Engineering students’ cognitive learning and perceptions in a blended learning course

Larisa Olesova, Dazhi Yang

Research output: Contribution to journalArticlepeer-review

Abstract

This study examined how cognitive learning was expressed by graduate engineering students (n = 20) in a blended course consistingof a face-to-face (n = 12) and online synchronous sections (n = 8), and students’ perceptions (n = 41) toward the blended course.Specifically, this study examined (1) how cognitive learning was expressed by students when they worked in face-to-face groups,mixed groups (combination of online and face-to-face students), and individually in a blended engineering course, and (2) potentialdifferences between face-to-face and online students’ perceptions of the blended learning course. The participants were graduatestudents at a large public university in the Mid-Atlantic region of the USA who enrolled in a sixteen-week blended SystemEngineering Design course. There were three face-to-face groups with two students per group (n = 6) and four mixed groups withthree students per group (n = 12). Two students worked individually. The findings revealed that when students worked in groups,the level of their cognitive learning was higher than working individually. In addition, when students worked in mixed groups incombination with face-to-face and online students, the levels of their cognitive learning was higher compared with those of the face-to-face groups. To answer the second research question, data were collected over four semesters of the same course with the sameinstructor. There was no significant difference between the online and face-to-face students’ perceptions regarding the overallcourse instruction and course effectiveness. However, the online students responded more positively about their course instructor’sencouraging them to be actively involved in the course content through assignments and other activities.
Original languageAmerican English
Pages (from-to)1725-1737
Number of pages13
JournalInternational Journal of Engineering Education
Volume35
Issue number6
StatePublished - 2019

Keywords

  • Blended learning
  • Cognitive learning
  • Group work

EGS Disciplines

  • Education
  • Engineering

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