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Record W4321844879 · doi:10.12753/2066-026x-12-047

DIGITAL LEARNERS AT THE OPEN UNIVERSITY OF CATALONIA: A SKEPTICAL VIEW OF THE PHENOMENON OF THE NET GENERATION

2012· article· en· W4321844879 on OpenAlexaboutno aff
Marc Romero Carbonell, Montse Guitert catasús, Albert Sangrà, Mark Bullen

Bibliographic record

VenueeLearning and Software for Education · 2012
Typearticle
Languageen
FieldComputer Science
TopicDigital literacy in education
Canadian institutionsnot available
Fundersnot available
KeywordsImmediacyPhenomenonContext (archaeology)SkepticismDigital nativeInformation and Communications TechnologyExperiential learningHigher educationPedagogySociologyMathematics educationComputer scienceMedia studiesPolitical sciencePsychologyWorld Wide WebEpistemologyGeography

Abstract

fetched live from OpenAlex

Some authors, most of them from the United States, have stated that university students born after 1982 have been profoundly influenced by the advent of digital technologies, showing different characteristics when compared to previous generations. These students, called the \\\\\\\"Net Generation\\\\\\\", are supposed to be digitally literate, continuously connected, showing a need for immediacy in receiving information, preference for social activities, being active experiential learners, showing a capacity to carry out several tasks simultaneously and being involved in the community (Oblinger & Oblinger, 2005; Prensky, 2005; Palfrey & Gasser, 2008). However, it is worth asking if that is a current observable phenomenon. Are those students at the UOC born after the 80s really more familiar with ICT tools than those born in previous generations? Do they show different study habits and learning paths? Different research lines (Kennedy et al., 2008, Bennett, et al, 2008; Guo et al, 2008, Selwyn, 2009, Bullen et al, in press) highlight that scientific data or statistics are rarely used when discussing this generation’s characteristics. The international research project, Digital Learners in Higher Education seeks to develop a sophisticated and evidence-based understanding of university learners in different institutional contexts and the perception of cultures in their use of technology in a social and educational context. This project endeavours to understand the problem in depth and to observe what the growing use of new digital technologies means for teaching and learning in higher education. This research project is led by the British Columbia Institute of Technology and includes the University of Regina and the Open University of Catalonia (UOC). The research questions of this study are: • Do postsecondary students distinguish their social and educational use of ICTs? • What impact does student social use of ICTs have on postsecondary learning environments? • What is the relationship between social and educational uses of ICTs in postsecondary education? In order to find out students’ social and educational use of ICTs in three different contexts, we use a multi-case study embedded design (Yin, 2009). The cases consist of three distinct postsecondary institutional contexts: a Canadian polytechnic teaching institution (BCIT), a Canadian research-intensive university (University of Regina) and a European fully online university (Open University of Catalonia). In the first phase of the study, BCIT partners reviewed the literature and checked some of the claims about Net Gen students. Specifically, the aims of this phase were to determine whether or not students at the BC Institute of Technology (BCIT) fit the Net Generation’s profile as portrayed in the previously revised literature, and to try to understand how BCIT learners use various information and communication technologies. The review of the literature suggests that the discourse about the impact of new digital technologies on postsecondary education has been dictated by speculation, anecdotal observations and proprietary research that is difficult to assess. We found that there is no empirical basis for most of the arguments that have been made (Bullen et al., 2009a). In the second phase of the study, a survey was designed by BCIT partners in order to gather information about students’ communication and study habits. Later, the UOC partners adapted the survey to the characteristics of their cross-over “ICT Competences” course, in which students developed a research project in groups; taking into account that this is a course studied by approximately 3,000 students per semester. In this paper, the 1,036 student responses to the survey are deeply analysed in order to demonstrate that there is no statistically significant relationship between our student’s age and the Net Generation’s characteristics. In order to go beyond our analysis and considering the features of the ICT competences’ course, the relationship between student age and their perception about the time dimension of studying online and collaborative online learning will also be deeply analysed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.070

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0040.007
Scholarly communication0.0090.004
Open science0.0010.005
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0030.001

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 head0.016
GPT teacher head0.253
Teacher spread0.237 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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".

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Citations3
Published2012
Admission routes1
Has abstractyes

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