Contacto

Ver ítem 
  •   udiMundus Principal
  • Investigación
  • Participaciones en congresos
  • Ver ítem
  •   udiMundus Principal
  • Investigación
  • Participaciones en congresos
  • Ver ítem
  • Mi cuenta
JavaScript is disabled for your browser. Some features of this site may not work without it.

Listar

Todo udiMundusComunidades y ColeccionesAutoresTítulosMateriasTipos documentalesEsta colecciónAutoresTítulosMateriasTipos documentales

Mi cuenta

Acceder

Estadísticas

Estadísticas de uso

Sobre el repositorio

¿Qué es udiMundus?¿Qué puedo depositar?Guía de autoarchivoAcceso abierto​Preguntas Frecuentes

Assessing conceptual knowledge in three online engineering courses: theory of computation and compiler construction, operating systems, and signal and systems

Ver/Abrir:
(74.48Kb)
Identificadores:
URI: http://hdl.handle.net/20.500.12226/274
ISBN: 9781450365369
DOI: http://dx.doi.org/10.1145/3279996.3280005
Exportar referencia:
Refworks
Compartir:
Estadísticas:
Ver estadísticas
Metadatos
Mostrar el registro completo del ítem
Autor(es):
Pamplona, Sonia; Seoane, Isaac; Bravo-Agapito, Javier
Fecha de publicación:
2018-10-01
Resumen:

In the current decade understanding conceptual knowledge should be an important area of engineering science. However, it is not as widespread in this field as it is in the areas of education and psychology. Learning conceptual knowledge in engineering science could help instructors to adapt their lectures in order to overcome student misconceptions, to reinforce the learning process, and to check whether students are able to identify key features of a problem. Different methods are provided by authors to assess conceptual knowledge. One is to design and develop a concept inventory with the objective of identifying possible student misconceptions through multiple-choice questions. Another method consists of asking each student to answer a question by submitting a written explanation. This study provides two procedures for the assessment of conceptual knowledge based on the latter method. The first procedure is applied to online computer science students enrolled on an Operating Systems course. The second procedure is applied to online communication students enrolled on a Signals and Systems course. Both procedures are focused not only on assessing but also on searching for causes of potential student misconceptions. These procedures could help other instructors to assess conceptual knowledge on other engineering courses.

In the current decade understanding conceptual knowledge should be an important area of engineering science. However, it is not as widespread in this field as it is in the areas of education and psychology. Learning conceptual knowledge in engineering science could help instructors to adapt their lectures in order to overcome student misconceptions, to reinforce the learning process, and to check whether students are able to identify key features of a problem. Different methods are provided by authors to assess conceptual knowledge. One is to design and develop a concept inventory with the objective of identifying possible student misconceptions through multiple-choice questions. Another method consists of asking each student to answer a question by submitting a written explanation. This study provides two procedures for the assessment of conceptual knowledge based on the latter method. The first procedure is applied to online computer science students enrolled on an Operating Systems course. The second procedure is applied to online communication students enrolled on a Signals and Systems course. Both procedures are focused not only on assessing but also on searching for causes of potential student misconceptions. These procedures could help other instructors to assess conceptual knowledge on other engineering courses.

Palabra(s) clave:

conceptual knowledge

learning assessment

engineering education

online learning

Theory of Computation and Compiler Construction

Operating Systems

Signal and Systems

Colecciones a las que pertenece:
  • Participaciones en congresos [92]
Creative Commons El contenido de este sitio está bajo una licencia Creative Commons Reconocimiento – No Comercial – Sin Obra Derivada (by-nc-nd), salvo que se indique lo contrario
Logo Udima

Universidad a Distancia de Madrid

Biblioteca Hipatia

  • Facebook Udima
  • Twitter Udima
  • Youtube Udima
  • LinkedIn Udima
  • Pinterest Udima
  • Google+ Udima
  • beQbe Udima
  • Instagram Udima

www.udima.es - repositorio@udima.es

Logo DSpace