I-Sheng Lin, Tsai-Yen Li, Fang-Chi Liang, Yong-Teng Lin
{"title":"A Collaborative Learning System for Sharing 3D Models: 3D Model Co-learning Space","authors":"I-Sheng Lin, Tsai-Yen Li, Fang-Chi Liang, Yong-Teng Lin","doi":"10.1109/ICALT.2017.102","DOIUrl":"https://doi.org/10.1109/ICALT.2017.102","url":null,"abstract":"In the recent years, due to the prevalence of 3D printers, there have been many applications of 3D printing developed for education such as creating custom-made teaching aids or student art work. Although there are web sites hosting 3D models created by students and allowing them to share and search in the database, these systems usually lack functions of collaborative learning. On the other hand, most learning management systems do not provide functions needed for sharing and viewing 3D models. In this work, we aim to design a system called 3D Model Co-learning Space (3D MCLS), dedicated to collaborative learning allowing students to share 3D models as well as performing blind peer assessment. The system allows a user to store, share, display, and discuss 3D models and allows a teacher to manage a group of students in a flexible way. More specifically, the system can automatically create a thumbnail by computing an optimized view of an uploaded 3D model. It uses tags to organize models into groups according to their attributes or teams in a class for easier access through search. In addition, it can provide blind assignments of peer review and compare the results with self-assessment. We have implemented such a system and conducted a pilot study to obtain a preliminary evaluation on the usability of the system.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"49 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":"122343096","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":"Enhancing Student Digital Skills: Adopting an Ecosystemic School Analytics Approach","authors":"Stylianos Sergis, D. Sampson, M. Giannakos","doi":"10.1109/ICALT.2017.87","DOIUrl":"https://doi.org/10.1109/ICALT.2017.87","url":null,"abstract":"Orchestrating holistic school improvement requires school leaders to effectively engage in the tasks of collecting and processing diverse educational data from the school ecosystem, and more importantly, to be able to 'translate' these analyses to specific remedying actions for targeted improvement. However, these processes can be cumbersome, especially given that existing 'School Analytics' methods aiming to support them have mainly focused on the former task, but have yet to explicitly address the latter. In this context, the paper presents and initially validates a novel School Analytics approach, which employs fuzzy-set Qualitative Comparative Analysis as the means to provide leaders with actionable insights on how to create the school conditions for fostering students' learning outcomes, focusing on 'digital skills' as a case study.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"7 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":"124850806","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":"Learning of Micro-Macro Thinking in Analog Electronics via MIC-O-MAP TEL Environment","authors":"Anura Kenkre, S. Murthy","doi":"10.1109/ICALT.2017.59","DOIUrl":"https://doi.org/10.1109/ICALT.2017.59","url":null,"abstract":"Micro-Macro thinking is students' ability to understand concepts and models at the microscopic (typically unseen) level, and link them to their corresponding manipulable variables at the 'macroscopic' (mostly tangible and measurable) level. For example, in the domain of basic analog electronics, learners are expected to relate the microscopic structure of atoms and scientific models of electron motion to describe and predict the outcomes of current and voltage in a macroscopic circuit in the lab. Development of this skill is crucial as it helps students apply their theoretical knowledge to solve real world problems as well as do design and troubleshooting. Existing solutions have attempted developing micro-macro thinking skill in the context of inquiry learning and system thinking, however, these have primarily addressed school level topics and have been implemented in the presence of a facilitator and other elements such as peer learning and doubt-solving sessions. We have designed, developed and evaluated MIC-O-MAP (MICroscopic Observations MAcroscopic Predictions), a TEL environment to develop students' micro-macro thinking in the domain of basic analog electronics at the undergraduate level, in the context of self-regulated learning. Key features of MIC-O-MAP include dynamically linked multiple representations, conceptual scaffolding questions and customized feedback by a pedagogical agent, which help establish the micro-macro link. In this paper, we describe the development of MIC-O-MAP, the design of learning modules for various topics in basic analog electronics, and present the findings from studies to evaluate student learning of micro-macro thinking in the chosen topics.","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":"125531207","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}
María Lucía Barrón Estrada, Ramón Zataraín-Cabada, R. Bustillos, Francisco González Hernández
{"title":"Sentiment Analysis in an Affective Intelligent Tutoring System","authors":"María Lucía Barrón Estrada, Ramón Zataraín-Cabada, R. Bustillos, Francisco González Hernández","doi":"10.1109/ICALT.2017.137","DOIUrl":"https://doi.org/10.1109/ICALT.2017.137","url":null,"abstract":"This paper presents an implementation of Sentiment Analysis module that works in an Affective Intelligent Tutoring System. Later, we show the results of evaluating this module and some experiments we made with students. We consider that the main contribution of this work is that with this module, the system will be able to analyze the student's feedback using sentiment analysis techniques and provide useful information to the course administrators teachers for improving the teaching material.","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":"127424651","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":"How Much Learning Support Should be Provided to Novices and Advanced Students?","authors":"Xingliang Chen, A. Mitrovic, Moffat Mathews","doi":"10.1109/ICALT.2017.43","DOIUrl":"https://doi.org/10.1109/ICALT.2017.43","url":null,"abstract":"Learning from examples, either alone or combined with problem solving has been proven to be beneficial for learning in Intelligent Tutoring System. However, it is generally unknown how much example-based assistance should be provided. We previously found that erroneous examples prepared students better for problem solving in comparison to worked examples when the order of learning activities is fixed [2]. However, students do not necessarily need all learning activities. We introduced a novel strategy which adaptively decides which learning activity (a worked example, an incorrect example, a problem, or none at all) is appropriate for a student based on his/her performance in SQL-Tutor. In this paper, we investigate the effect of the adaptive strategy on students with different levels of prior knowledge. We found both novices and advanced students who received learning activities adaptively achieved the same learning outcomes as their peers in a fixed condition, but with fewer learning activities. Surprisingly, there was no significant difference on the number of learning activities between novices and advanced students.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"85 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":"129252439","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}
