong Nhung Nguyen
The disruptions caused by the COVID-19 pandemic stimulated the utility of the technological tools for online language learning at the tertiary level in Vietnam. Many universities chose Google digital tools as a technological solution for online instruction. However, there is still a scarcity of studies on university students’ perceptions of using Google tools in the context of online English learning. This study aims to explore university students’ perceptions of the efficacy of using Google tools (namely, Google Classroom, Google Forms, Google Meet, and Google Sites) as a combined technological solution for online English learning in the last phase of the pandemic at a university in northern Vietnam. The research was carried out in the academic year 2021–2022, with 128 non-English majors taking General English courses online. A Likert-scale questionnaire created by Google Forms was distributed to gather feedback from the students, and semi-structured interviews were conducted with eleven students to gain more in-depth data. The results overall demonstrated that the students favorably perceived the applied Google tools as effective tools to support online English learning. It was also found that females had higher perceptions than males regarding the ease of the tools. Furthermore, first-year students agreed more than second-year students on the effectiveness of the tools in increasing engagement in learning.
{"title":"University Students’ Perceptions of Google Tools in Learning English Courses Online","authors":"Duc Thuan Pham, Thi Hong Nhung Nguyen","doi":"10.3991/ijet.v18i13.39857","DOIUrl":"https://doi.org/10.3991/ijet.v18i13.39857","url":null,"abstract":"The disruptions caused by the COVID-19 pandemic stimulated the utility of the technological tools for online language learning at the tertiary level in Vietnam. Many universities chose Google digital tools as a technological solution for online instruction. However, there is still a scarcity of studies on university students’ perceptions of using Google tools in the context of online English learning. This study aims to explore university students’ perceptions of the efficacy of using Google tools (namely, Google Classroom, Google Forms, Google Meet, and Google Sites) as a combined technological solution for online English learning in the last phase of the pandemic at a university in northern Vietnam. The research was carried out in the academic year 2021–2022, with 128 non-English majors taking General English courses online. A Likert-scale questionnaire created by Google Forms was distributed to gather feedback from the students, and semi-structured interviews were conducted with eleven students to gain more in-depth data. The results overall demonstrated that the students favorably perceived the applied Google tools as effective tools to support online English learning. It was also found that females had higher perceptions than males regarding the ease of the tools. Furthermore, first-year students agreed more than second-year students on the effectiveness of the tools in increasing engagement in learning.","PeriodicalId":47933,"journal":{"name":"International Journal of Emerging Technologies in Learning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48063248","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 : 2023-07-07DOI: 10.3991/ijet.v18i13.38807
Md. Fouad Hossain Sarker, Saida Mahamuda Rahman, Samiha Khan, M. Sohel, Maruf Ahmed Tamal, Mohammad Marufur Rashid Khan, Md. Kabirul Islam
The COVID-19 pandemic has had a significant impact on both public health, and the global educational system. In response to the concerns surrounding the spread of the disease, many educational institutions, including those in Bangladesh, have shifted to online learning. This study aimed to investigate the perceptions and preferences of university students in Bangladesh towards online classes during the COVID-19 pandemic. The research was based on Binary Logistic Regression (BLR) and was conducted on a sample of 1116 university students in Bangladesh. The results of the study showed that while students faced a range of challenges while participating in online classes, including technical issues and limited access to study materials, they still preferred to participate in online courses due to the ongoing pandemic and the support of their teachers. Furthermore, the study revealed that there were differences in students’ attitudes toward online learning based on gender, geographic location, and type of university. The findings of this study are of great significance to governments, policymakers, technology developers, and university administrators, as they provide valuable information for the development of effective policies for online education in the future. These findings should be taken into consideration as a crucial guide to making in-formed decisions in the area of online education.
