Pub Date : 2022-04-09DOI: 10.1109/ICIET55102.2022.9778985
Raine Kauppinen, Merja Drake, Jani Lindblad, Jere Ranta
In this paper, we discuss how to implement educational virtual reality (VR) applications based on worklife competencies. VR is a technology increasingly used in education, and VR applications can be used, for example, in workplace learning and vocational education as well as in learning evaluation. We present a development workflow based on the good practices found and applied in multiple development cases. First, we describe the cases and use examples to illustrate competencies and their implementation in educational VR applications, with our observations of relevant good practices. Then, we construct a generalized workflow for developing similar competence-based educational VR applications. Finally, we evaluate the applicability of the workflow and compare it with the typical existing workflows used in software development.
{"title":"From Worklife Competencies to Educational Virtual Reality Implementations","authors":"Raine Kauppinen, Merja Drake, Jani Lindblad, Jere Ranta","doi":"10.1109/ICIET55102.2022.9778985","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9778985","url":null,"abstract":"In this paper, we discuss how to implement educational virtual reality (VR) applications based on worklife competencies. VR is a technology increasingly used in education, and VR applications can be used, for example, in workplace learning and vocational education as well as in learning evaluation. We present a development workflow based on the good practices found and applied in multiple development cases. First, we describe the cases and use examples to illustrate competencies and their implementation in educational VR applications, with our observations of relevant good practices. Then, we construct a generalized workflow for developing similar competence-based educational VR applications. Finally, we evaluate the applicability of the workflow and compare it with the typical existing workflows used in software development.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123808571","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9778947
Jing Wang
This paper sets out to depict an award-winning teacher's Moodle design as assessment hurdle and explore students' actual experience with such design in a Hong Kong university context. The rich qualitative data, drawn from classroom observations, semi-structured interviews, and documents, shows that the voluntary nature of Moodle task without clear assessment criteria discouraged students' participation. Two pertinent issues were discussed concerning building disciplinary community and teacher-facilitated versus student-facilitated discussion. However exploratory, the perspectives regarding various pedagogical practices and dilemmas on web-based learning, and pedagogical insights that emerged from the specific setting may carry resonance for teachers and researchers in Hong Kong context and beyond.
{"title":"Moodle Discussion as Assessment Hurdle: Insights from a Hong Kong Award-winning Teacher's LMS Practices","authors":"Jing Wang","doi":"10.1109/ICIET55102.2022.9778947","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9778947","url":null,"abstract":"This paper sets out to depict an award-winning teacher's Moodle design as assessment hurdle and explore students' actual experience with such design in a Hong Kong university context. The rich qualitative data, drawn from classroom observations, semi-structured interviews, and documents, shows that the voluntary nature of Moodle task without clear assessment criteria discouraged students' participation. Two pertinent issues were discussed concerning building disciplinary community and teacher-facilitated versus student-facilitated discussion. However exploratory, the perspectives regarding various pedagogical practices and dilemmas on web-based learning, and pedagogical insights that emerged from the specific setting may carry resonance for teachers and researchers in Hong Kong context and beyond.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130045131","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9779012
Mary Ann F. Quioc, Jona P. Tibay, Dennis L. Tacadena
The faculty is an important asset to guarantee that an academic institution operates as expected. Performance evaluation is an important tool used to assess faculty efficiency in the workplace. The study focuses on the comparison of three different decision support models identifying the suited model to be used in the proposed faculty performance evaluation framework. A local community college provided the historical data and documents to the researchers. The researcher selected three suitable decision support models and used Weka for data analysis. The results of preliminary data analysis examined shows that the identified faculty performance evaluation criterion includes 75% of the National Budget Circular (NBC) criteria; 15% IPCR and 10% College Involvement and Participation (CIP). The comparative analysis criteria used in analyzing the decision tree would be utilized as the model in the knowledge-based decision support system. With regards to build time, both Random Tree and REP Tree resulted in 0 seconds while M5P has 0.23 seconds. Build time would affect the model efficiency in terms of resources needed for execution. REP Tree has the highest size of tree produced in the model. Since all the decision tree models have positive coefficients, it indicates that when the value of one variable increases, the value of the other variable also tends to increase. The results of comparing the decision support models in this study had identified potential suitability of a model in faculty performance evaluation. Furthermore, policies in the locale could be based on the logical decision trees presented in this study.
