96 research outputs found

    How do we model learning at scale?:A systematic review of research on MOOCs

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    Despite a surge of empirical work on student participation in online learning environments, the causal links between the learning-related factors and processes with the desired learning outcomes remain unexplored. This study presents a systematic literature review of approaches to model learning in Massive Open Online Courses offering an analysis of learning-related constructs used in the prediction and measurement of student engagement and learning outcome. Based on our literature review, we identify current gaps in the research, including a lack of solid frameworks to explain learning in open online setting. Finally, we put forward a novel framework suitable for open online contexts based on a well-established model of student engagement. Our model is intended to guide future work studying the association between contextual factors (i.e., demographic, classroom, and individual needs), student engagement (i.e., academic, behavioral, cognitive, and affective engagement metrics), and learning outcomes (i.e., academic, social, and affective). The proposed model affords further interstudy comparisons as well as comparative studies with more traditional education models. </jats:p

    Achievements and challenges in learning analytics in Spain: The view of SNOLA

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    [EN] As in other research fields, the development of learning analytics is influenced by the networks of researchers that contribute to it. This paper describes one of such networks: the Spanish Network of Learning Analytics (SNOLA). The paper presents the research lines of the members of SNOLA, as well as the main challenges that learning analytics has to address in the next few years as perceived by these researchers. This analysis is based on SNOLA’s archival data and on a survey carried out to the current members of the network. Although this approach does not cover all the activity related to learning analytics in Spain, the results provide a representative overview of the current state of research related to learning analytics in this context. The paper describes these trends and the main challenges, among which we can point out the need to adopt an ethical commitment with data, to develop systems that respond to the requirements of the end users, and to reach a wider institutional impact.[ES] Tal y como ocurre en otros campos de investigación, el desarrollo de la analítica del aprendizaje está influido por las redes de investigadores que contribuyen al mismo. Este artículo describe una de estas redes: la Red Española de Analítica de Aprendizaje (SNOLA). El artículo presenta las líneas de investigación de los miembros de SNOLA, así como los principales retos que la analítica del aprendizaje tiene que afrontar en los próximos años desde la visión de estos investigadores. Este análisis está basado en datos de archivo de SNOLA y en una encuesta realizada a los actuales miembros de la red. Aunque esta aproximación no cubre toda la actividad relacionada con analítica del aprendizaje en España, los resultados proporcionan una visión general representativa del estado de la investigación relacionada con analítica del aprendizaje en dicho contexto. El artículo muestra cuáles son estas tendencias y los principales retos, entre los que se encuentran la necesidad de adoptar un compromiso ético con los datos, desarrollar sistemas que respondan a las necesidades de los usuarios y alcanzar mayor impacto institucional.SIMinisterio de Ciencia, Innovación y Universidades ( RED2018-102725-T)Ministerio de Ciencia, Innovación y Universidades (TIN2016-80172-R)Junta de Castilla y León (VA257P18)Gobierno Vasco (IT980-16)Generalitat de Catalunya (2017SGR1619)Gobierno de la Comunidad de Madrid (S2018/TCS-4307

    Analysis of Learning Behavior and Pattern of Online Learners on a MOOC Platform

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    Understanding a learner in an online environment can ensure success of an online course. The present study determines learning behavior and learning pattern among learners on the MOOC platform established for running an online course offered at ICAR-National Academy of Agricultural Research Management (NAARM), Hyderabad, India. The demographic description and significant difference between learning patterns of the learners on MOOC according to their subject domain were analyzed by using Moodle LMS (Learning Management System). The learner group was found to comprise in majority as males or doctorate degree holders, and of agriculture domain. Most of the learners were found to be passive who were frequently engaging in the course in terms of learning behavior which indicates their way of participating in the course. Majority of the learners had moderate interest and seriousness to learn the subject. With regard to course participation which is measured in Course log-in patterns, learners with subject domains like Engineering and Agribusiness Management and Agriculture and Veterinary streams had similarity in course participation. Among the weekly participation, there was a significant increase in course participation towards course ending irrespective of subject domains which indicates the participants’ urge to complete the course for certification. The key observations found through study can be of paramount importance in designing a successful MOOC with better completion rates. Keywords: Massive Open Online Courses, Learning behavior, Learning pattern, Learning Management System. DOI: 10.7176/JEP/12-13-03 Publication date:May 31st 2021

