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Record W1593755386 · doi:10.19173/irrodl.v12i6.1018

Distance students’ readiness for social media and collaboration

2011· article· en· W1593755386 on OpenAlexaffvenueabout
Bruno Poëllhuber, Terry Anderson, Normand Roy

Bibliographic record

VenueThe International Review of Research in Open and Distributed Learning · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsUniversité du Québec à Trois-RivièresAthabasca UniversityUniversité de Montréal
Fundersnot available
KeywordsAffordanceDistance educationSocial mediaPsychologyVariety (cybernetics)InstitutionHigher educationMedical educationPedagogySociologyPolitical scienceSocial scienceComputer scienceMedicineWorld Wide Web

Abstract

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<p>In recent years, there has been a rapid growth in the use of social networking tools (e.g., Facebook) and social media in general, mainly for social purposes (Smith, Salaway & Caruso 2009). Many educators, including ourselves, believe that these tools offer new educational affordances and avenues for students to interact with each other and with their teachers or tutors. Considering the traditional drop-out rate problem documented in distance courses (Rovai, 2003; Woodley, 2004), these tools may be of special interest for distance education institutions as they have potential to assist in the critical “social integration” associated with persistence (Sweet, 1986; Tinto, 1975). However, as distance students are typically older than regular on-campus students, (Bean & Metzner, 1985; Rovai, 2003) little is known about their expertise with social media or their interest in harnessing these tools for informal learning or collaborating with peers.</p><p> </p><p>To investigate these issues, an online questionnaire was distributed to students from four large Canadian distance education institutions. A systematic sampling procedure lead to 3462 completed questionnaires. The results show that students have diverse views and experiences, but they also show strong and significant age and gender differences in a variety of measures, as well as an important institution effect for interest in collaboration. Males and younger students score higher on almost all indicators, including cooperative preferences. The limits of the study and future developments and research questions are outlined.</p><input id="gwProxy" type="hidden" /><input id="jsProxy" onclick="if(typeof(jsCall)=='function'){jsCall();}else{setTimeout('jsCall()',500);}" type="hidden" /><div id="leoHighlights_iframe_modal_div_container" style="position: absolute; visibility: hidden; display: none; width: 520px; height: 391px; z-index: 2147483647;" onmouseover="leoHighlightsHandleIFrameMouseOver();" onmouseout="leoHighlightsHandleIFrameMouseOut();"><!-- Top iFrame --> <!-- Bottom iFrame --></div><span id="leoHighlights_iframe_modal_span_container"><script type="text/javascript">// <![CDATA[ var LEO_HIGHLIGHTS_INFINITE_LOOP_COUNT = 300; var LEO_HIGHLIGHTS_MAX_HIGHLIGHTS = 50; var LEO_HIGHLIGHTS_IFRAME_TOP_ID = "leoHighlights_top_iframe"; var LEO_HIGHLIGHTS_IFRAME_BOTTOM_ID = "leoHighlights_bottom_iframe"; var LEO_HIGHLIGHTS_IFRAME_DIV_ID = "leoHighlights_iframe_modal_div_container"; var LEO_HIGHLIGHTS_IFRAME_TOTAL_COLLAPSED_WIDTH 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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)0.007
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.822
Threshold uncertainty score0.516

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
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 head0.163
GPT teacher head0.508
Teacher spread0.345 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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

Citations112
Published2011
Admission routes3
Has abstractyes

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