教师是保证一个学术机构按预期运作的重要资产。绩效评估是评估教职员工工作效率的重要工具。本研究的重点是比较三种不同的决策支持模型，以确定在拟议的教师绩效评估框架中使用的合适模型。当地一所社区大学为研究人员提供了历史数据和文件。研究者选择了三种合适的决策支持模型，并使用Weka进行数据分析。初步数据分析的结果表明，确定的教师绩效评估标准包括75%的国家预算通告(NBC)标准;15% IPCR和10% College Involvement and Participation (CIP)。在基于知识的决策支持系统中，将采用分析决策树的比较分析准则作为模型。关于建造时间，随机树和REP树都是0秒，而M5P是0.23秒。就执行所需的资源而言，构建时间将影响模型效率。REP树是模型中生成的树的最大大小。由于所有的决策树模型都有正系数，这表明当一个变量的值增加时，另一个变量的值也趋于增加。本研究的结果比较了决策支持模型，确定了一个模型在教师绩效评估中的潜在适用性。此外，区域设置中的策略可以基于本研究中提出的逻辑决策树。
{"title":"Comparative Analysis of Decision Support Models for Faculty Performance Evaluation","authors":"Mary Ann F. Quioc, Jona P. Tibay, Dennis L. Tacadena","doi":"10.1109/ICIET55102.2022.9779012","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779012","url":null,"abstract":"The faculty is an important asset to guarantee that an academic institution operates as expected. Performance evaluation is an important tool used to assess faculty efficiency in the workplace. The study focuses on the comparison of three different decision support models identifying the suited model to be used in the proposed faculty performance evaluation framework. A local community college provided the historical data and documents to the researchers. The researcher selected three suitable decision support models and used Weka for data analysis. The results of preliminary data analysis examined shows that the identified faculty performance evaluation criterion includes 75% of the National Budget Circular (NBC) criteria; 15% IPCR and 10% College Involvement and Participation (CIP). The comparative analysis criteria used in analyzing the decision tree would be utilized as the model in the knowledge-based decision support system. With regards to build time, both Random Tree and REP Tree resulted in 0 seconds while M5P has 0.23 seconds. Build time would affect the model efficiency in terms of resources needed for execution. REP Tree has the highest size of tree produced in the model. Since all the decision tree models have positive coefficients, it indicates that when the value of one variable increases, the value of the other variable also tends to increase. The results of comparing the decision support models in this study had identified potential suitability of a model in faculty performance evaluation. Furthermore, policies in the locale could be based on the logical decision trees presented in this study.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116375315","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9779043
H. Mu, Yahong Xue, Lijun Xue, Xiao-fei Wang
The aim of “Emerging Engineering Education” talent training is to cultivate high-quality compound engineering talents with engineering practice ability and innovation ability. In engineering drawing courses, the important way to cultivate engineering talents' innovation ability is to develop their innovative consciousness and innovative thinking. Guided by the educational concept of “Emerging Engineering Education”, in combination with the characteristics of the teaching content, and aiming at the cultivation of innovation ability, a four-level progressive practice teaching system was constructed with configuration cognition, configuration expansion, abstract thinking training and comprehensive expression as the main components. To improve students' ability to solve complex engineering problems by using a graphics thinking method, five teaching links were designed: the cultivation of two-dimensional (2D) graphic thinking ability, the cultivation and expansion of three-dimensional (3D) graphic thinking ability, the training of abstract thinking ability under engineering consciousness, and the training of engineering graphic expression ability and engineering practice ability.
