Diagram Interpretation and e-Learning Systems

نویسندگان

  • Neil Smith
  • Pete G. Thomas
  • Kevin G. Waugh
چکیده

We describe a system capable of grading free-form diagrammatic answers. Our matches meaningful parts of a diagram with equivalents in a model solution. This is complicated by errors, omissions, and superfluous items in the student answer. The result of matching is used to calculate the grade and generate appropriate feedback; it performs at least as well as a human marker on a variety of diagram types. We describe tools that allow the easy creation of questions, marking schemes, and diagram editors suitable for embedding in a VLE quiz engine.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Mothers' Interpretation of E-learning during COVID-19 Pandemic

The global spread of COVID-19 has caused disruptions in many aspects of our lives. Education systems worldwide have changed dramatically. Numerous countries have encouraged schools to shift to e-learning and, as a result, parental involvement in their children’s education has changed. This study focused on mothers’ involvement in children’s education during the COVID-19 pandemic and probed thei...

متن کامل

Constrained Seismic Sequence Stratigraphy of Asmari - Kajhdumi interval with well-log Data

Sequence stratigraphy is a key step in interpretation of the seismic reflection data. It was originally developed by seismic specialists, and then the usage of high-resolution well logs and core data was taken into consideration in its implementation. The current paper aims in performing sequence stratigraphy using three-dimensional seismic data, well logs (gamma ray, sonic, porosity, density, ...

متن کامل

The Prediction of Forming Limit Diagram of Low Carbon Steel Sheets Using Adaptive Fuzzy Inference System Identifier

The paper deals with devising the combination of fuzzy inference systems (FIS) and neural networks called the adaptive network fuzzy inference system (ANFIS) to determine the forming limit diagram (FLD). In this paper, FLDs are determined experimentally for two grades of low carbon steel sheets using out-of-plane (dome) formability test. The effect of different parameters such as work hardening...

متن کامل

Mapping Sequence diagram in Fuzzy UML to Fuzzy Petri Net

This ability in fuzzy UML, practically leaves the customers and market’s need without response in this important and vital area. Here, the available sequence diagrams in fuzzy UML will map into fuzzy Petri net. However, the formal models ability will be added to the Semi-formal fuzzy UML. This formalization will add the automatic processing ability to the Semi-formal fuzzy UML. Further more, t...

متن کامل

CLARET: A new Relational Learning Algorithm for Interpretation in Spatial Domains

A new learning algorithm: Consolidated Learning Algorithm based on Relational Evidence Theory (CLARET) is presented, which integrates a machine learning methods with graph matching techniques. A systematic approach to nding interpretations is demonstrated for an on-line, hand drawn, schematic diagram and symbols recognition system. The approach uses an adaptive representational bias and search ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2010