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2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)最新文献

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Complex Problem Solving as a Construct of Inquiry, Computational Thinking and Mathematical Problem Solving 复杂问题解决:探究、计算思维和数学问题解决的构建
2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2019-07-15 DOI: 10.1109/ICALT.2019.00071
M. Pedaste, Tauno Palts, Külli Kori, Maarja Sõrmus, Ä. Leijen
{"title":"Complex Problem Solving as a Construct of Inquiry, Computational Thinking and Mathematical Problem Solving","authors":"M. Pedaste, Tauno Palts, Külli Kori, Maarja Sõrmus, Ä. Leijen","doi":"10.1109/ICALT.2019.00071","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00071","url":null,"abstract":"Complex problem solving is one of the key skills for future jobs, but it has not been clearly operationalized. We hypothesized that it is a construct of inquiry, computational thinking, and mathematical problem solving. The hypothesis was empirically tested by administering tests to 261 high school students for assessing three inquiry skills, two dimensions of computational thinking and five mathematical problem solving skills. Confirmatory factor analysis showed a three factor model of inquiry skills and two factor model of computational thinking skills to have a good fit. Mathematical problem solving skills were characterized with a two factor model. These factors were combined in a higher-order factor model into one construct that could be defined as a complex problem solving skill.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116595886","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}
引用次数: 3
Towards Open Data in Digital Education Platforms 迈向数字教育平台的开放数据
2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2019-07-15 DOI: 10.1109/ICALT.2019.00048
Joana Soares Machado, Juan Carlos Farah, D. Gillet, M. Rodríguez-Triana
{"title":"Towards Open Data in Digital Education Platforms","authors":"Joana Soares Machado, Juan Carlos Farah, D. Gillet, M. Rodríguez-Triana","doi":"10.1109/ICALT.2019.00048","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00048","url":null,"abstract":"Despite the traction gained by the open data movement and the rise of big data and learning analytics in education, there is limited support for researchers in education to generate, access, and share experimental data using openly-available digital education platforms. To explore how this gap could be addressed and elicit requirements, we conducted a survey with 40 researchers in the field of technology-enhanced learning, examining their experience and needs handling research data. Drawing on the results of our survey, we devised a set of features that educational platforms should provide to address the identified requirements, enabling researchers in education to run studies within typical learning environments, adhere to legal and ethical frameworks concerning privacy, and share their data confidently with a wider audience. We then categorized these features into five stages that represent the user flow, namely (1) Bootstrapping Research Studies, (2) Ensuring Consent, (3) Gathering Data, (4) Managing Data Sets, and (5) Supporting Open Research and Collaboration. Our aim is to guide forthcoming research and developments to relieve researchers of the burdens of conducting data-sensitive experiments, support the adoption of best practices, and pave the way for open data policies in digital education.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114864403","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}
引用次数: 2
A Personalized E-Learning Services Recommendation Algorithm Based on User Learning Ability 基于用户学习能力的个性化网络学习服务推荐算法
2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2019-07-15 DOI: 10.1109/ICALT.2019.00099
Honghao He, Zhengzhou Zhu, Qun Guo, Xiangsheng Huang
{"title":"A Personalized E-Learning Services Recommendation Algorithm Based on User Learning Ability","authors":"Honghao He, Zhengzhou Zhu, Qun Guo, Xiangsheng Huang","doi":"10.1109/ICALT.2019.00099","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00099","url":null,"abstract":"The E-learning services recommendation is essential in enabling precision instruction and personalized learning. In this paper, a new personalized E-learning services recommendation algorithm is proposed to solve the problem of low accuracy, recall and effectiveness. The algorithm builds user similarity matrix based on both user information data and user behavior data. In order to achieve the goal of bettering things, this paper creates an asymmetric similarity matrix based on the user learning ability and designs an E-learning services ranking strategy to make personalized E-learning service recommendation better. The application of the recommendation algorithm in the personalized E-learning platform of a software college shows that the new algorithm can improve the accuracy, recall and effectiveness compared with the traditional recommendation algorithm.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116929793","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}
引用次数: 10
A Web-Based Platform for Peer Assessment in Technology Enhanced Learning: Student Module Prototype 基于网络的技术强化学习同伴评价平台:学生模块原型
2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2019-07-15 DOI: 10.1109/ICALT.2019.00115
Gabriel Badea, E. Popescu
{"title":"A Web-Based Platform for Peer Assessment in Technology Enhanced Learning: Student Module Prototype","authors":"Gabriel Badea, E. Popescu","doi":"10.1109/ICALT.2019.00115","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00115","url":null,"abstract":"Peer assessment is widely used in educational settings as an alternative evaluation approach. It brings various benefits to the students, increasing engagement and interactivity and fostering critical thinking and reflection. Several platforms for managing the peer review process have been proposed in the literature, but most of them are confined to a particular domain or course and have various limitations related to reliability, reviewer allocation, reputation and training of reviewers or instructor support. In an attempt to address these challenges, we propose an innovative general-purpose peer assessment platform, called LearnEval. In this paper we focus on the student module part of the system, describing its functionalities, pedagogical rationale and implementation details.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123461345","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}
引用次数: 10
An Automatic and Intelligent Approach for Supporting Teaching and Learning of Software Engineering Considering Design Smells in Object-Oriented Programming 考虑面向对象程序设计中设计气味的软件工程自动智能教学支持方法
2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2019-07-15 DOI: 10.1109/ICALT.2019.00100
V. Silva, F. Dorça
