{"title":"Research on Multimodal Affective Computing Oriented to Online Collaborative Learning","authors":"Jinpeng Yang, Yaofeng Xue, Zhitong Zeng, Wei Guo","doi":"10.1109/ICALT.2019.00045","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00045","url":null,"abstract":"Analyzing the emotion interaction of online collaborative learning, this paper proposes a multimodal affective computing model combined with the logical function. The framework of an affective computing is designed, which includes several modules for collection, processing, analysis and visualization of data, sentiment classification and feedback. Finally, the feasibility and validity of the prototype system is verified.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129081141","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}
R. Manrique, B. Nunes, O. Mariño, Nicolás Cardozo, S. Siqueira
{"title":"Towards the Identification of Concept Prerequisites Via Knowledge Graphs","authors":"R. Manrique, B. Nunes, O. Mariño, Nicolás Cardozo, S. Siqueira","doi":"10.1109/ICALT.2019.00101","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00101","url":null,"abstract":"Learning basic concepts before complex ones is a natural form of learning. This paper addresses the specific problem of identifying concept prerequisites to inform about the basic knowledge required to understand a particular concept. Briefly, given a target concept c, the goal is to (a) find candidate concepts in a Knowledge Graph (KG) that serve as possible prerequisite for c; and, (b) evaluate the prerequisite relation between the target and candidates concepts via a supervised learning model. Our approach explores the DBpedia Knowledge Graph and its semantic relations to find candidate concepts as well as a pruning step to reduce the candidate concept set. Finally, we employ supervised learning algorithms to evaluate and generate a list of prerequisites for the target concept. A ground truth created based on expert knowledge is used to validate our approach, exhibiting promising results with a precision varying between 83% and 92.9%.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124937451","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":"Predicting Students' Involvement in Blended Learning Environment","authors":"S. Tikadar, S. Bhattacharya","doi":"10.1109/ICALT.2019.00026","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00026","url":null,"abstract":"It is very important to know students' involvement in the classroom. Nonetheless, it becomes challenging for a teacher to predict the same in real-time, particularly when the classroom is large. Assuming blended learning platform in BYOD paradigm of teaching-learning process, we propose a method to systematically predict students' involvement in the classroom without using the privacy sensitive data. Initial observations indicate that it is possible to predict students' involvement from their device handling pattern and resource utilization while interacting with the devices.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"56 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114260705","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 Visualization Tool for Analyzing an Assembly Training in VR","authors":"Ronak Etemadpour, O. Kozlenko, Prateek Dwivedi","doi":"10.1109/ICALT.2019.00060","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00060","url":null,"abstract":"The objective of this research is to develop a web-based visualization tool that is used for analyzing an assembly in a Virtual Reality (VR) environment. As a case study, we have generated a virtual reality environment for an assembly simulation of a zero-G treadmill for use on spacecraft. A series of controlled user studies has been done to investigate the role of different visual cues (image and text) on user performance while performing manual assembly in an immersive VR setting (VIVE headset) and a non-immersive environment (desktop). However, this paper focuses on a visualization tool that will help to understand and explore VR data. The goal of the tool is to support interactive analytic process of data collected from the assembly planning of complex systems.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133598908","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 and Development of 3D Modeling Course Based on Design Thinking","authors":"Peng Lu, Yaofeng Xue, Yanyan Niu, Haobin Zhu","doi":"10.1109/ICALT.2019.00078","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00078","url":null,"abstract":"The high school information technology course is the basic course for cultivating talents in the information age. It is of great significance to study the cultivation of students' design thinking ability in the high school information technology course. As a new concept, method and strategy framework, design thinking conforms to the current world's training needs for innovative talents. Inventor as a popular 3D CAD software, with its unique 3d simulation design function is increasingly favored by primary and secondary schools. This paper introduces the status of and design thinking, expounds the teaching process based on design thinking, designs and develops the Inventor 3d modeling course framework for middle school students. Then carries out teaching practice in a middle school in Shanghai, and finally analyzes the learning effect of students through questionnaires.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"154 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133914663","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}
Ronak Etemadpour, Yongcheng Zhu, Qizhi Zhao, Yilun Hu, Bohan Chen, Mohammed Asif Sharier, Shirong Zheng, J. G. Paiva
