{"title":"Exploring Elementary Students’ Perceptions of Robots: The Draw-A-Robot Test","authors":"Yuchen Chen, Xinli Zhang, Yiwei Bao, Lailin Hu","doi":"10.1109/CSTE55932.2022.00052","DOIUrl":"https://doi.org/10.1109/CSTE55932.2022.00052","url":null,"abstract":"This study explored elementary school students' perceptions of robots via drawing analysis. A total of 100 sixth graders from China participated in this Draw-a-robot Test. A coding checklist with four categories and forty-two subcategories was developed to analyze the features of students' drawings. Data analysis reveals: (1) both male and female students in sixth grade depicted special robots most frequently rather than industry robots; (2) the most common activities robots did were doing housework or navigating/guiding; (3) more than half of the drawings did not have any people involved; (4) the robots were mostly located at home or restaurant/canteen; (5) there was also a difference in the depiction of features of different categories between male and female students' drawings. The findings yielded in this study have practical implications for the development and implementation of future robot education outreach efforts.","PeriodicalId":372816,"journal":{"name":"2022 4th International Conference on Computer Science and Technologies in Education (CSTE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133421980","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}
M. N. Razali, Habiel Zakariah, R. Hanapi, Emelia Abdul Rahim
{"title":"Predictive Model of Undergraduate Student Grading Using Machine Learning for Learning Analytics","authors":"M. N. Razali, Habiel Zakariah, R. Hanapi, Emelia Abdul Rahim","doi":"10.1109/CSTE55932.2022.00055","DOIUrl":"https://doi.org/10.1109/CSTE55932.2022.00055","url":null,"abstract":"Predicting the academic achievement has become very important for university students as well as lecturers, especially during the difficult times of pandemic Covid-19, online distance learning (ODL) with some students need to do part-time job due to financial problems. Furthermore, we are surrounded by a plethora of digital entertainment, such as social media platforms and mobile games, which may also serve as a distraction and undermine students' commitment to their studies. Therefore, this paper develops a model to predict student academic performance using Machine Learning approaches. The model is developed by training the dataset acquired that consists of demographic information, study preparation, academic performance and motivation from the students in a public higher institution in Malaysia. The model is also tested on the public dataset related to student academic performance. The findings showed that JRip classifier have obtained the best accuracy of 92% for the newly collected data and 100% accuracy by using Random Forest classifier on the public dataset. The developed model and data visualization are useful for the development of learning analytics system which students and lecturers can make an early intervention and determining whether students need to take necessary actions to improve their academic results in real-time, as well as gaining a better understanding of the factors that may affect their academic performance.","PeriodicalId":372816,"journal":{"name":"2022 4th International Conference on Computer Science and Technologies in Education (CSTE)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122063342","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}
{"title":"Exploring the Technology and Problems of Artificial Intelligence Education Applications","authors":"K. Zhang, Peng-hua Deng","doi":"10.1109/CSTE55932.2022.00056","DOIUrl":"https://doi.org/10.1109/CSTE55932.2022.00056","url":null,"abstract":"The rapid development of artificial intelligence technology and its use in the field of education continues to spread, bringing about high speed development in education. However, there are inevitably some problems in the actual use of AI in education (e.g., simplifying and narrowing it down). Analyze and discuss the problems in the process of using the common techniques of AI educational applications: the problem of simplicity of execution leading to behaviorism, the problem of information cocoon caused by algorithmic recommendations, the problem of teachers' AI anxiety, the problem of ethics of AI educational applications, and the problem of emotional deficiency. The only way to better integrate technology into educational practice is to view it correctly and to grasp the degree of its use.","PeriodicalId":372816,"journal":{"name":"2022 4th International Conference on Computer Science and Technologies in Education (CSTE)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133825108","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}