T. B. Procaci, S. Siqueira, B. Nunes, Terhi Nurmikko-Fuller
{"title":"Modelling Experts Behaviour in Q&A Communities to Predict Worthy Discussions","authors":"T. B. Procaci, S. Siqueira, B. Nunes, Terhi Nurmikko-Fuller","doi":"10.1109/ICALT.2017.56","DOIUrl":"https://doi.org/10.1109/ICALT.2017.56","url":null,"abstract":"This paper investigates expert behaviour in Q&A communities in order to understand their influence in online discussions. Our evaluation shows that experts are more likely to provide help than non-experts, and when they participate in a discussion, the quality and length of the discussions tend to increase. In addition, we propose the usage of two models (Artificial Neural Network and Stochastic Gradient Boosting) to predict worthy discussions in the community. The results show that some adjustments in the models' parameters and in the input data can significantly improve the quality of the predictions.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"29 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":"129533790","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}
Kai-Yi Chin, Chun-Xin Hou, Ching-Sheng Wang, Ko-Fong Lee
{"title":"Using Augmented Reality Technology for the Development of Historic Building Teaching Application: A Mackay Culture Course","authors":"Kai-Yi Chin, Chun-Xin Hou, Ching-Sheng Wang, Ko-Fong Lee","doi":"10.1109/ICALT.2017.7","DOIUrl":"https://doi.org/10.1109/ICALT.2017.7","url":null,"abstract":"This study proposes a mobile augmented-reality teaching system focused on historic buildings that enables users to build a deeper understanding of the building structure, features, historical references and era influence while simultaneously exploring the historic site through the interaction effect that combines the virtual and the real. This increases overall interest in architecture and history. In this study, five students will operate the AR system to study how Mackay Culture influenced Tamsui and a satisfaction survey with both the questionnaire survey and an interview will be utilized to determine if participants are receptive to our proposed system and provide feedback on how to make subsequent improvements on our model.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"3 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":"126479330","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 Evaluation Study of Gamification Approach in Malaysian History Learning via Mobile Game Application","authors":"W. S. Yue, Chong Yee Ying","doi":"10.1109/ICALT.2017.69","DOIUrl":"https://doi.org/10.1109/ICALT.2017.69","url":null,"abstract":"Gamification has blown up its popularity, hence the gamified solutions need to be designed carefully so that it can be successfully sustain longer and help to achieve the learning outcomes in education field. History learning need to adopt gamification elements to spark the attention from the educators and learners since history subject is a compulsory subject in secondary education level in Malaysia. This paper has evaluated and analyzed gamification approach in Malaysian History Learning via mobile game application, named History Learning Mobile Game (HLMG). The HLMG has been verified its components and validate its functions so that it is completely released and ready for implementation. Eventually, the HLMG also has been evaluated its effectiveness via a focus group study on user experience (UX), story, gameplay complexity, estimated average play session, engagement and historical content delivered. Overall the results and findings, the user experience (UX) of HLMG need improvements. However, the story, historical content delivered and estimated average play session are excellent for the effectiveness of HLMG. Gameplay complexity and engagement are sufficient for the effectiveness level of HLMG.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"2013 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":"128017480","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}
M. Ibáñez-Espiga, Antonio J. de Castro, C. D. Kloos
{"title":"An Empirical Study of the Use of an Augmented Reality Simulator in a Face-to-Face Physics Course","authors":"M. Ibáñez-Espiga, Antonio J. de Castro, C. D. Kloos","doi":"10.1109/ICALT.2017.105","DOIUrl":"https://doi.org/10.1109/ICALT.2017.105","url":null,"abstract":"This paper reports empirical evidence on using an augmented reality based simulator in a face-to-face learning environment. The simulator was used in a Physics course to allow students (N=112) to gain insight into the way in which magnetic fields interact with charged particles by watching in 3D the corresponding trajectories. Results suggest that augmented reality technology has a positive impact on students' motivation. It would, however, be necessary to consider reinforcement activities to improve learning effectiveness.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"258 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":"122940747","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}
D. Menezes, Diogo Lima Florencio, Renato Ely Domingues Silva, I. Nunes, U. Schiel, M. Aquino
{"title":"DaVID — A Model of Data Visualization for the Instructional Design","authors":"D. Menezes, Diogo Lima Florencio, Renato Ely Domingues Silva, I. Nunes, U. Schiel, M. Aquino","doi":"10.1109/ICALT.2017.97","DOIUrl":"https://doi.org/10.1109/ICALT.2017.97","url":null,"abstract":"The quality of distance learning courses is determined by the proper organization of the teaching material and methodology. However, it should be taken into account, among other factors, the history of successes and failures of previous achievements of a course, as well as the profile of the new classes of students. This work proposes a data visualization model based on the Learning Analytics of a course, that allows the teacher to incorporate improvements in new editions of the course based on previous editions of the same. The model also applies to the monitoring the progress of the students at runtime of a course and identify possible problems in the instruction design, witch can be adapted dynamically.","PeriodicalId":134966,"journal":{"name":"2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT)","volume":"52 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":"115229307","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}