María Lucía Barrón Estrada, Ramón Zataraín-Cabada, R. Bustillos, G. Alor-Hernández
{"title":"How an Affective Learning Environment for Learning Java Impacts the Student's Learning Results","authors":"María Lucía Barrón Estrada, Ramón Zataraín-Cabada, R. Bustillos, G. Alor-Hernández","doi":"10.1109/ICALT.2016.74","DOIUrl":"https://doi.org/10.1109/ICALT.2016.74","url":null,"abstract":"We present a descriptive statistical study about an Intelligent Learning Environment for learning Java programming and the student's learning results. Java Sensei is an Intelligent Learning Environment (ILE) built around an affective tutoring system working in a web-based environment. The ILE was implemented under different learning methodologies like problem solving for the pedagogical module, knowledge space for the expert module, and overlays for the student module.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"105 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":"116916811","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":"Bringing Balance to the Forces of Learning Design: Integrating Self-Regulated Planning and Scripting via Model Transformations","authors":"A. Harrer, Andreas Lingnau","doi":"10.1109/ICALT.2016.30","DOIUrl":"https://doi.org/10.1109/ICALT.2016.30","url":null,"abstract":"Representations of learning processes matter to participants of educational scenarios of completely opposite schools: both when reflecting on self-regulated processes and also when systems guide the learning activity with scripts or interventions, sound representations of the respective educational processes are needed. We will present in this paper our efforts on weaving together these two extreme positions using a visual language for self-regulated learning in groups and formal transformations: 1. We map to conceptual frameworks in the field to make interoperability and exchange possible. 2. We map to formal executable models to facilitate monitoring, feedback and potentially scripting educational scenarios to support students and teachers in following pre-planned educational processes.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"164 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":"127424049","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}
Noriko Uosaki, Mahiro Kiyota, Kousuke Mouri, H. Ogata, Mahdi Choyekh
{"title":"Onomatopoeia Learning Support for Japanese Language Learners Using Ubiquitous Learning Log System with eBook","authors":"Noriko Uosaki, Mahiro Kiyota, Kousuke Mouri, H. Ogata, Mahdi Choyekh","doi":"10.1109/ICALT.2016.98","DOIUrl":"https://doi.org/10.1109/ICALT.2016.98","url":null,"abstract":"This paper describes our study where we aim to support onomatopoeia learning for Japanese language learners using the ubiquitous learning log system called SCROLL (System for Capturing and Reminding Of Learning Log). We have improved our system by adding a new function EPUB (Electronic PUBlication) in order to improve quiz efficiency and to enrich its contents. Our pilot evaluation indicates that the quiz function worked sufficiently. However, some user-unfriendliness was pointed out.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"53 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":"126198308","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":"Meta-Analysis in Educational Technology Research: A Content Analysis","authors":"Zhengcheng Fan, Wei Cheng, Guang Chen, Ronghuai Huang","doi":"10.1109/ICALT.2016.94","DOIUrl":"https://doi.org/10.1109/ICALT.2016.94","url":null,"abstract":"Meta-analysis is a quantitative research method for synthesizing research results. This paper explores the application of meta-analysis in educational technology research from 2000. A total of 37 articles from 14 SSCI journals were selected and analyzed with the basic information of the articles, including the publication year and type of cooperation. Then, the moderator variables, such as grade level, discipline, instruction approaches and technology use, are coded and conducted descriptive analysis to reveal the application and practice of meta-analysis method in educational technology. The Mean Effect Size of 774 effect sizes is small (d = 0.4843). Most of meta-analyses in educational technology field were conducted by cooperating with domain experts. Furthermore, most meta-analyses focus on comparing the effects on learning achievement of technology use with traditional classroom, but neglected the effect of specific technologies on instruction or learning and how to use them to support learning and instruction.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"7 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":"126055950","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}
David Boulanger, Jeremie Seanosky, C. Clemens, Vivekanandan S. Kumar, Kinshuk
{"title":"SCALE: A Smart Competence Analytics Solution for English Writing","authors":"David Boulanger, Jeremie Seanosky, C. Clemens, Vivekanandan S. Kumar, Kinshuk","doi":"10.1109/ICALT.2016.108","DOIUrl":"https://doi.org/10.1109/ICALT.2016.108","url":null,"abstract":"This paper proposes a competence analytics framework called SCALE (Smart Competence Analytics on LEarning) and highlights how it can be applied to track the formation and development of learners' competences in the English writing domain. SCALE is essentially a generic competence analytics solution designed for all learning domains. This paper shows in detail how SCALE collects in a timely manner evidences to track the development of English writing skills. As new evidences come in, every competence will be re-assessed quantitatively so that every change in competence level can be recorded over time. Using an experimental dataset, the paper concludes by exhibiting a subset of insights possible with SCALE.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"13 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":"126833029","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}
Paul-Stefan Popescu, M. Mihăescu, E. Popescu, M. Mocanu