{"title":"Design of Online-Merge-Offline Intelligent Learning Space under the Background of Open Education","authors":"Lamei Wang, Yuanyi Qi, Jun Xiao","doi":"10.1109/CSTE55932.2022.00040","DOIUrl":"https://doi.org/10.1109/CSTE55932.2022.00040","url":null,"abstract":"The global COVID-19 is spreading, and online teaching is developing rapidly. The continuous deepening of the integration of new technologies such as artificial intelligence and big data with education and teaching has prompted new changes in education and teaching, especially online and offline integrated teaching has become a new form of teaching. Combining the characteristics of open education, this study proposed a design model of online-merge-offline (OMO) intelligent learning space under the framework of PSST on the basis of sorting out the connotation of OMO intelligent learning space, in order to provide reference for future research on intelligent learning space.","PeriodicalId":372816,"journal":{"name":"2022 4th International Conference on Computer Science and Technologies in Education (CSTE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122008121","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}
{"title":"Integrating Inquiry-Based Pedagogy with Mixed Reality: Theories and Practices","authors":"Heng Luo, Xu Han, Qinna Feng, Gege Li","doi":"10.1109/CSTE55932.2022.00021","DOIUrl":"https://doi.org/10.1109/CSTE55932.2022.00021","url":null,"abstract":"Mixed reality is virtual environment with varying levels of immersion and interaction, and it is often used as an umbrella term for both augmented reality (AR) and virtual reality (VR). Owing to its unique learning affordances, MR has been used to assist teaching and learning activities in various contexts. However, the literature of MR-based instruction focuses on its impact on teaching and learning, lacking systematic analysis of the underlying pedagogies, technological features, and their relationship. To address such limitation, this study uses two design cases of MR interventions to demonstrate effective integration of well-established inquiry-based pedagogy and technological features of MR. The research findings can extend our understanding of inquiry-based learning in MR context and inform the design and development of MR-based instruction.","PeriodicalId":372816,"journal":{"name":"2022 4th International Conference on Computer Science and Technologies in Education (CSTE)","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126145945","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}
{"title":"The Application of AES in International Chinese Language Smart Education","authors":"Ruiling Ma, Gang Cao, Miaoting Wang, Juan Xu","doi":"10.1109/CSTE55932.2022.00011","DOIUrl":"https://doi.org/10.1109/CSTE55932.2022.00011","url":null,"abstract":"As International Chinese Language education has progressed into the era of smart education, the technology of language intelligence has been extensively used in teaching Chinese as a second language. This paper uses the multiple linear regression method to train an automatic scoring model for Chinese L2 learners. The article selects 15 of the 126 composition text features as effective parameters, and trains 7 scoring models based on these parameters, finally obtains the composition score by averaging. This survey also analyzes the teaching application of the smart learning platform from the perspective of teaching, learning, evaluation and management. The study findings of teaching experiments indicate that the automatic essay scoring technology can help Chinese L2 learners to develop their writing ability.","PeriodicalId":372816,"journal":{"name":"2022 4th International Conference on Computer Science and Technologies in Education (CSTE)","volume":"258 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130104261","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}
{"title":"Effects of Practice on Software Training Video for College Students","authors":"Ronghua Yang, Yi Zhang, Yan Liu, Jiumin Yang","doi":"10.1109/CSTE55932.2022.00062","DOIUrl":"https://doi.org/10.1109/CSTE55932.2022.00062","url":null,"abstract":"Instructional videos for software training have gradually replaced traditional teaching, becoming the first choice of software operation courses in higher education. An effective measure that can support learning is adding practice. However, when arranging practice could bring the best learning effect has rarely been empirically investigated. This study compared the difference between learning experience and learning performance when practicing before or after the DBT video. Participants were 39 undergraduates. The results showed that the video-practice group felt higher motivation than the practice-video group, but their engagement was at a similar level. Besides, the video-practice group also achieved better learning effect in the software operation test of retention and transfer. But this difference did not exist in knowledge test. Further analysis showed that autonomous learning ability was an important factor in the use of DBT video.","PeriodicalId":372816,"journal":{"name":"2022 4th International Conference on Computer Science and Technologies in Education (CSTE)","volume":"532 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122103549","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}
