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Record W1492918031 · doi:10.18438/b8vc9q

Collaborative Learning is an Effective Method for Improving the E-health Literacy of Older Adults in the Community

2011· article· en· W1492918031 on OpenAlexvenueno aff
Theresa Arndt

Bibliographic record

VenueEvidence Based Library and Information Practice · 2011
Typearticle
Languageen
FieldHealth Professions
TopicHealth Literacy and Information Accessibility
Canadian institutionsnot available
Fundersnot available
KeywordsCurriculumMedical educationPsychologyTest (biology)Class (philosophy)Intervention (counseling)LiteracyGerontologyMedicinePedagogyComputer scienceNursing

Abstract

fetched live from OpenAlex

Objective – To determine whether collaborative learning strategies in an informal class setting can improve electronic health literacy skills of older adults.
 
 Design – Pre- and post-test instruments used to measure effects of an educational intervention.
 
 Setting – Small group classes offered at two branches of a large, publicly funded, urban public library in Maryland.
 
 Subjects – A total of 111 adults aged 52 to 91, mean age 70.4 (SD 8.0), completed the study. The majority of participants were from minority populations (66% African American, 3% Latino, 3% Asian). Thirty three percent of participants reported an annual household income below $20,000. Eight percent were non-native English speakers. The majority of participants had low-level or no computer/Internet experience prior to the study.
 
 Methods – Collaborative learning strategies were used in small group hands-on computer classes to deliver a standardized curriculum (Helping Older Adults Search for Health Information Online: A Toolkit for Trainers from the National Institute on Aging). Strategies employed were: explicit statement of group/participatory nature of class, periodic peer shared reflection times during class, active encouragement of discussion between peers, hands-on work with partners, group discussion of real-life questions from participants, and structured shared reflection time at the close of each session. Participants were recruited through local advertisements. No incentive other than the free classes was offered. Groups met for two hours, twice a week for four weeks. Assessment was via pre and post-tests. General computing knowledge/skills were measured using objective tests of abilities. Questions from several established scales were adapted for additional assessment. E-health literacy was measured using questions of perceived skill and comfort in finding health information online; perceived usefulness of the Internet for help making health decisions; and perceived importance of the Internet for obtaining health information. Subjects were also asked to report on changes to their health behaviour/decision- making post intervention, and learning effort expended during the study. Additional questions measured psychological adjustment to later life, attitudes toward computers, attitude toward the aging experience, and attitude toward the collaborative learning method and the class. 
 
 Main Results – A dependent t-test analysis indicated strong significant gains post-test in computing/Internet knowledge and skills, and in e-health literacy efficacy (perceived skills/comfort with using the Internet for health information and decision-making). Pre-test results showed participants to be low on these measures, leaving much room for improvement. Perception of the usefulness and importance of the Internet for health decision-making also showed strong gains.
 
 Significant positive changes were also found in these areas of attitude: reduction of computer anxiety, attitude toward physical changes associated with aging, and improvement in attitude toward the collaborative learning method. 
 
 A majority of participants indicated altering health-related behaviours as a result of the class, including changing the way they think about diet or exercise, changing the way they cope with a condition, and changing their approach to maintaining health. 
 
 The results showed no significant change in self-esteem, self-efficacy, and psychological attitudes toward aging. Computer interest and efficacy also showed no significant change, perhaps because participants already measured high in these prior to the intervention.
 
 The amount of time participants spent preparing for class correlated significantly to e-health literacy efficacy and perceived importance of Internet health information, but not to other outcome measures. 
 
 Group composition (gender, peer familiarity, prior computer experience) did not affect outcomes; however composition was uneven, as groups were small and variable in size, and 71% of participants were female.
 
 Conclusion – The study supports the use of a collaborative learning approach to effectively deliver e-health literacy instruction to older adults in a community setting.

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)0.016
metaresearch head score (Gemma)0.006
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.431
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0160.006
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.000
Scholarly communication0.0000.173
Open science0.0000.000
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 head0.043
GPT teacher head0.438
Teacher spread0.395 · 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 designQualitative
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

Citations4
Published2011
Admission routes1
Has abstractyes

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