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Educational Outcomes of Sensor-Equipped Medical Chairs in UAE Grade 12 Health Curriculum: A Mixed-Methods Study on Authentic Clinical Simulation

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Title: Educational Outcomes of Sensor-Equipped Medical Chairs in UAE Grade 12 Health Curriculum: A Mixed-Methods Study on Authentic Clinical Simulation
Language: English
Authors: Saif Al Neyadi (ORCID 0000-0003-0349-6569), Enas Abulibdeh, Ameera Almessabi (ORCID 0000-0002-6143-0026)
Source: Educational Process: International Journal. Article e2026011 2026 20.
Availability: UNIVERSITEPARK Limited. iTOWER Plaza (No61, 9th floor) Merkez Mh Akar Cd No3, Sisli, Istanbul, Turkey 34382. e-mail: editor@edupij.com; Web site: http://www.edupij.com/
Peer Reviewed: Y
Page Count: 19
Publication Date: 2026
Document Type: Journal Articles
Reports - Research
Education Level: Grade 12
High Schools
Secondary Education
Descriptors: Foreign Countries, Grade 12, Computer Simulation, Health Education, Artificial Intelligence, Technology Uses in Education, High School Students, Thinking Skills, Technological Literacy, Knowledge Level, Motivation, Pedagogical Content Knowledge, Data Use, Measurement Equipment, Furniture, Physiology
Geographic Terms: United Arab Emirates
ISSN: 2147-0901
2564-8020
Abstract: Background/purpose: This study addresses the growing need for technologically enhanced clinical simulation tools within the UAE Ministry of Education's Grade 12 Health & Artificial Intelligence curriculum. Traditional manikin-based simulations provide limited opportunities for authentic data-driven learning. To address this gap, the study evaluates sensor-equipped medical chairs as a transformative pedagogical tool. Guided by TPACK, SAMR, conceptual change theory, and Vygotsky's Zone of Proximal Development (ZPD), the purpose of the study was to examine how real-time clinical data can enhance students' clinical decision-making, technological literacy, health knowledge, and intrinsic motivation, while also validating the clinical accuracy of the sensor systems. Materials/Methods: A mixed-methods design was employed across two phases. In the educational phase (N = 60 Grade 12 students), a pre-post quasi-experimental design compared students using live sensor data in simulated clinics (n = 30) with peers using traditional manikins (n = 30). In the clinical validation phase (N = 230), pre- and post-assessments were conducted across three UAE hospitals to evaluate clinical accuracy. Quantitative measures included clinical reasoning scores, technological literacy, health knowledge, and motivation; qualitative artefacts included student-created diagnostic outputs aligned with SAMR levels. Results: Students using sensor-equipped chairs demonstrated significant gains: +8.7 points in clinical reasoning (d = 0.72, p < 0.001), +22.2% in technological literacy (d = 0.81), +4.6 points in health knowledge (d = 0.94), and +1.8 in intrinsic motivation (d = 0.65). Additionally, 88% of students produced artefacts that met the SAMR "Redefinition" criteria. Clinical accuracy increased by 4.42 points in the hospital validation sample (d = 0.41).
Abstractor: As Provided
Entry Date: 2026
Accession Number: EJ1497344
Database: ERIC
FullText Text:
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  Data: Educational Outcomes of Sensor-Equipped Medical Chairs in UAE Grade 12 Health Curriculum: A Mixed-Methods Study on Authentic Clinical Simulation
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  Data: Background/purpose: This study addresses the growing need for technologically enhanced clinical simulation tools within the UAE Ministry of Education&#39;s Grade 12 Health &amp; Artificial Intelligence curriculum. Traditional manikin-based simulations provide limited opportunities for authentic data-driven learning. To address this gap, the study evaluates sensor-equipped medical chairs as a transformative pedagogical tool. Guided by TPACK, SAMR, conceptual change theory, and Vygotsky&#39;s Zone of Proximal Development (ZPD), the purpose of the study was to examine how real-time clinical data can enhance students&#39; clinical decision-making, technological literacy, health knowledge, and intrinsic motivation, while also validating the clinical accuracy of the sensor systems. Materials/Methods: A mixed-methods design was employed across two phases. In the educational phase (N = 60 Grade 12 students), a pre-post quasi-experimental design compared students using live sensor data in simulated clinics (n = 30) with peers using traditional manikins (n = 30). In the clinical validation phase (N = 230), pre- and post-assessments were conducted across three UAE hospitals to evaluate clinical accuracy. Quantitative measures included clinical reasoning scores, technological literacy, health knowledge, and motivation; qualitative artefacts included student-created diagnostic outputs aligned with SAMR levels. Results: Students using sensor-equipped chairs demonstrated significant gains: +8.7 points in clinical reasoning (d = 0.72, p &lt; 0.001), +22.2% in technological literacy (d = 0.81), +4.6 points in health knowledge (d = 0.94), and +1.8 in intrinsic motivation (d = 0.65). Additionally, 88% of students produced artefacts that met the SAMR &quot;Redefinition&quot; criteria. Clinical accuracy increased by 4.42 points in the hospital validation sample (d = 0.41).
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RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 19
    Subjects:
      – SubjectFull: Foreign Countries
        Type: general
      – SubjectFull: Grade 12
        Type: general
      – SubjectFull: Computer Simulation
        Type: general
      – SubjectFull: Health Education
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      – SubjectFull: Artificial Intelligence
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      – SubjectFull: Technology Uses in Education
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      – SubjectFull: High School Students
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      – SubjectFull: Thinking Skills
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      – SubjectFull: Technological Literacy
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      – SubjectFull: Motivation
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      – SubjectFull: Measurement Equipment
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      – SubjectFull: Furniture
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      – SubjectFull: Physiology
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      – SubjectFull: United Arab Emirates
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      – TitleFull: Educational Outcomes of Sensor-Equipped Medical Chairs in UAE Grade 12 Health Curriculum: A Mixed-Methods Study on Authentic Clinical Simulation
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