{"title":"Discussion on the Cultivation of Innovation Ability in Engineering Drawing Teaching Under the Background of “Emerging Engineering Education”","authors":"H. Mu, Yahong Xue, Lijun Xue, Xiao-fei Wang","doi":"10.1109/ICIET55102.2022.9779043","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779043","url":null,"abstract":"The aim of “Emerging Engineering Education” talent training is to cultivate high-quality compound engineering talents with engineering practice ability and innovation ability. In engineering drawing courses, the important way to cultivate engineering talents' innovation ability is to develop their innovative consciousness and innovative thinking. Guided by the educational concept of “Emerging Engineering Education”, in combination with the characteristics of the teaching content, and aiming at the cultivation of innovation ability, a four-level progressive practice teaching system was constructed with configuration cognition, configuration expansion, abstract thinking training and comprehensive expression as the main components. To improve students' ability to solve complex engineering problems by using a graphics thinking method, five teaching links were designed: the cultivation of two-dimensional (2D) graphic thinking ability, the cultivation and expansion of three-dimensional (3D) graphic thinking ability, the training of abstract thinking ability under engineering consciousness, and the training of engineering graphic expression ability and engineering practice ability.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127731015","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9778978
Wanting Zhang, Jin Zhao, ChengXin Kou
Under the influence of COVID-19, the adaptability and effectiveness of online education have become one of the hot issues concerned by today's society. “Internet plus” also provides an opportunity for China's philanthropy to integrate resources. This study selects 18 rural hope primary schools as the research objects to conduct questionnaire surveys and individual interviews around the online supporting education cases based on the urban-rural interactive classroom model. Compared with traditional supporting education, online supporting education in urban and rural interactive classrooms can simulate the real classroom environment and is especially suitable for teaching rural primary school students with weak self-learning ability. However, the actual online teaching effect is far lower than expected, mainly due to the following problems. For example, the course cannot be carried out normally because the teachers at rural hope primary schools are not familiar with the operation of the equipment. The teaching volunteer team is not professional and stable enough. The teaching effect cannot be tested in time. We suggest improving the training mechanism for teachers at rural hope primary schools, promoting the incentive mechanism of volunteers and seeking help from a third-party teaching assessment agency.
{"title":"Research on Online Supporting Education Based on the Model of Urban and Rural Interactive Classrooms","authors":"Wanting Zhang, Jin Zhao, ChengXin Kou","doi":"10.1109/ICIET55102.2022.9778978","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9778978","url":null,"abstract":"Under the influence of COVID-19, the adaptability and effectiveness of online education have become one of the hot issues concerned by today's society. “Internet plus” also provides an opportunity for China's philanthropy to integrate resources. This study selects 18 rural hope primary schools as the research objects to conduct questionnaire surveys and individual interviews around the online supporting education cases based on the urban-rural interactive classroom model. Compared with traditional supporting education, online supporting education in urban and rural interactive classrooms can simulate the real classroom environment and is especially suitable for teaching rural primary school students with weak self-learning ability. However, the actual online teaching effect is far lower than expected, mainly due to the following problems. For example, the course cannot be carried out normally because the teachers at rural hope primary schools are not familiar with the operation of the equipment. The teaching volunteer team is not professional and stable enough. The teaching effect cannot be tested in time. We suggest improving the training mechanism for teachers at rural hope primary schools, promoting the incentive mechanism of volunteers and seeking help from a third-party teaching assessment agency.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129108994","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9779015
Jingxiu Shi, Li Ni, Zhihao Su
English speaking is a very important skill of English ability for students. At the same time, English speaking learning needs a demanding environment. Because English teachers have heavy teaching tasks and limited time. This research developed an English-speaking teaching system with natural language processing technology based on artificial intelligence algorithms, which can solve this problem very well. The system engages the most advanced natural language processing technology based on artificial intelligence algorithms to correct and feedback students' oral problems in a timely, fast, and targeted manner, which is beneficial to improve students' speaking learning efficiency and interest. This system proposes an improved Bidirectional Encoder Representations from Transformers model, which is simply called BERT and based on Transformer's bidirectional encoding representation. The accuracy of this algorithm for spoken English recognition is significantly higher than other classical algorithms. This system has been tested and evaluated in some universities, and the learning efficiency and satisfaction of students is significantly higher than other oral English learning systems.
