Exploring aspects of self-regulated learning among engineering students learning digital system design in the FPGA environment-methodology and findings

Moshe Barak, Ivan Kastelan, Zvi Azia

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

3 Scopus citations

Abstract

This study addressed the case of the development, implementation and evaluation of an innovative platform for teaching computer and embedded systems engineering, including hardware, software and instructional materials for students. The evaluation methodology was derived from the Self-Regulated Learning Theory which relates to cognitive, meta-cognitive, motivational and self-efficacy aspects of learning. Data were collected by administrating the Lab Feedback Questionnaire, the Motivated Strategies for Learning Questionnaire (MSLQ), the Computer System Usability Questionnaire (CSUQ), and interviews held with students and teachers. The findings that were obtained over two years taught us that one of the most important factors affecting the success of an advanced technological learning platform is the careful design of students’ assignments, for example, to progress gradually from solving basic exercises, to solving more significant problems and dealing with broad projects.

Original languageEnglish
Title of host publicationAdvances in Intelligent Systems and Computing
PublisherSpringer Verlag
Pages139-160
Number of pages22
DOIs
StatePublished - 1 Jan 2016

Publication series

NameAdvances in Intelligent Systems and Computing
Volume421
ISSN (Print)2194-5357

Keywords

  • Computer and embedded engineering
  • Exercises
  • Problens and projects
  • Self-Regulated Learning

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Computer Science (all)

Fingerprint

Dive into the research topics of 'Exploring aspects of self-regulated learning among engineering students learning digital system design in the FPGA environment-methodology and findings'. Together they form a unique fingerprint.

Cite this