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 (1/1 displayed)

  • 2018Using Concept Inventories to Measure Understanding65citations

Places of action

Chart of shared publication
Sands, David
1 / 1 shared
Hedgeland, Holly
1 / 2 shared
Parker, Mark
1 / 1 shared
Galloway, Ross
1 / 1 shared
Chart of publication period
2018

Co-Authors (by relevance)

  • Sands, David
  • Hedgeland, Holly
  • Parker, Mark
  • Galloway, Ross
OrganizationsLocationPeople

article

Using Concept Inventories to Measure Understanding

  • Sands, David
  • Hedgeland, Holly
  • Parker, Mark
  • Jordan, Sally
  • Galloway, Ross
Abstract

Measuring understanding is notoriously difficult. Indeed, in formulating learning outcomes the word “understanding” is usually avoided, but in the sciences, developing understanding is one of the main aims of instruction.Scientific knowledge is factual, having been tested against empirical observation and experimentation, but knowledge of facts alone is not enough. There are also models and theories containing complex ideas and inter-relationships that must be understood, and considerable attention has been devoted across a range of scientific disciplines to measuring understanding. This case study will focus on one of the main tools employed: the concept inventory and in particular the Force Concept Inventory. The success of concept inventories in physics has spawned concept inventories in chemistry, biology, astronomy, materials science and maths, to name a few.We focus here on the FCI, ask how useful concept inventories are for evaluating learning gains. Finally, we report on recent work by the authors to extend conceptual testing beyond the multiple-choice format.

Topics
  • impedance spectroscopy