{"title":"Perception and Preference of the Students for Online Education during COVID-19 in Bangladesh: A Study Based on Binary Logistic Regression","authors":"Md. Fouad Hossain Sarker, Saida Mahamuda Rahman, Samiha Khan, M. Sohel, Maruf Ahmed Tamal, Mohammad Marufur Rashid Khan, Md. Kabirul Islam","doi":"10.3991/ijet.v18i13.38807","DOIUrl":"https://doi.org/10.3991/ijet.v18i13.38807","url":null,"abstract":"The COVID-19 pandemic has had a significant impact on both public health, and the global educational system. In response to the concerns surrounding the spread of the disease, many educational institutions, including those in Bangladesh, have shifted to online learning. This study aimed to investigate the perceptions and preferences of university students in Bangladesh towards online classes during the COVID-19 pandemic. The research was based on Binary Logistic Regression (BLR) and was conducted on a sample of 1116 university students in Bangladesh. The results of the study showed that while students faced a range of challenges while participating in online classes, including technical issues and limited access to study materials, they still preferred to participate in online courses due to the ongoing pandemic and the support of their teachers. Furthermore, the study revealed that there were differences in students’ attitudes toward online learning based on gender, geographic location, and type of university. The findings of this study are of great significance to governments, policymakers, technology developers, and university administrators, as they provide valuable information for the development of effective policies for online education in the future. These findings should be taken into consideration as a crucial guide to making in-formed decisions in the area of online education.","PeriodicalId":47933,"journal":{"name":"International Journal of Emerging Technologies in Learning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-07-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46927277","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}
The concerns over COVID-19 misinformation on social media platforms, particularly on Facebook have attracted scholarly interrogations worldwide, particularly on the use of its platform to peddle lies and share falsehoods about the pandemic. Hence, the study examined Facebook and COVID-19 misinformation: Perception of residents of Jos North Local Government Area, Plateau State, Nigeria. The work was guided by three research objectives and hinged on conspiracy theory. It employed a survey research design and a questionnaire for data collection. The population of the study was 4,200,400 while the sample size was 385 purposively selected and with 377 returned valid and analysed. Findings show that Facebook has been used to spread misinformation about COVID-19 and to a reasonable extent too. Further findings reveal that false information about COVID-19 on Facebook has compromised preventive actions. It, however, concluded that the menace could be curbed using multiple ways such as sourcing information from reliable Facebook accounts such as from the World Health Organization (WHO) and Nigeria Centre for Disease Control (NCDC); monitoring and removing COVID-19 misinformation as well as using verifiable testimonials of survivors on Facebook, including encouraging stakeholders in the health sector to increase their campaigns. Consequently, the paper recommends that Facebook users need always make critical judgments regarding the information they post concerning the virus. It also recommends that there should be intensive campaigns by the World Health Organization (WHO) and other relevant health institutions and governments across the globe on the need to sensitize people to desist from spreading misinformation on COVID-19.
{"title":"Facebook and COVID-19 misinformation: Perception of residents of Jos North Local Government Area, Plateau State, Nigeria","authors":"Isaac Ejiga, B. Lucas, Gabriel Gokir Gowok","doi":"10.57040/jet.v3i1.450","DOIUrl":"https://doi.org/10.57040/jet.v3i1.450","url":null,"abstract":"The concerns over COVID-19 misinformation on social media platforms, particularly on Facebook have attracted scholarly interrogations worldwide, particularly on the use of its platform to peddle lies and share falsehoods about the pandemic. Hence, the study examined Facebook and COVID-19 misinformation: Perception of residents of Jos North Local Government Area, Plateau State, Nigeria. The work was guided by three research objectives and hinged on conspiracy theory. It employed a survey research design and a questionnaire for data collection. The population of the study was 4,200,400 while the sample size was 385 purposively selected and with 377 returned valid and analysed. Findings show that Facebook has been used to spread misinformation about COVID-19 and to a reasonable extent too. Further findings reveal that false information about COVID-19 on Facebook has compromised preventive actions. It, however, concluded that the menace could be curbed using multiple ways such as sourcing information from reliable Facebook accounts such as from the World Health Organization (WHO) and Nigeria Centre for Disease Control (NCDC); monitoring and removing COVID-19 misinformation as well as using verifiable testimonials of survivors on Facebook, including encouraging stakeholders in the health sector to increase their campaigns. Consequently, the paper recommends that Facebook users need always make critical judgments regarding the information they post concerning the virus. It also recommends that there should be intensive campaigns by the World Health Organization (WHO) and other relevant health institutions and governments across the globe on the need to sensitize people to desist from spreading misinformation on COVID-19.","PeriodicalId":47933,"journal":{"name":"International Journal of Emerging Technologies in Learning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81914789","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 : 2023-06-21DOI: 10.3991/ijet.v18i12.39755
