{"title":"In memory of Luigi Colazzo","authors":"N. Villa","doi":"10.20368/1971-8829/1135130","DOIUrl":"https://doi.org/10.20368/1971-8829/1135130","url":null,"abstract":"","PeriodicalId":44748,"journal":{"name":"Journal of E-Learning and Knowledge Society","volume":"13 1","pages":"5-6"},"PeriodicalIF":1.1,"publicationDate":"2019-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79160040","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. D. Santis, Katia Sannicandro, C. Bellini, T. Minerva
{"title":"Predictive Model Selection for Completion Rate in Massive Open Online Courses","authors":"A. D. Santis, Katia Sannicandro, C. Bellini, T. Minerva","doi":"10.20368/1971-8829/1135034","DOIUrl":"https://doi.org/10.20368/1971-8829/1135034","url":null,"abstract":"","PeriodicalId":44748,"journal":{"name":"Journal of E-Learning and Knowledge Society","volume":"25 1","pages":"145-159"},"PeriodicalIF":1.1,"publicationDate":"2019-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84337270","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. Barana, A. Conte, C. Fissore, M. Marchisio, S. Rabellino
{"title":"LEARNING ANALYTICS TO IMPROVE FORMATIVE ASSESSMENT STRATEGIES","authors":"A. Barana, A. Conte, C. Fissore, M. Marchisio, S. Rabellino","doi":"10.20368/1971-8829/1135057","DOIUrl":"https://doi.org/10.20368/1971-8829/1135057","url":null,"abstract":"","PeriodicalId":44748,"journal":{"name":"Journal of E-Learning and Knowledge Society","volume":"55 1","pages":"75-88"},"PeriodicalIF":1.1,"publicationDate":"2019-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85212907","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. Marchisio, S. Rabellino, F. Roman, M. Sacchet, D. Salusso
{"title":"Boosting up data collection and analysis to learning analytics in open online contexts: an assessment methodology","authors":"M. Marchisio, S. Rabellino, F. Roman, M. Sacchet, D. Salusso","doi":"10.20368/1971-8829/1135048","DOIUrl":"https://doi.org/10.20368/1971-8829/1135048","url":null,"abstract":"Nowadays learning analytics has been growing as a science, and at the University of Turin we are interested in its potential to enhance both the teaching and the learning experience. In the last few years we have gathered data from two projects: Orient@mente, and start@unito, with the latter offering open online university courses in various disciplines. In addition, we have also studied and analysed the results of the teacher training experience carried out for the start@unito project, as well as those obtained from a survey involving secondary school teachers and the possible employment of the start@unito OERs in their everyday teaching. Our sources of data are students’ activity online, the results of formative automatic assessment, and the questionnaires given to the learners; the types of questions range from Likert scale evaluations to multiple choice, yes/no and a few open questions. In this paper we discuss the different tasks we completed in our projects and evaluate their adherence with the learning analytics techniques","PeriodicalId":44748,"journal":{"name":"Journal of E-Learning and Knowledge Society","volume":"5 1","pages":"49-59"},"PeriodicalIF":1.1,"publicationDate":"2019-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90586847","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":"Disciplinary and didactic profiles in the EduOpen network MOOCs","authors":"Bojan Fazlagic, L. Cecconi","doi":"10.20368/1971-8829/1135064","DOIUrl":"https://doi.org/10.20368/1971-8829/1135064","url":null,"abstract":"","PeriodicalId":44748,"journal":{"name":"Journal of E-Learning and Knowledge Society","volume":"191 1","pages":"11-27"},"PeriodicalIF":1.1,"publicationDate":"2019-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86236206","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}
R. Capone, Ritamaria Bucciarelli, E. Javier, G. Marianna, Giulia Savarese, F. S. Tortoriello
{"title":"Learning Analytics - Scientific Description and Heuristic Validation of Languages NLG","authors":"R. Capone, Ritamaria Bucciarelli, E. Javier, G. Marianna, Giulia Savarese, F. S. Tortoriello","doi":"10.20368/1971-8829/1135040","DOIUrl":"https://doi.org/10.20368/1971-8829/1135040","url":null,"abstract":"The educator is a “Translator” ie manufacturer of algorithms for a teaching in the infosphere. The teacher who turns into a robotic mind perhaps of the type R2D2 a research droid, will be the emblem of our future. The work aims to validate the moments of transformation through which, over the centuries, the mathematical sciences, with the help of philosophy, have elevated the languages Natural Language Generation (NLG) to formal models. The starting hypothesis is to corroborate an epistemological statute, which entrusts mental processes with logical-mathematical reasoning following four models: Chomsky (1956), which, with descriptive grammar, marks a new model for the rewriting of languages; Gross (1975), which, with the relationship between linguistics, informatics and mathematics, generates a relation concerning a strongly transdisciplinary domain, in which linguistics","PeriodicalId":44748,"journal":{"name":"Journal of E-Learning and Knowledge Society","volume":"23 1","pages":"251-261"},"PeriodicalIF":1.1,"publicationDate":"2019-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"83716547","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":"Which Learning Analytics for a socio-constructivist teaching and learning blended experience?","authors":"N. Sansone, D. Cesareni","doi":"10.20368/1971-8829/1135047","DOIUrl":"https://doi.org/10.20368/1971-8829/1135047","url":null,"abstract":"The