Evidence map›Paper›PMID 37159754›Full record

ArticleMedical journal of the Islamic Republic of Iran2022

Comparison of Students' Attitudes about the Effectiveness of Algorithm-based Education with Lecture-based Education.

Ali Yeganeh, Mehdi Moghtadaei, Soodabeh Hoveidamanesh, Ghobad Ramezani, Akram Hashemi

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Article in Medical journal of the Islamic Republic of Iran, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Harnessing Social Media to Enhance Nephrology Academia.JNMA; journal of the Nepal Medical Association · 2023
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4 · The record

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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

5 authors.

Ali YeganehBone and Joint Reconstruction Research Center, Shafa Orthopedic Hospital, Iran University of Medical Science, Tehran, Iran.
Mehdi MoghtadaeiBone and Joint Reconstruction Research Center, Shafa Orthopedic Hospital, Iran University of Medical Science, Tehran, Iran.
Soodabeh HoveidamaneshBurn research center, Iran University of Medical Sciences, Tehran, Iran.
Ghobad RamezaniEducation Development Center, Kermanshah University of Medical Sciences, Kermanshah, Iran.
Akram HashemiDepartment of Medical Ethics, School of Medicine, Iran University of Medical Sciences, Tehran, Iran.ORCID https://orcid.org/0000-0002-4394-5106

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Training is a complex process, especially when the students are being prepared for patient's management. Therefore, the development of effective teaching methods is critical for to improvement of learning and communication between the content and concepts. In algorithm-based education, more focus is placed on more involvement of students in the subject, thereby providing a better understanding of the concept. In this study, we compared students' attitudes about the effectiveness of algorithm-based education (education based on the patient's complaints and symptoms) with lecture-based education in the learning ability of the medical students presented in the clinical course of the orthopedic group. Methods: This research is a single-group quasi-experimental study; we assessed the students' attitudes on a five-point Likert scale questionnaire with confirmed validity and reliability. The scores of two teaching methods were assessed after the training course, which was presented using the algorithmic method for selective titles and lectures for the other titles. Data were analyzed on SPSS software using a paired t-test. Results: A total of 220 internship medical students, including 58.7% of girls with a mean age of 22.9 ± 1.19 years, participated in the study. The mean score of the questions was 3.92±0.54 and 2.17±0.58 in the algorithmic and the lecture training, respectively. After comparing the results with a paired t-test, there was a significant difference between students' attitudes toward the two teaching methods ( Conclusion: For the education of medical students, algorithm-based training is more efficacious compared to traditional methods such as lecture-based training.

Indexed as

Algorithm-based educationClinical courseClinical TeachingOrthopedics

Identifiers

PMID37159754
PMCPMC10163211

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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.