&lt;p&gt;Digital Intelligence Fostered by Technology&lt;/p&gt;

Adams, Nan B.

doi:10.21061/jots.v30i2.a.5

Cited by 40 publications

(16 citation statements)

References 8 publications

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“…The largest difference by age occurs with those less than 50 years old and those older than 50 years, with the 3 age ranges of 18-26, 27-34 and 35-50 somewhat combined with less variability to each other and more variability with those over 50 years of age. This tracks previous research (Adams, 2004) that suggested a difference in ways of knowing may exist between those born before or after 1970.…”

Section: Discussion Of Resultssupporting

confidence: 90%

Digital Ethnicity - Emerging Profiles

Adams

DeVaney

2019

Proceedings of the 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019)

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Digital Ethnicity is a model developed to provide an organized method to define human interaction with digital communication technologies and the result of these interactions on cultural development. The ultimate goal for the development of Digital Ethnicity as a concept is to describe those aspects of digital ethnicity that influence society. These digital ethnic aspects are intended to guide thinking and provide insight into the social and educational needs of rapidly changing societal groupings by providing guidance for leaders and educators to address the biological, social and cognitive changes brought about by pervasive use of digital communication technologies. Digital Profiles have emerged by certain demographic characteristics-most notably, age and gender. This paper discusses these emerging profiles.

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Section: Discussion Of Resultssupporting

confidence: 90%

Digital Ethnicity - Emerging Profiles

Adams

DeVaney

2019

Proceedings of the 16th International Conference on Cognition and Exploratory Learning in Digital Age (CELDA 2019)

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“…Stemming from Gardner's intelligence classification scheme [148], a new form of intelligence known as "digital intelligence" was proposed as a response to the cultural change brought about by digital technologies [149]. "Digital Intelligence" however, like the CE, experiences the challenge of lack of a concise definition.…”

Section: Digital Intelligence To Enable a Ce-i40 Integrationmentioning

confidence: 99%

Digitisation and the Circular Economy: A Review of Current Research and Future Trends

et al. 2018

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Since it first appeared in literature in the early nineties, the Circular Economy (CE) has grown in significance amongst academic, policymaking, and industry groups. The latest developments in the CE field have included the interrogation of CE as a paradigm, and its relationship with sustainability and other concepts, including iterative definitions. Research has also identified a significant opportunity to apply circular approaches to our rapidly changing industrial system, including manufacturing processes and Industry 4.0 (I4.0) which, with data, is enabling the latest advances in digital technologies (DT). Research which fuses these two areas has not been extensively explored. This is the first paper to provide a synergistic and integrative CE-DT framework which offers directions for policymakers and guidance for future research through a review of the integrated fields of CE and I4.0. To achieve this, a Systematic Literature Review (SLR; n = 174) of the empirical literature related to digital technologies, I4.0, and circular approaches is conducted. The SLR is based on peer-reviewed articles published between 2000 and early 2018. This paper also summarizes the current trends in CE research related to manufacturing. The findings confirm that while CE research has been on the increase, research on digital technologies to enable a CE is still relatively untouched. While the “interdisciplinarity” of CE research is well-known, the findings reveal that a substantial percentage is engineering-focused. The paper concludes by proposing a synergistic and integrative CE-DT framework for future research developed from the gaps in the current research landscape.

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“…According to Adams (2004), by acknowledging a new type of intelligencethe digital intelligence and all its implications for education and communication, we become more aware of the need to develop effective strategies to accommodate this new style of learning. This new style of learning involves the use of multiple platforms that Generation Z can not live and learn without, that include social networking, blogs, personal websites, pinboarding, forums, and social gaming.…”

Section: Characteristics Of Generation Zmentioning

confidence: 99%

Effective Reading Strategies for Generation Z Using Authentic Texts

Bilonozhko¹,

Syzenko²

2020

Preprint

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The article deals with the use of effective reading strategies with Generation Z students based on a critical review of modern psychological and pedagogical studies of 'digital learners'. The relevance of the study is substantiated by the fact that the subjects of the modern educational process today are mostly representatives of Generation Z and their ways of study, preferences and values are bringing important changes to teaching and learning contexts. The purpose of the article is to analyse effective reading strategies using authentic texts. It features a brief overview of the studies devoted to the reading strategies and highlights the differences between reading skills and reading strategies. The authors explore the concept of authenticity of texts and tasks and suggest their highly motivational nature for digital learners. The article presents an analysis of Generation Z's unique characteristics and projects them onto the choice of effective reading strategies for digital learners. The article concludes with a discussion of pedagogical implications and a list of recommendations to consider when selecting effective reading strategies for language classrooms.

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<p>Digital Intelligence Fostered by Technology</p>

Cited by 40 publications

References 8 publications

Digital Ethnicity - Emerging Profiles

Digital Ethnicity - Emerging Profiles

Digitisation and the Circular Economy: A Review of Current Research and Future Trends

Effective Reading Strategies for Generation Z Using Authentic Texts

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