2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)最新文献

{"title":"An End-to-End Data Pipeline for Managing Learning Analytics","authors":"Juan Carlos Farah, Joana Soares Machado, Pedro Torres da Cunha, Sandy Ingram, D. Gillet","doi":"10.1109/ITHET50392.2021.9759783","DOIUrl":"https://doi.org/10.1109/ITHET50392.2021.9759783","url":null,"abstract":"Despite the importance of learning analytics in digital education, there is limited support for researchers in education to generate, access, and share experimental data while complying with ethical and privacy legislation. We propose a set of related tools that support researchers with these tasks and present a blueprint for how these tools can be integrated with existing platforms, enabling researchers to run studies within learning environments, adhere to legal and ethical privacy frameworks, and share their anonymous or anonymized data with a wider audience. We demonstrate the integration of these features into an existing online learning platform.","PeriodicalId":339339,"journal":{"name":"2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130623634","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":"LORA: Novel Learning Outcome Modelling Tools and Techniques for Higher Education","authors":"Aqeel Zeid, Hasna Anees, Mohamed Adheeb, Mohamed Rifan, Kalpani Manatunga","doi":"10.1109/ITHET50392.2021.9759777","DOIUrl":"https://doi.org/10.1109/ITHET50392.2021.9759777","url":null,"abstract":"To achieve constructive alignment in a higher education program, a clear set of learning outcomes must be defined. Traditional learning outcome definition techniques such as Bloom”s taxonomy are not written to be utilized by the student. This might be disadvantageous for students in student-centric learning settings where the students are expected to formulate their own learning strategies. To solve the problem, we propose the new Learning Outcome Relation and Aggregation (LORA) model. To achieve alignment, we developed learning outcome, assessment, and resource authoring tools which help teachers to tag learning outcomes during creation. A pilot study was conducted with an expert panel consisting of experienced professionals in the education domain to evaluate whether LORA model and tools present an improvement over the traditional methods. The panel unanimously agreed that the new model and tools are beneficial and effective. Moreover, it helped them model learning outcomes in a more student-centric and descriptive way. Another pilot study was conducted among 20 students to evaluate the new learning outcome structure which also yielded positive results. Majority of the students found the new learning outcome structure better suited for self-learning than the traditional learning outcome definition methods.","PeriodicalId":339339,"journal":{"name":"2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127663283","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":"Promoting STEM Learning through an Interdisciplinary Video Project","authors":"Cuilan Wang, Qing Shao, Xiaoping Li, Weidong Mao, Lee Ann Roberts","doi":"10.1109/ITHET50392.2021.9759770","DOIUrl":"https://doi.org/10.1109/ITHET50392.2021.9759770","url":null,"abstract":"The growing use of Web 2.0 and digital media technologies along with the easy access to mobile devices, has offered educators a unique opportunity to engage students in learning STEM content by having them generate their own videos. Actively designing and creating their own videos with blended media to represent and explain the concepts in multiple ways not only helps students understand the concepts, but also increases their interests in learning. In this interdisciplinary research project, the students from a science class collaborated with students from a Digital Media class to create educational videos to explain science concepts. The science students designed the content of the video, while the Digital Media students implemented the video. This paper also presents different strategies to create educational videos for different courses based on the natural characteristics of each course. Statistical analysis has been conducted to assess the effectiveness of the project on student learning and the development of STEM competencies. The results indicate that this project fosters learning, increases interest, improves students' ability to communicate STEM content, and promotes the development of students' technological skills.","PeriodicalId":339339,"journal":{"name":"2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124811692","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":"Estimating Ability of Programming Skills using IRT based Peer Assessments","authors":"M. Nakayama, Masaki Uto, M. Temperini, F. Sciarrone","doi":"10.1109/ITHET50392.2021.9759571","DOIUrl":"https://doi.org/10.1109/ITHET50392.2021.9759571","url":null,"abstract":"Here we analyze data coming from several peer assessment activities, conducted in the framework of a course on basics in Computer Science, for an undergraduate program in Computer Engineering. The peer assessment data are basically the grades given by the peers to the artifacts produced by other peers, while accomplishing a task related to Computer Programming. We analyze the experimental data using an item response theory (IRT) based generalized many-facet Rasch model (GMFRM). Though the peer ratings in five separated sessions of peer assessment were sparse (due