{"title":"Automated Segmentation of MOOC Lectures towards Customized Learning","authors":"Xiangrong Zhang, Chen Li, Shang-Wen Li, V. Zue","doi":"10.1109/ICALT.2016.25","DOIUrl":"https://doi.org/10.1109/ICALT.2016.25","url":null,"abstract":"The sheer size of the student body for MOOC and the diversity of their learning styles and backgrounds demand that we develop alternatives to the one-size-fits-all pedagogy used in residential education. An important aspect of this endeavor is the segmentation of the video material, since it forms the omnipresent and central part of every course, and structuralized videos allow non-linear navigation as well as help learners with various needs find desired information efficiently. Here, we propose an automatic visual transition detection method to partition lecture videos into self-contained segments, which is the foundation to structuralize video and support non-linear navigation. Our method can be done at scale and has been proved being able to achieve reasonable quality.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128276868","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}
Zeyneb Tadjine, Lahcen Oubahssi, Claudine Toffolon, S. Iksal
{"title":"Rethinking Learning Design for Learning Technologies: A Formalized Vision to Operationalize Pattern-Based Scenarios","authors":"Zeyneb Tadjine, Lahcen Oubahssi, Claudine Toffolon, S. Iksal","doi":"10.1109/ICALT.2016.106","DOIUrl":"https://doi.org/10.1109/ICALT.2016.106","url":null,"abstract":"The operationalization of learning scenarios on learning management systems (LMS) is more than a technology-related question. Different research issues around instructional design are to be addressed in order to provide pedagogical expressiveness of the different elements within a learning scenario, while it respects sufficiently the structure to describe it. In this work, we examine existing pattern-based approaches for learning design, and we provide a pattern's formalism for learning designs that enables their deployment automatically on the chosen LMS. We have adopted a methodology elaborated on the basis of a case study on which we have executed a process of learning scenario's operationalization. One of the results was to prove the usefulness of a pattern's formalism to design learning scenarios. We have considered the structural, constraints and content aspects of a learning scenario from both human and computational point of view. The formalism described in this paper is part of a process based on ontologies and semantic web principles, offering a support for teachers-designers to produce deployable learning scenarios without having to master the target platforms.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132946573","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 Computational Architecture for Learning Analytics in Game-Based Learning","authors":"H. A. Pereira, A. D. Souza, C. D. Menezes","doi":"10.1109/ICALT.2016.3","DOIUrl":"https://doi.org/10.1109/ICALT.2016.3","url":null,"abstract":"The use of digital games in education is already a reality, but their use in this area has been hampered by the lack of consolidated resources for evaluation of game-based learning. This paper reports a computational architecture for learning analytics in game-based learning that is based on relational analysis and data mining of data containing evidences of learning collected during the game play. It also uses computer vision techniques applied on images of the players playing to obtain information about their behaviors and emotions during the game.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123640531","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":"Drawing for Blind Learners: Assistive Technology for Graphical Design","authors":"J. Ohene-Djan, S. Fernando","doi":"10.1109/ICALT.2016.47","DOIUrl":"https://doi.org/10.1109/ICALT.2016.47","url":null,"abstract":"One of the main problems faced by blind learners is a lack of drawing technologies that support images and diagram drawing without the help of a sighted support worker. Even though some technologies have been experimented with in the past, blind learners have not been keen on tactile drawing due to: the difficulty of the drawing task, the length of time taken to complete a simple task, and the inefficiency of the drawing experience. This paper presents a set of grammar tools that can be used by blind people to find spatial orientation, as well as knowledge and representation of the interactive drawing environment, to improve the understanding of a concept or a subject matter. The grammar can be adopted and personalised in education and learning when presenting technical diagrams. The grammar enables users to present graphics by mapping the cognitive visualisation of blind people into spatial information on a computer screen. This technique promotes an interactive and easy drawing environment to build objects, associations, and layout information by zooming, navigation, and grouping. It will lead to future possibilities such as 3D world modelling, printing, and multisensory integration of inputs and output methods.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130673912","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}
K. Vaishnavi, Ashwin Kannan, David Cline, Ronak Etemadpour
{"title":"A Visualization Tool for Learning Statistical Analysis in Multi Tabular Datasets","authors":"K. Vaishnavi, Ashwin Kannan, David Cline, Ronak Etemadpour","doi":"10.1109/ICALT.2016.13","DOIUrl":"https://doi.org/10.1109/ICALT.2016.13","url":null,"abstract":"The ability of the human mind to perceive visual informationmakes visualization not only useful, but a powerful toolfor information discovery. Answering questions about complexrelationships requires the analyst to choose a statistical analysistechnique that makes relationships visually discernible. Oftenthe proper technique is dependent on the characteristics of thedataset, such as dependency among variables, sample size, andtypes of data (ordinal or categorical). In this work, we proposea web based interface approach that visualizes various statisticaltests and displays the distributions of data using color codingschemes. With our system, a user can select multiple variablesinteractively, and the resulting selections will be visualized tohelp the user understand the data and statistical formulas used toshow it. This capability allows a user to quickly evaluate differentsubsets of a large, complex dataset for statistical correlations. Tovalidate our approach, we performed a controlled user study toevaluate the ease of use of our system, and to test the effectivenessof our interface. We see our system as directly applicable to dataanalytical tasks, as well as a useful teaching tool for those learningdata analytics.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116813535","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}