{"title":"Academic Performance Analysis Supported by a Web-Based Visual Analytics Tool","authors":"Ronak Etemadpour, Yongcheng Zhu, Qizhi Zhao, Yilun Hu, Bohan Chen, Mohammed Asif Sharier, Shirong Zheng, J. G. Paiva","doi":"10.1109/ICALT.2019.00059","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00059","url":null,"abstract":"Understanding the academic performance of students in colleges is an essential topic in Education research field. Educators, program coordinators and professors are interested in understanding how students are learning specific topics, how specific topics may influence the learning of other topics, how students' grades/attendances in each course may represent important indicators to measure their performance, among other tasks. In this paper, we present a visual analytic tool that combines data visualization and machine learning techniques to perform some visual analysis of students' data from program courses. Using this tool, we visually analyzed the students' performance in some Computer Science program courses, and demonstrated that the results of such analysis will help the education experts to understand deficiencies on course structures.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132283108","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}
Fernanda Pires, Fabio Michel Maquine Lima, Rafaela Melo, J. Bernardo, Rosiane de Freitas
{"title":"Gamification and Engagement: Development of Computational Thinking and the Implications in Mathematical Learning","authors":"Fernanda Pires, Fabio Michel Maquine Lima, Rafaela Melo, J. Bernardo, Rosiane de Freitas","doi":"10.1109/ICALT.2019.00112","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00112","url":null,"abstract":"The development of Computational Thinking has been pointed out by experts as fundamental in the lives of human beings. This article deals with the application of a game-based didactic sequence based on the fundamentals of Computer Science in a class of primary school children, to promote engagement in the development of mathematical activities and analyze the impact of the development of logical and algorithmic reasoning in the solution of mathematical problems in the classroom. The didactic sequence considered the cognitive development of the children as well as the personal evolution during the process. Preliminary results indicate that the didactic sequence had a positive impact on student learning, showing a rate of learning evolution of 18% in the test group and 5% in the control group.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114131481","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}
Rafaela Ribeiro Jardim, J. V. D. Lima, R. S. Gomes
{"title":"Learning Trajectories and Usability in a Health Care Application","authors":"Rafaela Ribeiro Jardim, J. V. D. Lima, R. S. Gomes","doi":"10.1109/ICALT.2019.00121","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00121","url":null,"abstract":"The use of mobile applications aimed at the monitoring and promotion of care has been incorporated into the routine of patients to assist in the prevention and treatment of diseases and in the maintenance of health. The use of such technologies can facilitate communication between caregivers and patients and provide greater adherence to treatments for morbidities, since long-term medical treatment generates a large flow of information that needs to be shared among the users involved. Based on this context, this project proposes to investigate how the CareTaker mobile application can promote meaningful learning for the caregiver during care per se. The main purpose of the application is to assist caregivers and patients in health promotion through planned routines, medical records, forms, and hypervideo learning resources. In order to meet the objectives and the proposed problem, a theoretical foundation will be developed relating the themes m-learning, health care and usability. The research will be of applied nature, being characterized as explanatory. Regarding technical procedures, the research can be considered experimental, with a quantitative and qualitative approach. This project will consist of two studies.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114868483","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":"Does the Course Duration Affect the Completion Rate?","authors":"J. M. C. Silva, F. Andrade, Maria Isabel Accorsi","doi":"10.1109/ICALT.2019.00009","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00009","url":null,"abstract":"This study presents the trajectory of a public educational institution in the offering of online, massive and open courses. It describes the model of the first courses offered and the factors that led to the development of a new pedagogical model. Automated tools were used to build activities and feedbacks, based on models characterized as Nano Open Online Course (NOOC). By restructuring the pedagogical model, it was possible to verify if NOOC courses have higher completion rates in comparison with traditional courses.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"146 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115740025","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}
C. Quarto, A. Busson, N. Veras, Luís Fonseca, Edson Nascimento, Magda Bercht
{"title":"A Multiagent System in Aid to the Formation of Groups for Collaborative Learning","authors":"C. Quarto, A. Busson, N. Veras, Luís Fonseca, Edson Nascimento, Magda Bercht","doi":"10.1109/ICALT.2019.00042","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00042","url":null,"abstract":"This research presents a multiagent system in aid to the optimized formation of collaborative learning groups. His theoretical-experimental research, of an interdisciplinary nature, seeks to understand how combinations of profiles of self-reported students are more adequate in promoting group learning. The methodology includes three experiments carried out in MOODLE, from which the instances of the designed system are validated. The findings in the experiments are promising towards high-performance group compositions for collaborative learning contexts.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"128 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127295648","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}