    Logros y retos en analítica del aprendizaje en España: La perspectiva de SNOLA

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    As in other research fields, the development of learning analytics is influenced by the networks of researchers that contribute to it. This paper describes one of such networks: the Spanish Network of Learning Analytics (SNOLA). The paper presents the research lines of the members of SNOLA, as well as the main challenges that learning analytics has to address in the next few years as perceived by these researchers. This analysis is based on SNOLA’s archival data and on a survey carried out to the current members of the network. Although this approach does not cover all the activity related to learning analytics in Spain, the results provide a representative overview of the current state of research related to learning analytics in this context. The paper describes these trends and the main challenges, among which we can point out the need to adopt an ethical commitment with data, to develop systems that respond to the requirements of the end users, and to reach a wider institutional impact.Tal y como ocurre en otros campos de investigación, el desarrollo de la analítica del aprendizaje está influido por las redes de investigadores que contribuyen al mismo. Este artículo describe una de estas redes: la Red Española de Analítica de Aprendizaje (SNOLA). El artículo presenta las líneas de investigación de los miembros de SNOLA, así como los principales retos que la analítica del aprendizaje tiene que afrontar en los próximos años desde la visión de estos investigadores. Este análisis está basado en datos de archivo de SNOLA y en una encuesta realizada a los actuales miembros de la red. Aunque esta aproximación no cubre toda la actividad relacionada con analítica del aprendizaje en España, los resultados proporcionan una visión general representativa del estado de la investigación relacionada con analítica del aprendizaje en dicho contexto. El artículo muestra cuáles son estas tendencias y los principales retos, entre los que se encuentran la necesidad de adoptar un compromiso ético con los datos, desarrollar sistemas que respondan a las necesidades de los usuarios y alcanzar mayor impacto institucional

    An Integrated Learning Analytics Approach for Virtual Vocational Training Centers

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    Virtual training centers are hosted solutions for the implementation of training courses in the form of e.g. Webinars. Many existing centers neglect the informal and social dimension of vocational training as well as the legitimate business interests of training providers and companies sending their employees. In this paper, we present the virtual training center platform V3C that blends formal, certified virtual training courses with self-regulated and social learning in synchronous and asynchronous learning phases. We have developed an integrated learning analytics approach to collect, store, analyze and visualize data for different purposes like certification, interventions and gradual improvement of the platform. The results given here demonstrate the ability of the platform to deliver data for key performance indicators like learning outcomes and drop-out rates as well as the interplay between synchronous and asynchronous learning phases on a very large scale. Since the platform implementation is open source, results can be easily transferred and exploited in many contexts

    The research observatory on the massive online open courses: MOOCSERVATORIO®

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    The new modality of expansion of knowledge (MOOCs), the Massive, Open and Online Courses, which are part of the new educational contexts of most international prestigious universities, can be considered as a dymanic curricular element in the biotic ecosystems of educational institutions, limited in time and space and frequently reserved for social elites. In this way, it will be possible to transcend to new ubiquitous, connective, informal, and horizontal learning scenarios that facilitate the digital inclusion of the most disadvantaged people. Currently, the extraordinary increase in the educational offer of MOOC courses could lead, in most cases, to students’ disorientation. In this sense, the object of this article is to justify the need to design and elaborate a research observatory on MOOCs: MOOCservatorio®, in order to expand scientific knowledge and social empowerment

    Research challenges in accessible MOOCs: a systematic literature review 2008–2016

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    Massive open online courses (MOOCs) have a prominent role in achieving universal e-education, i.e., education offered via the Internet to diverse learners around the world independently of their motivations, backgrounds, capacities, and limitations. Regrettably, current MOOCs platforms and contents are not accessible enough for all learners. This study presents the results of a systematic literature review on the combined field of accessible MOOCs that covers from the years 2008 to 2016. We followed a four-staged method than included a within-study and between-study literature analysis, and a descriptive synthesis. A total of 40 relevant studies was identified and mapped to eight research dimensions that form a lifecycle: problem characterization; needs identification; use of industry guidelines, specifications and standards; accessibility requirements specification; architectures; design strategies; verification of accessibility requirements compliance; and validation of user needs satisfaction. The results presented in this study give a head start to researchers interested in pursuing the combined field of accessible MOOCs, providers of MOOCs platforms and contents, as well as decision-makers of educational institutions that offer e-education can also benefit
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