A. Terracina, Riccardo Berta, F. Bordini, R. Damilano, Massimo Mecella
{"title":"Teaching STEM through a Role-Playing Serious Game and Intelligent Pedagogical Agents","authors":"A. Terracina, Riccardo Berta, F. Bordini, R. Damilano, Massimo Mecella","doi":"10.1109/ICALT.2016.121","DOIUrl":"https://doi.org/10.1109/ICALT.2016.121","url":null,"abstract":"Teaching STEM is a promising application domain for game-based instructional methods. In this paper we present a serious game organized as a role playing game: players learn how to inhabit the headspace of someone other than their primary ego identity, offering them the chance to develop a stronger sense of empathy. The same empathy is established between the player and her Intelligent Pedagogical Agent, which should guide the player into the Virtual Learning Environment and trough the game as well. We present the ongoing development of the game, and a preliminary validation of the Intelligent Pedagogical Agent to show its effectiveness with teenager students.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129137720","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":"Studying Co-Tagging Networks in Learning Object Repositories","authors":"P. Zervas, Charalampos Alifragkis, D. Sampson","doi":"10.1109/ICALT.2016.117","DOIUrl":"https://doi.org/10.1109/ICALT.2016.117","url":null,"abstract":"Co-tagging refers to the process of adding the same tag to one or more digital resources by two or more taggers. This process can be modelled as a social network, also known as co-tagging network, where the actors are the taggers and the relationships between them are the common tags that they have used. Co-tagging networks have been studied by applying social network analysis (SNA) metrics so as to: (a) draw significant insights about the influence of central users to the (tagging) behaviour of other users and (b) identify clusters of taggers based on the content of the tags that they use. Nevertheless, there are no previous works, which have studied co-tagging networks in the field of Learning Object Repositories (LORs). In this paper we aim to address this issue by studying the co-tagging network of a specific LOR, namely the OpenScienceResources (OSR) Repository.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"227 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133334873","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":"Being Social or Social Learning: A Sociocultural Analysis of the FutureLearn MOOC Platform","authors":"Philip Tubman, Murat Öztok, Phillip Benachour","doi":"10.1109/ICALT.2016.28","DOIUrl":"https://doi.org/10.1109/ICALT.2016.28","url":null,"abstract":"MOOC environments seem to offer massive potential for social learning. However, MOOC environments have unique challenges for pedagogy which are not present in other socio-constructivist learning environments: the scale and diversity of participation. Many points of view are accessible, but few means of filtering. This paper examines interaction data from several MOOCs. Interaction data is an indicator for depth of learning in the sociocultural sense. Most conversations are seen to have surface level interactions. Platform and pedagogy affordances are suggested that may help deal with this.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123150833","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":"Engineers as Role Models: Strengthening Student Desire to Participate in Science","authors":"Leila A. Mills","doi":"10.1109/ICALT.2016.54","DOIUrl":"https://doi.org/10.1109/ICALT.2016.54","url":null,"abstract":"The purpose of this study was to examine the effects of student interaction with science role models on elementary school students' desire to participate in science. The main question asked was: How will desire to participate in science differ after adolescents are given an opportunity to interact with engineers employed in high-tech areas from a state-of-art research and education center? Results showed that the students who participated in the science club and interacted with engineers were significantly more positive in their desire to participate in science than other students.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"69 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117142175","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. Wongwatkit, N. Srisawasdi, Gwo-jen Hwang, P. Panjaburee
{"title":"Enhancing Learning Attitudes and Performance of Students in Physics with a Mastery Learning Mechanism-Based Personalized Learning Support System","authors":"C. Wongwatkit, N. Srisawasdi, Gwo-jen Hwang, P. Panjaburee","doi":"10.1109/ICALT.2016.55","DOIUrl":"https://doi.org/10.1109/ICALT.2016.55","url":null,"abstract":"Most existing personalized learning support systems facilitate students' learning by providing learning suggestions or learning content to individual students based on their background or profiles. It is difficult to adapt learning activities to respond to students' ongoing learning performances and status, leading to the limitation in enhancing online personal learning performance and learning attitudes. To address this issue, a mastery learning mechanism was proposed to monitor individual students ongoing learning situations, moreover, students' conceptual learning problems, learning styles and current understanding status were considered for providing effective personalized learning activities. An online personalized learning support system was developed basing on the novel mastery learning mechanism. The experimental results show that the students who learned with our proposed system had better learning attitudes toward the learning activities, better understanding and higher perception of the usefulness of the learning system, and better learning performance of Simple Electricity on Physics course than those who learned with the conventional system.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122685686","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}