Materials Map

Discover the materials research landscape. Find experts, partners, networks.

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The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

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Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (3/3 displayed)

  • 2021Is Test-Enhanced Learning the Key to Improving Laparoscopic Box Trainer Simulation Training?2citations
  • 2019Optimizing Nanohydroxyapatite Nanocomposites for Bone Tissue Engineering103citations
  • 2002Performance of an energy resolving X-ray pixel detector7citations

Places of action

Chart of shared publication
Angstetra, D.
1 / 1 shared
Jordan, S.
1 / 1 shared
Ng, J.
1 / 3 shared
Walsh, L. J.
1 / 1 shared
Hardy, John George
1 / 10 shared
Passmore, Ms
1 / 3 shared
Prydderch, M.
1 / 2 shared
Seller, P.
1 / 7 shared
Bates, R.
1 / 4 shared
Thomas, Sl
1 / 1 shared
Iles, G.
1 / 1 shared
Smith, K.
1 / 9 shared
Mathieson, Keith
1 / 10 shared
Derbyshire, G.
1 / 1 shared
Gannon, Wjf
1 / 1 shared
Chart of publication period
2021
2019
2002

Co-Authors (by relevance)

  • Angstetra, D.
  • Jordan, S.
  • Ng, J.
  • Walsh, L. J.
  • Hardy, John George
  • Passmore, Ms
  • Prydderch, M.
  • Seller, P.
  • Bates, R.
  • Thomas, Sl
  • Iles, G.
  • Smith, K.
  • Mathieson, Keith
  • Derbyshire, G.
  • Gannon, Wjf
OrganizationsLocationPeople

document

Is Test-Enhanced Learning the Key to Improving Laparoscopic Box Trainer Simulation Training?

  • Angstetra, D.
  • Jordan, S.
  • Ng, J.
  • Lowe, B.
Abstract

<b>Introduction</b>:Simulationisaneffectivetrainingapproachfor laparoscopic surgery, but motivation and engagement of traineesto utilise laparoscopic trainers is variable. Test- enhanced learning (TEL) –using defined assessments throughout training –may offer at least part of the solution. The objective of this study was to as-sess the effects of TEL on a laparoscopic simulation program for medical students. <b>Methods:</b> A mixed methods cohort study was performed with a convenience sample of 40 medical students who were recruited to participate in a 10- week laparoscopic simulation program, using box trainers. Twenty students participated within a test- enhanced learning framework (‘TEL group’) and 20 students participated in the standard program (‘control group’). All students were invited tocompleteasurveyrelatingtotheirexperienceinthetrainingprogram. <b>Results</b>: Attendance in the TEL group was significantly higher than the control group 71% vs 51.5% p = 0.023. The TEL group also had faster mean time scores for all laparoscopic exercises performed at the end of the program, but the difference was notstatisticallysignificant.Fourthemeswereidentifiedfrom survey responses to influence engagement –1) personal traits and motivation, 2) training context, 3) clear goals in the training process and 4) feedback enabling understanding of one’s own performance. <b>Discussion:</b>Testingoflaparoscopicskillsduringthephaseof learning in conjunction with individualised feedback and tracking of learning trajectory may increase trainee engagement with lapa-roscopic simulation training.

Topics
  • impedance spectroscopy
  • simulation
  • secondary electron spectroscopy