Ayuda
Ir al contenido

Dialnet


Early warning system to identify poor time management habits

  • Autores: L.E. Bernold
  • Localización: The International journal of engineering education, ISSN-e 0949-149X, Vol. 23, no. 6, 2007, págs. 1182-1191
  • Idioma: inglés
  • Texto completo no disponible (Saber más ...)
  • Resumen
    • Student-centred as well as lifelong learning, require vastly different study skills than those needed to succeed in today's mainly lecturebased engineering classes. This paper presents the result of a survey that assessed the study skills of engineering freshmen. Because surveys do not capture how students actually use their study skills, this study was carried out to discover some facts related to time management. Data collected from 295 students taking Chemistry 101 focused on 30 online homework sets. It was used to search for patterns in the routine that students develop while entering answers as many times as they desired. The aim of the effort was to assess if it could be possible to monitor student habits whilst supporting them, to recognize and overcome detrimental time-management skills early in their college career. The result of the data analysis did point to the fact that procrastinators who achieved poor final grades in chemistry can be identified based on their homework submission patterns. Furthermore, it confirmed the common belief that A students tend to finish their homework earlier and, in this case, also use fewer entries to complete when compared to C and D students.


Fundación Dialnet

Dialnet Plus

  • Más información sobre Dialnet Plus

Opciones de compartir

Opciones de entorno