Abdelouahed Lahlali, N. Chafiq, M. Radid, Kamal Moundy, Chaibia Srour
The concept of chemical bonding and related concepts are essential topics for the fundamental understanding of chemistry courses by secondary school students. Because of the abstraction aspect, students find it difficult to understand this topic. The aim of this study is to improve students' motivation, engagement, interaction and school results by integrating interactive simulations into the teaching-learning process of chemical bonding concepts. The study was conducted in a secondary school in the Kingdom of Morocco, with a sample of 56 students in the qualifying secondary education cycle. The sample was divided into an experimental group and a control group. The experimental group is taught using more molecular models PhET simulations, while the control group follows the traditional teaching method. Using a quantitative research method with a pre- and post-test design, and an observation grid measuring students' motivation, engagement and interaction before and after the integration of interactive simulations. The data were then analysed using the IBM SPSS 25 program. The results showed that students in the experimental group working with PhET interactive simulations scored significantly higher (p<.01) than students in the control group after the post-test, thus the study showed that there is a positive correlation between students' motivation, engagement, and interaction and their school results during instruction using PhET computer simulations combined with molecular models. Therefore, the results of this study suggest that the teaching-learning of chemistry topics related to chemical bonding can be enhanced using PhET interactive simulations combined with molecular models. This research highlights the usefulness of integrating interactive simulations into the chemistry teaching-learning process.
{"title":"The Effect of Integrating Interactive Simulations on the Development of Students’ Motivation, Engagement, Interaction and School Results","authors":"Abdelouahed Lahlali, N. Chafiq, M. Radid, Kamal Moundy, Chaibia Srour","doi":"10.3991/ijet.v18i12.39755","DOIUrl":"https://doi.org/10.3991/ijet.v18i12.39755","url":null,"abstract":"The concept of chemical bonding and related concepts are essential topics for the fundamental understanding of chemistry courses by secondary school students. Because of the abstraction aspect, students find it difficult to understand this topic. The aim of this study is to improve students' motivation, engagement, interaction and school results by integrating interactive simulations into the teaching-learning process of chemical bonding concepts. The study was conducted in a secondary school in the Kingdom of Morocco, with a sample of 56 students in the qualifying secondary education cycle. The sample was divided into an experimental group and a control group. The experimental group is taught using more molecular models PhET simulations, while the control group follows the traditional teaching method. Using a quantitative research method with a pre- and post-test design, and an observation grid measuring students' motivation, engagement and interaction before and after the integration of interactive simulations. The data were then analysed using the IBM SPSS 25 program. The results showed that students in the experimental group working with PhET interactive simulations scored significantly higher (p<.01) than students in the control group after the post-test, thus the study showed that there is a positive correlation between students' motivation, engagement, and interaction and their school results during instruction using PhET computer simulations combined with molecular models. Therefore, the results of this study suggest that the teaching-learning of chemistry topics related to chemical bonding can be enhanced using PhET interactive simulations combined with molecular models. This research highlights the usefulness of integrating interactive simulations into the chemistry teaching-learning process.","PeriodicalId":47933,"journal":{"name":"International Journal of Emerging Technologies in Learning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44496458","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 : 2023-06-21DOI: 10.3991/ijet.v18i12.38659
M. Q. Al-Obaidi, N. Derbel
With continuous increase in the number of students enrolled in universities, e-learning has become an urgent necessity in modern education systems. However, applied programs face challenges in adopting this type of learning because of their need for laboratories and training workshops. With the advancement in computers and wireless communications technologies, and advent of Internet of Things technology, it has become possible to design real laboratories that can be accessed remotely. Remote labs are an advanced step that enables students to interact remotely with real laboratory devices using personal computers or smartphones from anywhere and at any time. This paper presents the use of Internet of Things technology in the design of the renewable energy laboratory, where the experiments are designed in a way that allows the student to choose the required experiment remotely, study its components, and measure many variables in order to obtain the necessary skills.
