Yi Xuan Chia, Kai Heng Loh, Zhen Yu Brandon Ong, Jun Xian Lim, Jun Kai Ooi, Qi Cao, P. Yau, Li Hong Idris Lim
{"title":"Sentiments Analysis and Feedback among Three Cohorts in Learning Software Engineering Modules","authors":"Yi Xuan Chia, Kai Heng Loh, Zhen Yu Brandon Ong, Jun Xian Lim, Jun Kai Ooi, Qi Cao, P. Yau, Li Hong Idris Lim","doi":"10.1109/TALE54877.2022.00025","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00025","url":null,"abstract":"Computing Science (CS) and software programming skillsets are widely used in many fields. The acquisition of software engineering skills is important and crucial to prepare students for the software industry. Learning of professional software development (PSD) knowledge involves various educational approaches. This study examines the feedback in students’ learning journey and preparedness for the industry across three years of the CS degree programme. The research is carried out to evaluate the current bottlenecks of learning in the PSD course. Surveys are conducted to collect feedback of 72 CS students from three different cohorts, namely freshmen, penultimate and final study year. Their sentiments are identified and analyzed using the quantitative and qualitative data gathered. Observed from the results obtained, most of the final year students have perceived attainment of favourable skills needed for the industry, after their internship experience where they applied their skillsets. A significant rise in positive sentiments from graduating students suggests that the PSD module taught is relevant and applicable for the software industry. However, the sentiments among the penultimate year students are different and show that there might be an issue with the current course delivery, which needs to be improved. In addition, this paper suggests possible improvement opportunities that could be explored by eliciting current challenges faced in the current syllabus. These include the specification variances for projects, timely introduction of topics, flexibility in marking rubrics, and introduction of in-demand practices.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"7 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":"121255170","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 Life-Development Game for Thai First-Year Engineering Students","authors":"Panot Gunavaddho, Patiphol Bhurimedho, Supapong Areeprasertkul, Korphob Tuangtaweesub, Sirikanya Phongtongjalearn, Kannika Swanpotipan, Thanyarat Singhanart, K. Maneeratana","doi":"10.1109/TALE54877.2022.00044","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00044","url":null,"abstract":"This paper presented a learning model for the life goal and development in a general education course for engineering students. The learning was based on the Buddhist concept of holistic life development. The instruction model was based on an online game and a discussion session. Every student made one’s own decision on each step of one’s life from entering an undergraduate program through a decade of professional practice. The game was used as the opening activity for further discussions and Buddhist-style counseling with the aim of deep learning from self-investigation and reflection. The instruction was designed, implemented, and led by Buddhist monks who had practiced as registered engineers; the monks used their experiences to simulate scenarios, choices, and dilemmas that engineers might encounter during professional practices in Thailand. The outcome was achieved via internal reflection and consolidation of life values and decisions, individually. Students expressed good reception for the topics and the activities.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"14 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":"131502269","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":"Introductory Education for IoT Technology for First-Year Students","authors":"Satoru Izumi, Kentaro Sato, Akiko Takahashi, Shinji Chiba","doi":"10.1109/TALE54877.2022.00125","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00125","url":null,"abstract":"In Internet of Things (IoT) systems, various sensors are used to measure real-world phenomena and analyze the measured data to provide valuable services. In this paper, we develop educational materials for students to understand the principles and mechanisms of sensors, which are the basis of IoT systems, using sensors to measure and analyze familiar physical phenomena. Students experience how simple physical phenomena can be automatically measured using sensors and tablets. As a result, students learn to use sensors and applications that measure sensor data.","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":"128945542","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}
King Woon Yau, C. Chai, Thomas K. F. Chiu, Helen M. Meng, I. King, S. Wong, Chandni Saxena, Y. Yam
{"title":"Developing an AI literacy test for junior secondary students: The first stage","authors":"King Woon Yau, C. Chai, Thomas K. F. Chiu, Helen M. Meng, I. King, S. Wong, Chandni Saxena, Y. Yam","doi":"10.1109/TALE54877.2022.00018","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00018","url":null,"abstract":"Artificial Intelligence (AI) education for K-12 is increasingly important as the emerging AI technologies are pervasively infused into human daily lives. Eleven countries have endorsed and implemented the AI curricula at K-12 levels [1]. The \"Five Big Ideas\" about AI, as proposed by the Association for the Advancement of Artificial Intelligence (AAAI) and the Computer Science Teacher Association (CSTA) have emerged to form the core components of K-12 AI education [2], [3]. However, the assessment of students’ learning in AI education for K-12 is still in its initial stage. Surveys and interviews are the major assessing tools based on students’ self- perceptions. Standardized tests on students’ AI literacy are still rare. This paper focuses on the first stage of an AI literacy test based on the Five Big Ideas for Grade 7 to Grade 9 students. The test aims to measure the changes of students’ AI literacy before and after attending a one-year AI course. The preliminary findings show the students have increased in their AI literacy after attending the course. The test can provide insights for understanding students’ competencies and needs in AI literacy and improving the curriculum guidelines for students’ effective learning.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"12 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":"131082581","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":"Citation Practices in Final Year Computer Science and Electrical Engineering Bachelor Theses","authors":"Bengt Gunnar Malm, Kjell Göran Hamrin","doi":"10.1109/TALE54877.2022.00019","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00019","url":null,"abstract":"This study investigates the citation practices of electrical engineering (EE) and computer science (CS) bachelor students. A citation category based coding scheme for content analysis was developed to study the academic writing genre, represented by final year thesis reports. The academic writing skill-set displayed by CS and EE bachelor students was gauged by interpretative content analysis of a corpus of full-text theses, retrieved from a university repository. Two research questions were addressed: 1) what are the citation practices, employed by two cohorts of final year bachelor students, in electrical engineering and computer science? 