2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)最新文献

{"title":"An Investigation of the Needs on Educational Robots","authors":"Ya-Wen Cheng, Pei-Chen Sun, N. Chen","doi":"10.1109/ICALT.2017.115","DOIUrl":"https://doi.org/10.1109/ICALT.2017.115","url":null,"abstract":"Robot has been receiving increasing attention and robot in education is considered a promising aid for teaching and learning in many ways. This study attempts to investigate the need of the educational robot among six different user groups (pre-school user, primary school user, high school user, college user, adult user and elderly user). A triangulation technique was applied for cross validation, including systematic literature review, experts' interview and instructors' survey. It is expected that through this research the need of educational robot for six user groups can be clearly identified and to propose future directions for the development of educational robots.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134576741","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 Proposal to Measure Innovation and Scaling of CSCL Projects — Extension and Application of the JRC Mapping Framework","authors":"A. Harrer, Andreas Lingnau","doi":"10.1109/ICALT.2017.52","DOIUrl":"https://doi.org/10.1109/ICALT.2017.52","url":null,"abstract":"For applied research with practical CSCL scenarios there is no clear analytic-experimental approach to study changes in a changing context. We suggest and apply a method to map and visualise components that describe and measure impact and level of innovation of practical CSCL projects.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"104 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124079115","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 Degree Curricula through Mining Student Records","authors":"V. Gottin, H. Jiménez, A. Finamore, M. Casanova, A. Furtado, B. Nunes","doi":"10.1109/ICALT.2017.54","DOIUrl":"https://doi.org/10.1109/ICALT.2017.54","url":null,"abstract":"Higher Education Institutions store a sizable amount of data, including student records and the structure of a degree curriculum. This paper focuses on the problem of identifying how closely students follow the recommended order of the courses in a degree curriculum, and to what extent their performance is affected by the order they actually adopt. It addresses this problem by applying techniques to mine frequent itemsets to student records. The paper illustrates the application of the techniques for a case study involving over 60,000 student records in two undergraduate degrees at a Brazilian University.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116682584","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 Vocal Assessment Approach to Measure Elementary School Students’ Critical Thinking Skills","authors":"I-Hsiu Lin, S. Chew, N. Chen","doi":"10.1109/ICALT.2017.30","DOIUrl":"https://doi.org/10.1109/ICALT.2017.30","url":null,"abstract":"Critical thinking is among the few important skills in the 21st century, hence it is crucial that the skill is cultivated in students. Before cultivating the skill, one needs to be able to measure the level of student's critical thinking skills. Existing critical thinking skill assessments do not cater for elementary school students and are usually close-ended questions. The research's objective was to design a computer application to assess students' level of critical thinking skill by using a storytelling approach with two folk stories, with questions inserted in between to measure students' critical thinking skills. Students were required to answer these questions through voice recordings instead of writing their answers on paper. The assessment mostly consisted of open-ended questions, requiring students to share their thoughts and provide reasoning for their answers. The research also identified schools' environmental factors and students' background that affect their critical thinking skills. The results showed that schools with a different focus, students' preference in reading books and comic books, and time spent on reading comic books could affect the students' level of critical thinking.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117182802","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":"Facilitating the Open Learning and Education through Facial Analytics and Video Streaming","authors":"V. Tam, M. Gupta","doi":"10.1109/ICALT.2017.110","DOIUrl":"https://doi.org/10.1109/ICALT.2017.110","url":null,"abstract":"With the popularity of many massive online courses (MOOCs) and relevant platforms such as the Coursera, edX and Udemy, open learning and education will obviously become a very influential and significant sector in education all over the world, especially for developing countries like China and India with large population sizes and huge demands for tertiary education to develop the knowledge-based economy. Due to the potentially large class sizes for courses on an open learning platform, it can be difficult to monitor each individual or averaged performance in each open learning course, thus possibly leading to a relatively higher dropout rate at the end of the course. This is where computationally intelligent methods such as the machine learning or learning analytics techniques may help to effectively monitor each individual or group performance in an open learning course. In this work, we propose a cloud-based and personalized learning platform enhanced by a very efficient and intelligent facial analytics algorithm to capture learners' real-time responses when viewing any open educational resources such as the Ted Talks, YouTube or MERLOT on mobile devices. After analyzing learners' instant responses and attention spans, it may help to quickly identify those difficult and/or less interesting topics. Besides, interactive quizzes can be flexibly added by course instructors into different sections of an online educational resource to evaluate each individual learner's actual level of understanding while relevant video files or course material is being streamed onto the learner's mobile device from the Dropbox cloud storage. All the data about the learning progress will be securely uploaded onto a password-protected cloud computing platform for further analyzes. Furthermore, the cloud platform ensures the interoperability of various mobile devices in this newly enhanced learning analytic system with which some initial and positive students' feedback was collected. This work clearly provides many promising directions for future extensions of the next-generation open learning and education platform.