{"title":"Design of IoT Based Remote Renewable Energy Laboratory","authors":"M. Q. Al-Obaidi, N. Derbel","doi":"10.3991/ijet.v18i12.38659","DOIUrl":"https://doi.org/10.3991/ijet.v18i12.38659","url":null,"abstract":"With continuous increase in the number of students enrolled in universities, e-learning has become an urgent necessity in modern education systems. However, applied programs face challenges in adopting this type of learning because of their need for laboratories and training workshops. With the advancement in computers and wireless communications technologies, and advent of Internet of Things technology, it has become possible to design real laboratories that can be accessed remotely. Remote labs are an advanced step that enables students to interact remotely with real laboratory devices using personal computers or smartphones from anywhere and at any time. This paper presents the use of Internet of Things technology in the design of the renewable energy laboratory, where the experiments are designed in a way that allows the student to choose the required experiment remotely, study its components, and measure many variables in order to obtain the necessary skills.","PeriodicalId":47933,"journal":{"name":"International Journal of Emerging Technologies in Learning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41448342","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 : 2023-06-21DOI: 10.3991/ijet.v18i12.38071
Imane Lasri, Anouar Riadsolh, Mourad Elbelkacemi
For limiting the COVID-19 spread, countries around the world have implemented prevention measures such as lockdowns, social distancing, and the closers of educational institutions. Therefore, most academic activities are shifted to distance learning. This study proposes a deep learning approach for analyzing people’s sentiments (positive, negative, and neutral) from Twitter regarding distance learning in higher education. We collected and pre-processed 24642 English tweets about distance learning posted between July 20, 2022, and November 06, 2022. Then, a self-attention-based Bi-LSTM model with GloVe word embedding was used for sentiment classification. The proposed model performance was compared to LSTM (Long Short Term Memory), Bi-LSTM (Bidirectional-LSTM), and CNN-Bi-LSTM (Convolutional Neural Network-Bi-LSTM). Our proposed model obtains the best test accuracy of 95% on a stratified 90:10 split ratio. The results reveal generally neutral sentiments about distance learning for higher education, followed by positive sentiments, particularly in psychology and computer science, and negative sentiments in biology and chemistry. According to the obtained results, the proposed approach outperformed the state-of-art methods.
{"title":"Self-Attention-Based Bi-LSTM Model for Sentiment Analysis on Tweets about Distance Learning in Higher Education","authors":"Imane Lasri, Anouar Riadsolh, Mourad Elbelkacemi","doi":"10.3991/ijet.v18i12.38071","DOIUrl":"https://doi.org/10.3991/ijet.v18i12.38071","url":null,"abstract":"For limiting the COVID-19 spread, countries around the world have implemented prevention measures such as lockdowns, social distancing, and the closers of educational institutions. Therefore, most academic activities are shifted to distance learning. This study proposes a deep learning approach for analyzing people’s sentiments (positive, negative, and neutral) from Twitter regarding distance learning in higher education. We collected and pre-processed 24642 English tweets about distance learning posted between July 20, 2022, and November 06, 2022. Then, a self-attention-based Bi-LSTM model with GloVe word embedding was used for sentiment classification. The proposed model performance was compared to LSTM (Long Short Term Memory), Bi-LSTM (Bidirectional-LSTM), and CNN-Bi-LSTM (Convolutional Neural Network-Bi-LSTM). Our proposed model obtains the best test accuracy of 95% on a stratified 90:10 split ratio. The results reveal generally neutral sentiments about distance learning for higher education, followed by positive sentiments, particularly in psychology and computer science, and negative sentiments in biology and chemistry. According to the obtained results, the proposed approach outperformed the state-of-art methods.","PeriodicalId":47933,"journal":{"name":"International Journal of Emerging Technologies in Learning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41360465","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 : 2023-06-21DOI: 10.3991/ijet.v18i12.40373
Xiao-Lan Zhu, Jinjin Zhu, Zhuguo Li
