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The Kids Are Alright – Or, Are They?: The Millennial Generation’s Technology Use and Intelligence – an Assessment of the Literature

2009· article· en· W1763151281 on OpenAlexaffvenue
Jennifer L. Horwath, Cynthia Williamson

Bibliographic record

VenuePartnership The Canadian Journal of Library and Information Practice and Research · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsMohawk College
Fundersnot available
KeywordsUsabilityAppealField (mathematics)PsychologyThe InternetFocus groupWorld Wide WebFocus (optics)Computer scienceSociologyPolitical science

Abstract

fetched live from OpenAlex

The Millennials (born between 1979 and 1988) have been described in the library and education literature as a unique generation who are more technologically advanced and of higher intelligence than preceding generations. They have also been described as being extremely adept at using Web 2.0 technologies and avid content creators on the Internet. Commentators in the literature suggest that libraries focus their energies on designing services that appeal to this technically sophisticated user group. The authors examine some of the statements made about this generation by leaders in the field of librarianship and education in light of actual data and studies and conclude that these assertions do not seem to be based on solid research. The authors find that the Millennial generation may not be as unique as described; their technical abilities and use of Web 2.0 tools do not seem to be so very different from those of people in older age groups. Also, research into IQ scores and brain development does not positively confirm that this generation is any more intelligent than people in previous generations. The paper concludes with recommendations for libraries and educational institutions that serve this generation. The authors suggest that librarians take a more critical approach when evaluating research about the Millennial generation. In addition, the authors recommend that libraries investigate the true nature of their users through focus groups, surveys, usability studies or other methods so that they can develop services that meet actual needs and abilities.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.753
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0030.001
Scholarly communication0.0020.009
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.078
GPT teacher head0.410
Teacher spread0.332 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designTheoretical or conceptual
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2009
Admission routes2
Has abstractyes

Explore more

Same venuePartnership The Canadian Journal of Library and Information Practice and ResearchSame topicImpact of Technology on AdolescentsFrench-language works237,207