Evidence map›Paper›PMID 36236732›Full record

ReviewSensors (Basel, Switzerland)2022

Wearable Sensors for Learning Enhancement in Higher Education.

Sara Khosravi, Stuart G Bailey, Hadi Parvizi, Rami Ghannam

Open access · goldAbstract readReview
In one paragraph

Review in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 3 pooled it
6.0field-weighted citation impact, top 3% of its field
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

9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  4. Review
  5. Article
  6. 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

4 authors at 2 institutions in 1 country.

Sara KhosraviJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0001-9412-1556
Stuart G BaileyThe Glasgow School of Art, Glasgow G3 6RQ, UK.ORCID 0000-0003-2168-6841
Hadi ParviziPetroxin Ltd., London HA8 7JU, UK.ORCID 0000-0001-9719-0901
Rami GhannamJames Watt School of Engineering, University of Glasgow, Glasgow G12 8QQ, UK.ORCID 0000-0001-6910-9280
University of Glasgow · GBGlasgow School of Art · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable sensors have traditionally been used to measure and monitor vital human signs for well-being and healthcare applications. However, there is a growing interest in using and deploying these technologies to facilitate teaching and learning, particularly in a higher education environment. The aim of this paper is therefore to systematically review the range of wearable devices that have been used for enhancing the teaching and delivery of engineering curricula in higher education. Moreover, we compare the advantages and disadvantages of these devices according to the location in which they are worn on the human body. According to our survey, wearable devices for enhanced learning have mainly been worn on the head (e.g., eyeglasses), wrist (e.g., watches) and chest (e.g., electrocardiogram patch). In fact, among those locations, head-worn devices enable better student engagement with the learning materials, improved student attention as well as higher spatial and visual awareness. We identify the research questions and discuss the research inclusion and exclusion criteria to present the challenges faced by researchers in implementing learning technologies for enhanced engineering education. Furthermore, we provide recommendations on using wearable devices to improve the teaching and learning of engineering courses in higher education.

Indexed as

Wearable Electronic DevicesHuman BodyHumansMonitoring, PhysiologicTechnologyWristengineering educationlearning technologiestechnology enhanced learningwearable sensors

Identifiers

PMID36236732
PMCPMC9573685
OpenAlexW4303982471

What OpenQuestion holds

Textmetadata
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.