Evidence map›Paper›PMID 36901193›Full record

ArticleInternational journal of environmental research and public health2023

Termbot: A Chatbot-Based Crossword Game for Gamified Medical Terminology Learning.

Mei-Hua Hsu, Tien-Ming Chan, Chi-Shun Yu

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Article in International journal of environmental research and public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Review
  7. Review
  8. Article
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

3 authors.

Mei-Hua HsuCenter for General Education, Chang Gung University of Science and Technology, Taoyuan City 33303, Taiwan.ORCID 0000-0003-2689-9774
Tien-Ming ChanChang Gung Memorial Hospital, Chang Gung University, Taoyuan City 33303, Taiwan.ORCID 0000-0002-0753-4529
Chi-Shun YuDepartment of Electrical Engineering, National Taipei University of Technology, Taipei City 10608, Taiwan.ORCID 0000-0002-5253-4149

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Medical terminology can be challenging for healthcare students due to its unfamiliar and lengthy terms. Traditional methods such as flashcards and memorization can be ineffective and require significant effort. To address this, an online chatbot-based learning model called Termbot was designed to provide an engaging and convenient method for enhancing medical terminology learning. Termbot, accessible through the LINE platform, offers crossword puzzles that turn boring medical terms into a fun learning experience. An experimental study was conducted, which showed that students who trained with Termbot made significant progress in learning medical terms, demonstrating the potential of chatbots to improve learning outcomes. Termbot's gamified approach to learning can also be applied to other fields, making it a useful tool for students to learn medical terminology conveniently and enjoyably.

Indexed as

Education, MedicalEducation, Medical, UndergraduateHumansLearningStudentschatbotcrossword puzzleslinemedical terminologyM-learning

Identifiers

PMID36901193
PMCPMC10002060

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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.