6,787 research outputs found

    Exploring self-regulation through learning navigation pathways in online learning during the pandemic

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    Abstract. Online learning has shown significant growth as a powerful alternative method to deliver learning through the pandemic situation. In the meantime, many studies have been attempting to investigate how to provide education within online platforms effectively; however, a few have examined how students regulate their learning during online courses. Through the lens of self-regulated learning theory and Zimmerman’s cyclical model (2000), the present study examines how successful students and less successful students regulate their learning in hypermedia contexts. Moreover, the research aims to explore self-regulatory behaviors via the learning pathways between successful students and less successful students in a learning management system. The process-oriented method was applied to investigate the student’s learning paths from the log data collected. The coding was done based on a new coding scheme created through the lens of self-regulated learning theories, in which half of the events were assigned with self-regulatory activities due to the lack of theoretical explanation. The frequency analysis and process mining analysis of coded learning events were generated to examine the differences in self-regulated learning between successful and less successful students. The results indicate how successful and less successful students regulate differently in their learning navigation. For educators, the study provides insights to better design online learning courses and suggests self-regulatory strategies to support students in hypermedia contexts

    Elements of digital media in vocabulary remote-learning achievement

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    The urge of finding the most suitable method of remote teaching in a pandemic situation has become the center of recent studies. Equipped with instructional scaffolding, the absence of a teacher as a mentor in an asynchronous online class could be replaced by more interesting media for students’ self-study. This study was to look at games, songs, and a movie as media to enhance students’ achievement in English vocabulary. Further, elements in each media were observed along with students’ perceptions to explain the affected area in detail. This descriptive quantitative study used paired samples t-test toward students’ post-test scores of a control group (n=100) and an experimental group (n=100) in vocabulary. Students’ perception of taking media as learning tools in experimental class was measured in a questionnaire to explain the results. Results showed that the significantly experimental group outperformed in the final score. Trend on students’ perception in an experimental group toward these teaching media involved shared and specific features in media design, psychological and pedagogic elements. Further, it turned out that some primary and subsidiary features in games exceeded two other media (songs and movies) in vice versa generating some recommendations for future improvement

    Review of Current Student-Monitoring Techniques used in eLearning-Focused recommender Systems and Learning analytics. The Experience API & LIME model Case Study

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    Recommender systems require input information in order to properly operate and deliver content or behaviour suggestions to end users. eLearning scenarios are no exception. Users are current students and recommendations can be built upon paths (both formal and informal), relationships, behaviours, friends, followers, actions, grades, tutor interaction, etc. A recommender system must somehow retrieve, categorize and work with all these details. There are several ways to do so: from raw and inelegant database access to more curated web APIs or even via HTML scrapping. New server-centric user-action logging and monitoring standard technologies have been presented in past years by several groups, organizations and standard bodies. The Experience API (xAPI), detailed in this article, is one of these. In the first part of this paper we analyse current learner-monitoring techniques as an initialization phase for eLearning recommender systems. We next review standardization efforts in this area; finally, we focus on xAPI and the potential interaction with the LIME model, which will be also summarized below

    Supporting self-regulated learning

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    Self-regulated learning (SRL) competences are crucial for lifelong learning. Their cultivation requires the right balance between freedom and guidance during the learning processes. Current learning systems and approaches, such as personal learning environments, give overwhelming freedom, but also let weak learners alone. Other systems, such as learning management systems or adaptive systems, tend to institutionalise learners too much, which does not support the development of SRL competences. This chapter presents possibilities and approaches to support SRL by the use of technology. After discussing the theoretical background of SRL and related technologies, a formal framework is presented that describes the SRL process, related competences, and guidelines. Furthermore, a variety of methods is presented, how learners can be supported to learn in a self-regulated way

