K. Takemata, Tsubasa Takeda, Misa Tanaka, A. Minamide
{"title":"Development of Game Software Based on Color Universal Design","authors":"K. Takemata, Tsubasa Takeda, Misa Tanaka, A. Minamide","doi":"10.1109/ICALT.2016.43","DOIUrl":"https://doi.org/10.1109/ICALT.2016.43","url":null,"abstract":"In this study, we show the game software which can equally be enjoyed by color vision deficiencies (color anomaly). Furthermore our maze exploration game is produced in order to help promote the color perception test.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"101 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":"123786759","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 Authoring System for Adaptive Mobile Learning Content","authors":"Tobias Moebert, Julius Höfler, U. Lucke","doi":"10.1109/ICALT.2016.16","DOIUrl":"https://doi.org/10.1109/ICALT.2016.16","url":null,"abstract":"It appears that mobile adaptive learning application are still rarely used in real world learning settings apart from research projects. One possible explanation is that the complex relations between learning content and contextual information are to abstract and therefor difficult to grasp for authors of such applications. This results in a very steep learning curve, especially for non-technology-savvy users, and ultimately in a negative attitude against this method of teaching. This papers describes a concept for an authoring system that aims at making the abstract parts of adaptive mobile learning more concrete.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"28 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":"128417502","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}
S. Cifuentes, Soledad Gomez Garcia, M. P. Andrés-Sebastiá, J. Camba, M. Contero
{"title":"Augmented Reality Experiences in Therapeutic Pedagogy: A Study with Special Needs Students","authors":"S. Cifuentes, Soledad Gomez Garcia, M. P. Andrés-Sebastiá, J. Camba, M. Contero","doi":"10.1109/ICALT.2016.23","DOIUrl":"https://doi.org/10.1109/ICALT.2016.23","url":null,"abstract":"Information and Communication Technologies (ICTs) have played a major role in shaping our society, affecting nearly all aspects of our daily lives. In educational contexts, the ongoing technological revolution we are experiencing naturally calls for a transformation of traditional teaching and learning processes. The integration and efficient use of emergent technologies have become fundamental challenges in the educational domain. In this paper, we evaluate the use of Augmented Reality (AR) technology in a classroom with middle school special-needs students. Our primary goal is to quantitatively assess whether AR helps special-needs students to improve their results, performance, motivation, and other aspects of the learning process. Information was collected via pre and post questionnaires distributed to participants before and after an intervention. Our results serve as basis for improving future educational AR-related projects and materials.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"12 6 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":"123880136","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":"Teaching Science and Engineering through Reconstruction of Historic Inventions","authors":"G. Bull, N. Standish, Tandra L. Tyler-Wood","doi":"10.1109/ICALT.2016.120","DOIUrl":"https://doi.org/10.1109/ICALT.2016.120","url":null,"abstract":"The rapid adoption of Maker Spaces in schools offers opportunities for students to design and fabricate their own inventions. Smithsonian Invention Kits provide a framework that allows students to explore and learn science and engineering through reconstruction of historic inventions.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"35 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":"121353589","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}
Ana Paula Scariot, F. Andrade, J. M. C. Silva, Hazra Imran
{"title":"Students Effort vs. Outcome: Analysis Through Moodle Logs","authors":"Ana Paula Scariot, F. Andrade, J. M. C. Silva, Hazra Imran","doi":"10.1109/ICALT.2016.116","DOIUrl":"https://doi.org/10.1109/ICALT.2016.116","url":null,"abstract":"Previous research shows how student's effort is found in Learning Management Systems (LMS). In this paper, we verified if positive effort in face-to-face courses supported by Moodle LMS carries on to their completion. We used logs of several courses and compared them with teachers' diaries. We developed an algorithm to analyze data and retrieve information about students. The results confirm that students with good or high effort are more able to complete the course.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"40 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":"116621292","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}
Buddhiprabha Erabadda, Surangika Ranathunga, G. Dias
