{"title":"Cold Calls to Enhance Class Participation and Student Engagement","authors":"M. Thulasidas, A. Gunawan","doi":"10.1109/TALE54877.2022.00122","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00122","url":null,"abstract":"The question whether cold calls increase student engagement in the classroom has not been conclusively answered in the literature. This study describes the automated system to implement unbiased, randomized cold calling by posing a question, allowing all students to think first and then calling on a particular student to respond. Since we already have a measure of the level of student engagement as the self-reported class-participation entries from the students, its correlation to cold calling is also further studied. The results show that there is a statistically significant increase in the class participation reported, and therefore in student engagement, in the course for which the cold-calling system was implemented. Finally, along with the conclusions, the future plans and the limitations of this study are explained.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128877431","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 Effect of PBL on College Students’ Learning Motivation of Dynamics Course","authors":"Shyh-Chour Huang","doi":"10.1109/TALE54877.2022.00040","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00040","url":null,"abstract":"The key to students’ learning motivation is whether students are motivated and willing to engage in learning. Teachers need to think about how to improve students’ internal and external learning motivation strategies and classroom participation, so that students are willing to actively learn to achieve teaching and learning goals. This study mainly focuses on the research on the teaching action of the practical PBL teaching method in the dynamics course in the engineering field. The research results of this study found that the introduction of PBL into the dynamics course to analyze the learning outcomes of students, the students’ willingness to actively study was enhanced, they were able to actively seek dynamic-related practical situational issues, their problem-solving ability was also improved, and the interaction between teachers and students was improved.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122352561","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":"A Recommendation on How to Teach K-Means in Introductory Analytics Courses","authors":"M. Thulasidas","doi":"10.1109/TALE54877.2022.00016","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00016","url":null,"abstract":"We teach K-Means clustering in introductory data analytics courses because it is one of the simplest and most widely used unsupervised machine learning algorithms. However, one drawback of this algorithm is that it does not offer a clear method to determine the appropriate number of clusters; it does not have a built-in mechanism for K selection. What is usually taught as the solution for the K Selection problem is the so-called elbow method, where we look at the incremental changes in some quality metric (usually, the sum of squared errors, SSE), trying to find a sudden change. In addition to SSE, we can find many other metrics and methods in the literature. In this paper, we survey several of them, and conclude that the Variance Ratio Criterion (VRC) is an appropriate metric we should consider teaching for K Selection. From a pedagogical perspective, VRC has desirable mathematical properties, which help emphasize the statistical underpinnings of the algorithm, thereby reinforcing the students’ understanding through experiential learning. We also list the key concepts targeted by the VRC approach and provide ideas for assignments.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132680580","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":"DIVE: Make Online Learning Diversified, Interactive, Versatile, and Engaging","authors":"Chung Chan, Assan Kozhin, Qihang Liang, Glenn Salter, Ruoqin Tang, Chunxiao Ye, Chao Zhao","doi":"10.1109/TALE54877.2022.00085","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00085","url":null,"abstract":"As university courses move online due to the pandemic, resources for face-to-face teaching become ineffective or unusable. Especially for computer science courses requiring a complicated setup, students may not be able to access the computer labs nor receive immediate guidance. To help students dive into a discovery-enriched curriculum without getting lost, we successfully developed effective courseware for various online courses and workshops to provide a diversified, interactive, versatile, and engaging (DIVE) virtual learning environment. By integrating and enhancing tools such as interactive notebook, docker, and git, students can easily reproduce the environment in a web browser, share GPU resources, interact with the lecture materials, submit lab assignments for auto-grading, collaborate on group projects with proper version control, and receive instant automated feedback as well as detailed guidance from instructors.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130809931","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}
Han-Jong wan, Hongzhen Luo, Zihao Zhong, Jianlei Yang
{"title":"Exploring the Factors of Students’ Online Learning Based On Structural Equation Modeling","authors":"Han-Jong wan, Hongzhen Luo, Zihao Zhong, Jianlei Yang","doi":"10.1109/TALE54877.2022.00075","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00075","url":null,"abstract":"Due to the COVID-19 pandemic, traditional teaching has been migrated online. Different from traditional face-to-face teaching, when students learn online, the online learning platform will generate various data. And these data make it possible for us to analyze students’ final academic performance. In this paper, we use structural equation modeling (SEM) to analyze the relationship between students’ learning factors. It is found that students’ lab scores (LS), exercise scores (LS) and participation in the discussion (PID) have a direct impact on their final programming scores (FPS). This paper also finds that students’ assignment submissions have an indirect influence on their final programming scores (FPS) but have a direct effect on lab scores (LS). In addition, students’ participation in the discussion (PID) has an indirect influence on assignment submissions (AS) and lab scores (LS). The research in this paper can provide instructional designers with references for instructional design.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"130 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117203261","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}
Shurui Bai, K. Hew, Shuhang Zhang, Weijiao Huang, D. Gonda
