Ubiquitous learning model using interactive internet messenger group (IIMG) to improve engagement and behavior for smart campus

Umam, Khothibul; Mardi, Supeno; Hariadi, Mochamad

doi:10.1088/1742-6596/801/1/012083

Cited by 6 publications

(6 citation statements)

References 10 publications

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“…With regard to real deployment tests, several studies have conducted them, such as Tortorella et al [32], who applied them to driving training. With respect to application domain, some are specific, for example plant education [27], teacher training [28], mathematics [39], use of text messages [2],…”

Section: Literature Reviewmentioning

confidence: 99%

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A Ubiquitous Learning Model for Education and Training Processes Supported by TV Everywhere Platforms

López¹,

Burgos²,

Builes³

2022

Int. J. Emerg. Technol. Learn.

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Advances in technology and digital convergence, for example Netflix, enable users to view TV and video without time or place restrictions. These advances can be applied in education and training processes to enable ubiquitous learning (u-learning). However, a literature review (of the years 2002 to 2018) on u-learning models yielded scarce information about its implementation, specifically demonstrating a lack of application alternatives that could provide access to TV regardless of place and device. To contribute to this and other challenges in education, the objective of this study is to propose a reference model for u-learning implementation involving cloud-supported TV/video platforms. The model was validated in a university context by a group of experts and applied through a prototype in a real setting with students, and it showed favourable results and improvement in student performance.

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Section: Literature Reviewmentioning

confidence: 99%

“…In ISO/IEC [1], u-learning is defined as learning that is stimulated and supported through various means and is always readily accessible. U-learning is not limited to a single place, which allows the expansion of learning experiences [2]. Students can access learning resources in an easier and more convenient way [3].…”

Section: Introductionmentioning

confidence: 99%

A Ubiquitous Learning Model for Education and Training Processes Supported by TV Everywhere Platforms

López¹,

Burgos²,

Builes³

2022

Int. J. Emerg. Technol. Learn.

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“…The concept was tested in a 1.5 km by 1.5 km district of their campus. Umam et al [134] presented an ubiquitous learning model design and explains how it can improve the experience of learners using interactive internet messenger groups (IIMG) for learner-learner and learner-instructor interactions. Two lecturers of UIN Walisongo Semarang (Indonesia) and 147 learners were recruited to test IIMG, and based on a questionnaire, IIMG appeared to be effective for engaging students in the learning process and collaborate.…”

Section: Knowledge Transfer and Collaborationmentioning

confidence: 99%

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

et al. 2021

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Novel intelligent systems to assist the energy transition and improve sustainability and people's life can be deployed at different scales, ranging from a house to an entire region. University campuses are an interesting intermediate size (big enough to matter and small enough to be tractable) for research, development, test and training on the integration of smartness at all levels, which led to the emergence of the concept of "smart campus" over the last few years. This review article proposes an extensive analysis of the scientific literature on smart campuses from the last decade (2010-2020). The 182 selected publications are distributed into seven categories of smartness: smart building, smart environment, smart mobility, smart living, smart people, smart governance and smart data. The main open questions and challenges regarding smart campuses are presented at the end of the review and deal with sustainability and energy transition, acceptability and ethics, learning models, open data policies and interoperability. The present work was carried out within the framework of the Energy Network of the Regional Leaders Summit (RLS-Energy) as part of its multilateral research efforts on smart regions.

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“…In order to identify and analyze the behavioural patterns that affect students' academic performance in the undergraduate computer programming course, Premchaiswadi et al [26] integrated various subjects such as process mining, e-learning, and educational data mining to discuss the opportunity to apply event modelling and process management technologies in e-learning systems. Umam et al [27] showed the design of an ubiquitous learning model and demonstrated the learners' experiences in improved engagement and behaviour when IIMG was used for learner-lecturer interaction, with the aim of identifying ubiquitous learning scenarios, understanding learners' and lecturers' impressions about engagement and behaviours and their contributions to learning.…”

Section: Introductionmentioning

confidence: 99%

Features of Group Online Learning Behaviours Based on Data Mining

Zhu¹,

Wang²,

Wang³

2022

Int. J. Emerg. Technol. Learn.

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With the development of information technology, how to scientifically and properly organizing and guiding learners to learn actively and efficiently has become a research subject for domestic and foreign scholars. However, existing research on online learning behaviours studied little about learning attitudes, learning preferences, student-student interaction, teacher-student interaction and so on. To this end, this paper studies the features of group online learning behaviours based on data mining. In this paper, a K-means-based group online learning behaviour feature selection model and an AdaBoost-based group online learning behaviour classification model were constructed, and the processing methods, execution processes and algorithm functions of the two models were described in detail. Finally, the effectiveness of the constructed models was verified through an experiment.

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Ubiquitous learning model using interactive internet messenger group (IIMG) to improve engagement and behavior for smart campus

Cited by 6 publications

References 10 publications

A Ubiquitous Learning Model for Education and Training Processes Supported by TV Everywhere Platforms

A Ubiquitous Learning Model for Education and Training Processes Supported by TV Everywhere Platforms

Smart Campuses: Extensive Review of the Last Decade of Research and Current Challenges

Features of Group Online Learning Behaviours Based on Data Mining

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