A Measurement Model of Connectivism in Adopting Web 2.0

Yusof, Siti Ilyana Mohd; Jumahat, Tajulashikin; Mohamed, Zulkifley; Ubaidullah, Nor Hasbiah

doi:10.1166/asl.2015.6210

Cited by 2 publications

(2 citation statements)

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“…In this sense, Web X.0 technologies enhance communication skills and can be used for formal instructional design [45][46][47]. Social networking sites have become part of learners' everyday lives [48]. These sites take into account the social nature of knowledge construction and together with Web X.0 entail the creation of personal knowledge in different contexts and with varied characteristics.…”

Section: Literature Review Of Connectivismmentioning

confidence: 99%

“…Yusof et al [48] have explored five factors of connectivism using principal component analysis and tested it using confirmatory factor analysis. This model of connectivism can be explained by five factors: diversity, openness, autonomy, interactivity and self-regulated strategies, which turn out to be fundamental for the adoption of Web X.0 in a given context.…”

Section: Literature Review Of Connectivismmentioning

confidence: 99%

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Neuro-Competence Approach for Sustainable Engineering

et al. 2021

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Manufacturing systems under Industry 4.0, and their transition towards Industry 5.0, take into account the Quintuple Helix innovation model, associated with the sustainable development goals (SDGs) set by the UN and Horizon 2030, in which companies focus on operational efficiency in terms of the use and minimisation of resources for the protection of the environment. In this respect, the implementation of the circular economy model, which requires engineers to acquire appropriate competencies, enabling companies to establish this model at the manufacturing level. Moreover, competence has always been a priority for both the professional and the company. In this sense, connectivism has been called a learning theory for the digital era; this is the reason why a review of the state-of-the-art developments of this paradigm focused on engineering has been carried out. In this sense, the potential of the digital transformation in instruction to formulate an engineering model based on neuro-competences is of great interest, taking the connectivist paradigm as a methodological axis. To this end, a first bibliometric analysis has been carried out to identify the drivers on which to base the design of the neuro-competencies of the instructional engineering environment and the trend towards curriculum development under dual training models. The bibliographical research carried out on the connectivist paradigm has served to identify the trends followed to date in education within the subject area of engineering. These trends have not fully taken into account the leading role of the human factor within the socio-technical cyber-physical systems of sustainable manufacturing (SCSSM). The focus was more on the technology than on the adaptation of the uniqueness of the human factor and the tasks entrusted to him, which entails an additional complexity that needs to be addressed in both academic and professional contexts. In light of the foregoing, an improvement to the acquisition and management of competencies has been proposed to the academic, professional and dual engineering contexts. It is based on the transversal inclusion of the concept of neuro-competence applied to the competence engineering (CE) model, transforming it into the neuro-competence engineering (NCE) model. The foregoing provides a better match between the characteristics of the human factor and the uniqueness of the tasks performed by the engineer, incorporating activity theory (AT), the law of variety required (LVR), the connectivist paradigm and neuroscience as a transversal driver of innovation through fractality. This proposal enables a ubiquitous and sustainable learning model throughout the entire academic and professional life cycle of the engineer, placing it sustainably at the heart of the instructional and professional cyber-physical socio-technical system, thus complying with the SDGs set by the UN and Horizon 2030.

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Section: Literature Review Of Connectivismmentioning

confidence: 99%

Section: Literature Review Of Connectivismmentioning

confidence: 99%

Neuro-Competence Approach for Sustainable Engineering

et al. 2021

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Competency levels and influential factors of college students’ mobile learning readiness in Thailand

Diteeyont,

Heng-Yu

2023

Smart Learn. Environ.

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One of the key successes of learning through mobile technology comes from the competencies of learners. This study aimed to investigate the overall competency levels of mobile learning readiness and four influential factors (connectivist learners, technology readiness, self-directed learning, and netiquette) that may impact college students’ mobile learning readiness in Thailand. The surveys were given to 583 Thai college students who came from various fields such as Social Science, Agriculture, Engineering and Computer Science, and Science. Descriptive statistical procedures were used to generate overall mobile learning readiness and the confirmatory factor analysis was used to determine whether the competencies of connectivist learners, technology readiness, self-directed learning, and netiquette influence the mobile learning readiness of college students in Thailand. The results showed that overall mobile learning readiness among Thai college students was at a high level in which learners’ competency in technology readiness was the most influential factor related to their mobile learning readiness, followed by the competencies of self-directed learning, netiquette, and connectivist learners. The results of this study could provide useful guidance for instructors in designing effective instruction, activities, and learning materials that encourage learners to be successful in the mobile learning environment. The future study may explore other related factors such as learners’ cultural backgrounds, educational systems, or government supports that may influence mobile learning readiness among learners in higher education in different countries.

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A Measurement Model of Connectivism in Adopting Web 2.0

Cited by 2 publications

References 0 publications

Neuro-Competence Approach for Sustainable Engineering

Neuro-Competence Approach for Sustainable Engineering

Competency levels and influential factors of college students’ mobile learning readiness in Thailand

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