MétaCan
Menu
Back to cohort
Record W3002451460 · doi:10.24908/pceea.vi0.13829

CAD / ARDUINO INTRODUCTORY WORKSHOPS IN FIRST YEAR ENGINEERING PROJECT-BASED COURSE A WAY TO GET STUDENTS TO DESIGN AND BUILD HIGH QUALITY PROTOTYPES

2019· article· en· W3002451460 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2019
Typearticle
Languageen
FieldEngineering
TopicMechatronics Education and Applications
Canadian institutionsUniversité du Québec à Rimouski
Fundersnot available
KeywordsQuality (philosophy)Engineering managementMandateComputer scienceEngineeringSoftware engineering

Abstract

fetched live from OpenAlex

As educators, there are several challenges that we need to overcome during the first-year of our engineering programs. We need to integrate students into the world of engineering and introduce them on practical aspects. We have to connect them with basic notions in various engineering fields and complementary disciplines. We have to start developing their design skills and make them able to conduct design projects despite an undeveloped level of knowledge. We want to make them able to design and build high-quality prototypes. 
 At UQAR, the solution goes through a multi-disciplinary project-based course offered at the first term. This course brings together students from mechanical, electrical and electromechanical engineering programs which makes possible to form teams of students with varied skills from different backgrounds (technical and natural sciences).
 In 2018, the proposed project was the production of a stand-alone and collaborative mobile platform. This platform or robot receives an order for an item, picks up and transports a shelf to the deposit station, delivers the item, returns the shelf to its place and returns to the starting position, all while avoiding obstacles on the way.
 To fulfill such an ambitious mandate, basic notions of CAD, electronics and programming are needed. Our innovation is the introduction of workshops at the beginning of the term. Workshops are an important part of our recipe to enable students to overcome the design challenge.
 The mechanical workshops include four sessions related to mechanical CAD (modelling, sheet metal, assembly and drawing) and 3D printing.
 Arduino workshops include three sessions on how to use the Arduino IDE programming environment and incorporate some programming notions. Specialized material was produced concerning the introduction to microcontrollers and the Arduino platform. A set of specialized parts was provided to the students. Several demonstration examples and activities have been produced on digital inputs and outputs, analog inputs, pulse width modulation outputs, ultrasonic distance sensing, DC motors and H-bridges, servomotors, tracking sensors lines, wireless communication modules, mini-keyboards and LCDs.
 The workshops support the projects directly and allow students to carry out relatively complex projects in the first year despite their limited engineering knowledge.

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.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.596
Threshold uncertainty score0.879

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.241
Teacher spread0.234 · 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