Undergraduate Students’ Attitudes Toward an Engineering Course that Integrates Several Levels of Abstraction

Aharon Gero, Mohammed Ali Hadish, Shahar Kvatinsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Abstract thinking is considered higher-order that allows one to solve problems while switching between levels of abstraction, i.e., moving between multiple levels of complexity. The Faculty of Electrical and Computer Engineering (Technion – Israel Institute of Technology) combined two undergraduate courses, focusing on different levels of abstraction, into a single course “Digital Systems and Computer Structure” integrating multiple levels of abstraction, i.e., logical, micro-architecture and architecture levels. The present study aimed to characterize students’ attitudes toward the course. This mixed-method study involved 103 undergraduate students. According to the findings, students hold positive attitudes toward a course that combines multiple levels of abstraction. Students claim that the course is interesting, provides a complete picture of computer systems, imparts higher-order thinking skills, but at the same time imposes a heavy load.

Original languageEnglish
Title of host publicationLearning in the Age of Digital and Green Transition - Proceedings of the 25th International Conference on Interactive Collaborative Learning ICL 2022
EditorsMichael E. Auer, Wolfgang Pachatz, Tiia Rüütmann
PublisherSpringer Science and Business Media Deutschland GmbH
Pages491-497
Number of pages7
ISBN (Print)9783031261893
DOIs
StatePublished - 2023
Event25th International Conference on Interactive Collaborative Learning, ICL 2022 - Vienna, Austria
Duration: 27 Sep 202230 Sep 2022

Publication series

NameLecture Notes in Networks and Systems
Volume634 LNNS

Conference

Conference25th International Conference on Interactive Collaborative Learning, ICL 2022
Country/TerritoryAustria
CityVienna
Period27/09/2230/09/22

Keywords

  • Abstract thinking
  • Computer structure
  • Digital systems
  • Students’ attitudes

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Control and Systems Engineering
  • Computer Networks and Communications

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