{"title":"Examining Effects of Science Flipped Classrooms A Meta-analysis","authors":"Shurui Bai, K. Hew, Shuhang Zhang, Weijiao Huang, D. Gonda","doi":"10.1109/TALE54877.2022.00053","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00053","url":null,"abstract":"This paper analyzed science flipped classroom studies in K-12 and higher education settings. In this review, we examined the overall effects of the flipped classroom on students’ cognitive learning outcomes compared to non-flipped classroom in science education. We identified the pre-and in-class activities that help enhance students’ cognitive learning outcomes. This meta-analysis contains 45 comparison studies and indicates an overall significant medium effect favoring the flipped classroom than the non-flipped classroom regarding students’ cognitive learning outcomes (Hedge’s g = 0.53, SE = 0.09, p < .001, 95% CI [0.36, 0.71]). However, due to potential publication bias, after trim-and-fill the overall mean effect size adjusted from 0.53 to 0.15. Based on the moderator analysis results, it is shown that providing multimedia in learning, in-class review, and in-class individual activities have a larger effect size in enhancing students’ cognitive learning outcomes. We then proposed three practices to guide teachers in implementing these activities accordingly.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"201 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131260588","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}
Maki Arame, Junko Handa, Yoshiko Goda, M. Toda, M. Itoh, S. Kitazaki
{"title":"Development of a Short-Form Career Resilience Inventory for Online learning: Verification based on analysis results of online learning","authors":"Maki Arame, Junko Handa, Yoshiko Goda, M. Toda, M. Itoh, S. Kitazaki","doi":"10.1109/TALE54877.2022.00106","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00106","url":null,"abstract":"This research aims to develop a short-form Career Resilience inventory for online learning targeting users of various demographic such as genders and educational backgrounds. Career Resilience is reported to have significant effects on education. Furthermore, Career Resilience could be used as a predictor of adaptive learning, and there is increasing demand for simple and efficient ways to determine Career Resilience. The index of Career Resilience, which is based on the Kodama (2015) model, includes 34 item questions in five dimensions. In this study, developing a short form consisting of 14 items and 5 factors, and not only maximized the internal consistency of the reconstructed items, but also compared the effects on online learning by logistic regression analysis and decision tree analysis.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128309505","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":"On the Problems and Optimization of Curriculum Arrangement in China’s Universities","authors":"Mei Tong, Ya Ming Xie, G. Wan","doi":"10.1109/TALE54877.2022.00138","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00138","url":null,"abstract":"With the development of science and technology, the knowledge of different disciplines is constantly updated, and the software and hardware systems are also continuously improved. At present, the teaching mode of China’s universities needs to be changed so as to meet the requirements of high- quality teaching in the new era. This paper mainly analyzes the problems existing in the current curriculum arrangement of China’s universities, including outdated curriculum contents, lack of high-quality practical projects, poor connectivity of different curriculums, etc., and puts forward solutions to these problems. It can provide a reference for optimizing the curriculum system in the teaching reform.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134631095","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":"Work-in-Progress—Domain Usefullness Experience (DUX) for LIVE-Tutor Development","authors":"Brad Thompson","doi":"10.1109/TALE54877.2022.00144","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00144","url":null,"abstract":"Usefulness is defined as the combination of usability with utility, and can be evaluated in the same ways as usability. A novel set of heuristics for the evaluation of usefulness is applied to a recently minted software domain definition: LIVE-Tutor. These usefulness heuristics are derived and validated according to a slightly modified version of a prescribed methodology for generating domain specific usability heuristics. These modifications, such as pairing associated development guidelines with the heuristic set to define the domain in terms of \"how\" to best produce applications for it, are suggested enhancements for this and other methodologies. We conducted a pilot user study to evaluate a prototype application built for the target domain by applying the first iteration results. A set of general usability heuristics was used as a control group to compare with the experimental set. This study included an added innovation: integration of evaluation tasks into the application interface to facilitate capture, logging, and reporting of results for immediate analysis. Other session analytics (such as learning-gain) were likewise generated from data logged to the application database, in order to ascertain the pedagogical utility of the application.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"23 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114046024","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":"Research on the Academic Ability Evaluation Scale of Industrial Design Graduate Students from the Perspective of Interdisciplinary Education","authors":"Fuyao Ren, Ling Gang, Jinjun Xia, Yuhang Li","doi":"10.1109/TALE54877.2022.00091","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00091","url":null,"abstract":"The development of social science and technology has promoted the integration and intersection of the original knowledge of different disciplines, making interdisciplinary education a trend in college reform and talent training. Design talents are no exception. For example, the training of industrial design graduate students is increasingly emphasizing their comprehensive quality and compound ability. Among them, academic ability, as the core quality of students, is the first point to test students’ scientific research level and innovation ability. Therefore, in order to improve the current situation of outdated design education curriculum system, traditional teaching methods, and lack of knowledge integration, it is first necessary to deeply understand the composition of academic ability of graduate students in this field. This research focuses on the evaluation of the academic ability of industrial design graduate students. Through expert surveys and questionnaires, the standard of data academic ability of graduate students is constructed. From problem awareness, literature ability, logical reasoning, language expression, organizational management, psychological coping, scientific research innovation and insight ability The postgraduate academic ability test scale is compiled at the same level to provide an objective evaluation tool for comprehensively measuring the academic ability level of postgraduates. See the micro-knowledge, and strive to provide a corresponding reference for the training and education of industrial design talents in my country with objective and comprehensive analysis data.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"262 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122863598","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}