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Record W2884587081 · doi:10.2196/10203

Web-Based Learning for Children in Pediatric Care: Qualitative Study Assessing Educational Challenges

2018· article· en· W2884587081 on OpenAlexvenueno aff
Gunilla Lööf, Nina Andersson, Klas Karlgren, Charlotte Silén

Bibliographic record

VenueJMIR Perioperative Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicPediatric Pain Management Techniques
Canadian institutionsnot available
Fundersnot available
KeywordsWeb applicationMedical educationPsychologyMedicineNursingComputer scienceWorld Wide Web

Abstract

fetched live from OpenAlex

BACKGROUND: Hospitalization is a significant and stressful experience for children, which may have both short-term and long-term negative consequences. Anaesthesia-Web is a Web-based preparation program that has been well received and is being used worldwide to reduce stressful experiences, increase understanding, and exchange information in pediatric care. A deeper theoretical and educational understanding encompassing children's learning processes on Anaesthesia-Web may optimize and support the development and design of similar websites for children in pediatric care. OBJECTIVE: The objective of this study was to elucidate key educational principles in the development and design of websites for children in pediatric care. METHODS: A directed qualitative content analysis was applied to analyze the content and design of Anaesthesia-Web from a theoretical and educational perspective. preunderstanding, motivation, learning processes, and learning outcome were used to analyze the learning possibilities of Anaesthesia-Web for children prior to contact with pediatric care. RESULTS: We found 4 themes characterizing children's learning opportunities on Anaesthesia-Web in the analysis: "In charge of my learning"; "Discover and play"; "Recognize and identify"; and "Getting feedback". The analysis showed that Anaesthesia-Web offers children control and enables the use of the website based on interest and ability. This is important in terms of motivation and each child's individual preunderstanding. Through discovery and play, children can receive, process, and apply the information on Anaesthesia-Web cognitively, emotionally, and by active participation. Play stimulates motivation and is very important in a child's learning process. When facing pediatric care, children need to develop trust and feel safe so that they can focus on learning. On Anaesthesia-Web, children can recognize situations and feelings and can find someone with whom to identify. Several features on the website promote feedback, which is necessary to judge learning achievements, confirm understanding, and embody the need for repetition. CONCLUSIONS: Web-based preparation programs are important learning resources in pediatric care. Content and design needs to change from simply providing information to embracing the importance of a child's need to process information to learn and fully understand. By developing Web-based preparation programs that include educational principles, Web-based technology can be used to its fullest advantage as a learning resource for children. The 4 educational themes described in this study should help future similar website developments within pediatric care.

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)0.002
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.178
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.041
GPT teacher head0.422
Teacher spread0.381 · 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 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".

Quick stats

Citations6
Published2018
Admission routes1
Has abstractyes

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