Abstract—A system including 18 second-level indexes was constructed first from three aspects to further scientifically evaluate the effectiveness of online teaching. These aspects are the effectiveness of technical support, students’ online learning, and teachers’ online teaching. Moreover, the weights of indexes affecting the effectiveness of online teaching were calculated using the improved CRITIC (Criteria Importance Though Intercrieria Correlation) method, followed by the VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje)-based effectiveness evaluation for the online teaching of five majors, including microbiology in Henan Agricultural University. Results show that three indexes—repeated playback promotes knowledge review and consolidation (X2-2), breaking through time-space restriction facilitates learning whenever and wherever possible (X2-1), and good teacher–student and student–student interaction (X3-2)—rank top three in weight. The Q value measured using the VIKOR method reflects the best effectiveness of online microbiology teaching. The CRITIC-weighted VIKOR online teaching effectiveness evaluation model is proved to be flexible and feasible in evaluating the online teaching effectiveness of different subjects, such as schools, majors, and students. The research findings are of specific guiding significance for scientifically adjusting online teaching behaviors and carrying out online teaching activities. Moreover, this research can promote the application of big data analysis in online teaching effectiveness analysis and be of reference value for the process data evaluation of students’ online learning.
摘要——首先从三个方面构建了一个包含18个二级指标的系统，以进一步科学地评价网络教学的有效性。这些方面是技术支持的有效性、学生的在线学习和教师的在线教学。此外，采用改进的CRITIC（Criteria Importance Through Intercrieria Correlation）方法计算了影响在线教学有效性的指标权重，然后对河南农业大学微生物学等五个专业的在线教学进行了基于VIKOR（VIseKriterijumska Optimizacija I Kombrisno Resenje）的有效性评价。结果表明，重复播放促进知识复习和巩固（X2-2）、突破时空限制促进随时随地学习（X2-1）和良好的师生互动（X3-2）三个指标的权重排名前三。使用VIKOR方法测量的Q值反映了在线微生物学教学的最佳效果。CRITIC加权VIKOR在线教学效果评估模型在评估学校、专业和学生等不同学科的在线教学效果方面是灵活可行的。研究结果对科学调整网络教学行为、开展网络教学活动具有具体的指导意义。此外，本研究可以促进大数据分析在在线教学效果分析中的应用，对学生在线学习的过程数据评估具有参考价值。
{"title":"Effectiveness Evaluation of Online Teaching Based on CRITIC-VIKOR Technology","authors":"Xiao-Lan Zhu, Jinjin Zhu, Zhuguo Li","doi":"10.3991/ijet.v18i12.40373","DOIUrl":"https://doi.org/10.3991/ijet.v18i12.40373","url":null,"abstract":"Abstract—A system including 18 second-level indexes was constructed first from three aspects to further scientifically evaluate the effectiveness of online teaching. These aspects are the effectiveness of technical support, students’ online learning, and teachers’ online teaching. Moreover, the weights of indexes affecting the effectiveness of online teaching were calculated using the improved CRITIC (Criteria Importance Though Intercrieria Correlation) method, followed by the VIKOR (VIseKriterijumska Optimizacija I Kompromisno Resenje)-based effectiveness evaluation for the online teaching of five majors, including microbiology in Henan Agricultural University. Results show that three indexes—repeated playback promotes knowledge review and consolidation (X2-2), breaking through time-space restriction facilitates learning whenever and wherever possible (X2-1), and good teacher–student and student–student interaction (X3-2)—rank top three in weight. The Q value measured using the VIKOR method reflects the best effectiveness of online microbiology teaching. The CRITIC-weighted VIKOR online teaching effectiveness evaluation model is proved to be flexible and feasible in evaluating the online teaching effectiveness of different subjects, such as schools, majors, and students. The research findings are of specific guiding significance for scientifically adjusting online teaching behaviors and carrying out online teaching activities. Moreover, this research can promote the application of big data analysis in online teaching effectiveness analysis and be of reference value for the process data evaluation of students’ online learning.","PeriodicalId":47933,"journal":{"name":"International Journal of Emerging Technologies in Learning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"46890763","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 : 2023-06-21DOI: 10.3991/ijet.v18i12.41087
Kun Wang
How to identify in advance and help college students with academic difficulties is an important topic for current education departments and universities. Academic early warning system based on big data analysis comprehensively analyzes the learning, life and psychological data of college students, effectively identifies potential academic problems, and helps teachers and student managers take measures in advance to improve the education quality. The existing academic warning models of college students based on big data analysis often have defects, such as data quality issues, lack of key variables, nonlinear problems, and human factors. Therefore, this paper aimed to study the academic early warning model of college students based on big data analysis. After elaborating on the key points of collecting the academic early warning model data based on big data analysis, this paper explained the reasons of calculating the Pearson correlation coefficient of collected big data. This paper constructed an academic early warning model of college students based on deep self-coding network, provided the construction process, and explained its working principle. After optimizing the model parameters, this paper analyzed the model reconstruction error based on sliding window statistical method, and further improved the prediction ability and generalization performance of evaluating the deep self-coding network model, thus obtaining higher academic early warning accuracy. The experimental results verified that the constructed model was effective.
