Evidence map›Paper›PMID 37131354›Full record

ArticleJournal of physical therapy science2023

The significance of information and communication technology education via tablets in college of physical therapy.

Takashi Yoshizawa, Yusuke Kuwahara, Katsuhiko Mizota, Haruki Kogo, Shinichi Tanaka, Masahiro Kitamura, Takayuki Nagasaki

Abstract read
In one paragraph

Article in Journal of physical therapy science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Takashi YoshizawaDepartment of Physical Therapy, Fukuoka Wajiro Professional Training College: 2-1-13 Wajirogaoka, Higashiku, Fukuoka-city, Fukuoka 811-0213, Japan.
Yusuke KuwaharaDepartment of Physical Therapy, Shimonoseki Nursing & Rehabilitation School, Japan.
Katsuhiko MizotaSchool of Physical Therapy, Faculty of Rehabilitation, Reiwa Health Sciences University, Japan.
Haruki KogoSchool of Physical Therapy, Faculty of Rehabilitation, Reiwa Health Sciences University, Japan.
Shinichi TanakaSchool of Physical Therapy, Faculty of Rehabilitation, Reiwa Health Sciences University, Japan.
Masahiro KitamuraSchool of Physical Therapy, Faculty of Rehabilitation, Reiwa Health Sciences University, Japan.
Takayuki NagasakiSchool of Physical Therapy, Faculty of Rehabilitation, Reiwa Health Sciences University, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

[Purpose] This study aimed to clarify whether collaborative learning could be promoted via information and communication technology education using tablets at college of physical therapy. [Participants and Methods] An online survey was conducted to evaluate collaborative learning among 81 first-year students at the Department of Physical Therapy actively using tablets in classes (six specific categories). [Results] The Friedman test had significant results, and a significant primary effect was observed between each questionnaire item. Following this, the Bonferroni test was performed for multiple comparisons, with significant differences were observed among certain items. [Conclusion] We reported employing tablets in the classroom positively impacted collaborative learning. Here, among the evaluations of collaborative learning, the items with the best results corresponded mainly to communication activation between students.

Indexed as

Collaborative learningInformation and communication technology (ICT) educationTablet

Identifiers

PMID37131354
PMCPMC10149303

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.