contribution describes and problematizes the use of learning analytics within a blended university course based on a socio-constructivist approach and aimed at constructing artefacts and knowledge. Specifically, the authors focus on the assessment system adopted in the course, deliberately inspired by the principles of formative assessment: an ongoing assessment in the form of feedback shared with the students, and which integrates the teacher’s assessment with self-assessment and peer-assessment. This system obviously requires the integration of qualitative procedures from teachers and tutors and quantitative managed through the reporting functions of the LMS and online tools used for the course. The contribution ends with a reflection on the possibilities of technological development of learning analytics within the learning environment, such as to better support constructivist teaching: Learning Analytics that comes closest to social LA techniques providing the teacher with a richer picture of the student’s behaviour and learning processes.","PeriodicalId":44748,"journal":{"name":"Journal of E-Learning and Knowledge Society","volume":"89 1","pages":"319-329"},"PeriodicalIF":1.1,"publicationDate":"2019-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75836753","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":"Use of Learning Analytics between formative and summative assessment","authors":"Carlo Palmiero, L. Cecconi","doi":"10.20368/1971-8829/1135019","DOIUrl":"https://doi.org/10.20368/1971-8829/1135019","url":null,"abstract":"The field of study within which this work is placed is that of data produced within digital learning environments, a field of research now known as Learning Analytics (LA). In particular, the aim is to investigate the relationship between the standard psychometric properties of the test questions and the information obtained from the log files produced during its administration, on a large scale, by computer. The results of this type of survey can help to make visible the intersections between formative assessment and summative assessment and to renew, in this way, the evaluation practices of a rapidly expanding sector such as digital education.","PeriodicalId":44748,"journal":{"name":"Journal of E-Learning and Knowledge Society","volume":"112 1","pages":"89-99"},"PeriodicalIF":1.1,"publicationDate":"2019-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"85883071","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}
Nan Yang, P. Ghislandi, J. Raffaghelli, G. Ritella
{"title":"Data-Driven Modeling of Engagement Analytics for Quality Blended Learning","authors":"Nan Yang, P. Ghislandi, J. Raffaghelli, G. Ritella","doi":"10.20368/1971-8829/1135027","DOIUrl":"https://doi.org/10.20368/1971-8829/1135027","url":null,"abstract":"Engagement analytics is a branch of learning analytics (LA) that focuses on student engagement, with most studies conducted by computer scientists. Thus, rather than focusing on learning, research in this field usually treats education as a scenario for algorithms optimization and it rarely concludes with implications for practice. While LA as a research field is reaching ten years, its contribution to our understanding of teaching and learning and its impact on learning enhancement are still underdeveloped. This paper argues that data-driven modeling of engagement analytics is helpful to assess student engagement and to promote reflections on the quality of teaching and learning. In this article, the authors a) introduce four key constructs (student engagement, learning analytics, engagement analytics, modeling and data-driven modeling); b) explain why data-driven modeling is chosen for engagement analytics and the limitations of using a predefined framework; c) discuss how to use engagement analytics to promote pedagogical reflection","PeriodicalId":44748,"journal":{"name":"Journal of E-Learning and Knowledge Society","volume":"18 1","pages":"211-225"},"PeriodicalIF":1.1,"publicationDate":"2019-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77843099","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":"Reflecting a… “Bit”. What relationship between metacognition and ICT?","authors":"A. Cadamuro, E. Bisagno, C. Pecini, L. Vezzali","doi":"10.20368/1971-8829/1135025","DOIUrl":"https://doi.org/10.20368/1971-8829/1135025","url":null,"abstract":"Using Information and Communication Technologies (ICT) in educational environments has become widespread in latest years. Since research underlined the important role played by metacognition and self-regulation abilities in fostering learning outcomes, the relationship between these aspects appears to be particularly worthy of investigation. In this review, we present 14 studies that have deepened the relationship between ICT, metacognitive skills and learning outcomes by identifying two main categories. Some articles investigated the effects of ICT environments combined with metacognitive aspects of learning outcomes, while others investigated the reciprocal relationship between ICT and metacognition. In general, from our review, the interaction between ICT and metacognition in producing better learning outcomes appears well established and the results highlight a bi-directional relationship between metacognition and ICT, but also allow to draw attention to gaps requiring further research.","PeriodicalId":44748,"journal":{"name":"Journal of E-Learning and Knowledge Society","volume":"3 1","pages":"183-195"},"PeriodicalIF":1.1,"publicationDate":"2019-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87809538","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}