TY - CHAP
T1 - Exploring aspects of self-regulated learning among engineering students learning digital system design in the FPGA environment-methodology and findings
AU - Barak, Moshe
AU - Kastelan, Ivan
AU - Azia, Zvi
N1 - Publisher Copyright:
© Springer International Publishing Switzerland 2016.
PY - 2016/1/1
Y1 - 2016/1/1
N2 - 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.
AB - 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.
KW - Computer and embedded engineering
KW - Exercises
KW - Problens and projects
KW - Self-Regulated Learning
UR - http://www.scopus.com/inward/record.url?scp=84955479408&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-27540-6_10
DO - 10.1007/978-3-319-27540-6_10
M3 - Chapter
AN - SCOPUS:84955479408
T3 - Advances in Intelligent Systems and Computing
SP - 139
EP - 160
BT - Advances in Intelligent Systems and Computing
PB - Springer Verlag
ER -