{"title":"English-Speaking Teaching System with Natural Language Processing Technology Based on Artificial Intelligence Algorithms","authors":"Jingxiu Shi, Li Ni, Zhihao Su","doi":"10.1109/ICIET55102.2022.9779015","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779015","url":null,"abstract":"English speaking is a very important skill of English ability for students. At the same time, English speaking learning needs a demanding environment. Because English teachers have heavy teaching tasks and limited time. This research developed an English-speaking teaching system with natural language processing technology based on artificial intelligence algorithms, which can solve this problem very well. The system engages the most advanced natural language processing technology based on artificial intelligence algorithms to correct and feedback students' oral problems in a timely, fast, and targeted manner, which is beneficial to improve students' speaking learning efficiency and interest. This system proposes an improved Bidirectional Encoder Representations from Transformers model, which is simply called BERT and based on Transformer's bidirectional encoding representation. The accuracy of this algorithm for spoken English recognition is significantly higher than other classical algorithms. This system has been tested and evaluated in some universities, and the learning efficiency and satisfaction of students is significantly higher than other oral English learning systems.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132301092","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}
Learning outcomes have gained more and more attention in higher education. Course learning outcomes are essential for all stakeholders. There are many approaches to evaluate course learning outcomes. However, one single method cannot measure course learning outcomes preciously. Each method has its strength and weaknesses. For example, grades tend to measure knowledge but lack standardization. We presented a novel way to assess course learning outcomes with the cross-validation principle. Experiments show that this method can measure higher-level learning outcomes, as applying skills or knowledge in different contexts. The new approach provides a different perspective for assessing course learning outcomes.
{"title":"Summative Assessment of Undergraduate Learning Outcomes with Cross-Validation in C Programming Course","authors":"Yongbin Zhang, Ronghua Liang, Yanying Zheng, Hao Zhang, Ping Wang, Yeli Li","doi":"10.1109/ICIET55102.2022.9779036","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779036","url":null,"abstract":"Learning outcomes have gained more and more attention in higher education. Course learning outcomes are essential for all stakeholders. There are many approaches to evaluate course learning outcomes. However, one single method cannot measure course learning outcomes preciously. Each method has its strength and weaknesses. For example, grades tend to measure knowledge but lack standardization. We presented a novel way to assess course learning outcomes with the cross-validation principle. Experiments show that this method can measure higher-level learning outcomes, as applying skills or knowledge in different contexts. The new approach provides a different perspective for assessing course learning outcomes.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126879774","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9778955
H. Guan, Chen Chao, Deng Shuangjie, Wang Yihan
In order to explore whether pre-embedding can better support learning in VR videos, this paper takes 30 college students as the research object, and conducts a single-factor randomized experiment of “pre-embedding problems and non-embedding problems in VR videos” The results show that pre-problems can effectively increase the time learners pay attention to the corresponding learning content, have a positive impact on learning retention and long-term memory, and increase the cognitive load in the learning process and have no significant impact on knowledge transfer. The research conclusions of this article can provide reference for the development of VR video teaching resources.
