Evidence map›Paper›PMID 39844132›Full record

ArticleBMC medical education2025

Effects of computer-assisted learning for removable partial denture design on learning outcomes and satisfaction.

Prinn Chantanahom, Chaiy Rungsiyakull, Marisa Sukapattee, Pisaisit Chaijareenont, Pimduen Rungsiyakull

Abstract read
In one paragraph

Article in BMC medical education, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

5 authors.

Prinn ChantanahomDepartment of Prosthodontics, Faculty of Dentistry, Chiang Mai University, Chiang Mai, 50200, Thailand.
Chaiy RungsiyakullDepartment of Mechanical Engineering, Faculty of Engineer, Chiang Mai University, Chiang Mai, Thailand.
Marisa SukapatteeDepartment of Prosthodontics, Faculty of Dentistry, Chiang Mai University, Chiang Mai, Thailand.
Pisaisit ChaijareenontDepartment of Prosthodontics, Faculty of Dentistry, Chiang Mai University, Chiang Mai, Thailand.
Pimduen RungsiyakullDepartment of Prosthodontics, Faculty of Dentistry, Chiang Mai University, Chiang Mai, Thailand. pimduen.rungsiyakull@cmu.ac.th.

Funding

Chiang Mai University R65IN00014
6 · The paper itself

Abstract

backgroundComputer-assisted learning (CAL) has the potential to enhance learning outcomes and satisfaction. However, there are limited reports in the literature that describe or evaluate the implementation of this method to promote competency-based learning in removable partial denture (RPD) design. Therefore, this study aimed to: (1) compare the effectiveness of different learning methods using a 3D software-aided RPD design program, (2) evaluate the learning outcomes associated with these different methods following active learning, and (3) assess students' satisfaction.

methodsForty undergraduate dentistry students were divided into four groups of ten students. Each group was assigned different learning methods for a period of 28 days using the CMU-3D RPD Design program. The learning methods included lecture-based learning (LBL), case-based learning (CBL), a combination of LBL and CBL, and a control group that did not engage in LBL or CBL. Following this period, participants in all four groups engaged in active learning activities related to RPD design. Learning outcomes were measured three times: prior to the experiment, after using the software, and after participating in active learning activities.

resultsAnalysis of pre- and post-training assessments using multiple-choice questions revealed that dental students in the combined LBL and CBL group demonstrated statistically significant improvements in test scores compared to baseline (p < 0.05). Notably, there were marked enhancements in comprehension, application, and analysis skills. Outcomes following active learning were significantly improved in groups with a foundation in lecture-based learning. Furthermore, all groups reported high levels of satisfaction (over 90%) after utilizing the software and participating in active learning activities.

conclusionsComputer-assisted learning, combined with active learning strategies, improves learners' outcomes and satisfaction. Learning RPD design through computer-assisted methods positively influenced learning outcomes, particularly when both lecture-based and case-based learning approaches were used. Active learning strategies resulted in more substantial improvements when applied to students with a strong foundation in lecture-based learning.

Indexed as

Computer-Assisted InstructionDenture DesignDenture, Partial, RemovableEducation, DentalStudents, DentalEducational MeasurementFemaleHumansMalePersonal SatisfactionProblem-Based LearningActive learningCompetency-based learningComputer-assisted learningRPD design softwareStudent satisfactionTheory–technology alignment framework

Identifiers

PMID39844132
PMCPMC11752780

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.