to unstable - non mandatory - participation in the activities), the estimated ability and rating characteristics for all participants were extracted. The estimated ability strongly correlates with teacher's rating of the artifacts, and with the final grade obtained by the students in a separate final examination.","PeriodicalId":339339,"journal":{"name":"2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)","volume":"96 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122028196","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":"Robot Kits in Primary Informatics Education - What Should Future Teachers Know?","authors":"Karolína Miková, Lucia Budinská","doi":"10.1109/ITHET50392.2021.9759601","DOIUrl":"https://doi.org/10.1109/ITHET50392.2021.9759601","url":null,"abstract":"In the last years, many robot kits for children were introduced. They can be used as an introduction to programming when pupils can learn many computing concepts - as a part of informatics or in STEAM subjects. But not many of the kits are suitable for education, some of them are not age-appropriate others can be used only for small tasks only or have a steep learning curve. In this paper, an analysis of 8 robot kits was performed. All of the kits can be used with pupils from 3 to 12 years old. In the analysis, the main focus was on interactivity (which is specific to robotic programming compared to basic text or visual programming languages) and programming concepts (what can pupils learn from programming) and a robot movement. The robot movement is an area in between the programming and interactivity because when children program the movement of a robot, they need to think about its interaction with the environment it is in. This analysis was carried out to help create the content of the Educational Robotics course at the university for students of computer science teaching,","PeriodicalId":339339,"journal":{"name":"2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)","volume":"30 11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126173287","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":"Strengths and threats of pervasive information technologies: effect on engineering higher education","authors":"O. Bonnaud","doi":"10.1109/ITHET50392.2021.9759773","DOIUrl":"https://doi.org/10.1109/ITHET50392.2021.9759773","url":null,"abstract":"The emergence of information technology has changed our habits and approaches, both professionally and in terms of our individual and societal lives. The presence of the Internet and connected objects is multiplying at very high speed. They apply to all sectors of activity of our societies. This evolution has been made possible thanks to the continuous improvement of microelectronic technologies which constitute the physical support of all the objects concerned that create, process, transmit and store signals and data. The consequences are numerous, including the opening up of the microelectronics discipline towards application fields, the emergence of new major challenges linked on the one hand to the power consumption of systems that process more and more data, and on the other hand to the need for human skills capable of meeting technical and technological challenges. This article thus presents the various facets of the diffusion of technologies to other fields, which constitute an appreciable strength, but also the threats to be overcome, related to limitations and challenges.","PeriodicalId":339339,"journal":{"name":"2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114678752","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":"Investigating Learning Experience of MOOCs Learners Using Topic Modeling and Sentiment Analysis","authors":"Siri Amanda Rääf, Johanna Knöös, F. Dalipi, Zenun Kastrati","doi":"10.1109/ITHET50392.2021.9759714","DOIUrl":"https://doi.org/10.1109/ITHET50392.2021.9759714","url":null,"abstract":"Many higher education institutions in the world have switched to online learning due to the ongoing COVID-19 pandemic, which also has greatly contributed towards an increase of MOOCs enrollments across various disciplines. There are many factors that can influence the learning trajectory in MOOCs settings, and in order to gain a deeper understanding of learners' experience, we employ a quantitative research method, in which sentiment analysis and topic modeling are applied. In this perspective, learners' reviews from the learning platform Coursera are examined to identify the main topics associated with the course and the learners' attitudes and opinions towards these topics. For this purpose, a total of 28,281 reviews scraped from five courses within the field of data science are analyzed, and consequently nine course topics for which learners have commented on are found. The identified topics include: content, delivery, assessment, learning experience, tools, video material, teaching style, instructor skills and course provider. Next, each topic is assigned a sentiment score using a lexicon-based approach, and the topics which mostly affect the learning experience are finally determined and discussed.","PeriodicalId":339339,"journal":{"name":"2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121865210","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":"Use of IT in Higher Education and Training - Social learning through outdoor quiz game app","authors":"L. Kiønig, T. Vold, Ole Jorgen S. Ranglund, V. Trajkovik, Maja