{"title":"Computer Aided Evaluation of Multi-Step Answers to Algebra Questions","authors":"Buddhiprabha Erabadda, Surangika Ranathunga, G. Dias","doi":"10.1109/ICALT.2016.35","DOIUrl":"https://doi.org/10.1109/ICALT.2016.35","url":null,"abstract":"This paper presents a system that automatically assesses multi-step answers to algebra questions. The system requires teacher involvement only during the question set-up stage. Two types of algebra questions are currently supported: questions with linear equations containing fractions, and questions with quadratic equations. The system evaluates each step of a student's answer and awards full/partial marks according to a marking scheme. The system was evaluated for its performance using a set of student answer scripts from a government school in Sri Lanka and also by undergraduate students. The system accuracy was over 95.4%, and over 97.5%, respectively for the aforementioned data sets.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"19 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":"123527967","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":"Extracurricular Activities as Dropout Prediction Factors in Higher Education Using Decision Trees","authors":"T. Hasbun, Alexandra Araya, Jorge J. Villalón","doi":"10.1109/ICALT.2016.66","DOIUrl":"https://doi.org/10.1109/ICALT.2016.66","url":null,"abstract":"Educational Data Mining can help predict dropout prone students and the factors institutions should observe in trying to avoid an important social problem in modern societies. However, most current predicting models use academic credit worth information from the curricula, ignoring extracurricular activities, while there is evidence from other research fields that some activities like sports can be related to academic performance. This paper studies the importance of extracurricular activities to predict dropout in students from two Bachelor of Science degrees (Engineering and Business). Data from 4.840 students was collected and two models, one including all data and another removing credits worth courses were trained and validated, showing that extracurricular activities are excellent dropout predictors.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"36 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":"124818478","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":"Designing Authentic Learning to Meet the Challenges of Digital Natives in First-Year Program: An Action Research in Chinese University","authors":"Wei Cheng, Pen Chen, Xiaoling Liu, Ronghuai Huang","doi":"10.1109/ICALT.2016.41","DOIUrl":"https://doi.org/10.1109/ICALT.2016.41","url":null,"abstract":"Successful students' transitions from high school to institutions of higher education is one of the most widely studied areas. Nowadays, the proliferation of wireless network and mobile devices in higher education, especial in classroom, creates new learning opportunities and educational challenges. This paper employed an action research focusing on designing effective teaching and authentic learning in the technology-rich classroom. It aims to meet the challenges of digital natives in the first year program. A study of one cohort of students was conducted over a period of four months. It indicated that the effective teaching and authentic learning would help the students adjust the college life faster, and develop the good learning habits.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"82 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":"125877536","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":"Virtual Reality Systems for Training Improvement in Electrical Distribution Substations","authors":"Y. Hernández, Miguel Pérez-Ramírez","doi":"10.1109/ICALT.2016.141","DOIUrl":"https://doi.org/10.1109/ICALT.2016.141","url":null,"abstract":"This paper describes a Virtual Reality training system, devoted to electrical tests in distribution substations. The system has impacted the traditional training method, which is based on classroom classes and camp training, by augmenting the availability of specialized knowledge and enabling student to train and learn about electrical tests.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"65 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":"133346730","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":"Engaging Students with Computer Science through Creativity: Toward Better Understanding and Improved Methods","authors":"Sofia Papavlasopoulou","doi":"10.1109/ICALT.2016.53","DOIUrl":"https://doi.org/10.1109/ICALT.2016.53","url":null,"abstract":"Interactive ways of learning and creative activities in teaching methods of Computer Science (CS) have drawn great interest in the last years. The goal of this PhD project is to focus on the main research question: How could practices for computer science education become more attractive and effective for students and especially female students? Initially the project will define the existing teaching practices of CS being used inside and outside school environment. Next, empirical tests will evaluate the effectiveness of proposed learning practices based on learning activities of different types, e.g. collaborative games, supervised or unsupervised project work). Qualitative and quantitative methodology will investigate among other the learning success, growth in competences and students' understanding of computer science.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"57 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":"131586136","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}