{"title":"An Automatic and Intelligent Approach for Supporting Teaching and Learning of Software Engineering Considering Design Smells in Object-Oriented Programming","authors":"V. Silva, F. Dorça","doi":"10.1109/ICALT.2019.00100","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00100","url":null,"abstract":"Design smells are software structures that may indicate a code or design problem that makes software difficult to evolve and maintain [3]. Know those errors is the first step to improve some development skills, such as refactoring. Current tools that detect software problems does not aim to help students to learn with their own errors neither help teachers to use it to improve the way they teach object oriented programming (OOP) and software engineering disciplines. This work aims to develop an expert system module to improve the existent tools and help students and teachers in their tasks.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125944552","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}
引用次数: 3
Support Work-Process-Oriented Curricula through Integrating Learning Design with Mixed-Reality Environments 通过将学习设计与混合现实环境相结合来支持面向工作过程的课程
2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2019-07-15 DOI: 10.1109/ICALT.2019.00109
Yongwu Miao, H. Hoppe, Xiaogang Du
{"title":"Support Work-Process-Oriented Curricula through Integrating Learning Design with Mixed-Reality Environments","authors":"Yongwu Miao, H. Hoppe, Xiaogang Du","doi":"10.1109/ICALT.2019.00109","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00109","url":null,"abstract":"Work-process-orientation is a new approach to voca¬tional education and training (VET). The content and structure of a work-process-oriented curriculum (WPOC) are derived from a typical professional task in an occupation and based on work processes. Existing approaches and learning platforms relevant to WPOC provide insufficient support. This paper proposes a technical approach to systematically supporting learning activities in a work context compatible with WPOC through integrating a learning design platform with mixed-reality environments. Through implementation and exemplary usage of the platform, the feasibility of this technical approach and its usability have been demonstrated.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133976368","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}
引用次数: 2
Identifying User Preferences Through an Application for Autistic Children Using Inclusive Design Models 使用包容性设计模型通过自闭症儿童应用程序识别用户偏好
2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2019-07-15 DOI: 10.1109/ICALT.2019.00096
Rallyson Ferreira, T. H. C. Castro
{"title":"Identifying User Preferences Through an Application for Autistic Children Using Inclusive Design Models","authors":"Rallyson Ferreira, T. H. C. Castro","doi":"10.1109/ICALT.2019.00096","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00096","url":null,"abstract":"Due to a deficit on cognitive ability and language skills, children with intellectual disabilities, especially with autism, do not engage in participatory design activities. Using an inclusive design approach, children with autism are able to have more effective participation during the design, however for this it is necessary to adapt participatory design methods, making them more contextualized with children's daily activities. Participatory methods use games and light activities for people to bring out their design ideas, considering their needs and preferences. Children with autism need a more structure-activity with a very well-defined goal for them to feel comfortable. In this context, this paper, describe the implementation of a ludic application in line with the precepts of inclusive design to identify children with intellectual disabilities ways of thinking aiming at finding possibilities for adaptation of tools using participatory design methods.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"15 12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-07-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127644020","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}
引用次数: 0
Prediction of School Efficiency Rates through Ensemble Regression Application 运用集合回归预测学校效率
2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2019-07-01 DOI: 10.1109/ICALT.2019.00050
R. Nascimento, Roberta Fagundes, A. M. A. Maciel
{"title":"Prediction of School Efficiency Rates through Ensemble Regression Application","authors":"R. Nascimento, Roberta Fagundes, A. M. A. Maciel","doi":"10.1109/ICALT.2019.00050","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00050","url":null,"abstract":"Educational data mining is concerned with developing, researching, and applying automated methods to detect patterns in collections of educational data, gaining insights into and explaining phenomena in this scenario. The present study describes the application of the prediction of educational indicators in the Brazilian scenario through ensemble models. Ensemble models usually result in better accuracy and are more stable than individual techniques, since they combine the prediction of their components by providing a result more robust. The first model we developed combining parametric regression techniques with baselevel learners. The second model uses the set of methods found in the literature in a Stacking regression application formed by parametric and non-parametric techniques. We compare these models, and the results indicate a smaller prediction error for our Stacking model in most of the scenarios studied.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"5 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":"129339544","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}
引用次数: 1
Supervised Learning in the Context of Educational Data Mining to Avoid University Students Dropout 教育数据挖掘背景下的监督学习避免大学生辍学
2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2019-07-01 DOI: 10.1109/ICALT.2019.00068
Kelly J. de O. Santos, A. G. Menezes, A. B. Carvalho, C. A. E. Montesco
{"title":"Supervised Learning in the Context of Educational Data Mining to Avoid University Students Dropout","authors":"Kelly J. de O. Santos, A. G. Menezes, A. B. Carvalho, C. A. E. Montesco","doi":"10.1109/ICALT.2019.00068","DOIUrl":"https://doi.org/10.1109/ICALT.2019.00068","url":null,"abstract":"Educational data mining is a research field that looks for extracting useful information from large educational datasets. This area provides tools for improving student retention rates around the world. In this paper we propose a computational approach using educational data mining and different supervised learning techniques (Decision Trees, K-nearest Neighbor, Neural Networks, Support Vector Machines, Naive Bayes and Random Forests) to evaluate the behaviour of different prediction models in order to identify the profile of at-risk university students in a Brazilian university environment. The results of this paper indicate that some algorithms can be used as tools for supporting decisions that reduce school dropout.","PeriodicalId":356549,"journal":{"name":"2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT)","volume":"55 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":"129744311","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}
引用次数: 15
[Copyright notice] (版权)
2019 IEEE 19th International Conference on Advanced Learning Technologies (ICALT) Pub Date : 2019-07-01 DOI: 10.1109/icalt.2019.00003
{"title":"[Copyright notice]","authors":"","doi":"10.1109/icalt.2019.00003","DOIUrl":"https://doi.org/10.1109/icalt.2019.00003","url":null,"abstract":"","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":"129838018","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}
引用次数: 0
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