{"title":"Academic Early Warning Model for Students Based on Big Data Analysis","authors":"Kun Wang","doi":"10.3991/ijet.v18i12.41087","DOIUrl":"https://doi.org/10.3991/ijet.v18i12.41087","url":null,"abstract":"How to identify in advance and help college students with academic difficulties is an important topic for current education departments and universities. Academic early warning system based on big data analysis comprehensively analyzes the learning, life and psychological data of college students, effectively identifies potential academic problems, and helps teachers and student managers take measures in advance to improve the education quality. The existing academic warning models of college students based on big data analysis often have defects, such as data quality issues, lack of key variables, nonlinear problems, and human factors. Therefore, this paper aimed to study the academic early warning model of college students based on big data analysis. After elaborating on the key points of collecting the academic early warning model data based on big data analysis, this paper explained the reasons of calculating the Pearson correlation coefficient of collected big data. This paper constructed an academic early warning model of college students based on deep self-coding network, provided the construction process, and explained its working principle. After optimizing the model parameters, this paper analyzed the model reconstruction error based on sliding window statistical method, and further improved the prediction ability and generalization performance of evaluating the deep self-coding network model, thus obtaining higher academic early warning accuracy. The experimental results verified that the constructed model was effective.","PeriodicalId":47933,"journal":{"name":"International Journal of Emerging Technologies in Learning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"44058155","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 : 2023-06-21DOI: 10.3991/ijet.v18i12.38765
Nazir Haider Shah, N. Nazir, M. Arshad, Khatiba Akhter, Abdul Khaliq Shaheen, Sidra Younas, Faheem Ghazanfar
The effect of student’s attitude on mathematical achievement has gathered tremendous attention from various researchers. However, there is a degree of inconsistency in the findings regarding these effects. The aim of the study was to find out the effect of students’ attitude towards Mathematics on their mathematical achievement at secondary schools in AJ&K. The objectives of the study were; to analyze students’ attitude in Mathematics at secondary level, to compare students’ attitude and academic achievement in Mathematics (gender wise) in AJ&K and to find out the effect of students’ attitude on Mathematical achievement at secondary level in AJ&K. The research was descriptive and quantitative in nature and cross-sectional survey was used to collect the data. All the students of 10th class of Govt. Secondary Schools in District Bagh AJ&K were the population of the study. There were 1076 students (458 boys and 618 girls) studying in 10th class in Government Secondary Schools of District Bagh. Sample was taken using Stratified random sampling technique. The researcher selected 444 students (192 male and 252 female) using proportionate stratified random sampling technique. The researcher developed five-point Likert scale questionnaire to collect the data. It was concluded that attitude had an impact on the mathematical achievements of the students. Parents’ education, qualification and social status had positive effect on academic achievements of students. It is recommended that students may be encouraged to achieve mathematical goals.