2) what use of academic writing genre conventions can be quantified through interpretative content analysis? The intention of the study was to categorize the purposes behind citation use in bachelor level theses. Both student cohorts displayed an exaggerated use of citations, deviating from fully mature academic writing practices in the CS and EE fields. Many factual statements of a general nature were supported by multiple and weakly motivated instances of citations to a limited set of sources. An apparent genre convention was to cite sources mainly in text segments of introductory or survey character. Hence the investigated bachelor level theses made little use of citations to support the choice of research question, method or in critical discussion of results.","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":"130953414","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":"Developing a system to increase motivation and engagement in student code peer review","authors":"M. B. Ada, Mohammad U. Majid","doi":"10.1109/TALE54877.2022.00023","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00023","url":null,"abstract":"This paper describes a system that aims to provide course instructors with the capability to create and conduct formative and summative peer code review exercises for their students. It also aims to improve student engagement with the review process and motivation to achieve better learning. It enables students to rate the reviews they receive, thus providing feedback to the reviewer. The system awards badges to students for completing reviews and high-quality reviews. The preliminary user evaluation of the prototype was very positive.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"23 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":"133066969","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":"Develop Design Thinking in Interaction Design Course by Applying Problem-based Learning Model","authors":"Lin Lin","doi":"10.1109/TALE54877.2022.00034","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00034","url":null,"abstract":"The new industrial design field is growing into a highly comprehensive and integrated discipline, which puts design thinking as a requirement for interaction design students. This paper focuses on how to use Problem-based Learning (PBL) in teaching interaction design to help undergraduates develop design thinking. Design thinking is a collaborative problem-solving and human-centred approach that promotes innovation by enhancing the creative thinking abilities of participants. PBL provides a learning model where students start from the problem, learn to grasp the key of the question, and propose solutions, thus effectively cultivating comprehensive ability and developing design thinking throughout the course. The purpose of this paper is to explore the PBL teaching method for undergraduates majoring in interaction design. We made corresponding teaching designs, reflected on strategies that could be improved in the curriculum, and discussed the possibilities and challenges of PBL curriculum development.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"7 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":"131663296","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}
Minjie Hu, Tony Assadi, M. Vos, Hamidreza Mahroeian
{"title":"Evaluation of Strategies for Teaching Programming in the First-year Degree Students During the COVID-19 Pandemic","authors":"Minjie Hu, Tony Assadi, M. Vos, Hamidreza Mahroeian","doi":"10.1109/TALE54877.2022.00088","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00088","url":null,"abstract":"During the COVID-19 pandemic, the conventional teaching and learning environment was dramatically changed. As a result, it is critical for us to evaluate and adapt to new teaching strategies. This research attempted to build appropriate teaching strategies to meet various learning styles and provide cultural support. To evaluate our framework with culturally supported teaching strategies, we surveyed 37 students including an indigenous group of seven students. The students were all enrolled in our first-year programming course during the COVID-19 pandemic between 2020 and 2022. The findings show that our framework provides positive support to students’ learning. The contribution of this research is that to successfully teach first-year programming need to maintain our professional proficiency and provide care and support to all learners.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"26 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":"131670474","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":"Integration of Player Experience for the Acceptance Model of Science, Technology, Engineering and Mathematics Digital Educational Games","authors":"Husna Hafiza Razami, Roslina Ibrahim","doi":"10.1109/TALE54877.2022.00107","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00107","url":null,"abstract":"Despite the acknowledged potential of digital educational games (DEG) such as for learning science, technology, engineering and mathematics (STEM), this instructional tool has yet to receive widely acceptance and usage. There is also a lack of comprehensive acceptance models to predict DEG acceptance in existing studies. Since DEG involve a complex design which requires a well-balanced of learning and entertainment features that fulfil target user needs, this study proposes an acceptance model that integrates player experience (PX) components which are important game characteristics for a successful DEG. From the analysis of past studies, the proposed model which is based on unified theory of acceptance and use of technology (UTAUT) comprises 13 independent variables of students’ intention to use DEG namely performance expectancy, effort expectancy, social influence, learning relevance, attractiveness, enjoyment, challenge, clear goal, learning control, social interaction, feedback, concentration, and immersion. In addition, the effect of three moderators including gender, digital game experience and, adopter categories on the proposed variables will also be investigated.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"35 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":"114335759","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":"Light Field Technology Induced Variable Depth of Field for the Enhancement of Photography Learning","authors":"Adabella Alda, Vera Chung, Xiaoming Chen","doi":"10.1109/TALE54877.2022.00121","DOIUrl":"https://doi.org/10.1109/TALE54877.2022.00121","url":null,"abstract":"While learning photography, learners, especially beginners usually encounter difficulties, such as realizing the depth of fields (DoFs) and/or selecting a good shooting angle. The emergence of Light Field Technology (LFT) offers a new possibility to address the above problems. The unique imaging principle of LFT enables the reconstruction of the scene to be captured with dynamic visual effects including dynamic depth of focus and dynamic viewing parallax. In photography, the dynamic depth of focus by LFT can be utilized to simulate the variable DoFs and the dynamic viewing parallax can be employed to simulate alternative shooting angles. In this research, we established a virtual environment for photography learning by utilizing the above-mentioned dynamic visual effects with real-time gesture interaction. A user study was conducted to evaluate the learning efficiency of the learners in our virtual learning environment, the results reveal that these learners show higher learning efficiency than the learners in the control group.","PeriodicalId":369501,"journal":{"name":"2022 IEEE International Conference on Teaching, Assessment and Learning for Engineering (TALE)","volume":"12 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":"116027990","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}