Videnovik, R. Braun","doi":"10.1109/ITHET50392.2021.9759410","DOIUrl":"https://doi.org/10.1109/ITHET50392.2021.9759410","url":null,"abstract":"Learning in higher education is no longer by listening to a professor and handing in assignments. At the Inland Norway University of Applied Sciences, the Knowledge Management (KM) study programme has been developed over several years. From introducing Flipped Classroom, the development has been to make the students develop their own assignments based on the issues of KM they are able to unveil at their own workplaces. The practice on this is done by working to develop short cases to solve in the classroom rather than giving lectures. The lectures over the textbook and curriculum are provided by streaming video and podcasts and the students are encouraged to download and watch/listen prior to the seminars. A short introduction is provided at the start of the seminars, but not as elaborated as in the videos and podcasts. The students tend to stay indoors and work. To investigate how breaking up the indoor stay and to continue the learning process during a “break” outside, we have developed quizzes from the curriculum. They have to download an app and in groups solve the quizzes that pop up when they close in on the designated area on the map in the app. In the app, the areas are marked by icons in the shape of berries (blueberry, raspberry, cloudberry, etc.) on a map. They have to go to the area in order for the quiz to appear. The quizzes are up to now developed by the lecturers. The students have during the Covid-19 pandemic been working in solitude and thus lost the important factor of social learning. Attempts to make the students work in group have only to a certain extent been successful. As well as “black screens”, the number of students “fading out” when trying to divide the students into “breakoutrooms”, to support the social learning processes, are too high. Encouraging the students to go outside and work in groups to solve the quizzes allow the student to also discuss other issues than just the curriculum, and to get to know each other outside the classroom. The data are collected our data through in-depth interviews and group interviews with the students. The collected data will show how the students perceive a) to work on the quiz, b) to solve the quiz, c) to work in groups outside the classroom and how this support a) their learning outcome and b) their social learning situation.","PeriodicalId":339339,"journal":{"name":"2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122442724","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":"An Analysis of Tweet Relevance, Twitter Activity and Student Preferences for Universities","authors":"Ilker Cingillioglu, Uri Gal, Artem Prokhorov","doi":"10.1109/ITHET50392.2021.9759728","DOIUrl":"https://doi.org/10.1109/ITHET50392.2021.9759728","url":null,"abstract":"Due to Covid-19 outbreak the competition for attracting new students to university programs has never been as technologically intense as it is now. Accordingly, the researchers in this study utilized Neural Network, Logistic Regression and Linear Term Counting algorithms to distinguish relevant tweets from irrelevant ones in terms of building-up and promoting the brand of universities to attract prospective students. Human subjects were used as Gold Standards to measure the accuracy of machine learning predictions. After collecting over half a million tweets that mention the full names of the universities in the Australian Capital Territory and New South Wales between 2017 and 2021, researchers found out that the total count of tweets and global ranking of universities were positively associated with student preferences for these universities and this association was strengthened by the status of their Group of Eight membership.","PeriodicalId":339339,"journal":{"name":"2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131279352","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 importance of mentorship to enhance online learning and teaching in higher education in the COVID-19 era: a comprehensive literature review","authors":"Domingos Mondego, E. Gide","doi":"10.1109/ITHET50392.2021.9759747","DOIUrl":"https://doi.org/10.1109/ITHET50392.2021.9759747","url":null,"abstract":"Mentorship is the process of sharing knowledge among professionals. In academia, mentorship means training teachers to acquire new techniques to improve overall teaching skills. In other words, mentorship can help teachers to teach better. Previous studies have pointed out that many doctoral students have a limited online teaching experience in a higher education environment. Besides, in the wake of COVID-19, as universities worldwide were forced to move their lessons to online mode, lecturers have had to adapt to this new reality. Hence, the aim of this study is to provide a literature review on how mentorship can be used in higher education for training and improving learning and teaching skills among doctoral students. The literature findings of this study will provide new insights in the field as well as it will contribute to the current knowledge on the subject matter.","PeriodicalId":339339,"journal":{"name":"2021 19th International Conference on Information Technology Based Higher Education and Training (ITHET)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125216166","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}