    Emotive Vocabulary in MOOCs: Context & Participant Retention

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    Massive Online Open Courses (MOOCs) have been growing in popularity with educational researchers, instructors, and learners in online environments. Online discussions are as important in MOOCs as in other online courses. Online discussions that occur in MOOCs are influenced by additional factors resulting from their volatile and voluntary participation structure. This article aims to examine discussions that took place in MobiMOOC in the spring of 2011, a MOOC structured around mobile learning. This line of inquiry focused on language from the discussions that contained emotive vocabulary in the MobiMOOC discussion forums. Emotive vocabulary is words or phrases that are implicitly emotional (happy, sad, frustrated) or relate to emotional contexts (I wasn't able to...). This emotive vocabulary, when present, was examined to determine whether it could serve as a mechanism for predicting future and continued participation in the MOOC. In this research, narrative inquiry approach was used in order to shine a light on the possible predictive qualities of emotive text in both participants who withdrew from the course as well as moderately or moderately active participants. The results indicated that emotive vocabulary usage did not significantly predict or impact participation retention in MobiMOOC. (Contains 5 figures and 4 endnotes.)Fil: Koutropoulos, Apostolos. University of Massachussets; Estados UnidosFil: Gallagher, Michael Sean. University of London; Reino UnidoFil: Abajian, Sean C.. California State University; Estados UnidosFil: Inge de Waard. Institute of Tropical Medicine; BĂ©lgicaFil: Hogue, Rebecca Joanne. University of Ottawa; CanadĂĄFil: Keskin, NilgĂŒn Özdamar. Anadolu University; TurquĂ­aFil: Rodriguez, Carlos Osvaldo. Universidad Nacional de La Plata; Argentin

    An empirical investigation to examine the usability issues of using adaptive, adaptable, and mixed-initiative approaches in in-teractive systems

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    The combination of graphical user interface (GUI) and usability evaluation presents an advantage to mastering every piece of software and ensuring perfect quality of work. The increasing demand for online learning is becoming more important, both individually and academically. This thesis introduces and describes an empirical study to investigate and compare how vocabulary can be learned by using different interactive approaches; specifically, a static learning website (with straightforward words and meanings), an adaptable learning website (allowing the user to choose a learning method), an adaptive learning website (a system-chosen way of learning), and a mixed-initiative (mixing approaches and techniques). The purpose of this study is to explore and determine the effects of these approaches in learning vocabu-lary achievement to enhance vocabulary learning for non-English speakers. The par-ticipants were Arabic speakers. The three levels of vocabulary learning activities were categorised as easy, medium, and hard. The independent variables (IVs) were controlled during the experiment to ensure consistency and were as follows: tasks, learning effects, and time. The dependent variables (DVs) were learning vocabulary achievements and scores. Two aims were explored in relation to the effects of these approaches to achievement. The first related to learning vocabularies for non-English speakers tackling the difficulties of the English language and the second related to studying system usability of learning English vocabulary in terms of usability measures (efficiency, frequency of error occurrence, effectiveness, and satisfaction). For this purpose, a vocabulary-learning language website was designed, implement-ed, and tested empirically. To fulfill these requirements, it was first necessary to measure two usability components (efficiency and effectiveness) with a within-subject design of n = 24 subjects recruited and, for users’ satisfaction, a between-subject design of n = 99 subjects recruited, while investigating satisfaction with a system usability scale (SUS) survey. The results and data analysis were described. Overall, the results shown were all satisfactory

    Decoding learning: the proof, promise and potential of digital education

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    With hundreds of millions of pounds spent on digital technology for education every year – from interactive whiteboards to the rise of one–to–one tablet computers – every new technology seems to offer unlimited promise to learning. many sectors have benefitted immensely from harnessing innovative uses of technology. cloud computing, mobile communications and internet applications have changed the way manufacturing, finance, business services, the media and retailers operate. But key questions remain in education: has the range of technologies helped improve learners’ experiences and the standards they achieve? or is this investment just languishing as kit in the cupboard? and what more can decision makers, schools, teachers, parents and the technology industry do to ensure the full potential of innovative technology is exploited? There is no doubt that digital technologies have had a profound impact upon the management of learning. institutions can now recruit, register, monitor, and report on students with a new economy, efficiency, and (sometimes) creativity. yet, evidence of digital technologies producing real transformation in learning and teaching remains elusive. The education sector has invested heavily in digital technology; but this investment has not yet resulted in the radical improvements to learning experiences and educational attainment. in 2011, the Review of Education Capital found that maintained schools spent £487 million on icT equipment and services in 2009-2010. 1 since then, the education system has entered a state of flux with changes to the curriculum, shifts in funding, and increasing school autonomy. While ring-fenced funding for icT equipment and services has since ceased, a survey of 1,317 schools in July 2012 by the british educational suppliers association found they were assigning an increasing amount of their budget to technology. With greater freedom and enthusiasm towards technology in education, schools and teachers have become more discerning and are beginning to demand more evidence to justify their spending and strategies. This is both a challenge and an opportunity as it puts schools in greater charge of their spending and use of technolog
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