{"title":"Using Ranking and Multiple Linear Regression to Explore the Impact of Social Media Engagement on Student Performance","authors":"Paul-Stefan Popescu, M. Mihăescu, E. Popescu, M. Mocanu","doi":"10.1109/ICALT.2016.140","DOIUrl":"https://doi.org/10.1109/ICALT.2016.140","url":null,"abstract":"Investigating learning performance predictors is an important part of the educational process. Active participation or engagement is one such predictor, which has been widely analyzed in traditional learning settings, but less in the emerging social-media based learning environments. This paper explores the relationship between students' active participation on three social media tools (wiki, blog, microblogging tool) and their academic performance, in the context of a project-based learning scenario. Two cohorts, with a total of 119 students, are included in the study. Multiple linear regression is used to build easily interpretable models, which explain the final grade in terms of social media activity. Results indicate that engagement with social media tools is a good predictor of the student performance. More specifically, the models show that several features have an influence on the grade, such as: the frequency of blog posts, the average length of the tweets, the number of wiki page revisions, the average number of revisions for each distinct wiki page, the number of blog comments, the number of wiki file uploads.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"104 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":"131773758","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}
Soude Fazeli, Enayat Rajabi, Leonardo Lezcano, H. Drachsler, P. Sloep
{"title":"Supporting Users of Open Online Courses with Recommendations: An Algorithmic Study","authors":"Soude Fazeli, Enayat Rajabi, Leonardo Lezcano, H. Drachsler, P. Sloep","doi":"10.1109/ICALT.2016.119","DOIUrl":"https://doi.org/10.1109/ICALT.2016.119","url":null,"abstract":"Almost all studies on course recommenders in online platforms target closed online platforms that belong to a University or other provider. Recently, a demand has developed that targets open platforms. Such platforms lack rich user profiles with content metadata. Instead they log user interactions. We report on how user interactions and activities tracked in open online learning platforms may generate recommendations. We use data from the OpenU open online learning platform in use by the Open University of the Netherlands to investigate the application of several state-of-the-art recommender algorithms, including a graph-based recommender approach. It appears that user-based and memory-based methods perform better than model-based and factorization methods. Particularly, the graph-based recommender system outperforms the classical approaches on prediction accuracy of recommendations in terms of recall.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"122 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120818830","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 S-IDEAL Model Promotes Deeper Science Learning in SPOCs: Preliminary Design-Based Research","authors":"Tonny Meng-Lun Kuo, S. Young","doi":"10.1109/ICALT.2016.75","DOIUrl":"https://doi.org/10.1109/ICALT.2016.75","url":null,"abstract":"Massive Open Online Courses (MOOCs) have become one of the influential tsunamis in higher education. To face the overwhelming trend, the current designed-based research develops feasibly evidence-based, iterative-improved, innovative instructional S-IDEAL model that effectively utilizes the open educational resources to foster deeper scientific learning experiences in the context of Small Private Online Courses in higher education. The two studies gradually reveal how the designed SPOCs improve the deeper learning experiences in the context of Neuroscience through the learning performance, the learning experience surveys, the in-depth interviews, the in-class field observation, and the video-recording of the in-class discussion. Empirical findings show that the S-IDEAL model is ideal for implementing flipped scientific classroom. Other interesting findings and the future suggestions are depicted in this study.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"47 9 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":"133970320","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}
B. Nunes, Terhi Nurmikko-Fuller, G. R. Lopes, S. Siqueira, G. H. B. D. Campos, M. Casanova
{"title":"Treasure Explorers -- A Game as a Diagnostic Assessment Tool","authors":"B. Nunes, Terhi Nurmikko-Fuller, G. R. Lopes, S. Siqueira, G. H. B. D. Campos, M. Casanova","doi":"10.1109/ICALT.2016.136","DOIUrl":"https://doi.org/10.1109/ICALT.2016.136","url":null,"abstract":"Understanding students' strengths and weaknesses can help in the design of teaching materials to successfully bridge identified gaps. Formal exams are useful to gauge the extent of learners' memorised information, but have been critiqued for not reflecting the true extent of learners knowledge. Diagnostic assessment assists teachers in setting task-specific plans and goals, for both individual students, and the learner-group as a whole. In this paper, we describe Treasure Explorers, a Game With a Purpose (GWAP) with a multilayered structure that facilitates the learning process, promotes user retention, and is designed to reward contributing players. A comprehensive evaluation based on game log and TAM model was conducted. The log of over 5,500 records reveals that aspects of engagement and learning had occurred, and qualitative evaluations show the applicability and usability of games as diagnostic assessment tools. Treasure Explorers assists teachers in identifying student difficulties, and has significant potential to help educators plan for lesson content.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"86 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":"133535410","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":"Optimization of Personalized Learning Pathways Based on Competencies and Outcome","authors":"Jianhua Lin","doi":"10.1109/ICALT.2016.99","DOIUrl":"https://doi.org/10.1109/ICALT.2016.99","url":null,"abstract":"Personalized learning that is tailored to individual needs, preference, and interests may improve student learning experience and outcome. With the aid of computing technology, it is becoming possible to deliver personalized learning to a large and diverse student population. One of the key problems involved is the determination of the pathway which each learner follows to complete a learning program. Existing methods generally rely on a priori knowledge of subject content prerequisite relationship or constraint to determine the sequencing of instructional materials without any consideration of student learning outcome. In this paper, we formulate the selection of learning pathways as an optimization problem based on competencies and student learning outcome. We show that the resulting pathway selection problem can be modeled as a Markov Decision Process (MDP). Decision rules can thus be defined and applied to select personalized learning pathways to optimize student learning outcome according to desired performance criteria.","PeriodicalId":188900,"journal":{"name":"2016 IEEE 16th International Conference on Advanced Learning Technologies (ICALT)","volume":"27 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":"114532864","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}