{"title":"Research on the Effect of Pre-problems on the Learning Effect of Declarative Knowledge in VR Videos","authors":"H. Guan, Chen Chao, Deng Shuangjie, Wang Yihan","doi":"10.1109/ICIET55102.2022.9778955","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9778955","url":null,"abstract":"In order to explore whether pre-embedding can better support learning in VR videos, this paper takes 30 college students as the research object, and conducts a single-factor randomized experiment of “pre-embedding problems and non-embedding problems in VR videos” The results show that pre-problems can effectively increase the time learners pay attention to the corresponding learning content, have a positive impact on learning retention and long-term memory, and increase the cognitive load in the learning process and have no significant impact on knowledge transfer. The research conclusions of this article can provide reference for the development of VR video teaching resources.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124164942","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9779022
Yumo Yan, Jui Chi Lee, E. Cooper
Due to the limited interaction between students and teachers in online environments, teachers often struggle to keep track of their students' needs in terms of teaching response. The purpose of this research is to construct a model that infers student needs based on their facial expressions while they are learning online. An experiment collected video recordings of students' faces while learning and a survey collected their reported needs. A neural network model was created to infer the reported needs from facial expression data extracted from the videos as action units in Facial Action Coding System (FACS). A neural network was trained to infer the student need responses from the factors obtained through Factor Analysis. Inference model testing demonstrated that the model correctly identifies reported needs 87% of the time on video samples not used for training. The results suggest this approach may contribute to the development of improved online learning systems that will allow teachers to understand in real-time how students want them to respond.
{"title":"Inference of Student Needs in an Online Learning Environment Based on Facial Expression","authors":"Yumo Yan, Jui Chi Lee, E. Cooper","doi":"10.1109/ICIET55102.2022.9779022","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779022","url":null,"abstract":"Due to the limited interaction between students and teachers in online environments, teachers often struggle to keep track of their students' needs in terms of teaching response. The purpose of this research is to construct a model that infers student needs based on their facial expressions while they are learning online. An experiment collected video recordings of students' faces while learning and a survey collected their reported needs. A neural network model was created to infer the reported needs from facial expression data extracted from the videos as action units in Facial Action Coding System (FACS). A neural network was trained to infer the student need responses from the factors obtained through Factor Analysis. Inference model testing demonstrated that the model correctly identifies reported needs 87% of the time on video samples not used for training. The results suggest this approach may contribute to the development of improved online learning systems that will allow teachers to understand in real-time how students want them to respond.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123752202","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 : 2022-04-09DOI: 10.1109/ICIET55102.2022.9779026
Y. Yung
For many years, educators have always tried to find ways to boost student engagement. The Computing Programme of the Macao Polytechnic Institute (MPI) has been organising various extracurricular activities (ECA) throughout the academic years in an effort to raise the engagement levels of its computing undergraduates. This was a four-year longitudinal study of a single cohort of students, from entry into the first year of the Computing Programme (student intake 2017–18 for Macao Polytechnic Institute) through exit from fourth year, exploring student engagement, in order to demonstrate how ECA impacted their engagement levels. This study employed a quantitative approach. A 30-item Computing Programme Longitudinal Survey of Student Engagement (CPLSSE) was used as the instrument for data collection. Quantitative data from the CPLSSE were analysed using descriptive and inferential statistics. Alpha was established apriori at 0.05. Findings showed that the ECA have a positive impact on the engagement level of the computing students.
{"title":"Investigating the Enhancement of Student Engagement through Extracurricular Activities: A Four-Year Longitudinal Study","authors":"Y. Yung","doi":"10.1109/ICIET55102.2022.9779026","DOIUrl":"https://doi.org/10.1109/ICIET55102.2022.9779026","url":null,"abstract":"For many years, educators have always tried to find ways to boost student engagement. The Computing Programme of the Macao Polytechnic Institute (MPI) has been organising various extracurricular activities (ECA) throughout the academic years in an effort to raise the engagement levels of its computing undergraduates. This was a four-year longitudinal study of a single cohort of students, from entry into the first year of the Computing Programme (student intake 2017–18 for Macao Polytechnic Institute) through exit from fourth year, exploring student engagement, in order to demonstrate how ECA impacted their engagement levels. This study employed a quantitative approach. A 30-item Computing Programme Longitudinal Survey of Student Engagement (CPLSSE) was used as the instrument for data collection. Quantitative data from the CPLSSE were analysed using descriptive and inferential statistics. Alpha was established apriori at 0.05. Findings showed that the ECA have a positive impact on the engagement level of the computing students.","PeriodicalId":371262,"journal":{"name":"2022 10th International Conference on Information and Education Technology (ICIET)","volume":"103 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131709720","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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