{"title":"Effect of Students Attitude Towards Mathematics on their Mathematical Achievement at Secondary School Level","authors":"Nazir Haider Shah, N. Nazir, M. Arshad, Khatiba Akhter, Abdul Khaliq Shaheen, Sidra Younas, Faheem Ghazanfar","doi":"10.3991/ijet.v18i12.38765","DOIUrl":"https://doi.org/10.3991/ijet.v18i12.38765","url":null,"abstract":"The effect of student’s attitude on mathematical achievement has gathered tremendous attention from various researchers. However, there is a degree of inconsistency in the findings regarding these effects. The aim of the study was to find out the effect of students’ attitude towards Mathematics on their mathematical achievement at secondary schools in AJ&K. The objectives of the study were; to analyze students’ attitude in Mathematics at secondary level, to compare students’ attitude and academic achievement in Mathematics (gender wise) in AJ&K and to find out the effect of students’ attitude on Mathematical achievement at secondary level in AJ&K. The research was descriptive and quantitative in nature and cross-sectional survey was used to collect the data. All the students of 10th class of Govt. Secondary Schools in District Bagh AJ&K were the population of the study. There were 1076 students (458 boys and 618 girls) studying in 10th class in Government Secondary Schools of District Bagh. Sample was taken using Stratified random sampling technique. The researcher selected 444 students (192 male and 252 female) using proportionate stratified random sampling technique. The researcher developed five-point Likert scale questionnaire to collect the data. It was concluded that attitude had an impact on the mathematical achievements of the students. Parents’ education, qualification and social status had positive effect on academic achievements of students. It is recommended that students may be encouraged to achieve mathematical goals.","PeriodicalId":47933,"journal":{"name":"International Journal of Emerging Technologies in Learning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43120072","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 : 2023-06-21DOI: 10.3991/ijet.v18i12.34939
Wunwisa Punkhoom, Hambalee Jehma
This study aimed to explore the students’ acceptance serving as a reflective valuable data concerning what the students perceived if applying the pedagogy of giving virtual or online feedback by the teacher through the platforms of Zoom and ClassStart was beneficial in developing their English language skills. The perceptions of use of the platforms were also investigated. The participants of this study were 134 students purposely selected from 250 students, studying at a local university in Thailand, majoring in English Education. They have taken an Effective Presentation course which was compulsory for the students majoring in English Education. They have been through the research designed context to be investigated their perception on giving feedback to enhance their English-speaking skills for 30 hours, 3 hours per week for a semester. The tools implemented for collecting the data were the distribution of questionnaires online with the open-ended questions. The collected data were then analyzed through SPSS and ANOVA. The findings showed that applying the pedagogy of giving virtual or online feedback by the teacher through the platforms of Zoom and ClassStart was advised not only can be applied in teaching and learning language, yet other courses as a mean of an assisted tool educators can implement in their classes properly.
{"title":"Virtual Feedback: Exploring and Analyzing Students’ Acceptance as a Tool for Developing English Language Skills","authors":"Wunwisa Punkhoom, Hambalee Jehma","doi":"10.3991/ijet.v18i12.34939","DOIUrl":"https://doi.org/10.3991/ijet.v18i12.34939","url":null,"abstract":"This study aimed to explore the students’ acceptance serving as a reflective valuable data concerning what the students perceived if applying the pedagogy of giving virtual or online feedback by the teacher through the platforms of Zoom and ClassStart was beneficial in developing their English language skills. The perceptions of use of the platforms were also investigated. The participants of this study were 134 students purposely selected from 250 students, studying at a local university in Thailand, majoring in English Education. They have taken an Effective Presentation course which was compulsory for the students majoring in English Education. They have been through the research designed context to be investigated their perception on giving feedback to enhance their English-speaking skills for 30 hours, 3 hours per week for a semester. The tools implemented for collecting the data were the distribution of questionnaires online with the open-ended questions. The collected data were then analyzed through SPSS and ANOVA. The findings showed that applying the pedagogy of giving virtual or online feedback by the teacher through the platforms of Zoom and ClassStart was advised not only can be applied in teaching and learning language, yet other courses as a mean of an assisted tool educators can implement in their classes properly. \u0000 ","PeriodicalId":47933,"journal":{"name":"International Journal of Emerging Technologies in Learning","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41559602","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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