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Record W2611085269 · doi:10.18260/1-2--3844

Synchronous Delivery Of Engineering Technology Courses To A

2020· article· en· W2611085269 on OpenAlexfundno aff
Akram Hossain, Niaz Latif

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicExperimental Learning in Engineering
Canadian institutionsnot available
FundersInternational Council for Canadian Studies
KeywordsBachelorDistance educationComputer scienceVideoconferencingMultimediaVirtual campusEngineering educationInstitutionEngineering managementEngineeringMathematics educationSociologyPsychology

Abstract

fetched live from OpenAlex

Abstract NOTE: The first page of text has been automatically extracted and included below in lieu of an abstract Synchronous Delivery of Engineering Technology Courses to a Remote Location − issues and challenges related to Technology and students’ learning Abstract Distance delivery of a course is a compromise between a true online classroom and a classroom having live audience. The issues and challenges related to synchronous delivery of lecture and laboratory based engineering technology courses to a remote location are discussed in this paper. In summer (2007), the institution has funded a project to develop the instructional materials for distance delivery of a course in Electrical and Computer Engineering Technology (ECET). The course have been offered to two groups of students, one as live audience on main campus and the other group at an extended campus through audio-video network. The delivery technologies included were Polycom Audiovisual conferencing system and Virtual Network Computing (VNC). This paper focuses on the challenges (and dealing with these challenges) as it relates to implementation of technology for synchronous bi-directional delivery and assessment of students’ learning through such delivery. Assessments of students’ learning are discussed in terms of pedagogy, learning environment, and students’ engagement. The benefit of such delivery as it is applied to an urban/commuter campus are also discussed from students and institutional perspective. Introduction Purdue University Calumet is a comprehensive University that offers Bachelor’s and Master’s degrees in Science, Technology, Engineering, Management, Education, Nursing and Liberal Arts. It is primarily a commuter campus with 9600 students. Additionally, 1400 students take classes at its Academic Learning Center (ALC) which is 17 miles away from the main campus. Seventy percent of Purdue University Calumet students work more than 30 hours a week and many of these students are enrolled for courses scheduled for evening hours. The institution is striving to accommodate more of its students by delivering course work at an accelerated rate, and through alternative deliveries that includes distance delivery of courses at ALC. This will allow students from surrounding three counties in Indiana to attend and take courses at a location closer to their home. This paper describes the initiation, development and delivery of a laboratory-based ECET course through the synchronous distance delivery (SDD). The term SDD means that both distance learning and live classroom learning are taking place at the same time. The objective of this initiative was to identify issues and challenges related to such delivery through actually delivery of one course (as pilot). This would allow identify areas that can be improved for effective delivery of similar courses in future through this delivery method. This paper focuses on the challenges (and dealing with these challenges) as it relates to implementation of technology for synchronous bi-directional delivery and assessment of

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score0.573

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.005
GPT teacher head0.188
Teacher spread0.183 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2020
Admission routes1
Has abstractyes

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