Evidence map›Paper›PMID 37361734›Full record

ArticleEducation and information technologies2023

Developing a personalised, evidence-based and inclusive learning (PEBIL) model of blended learning: A cross-sectional survey.

Athanasios Hassoulas, Andreia de Almeida, Hannah West, Mohamed Abdelrazek, Marcus J Coffey

Abstract read
In one paragraph

Article in Education and information technologies, 2023. 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
  2. Article
  3. 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

5 authors.

Athanasios HassoulasSchool of Medicine, Cardiff University, 905 Neuadd Meirionnydd, Heath Park, Cardiff, CF14 4YS UK.ORCID 0000-0002-1029-1847
Andreia de AlmeidaSchool of Medicine, Cardiff University, 905 Neuadd Meirionnydd, Heath Park, Cardiff, CF14 4YS UK.
Hannah WestSchool of Medicine, Cardiff University, 905 Neuadd Meirionnydd, Heath Park, Cardiff, CF14 4YS UK.
Mohamed AbdelrazekSchool of Medicine, Cardiff University, 905 Neuadd Meirionnydd, Heath Park, Cardiff, CF14 4YS UK.
Marcus J CoffeySchool of Medicine, Cardiff University, 905 Neuadd Meirionnydd, Heath Park, Cardiff, CF14 4YS UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Whilst the use of various blended learning models preceded the COVID-19 pandemic, the abrupt shift to remote delivery served as catalyst within the sector in enhancing digital solutions to meet immediate student needs. As we emerge from the pandemic, a return to purely didactic and impersonal in-person teaching seems anticlimactic, with the return to the lecture theatre seeing many lecturers trialling various digital tools in creating more interactive in-person, synchronous, and asynchronous sessions. In evaluating students' experiences of the various tools and approaches applied by academic staff, a survey was developed by a multidisciplinary team of educators at Cardiff University's School of Medicine exploring student perceptions of e-learning resources (ELRs), as well as student experiences of various blended learning approaches. The primary aim of this study was to evaluate student experience, satisfaction, and engagement with ELRs and blended learning. A total of 179 students (undergraduate and postgraduate) completed the survey. 97% confirmed that e-learning resources were blended within the teaching they received, with 77% rating the quality of e-learning as good-to-excellent and 66% reporting a preference for asynchronous resources that enable them to learn at their own pace. A variety of platforms, tools, and approaches were identified by students as meeting their diverse learning needs. We therefore propose a personalised, evidence-based and inclusive learning (PEBIL) model enabling the application of digital technologies both on and offline.

Indexed as

Blended learningDigital educationMedical educationOnline educational technologies

Identifiers

PMID37361734
PMCPMC10071269

What OpenQuestion holds

Textmetadata
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.