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124236525","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 Influence of Technology-Enhanced Environment on the Progress and Participation in ESL Learning Activities among Ukrainian Preschoolers","authors":"O. Dalte, Jing Leng, X. Gu","doi":"10.1109/ICALT.2017.12","DOIUrl":"https://doi.org/10.1109/ICALT.2017.12","url":null,"abstract":"As modern technologies have already become a part of our everyday life it is very important to clearly realize their impact on the educational process from the very first stages. That is why the current research compares the progress in English language learning among preschoolers in Ukraine who used technology-enhanced learning environment to those who were taught using traditional classrooms. After analyzing the data retrieved from 68 children and 5 teachers in Chernihiv private kindergarten (Ukraine), the findings indicate that the progress in general language proficiency, phonics skills and vocabulary knowledge of those who were taught with hand-held devices is much higher than that of those in traditional classroom settings. In addition, the results also reveal that modern technologies could help the preschoolers better focus on the materials, and engage them to participate more in the learning activities than paper-based materials.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122777268","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":"Enrichment of the Dataset of Joint Educational Entities with the Web of Data","authors":"C. Limongelli, Matteo Lombardi, A. Marani, D. Taibi","doi":"10.1109/ICALT.2017.13","DOIUrl":"https://doi.org/10.1109/ICALT.2017.13","url":null,"abstract":"The public availability of datasets of teaching resources is an issue for the design, development and evaluation of Information Retrieval and Recommender Systems in Technology Enhanced Learning. Recently, the Dataset of Joint Educational Entities (DAJEE) has provided the community with a very exhaustive collection of resources coming from Massive Open Online Courses. This work proposes a representation of the DAJEE dataset according to Linked Data principles, interlinking the large amount of resources in DAJEE with the Web of Data. The transcript of the educational resources in DAJEE have been annotated through a Named Entity Recognition tool in order to create interlinks with the DBpedia entities. The DBpedia knowledge base provides additional information related to categories, that can be exploited to infer new knowledge and support reasoning processes.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"5 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122192061","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":"Digital Gameplay Habits and Multiple Intelligences Profile of Early Adolescents Living in Rural Areas","authors":"V. Aleksić, M. Ivanović","doi":"10.1109/ICALT.2017.35","DOIUrl":"https://doi.org/10.1109/ICALT.2017.35","url":null,"abstract":"The purpose of the research is to provide an empirical insight into the gameplay preferences and multiple intelligences profile of early adolescents living in rural areas. It was found that the early adolescent males living in rural areas played digital games about two times more than females did, and that the average weekly gameplay time increased as students grew. Females achieved significantly higher levels of Bodily/kinesthetic intelligence than males did. Gender and age can be observed as predictors of average daily gameplay time. The levels of Visual/spatial, Verbal/linguistic, Interpersonal and Natural intelligence can be observed as the predictors of average weekly gameplay time. Socio-cultural influence of the living environment presented a significant factor for digital gameplay habits and multiple intelligence profile of early adolescents.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131017023","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 Robust and Non-invasive Strategy for Preserving Academic Integrity in an Open and Distance Learning Environment","authors":"Alexander Amigud, J. Arnedo-Moreno, T. Daradoumis, Ana-Elena Guerrero-Roldán","doi":"10.1109/ICALT.2017.23","DOIUrl":"https://doi.org/10.1109/ICALT.2017.23","url":null,"abstract":"The aim of this research project is to evaluate a novel approach to providing academic integrity through behavioral pattern analysis for continuous and on-demand assessments. Our objective is to empower instructors with efficient and automated tools that promote accountability and academic integrity, while providing students with an accessible, non-invasive, privacy preserving and convenient validation of the student-generated academic content. The contributions of the proposed study are threefold: (1) the bridged anonymity gap between learners and instructors, (2) an open source learning technology that enhances academic integrity, and (3) understanding of how the behavioral-based biometric technologies are perceived by students and instructors.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114968135","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 Help Management System to Support Peer Instruction in Remote Laboratories","authors":"Rémi Venant, Philippe Vidal, J. Broisin","doi":"10.1109/ICALT.2017.123","DOIUrl":"https://doi.org/10.1109/ICALT.2017.123","url":null,"abstract":"Help between peers, intended to positively influence learning, appears as a suitable activity for inquiry learning. While several studies reveal evidence that effective help-seeking and help-giving behaviors can improve learning, virtual and remote laboratories do not provide sufficient support to enable these social interactions. Based on a set of criteria defined from existing literature, we designed a management system and implemented it in Lab4CE, a remote laboratory environment for Computer Education. The first results of two experimentations reveal that learners do not tend to help each other spontaneously, while the presence of a teacher increases self-confidence on help given.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"37 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121876304","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}