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Conference Paper: Designing an Autonomous Vehicle System Design Course for COVID-19 Remote Learning under First Principles of Instruction Framework

TitleDesigning an Autonomous Vehicle System Design Course for COVID-19 Remote Learning under First Principles of Instruction Framework
Authors
KeywordsFirst Principles of Instruction
instructional design
autonomous vehicle system
cross-disciplinary
COVID-19
Issue Date2020
PublisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1802630/all-proceedings
Citation
Proceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Takamatsu, Japan, 8-11 December 2020, p. 460-466 How to Cite?
AbstractIn order to cultivate the expertise in developing autonomous vehicles (AVs) in the future, there is an emergence of courses on holistic AV system design for undergraduate engineering students. This paper presents the design, implementation and evaluation of a cross-disciplinary AV system design course developed under the First Principles of Instruction (FPI) framework. FPI-guided learning design facilitates students to learn effectively due to structured coverage of activation, demonstration and application in their learning when developing the product. Through the guided development, the developed course should facilitate students in developing a well-constructed and productive AV system, and cultivate students' holistic engineering competencies (e.g. creativity, problem solving). From survey responses, students held more positive perceptions towards the courses' objectives. Instructors' observations on artefacts produced by students also revealed that learners acquired high-order thinking skills and psychomotor skills after completing the course. This paper also discusses how the course can be re-designed in the second cohort for remote learning during the COVID-19 period, such that students can learn even if they cannot physically access the workshop studio and attend workshop training.
DescriptionOutstanding Paper Award
Persistent Identifierhttp://hdl.handle.net/10722/304633
ISBN
ISSN
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLau, E-
dc.contributor.authorLei, CU-
dc.contributor.authorNg, TD-
dc.contributor.authorLui, KS-
dc.contributor.authorLam, KH-
dc.contributor.authorHew, KFT-
dc.contributor.authorTam, VWL-
dc.date.accessioned2021-10-05T02:32:56Z-
dc.date.available2021-10-05T02:32:56Z-
dc.date.issued2020-
dc.identifier.citationProceedings of 2020 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE), Takamatsu, Japan, 8-11 December 2020, p. 460-466-
dc.identifier.isbn9781728169422-
dc.identifier.issn2374-0191-
dc.identifier.urihttp://hdl.handle.net/10722/304633-
dc.descriptionOutstanding Paper Award-
dc.description.abstractIn order to cultivate the expertise in developing autonomous vehicles (AVs) in the future, there is an emergence of courses on holistic AV system design for undergraduate engineering students. This paper presents the design, implementation and evaluation of a cross-disciplinary AV system design course developed under the First Principles of Instruction (FPI) framework. FPI-guided learning design facilitates students to learn effectively due to structured coverage of activation, demonstration and application in their learning when developing the product. Through the guided development, the developed course should facilitate students in developing a well-constructed and productive AV system, and cultivate students' holistic engineering competencies (e.g. creativity, problem solving). From survey responses, students held more positive perceptions towards the courses' objectives. Instructors' observations on artefacts produced by students also revealed that learners acquired high-order thinking skills and psychomotor skills after completing the course. This paper also discusses how the course can be re-designed in the second cohort for remote learning during the COVID-19 period, such that students can learn even if they cannot physically access the workshop studio and attend workshop training.-
dc.languageeng-
dc.publisherIEEE. The Journal's web site is located at https://ieeexplore.ieee.org/xpl/conhome/1802630/all-proceedings-
dc.relation.ispartofIEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE)-
dc.rightsIEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). Copyright © IEEE.-
dc.rights©2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.subjectFirst Principles of Instruction-
dc.subjectinstructional design-
dc.subjectautonomous vehicle system-
dc.subjectcross-disciplinary-
dc.subjectCOVID-19-
dc.titleDesigning an Autonomous Vehicle System Design Course for COVID-19 Remote Learning under First Principles of Instruction Framework-
dc.typeConference_Paper-
dc.identifier.emailLau, E: edlau905@hku.hk-
dc.identifier.emailLei, CU: culei@hku.hk-
dc.identifier.emailNg, TD: jntd@connect.hku.hk-
dc.identifier.emailLui, KS: kslui@eee.hku.hk-
dc.identifier.emailLam, KH: samkhlam@hku.hk-
dc.identifier.emailHew, KFT: kfhew@hku.hk-
dc.identifier.emailTam, VWL: vtam@hkucc.hku.hk-
dc.identifier.authorityLei, CU=rp01908-
dc.identifier.authorityLui, KS=rp00188-
dc.identifier.authorityHew, KFT=rp01873-
dc.identifier.authorityTam, VWL=rp00173-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TALE48869.2020.9368449-
dc.identifier.scopuseid_2-s2.0-85102975671-
dc.identifier.hkuros326478-
dc.identifier.hkuros325976-
dc.identifier.spage460-
dc.identifier.epage466-
dc.identifier.isiWOS:000662184600067-
dc.publisher.placeUnited States-

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