{"title":"Online Peer Feedback and Critical Thinking Skills: An Investigation from Students' Perspectives in a Private University in Vietnam","authors":"Le Ha Van, Yen Duong","doi":"10.1109/CSTE55932.2022.00045","DOIUrl":"https://doi.org/10.1109/CSTE55932.2022.00045","url":null,"abstract":"The prevalence of computer technologies has grown the perception of online peer feedback as an effective instrument for developing critical thinking abilities in higher education generally, and ESL classrooms specifically, as a tool for improving critical thinking abilities. The efficiency of this activity was most clearly proved during the Covid 19 pandemic when educational systems around the world were pushed to transition from traditional courses to online learning. The current study looked into how Vietnamese students perceived online peer feedback and its connection to critical thinking abilities. A mixed-methods strategy was adopted in this project, which integrated both quantitative and qualitative techniques. The perspectives of 91 students enrolled in an English General Preparation Course at a private university in Vietnam on online peer feedback were effectively communicated through quantitative surveys for objective data, followed by qualitative interviews with three English lecturers and six students for in-depth information about their experiences. This study demonstrated that offering online peer feedback to students enables them to enhance their critical thinking skills, notably in examining one another's work and, as a result, proposing a viable solution. However, to ensure that students are able to reap the benefits of online peer feedback and get more active in such a practical activity, instructors must provide explicit guidance.","PeriodicalId":372816,"journal":{"name":"2022 4th International Conference on Computer Science and Technologies in Education (CSTE)","volume":"36 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122736397","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}
{"title":"The Practice of Literature Knowledge Mining and Analysis Management for Improving Students' Information Literacy","authors":"Bingshu Wang, Wenjie Liu, Yan Dong, Zhaofeng Luo","doi":"10.1109/CSTE55932.2022.00044","DOIUrl":"https://doi.org/10.1109/CSTE55932.2022.00044","url":null,"abstract":"With huge amount of information emerging every day, it brings challenges to advanced undergraduate students and junior postgraduate students. Actually, those students have different levels of information literacy due to the diversity of students' backgrounds. To improve students' information literacy, this paper designs a course, which puts it into practice by a class of software engineering major. The course structure consists of three parts that aims to improve students' three abilities: learning ability, academic research ability, and innovation ability. For learning ability, multiple usages of searching engines are added to help develop their search quotient. For academic research ability, how to search in many databases and how to manage the literatures are important issues. For innovation ability, how to evaluate innovations and how to manage one's inspirations are included. These three abilities are trained by project assignment that is required in a limited time. A questionnaire is carried out to obtain the feedbacks of participants. The results shed light on that the design of our course achieves good results with high satisfaction degree. It shows that the proposed course structure is very welcome and it has promising applications in other majors.","PeriodicalId":372816,"journal":{"name":"2022 4th International Conference on Computer Science and Technologies in Education (CSTE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124526941","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}
{"title":"Exploring the Influence of an Immersive Virtual Reality Environment on Training Pre-service Teachers' Inquiry-based Instruction","authors":"Mingli Yang, Xin Yan, Qi Zhang","doi":"10.1109/CSTE55932.2022.00020","DOIUrl":"https://doi.org/10.1109/CSTE55932.2022.00020","url":null,"abstract":"Virtual reality has the great potential to be used in education and specially in teacher training. This paper described an experiment to examine the influence of VR environment on pre-service teachers' training on inquiry-based instruction. The instructors guided pre-service teachers to follow the principle of inquiry-based instruction and conducted teaching activities in the virtual system. Through qualitative data analysis, the results reveled that the pre-service teachers' performances of using inquiry-based instruction could be effectively improved in the immersive VR environment. However, challenges also emerged during the training. Discussion and implications were addressed in this study.","PeriodicalId":372816,"journal":{"name":"2022 4th International Conference on Computer Science and Technologies in Education (CSTE)","volume":"48 11","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132623953","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}