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Record W1779780629 · doi:10.24908/pceea.v0i0.5724

GET A HEAD START! EXPERIENCES OF RUNNING A SUMMER ONLINE CALCULUS COURSE FOR INCOMING FIRST YEAR STUDENTS

2015· article· en· W1779780629 on OpenAlexaffvenueabout
Shai Cohen, Micah Stickel

Bibliographic record

VenueProceedings of the Canadian Engineering Education Association (CEEA) · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicInnovations in Educational Methods
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsContext (archaeology)Course (navigation)Mathematics educationMassive open online courseOnline learningSet (abstract data type)Online courseMedical educationComputer scienceCalculus (dental)EngineeringPsychologyMultimediaMedicine

Abstract

fetched live from OpenAlex

One of the great advantages of developing online courses is that it enables the institution to reimagine how they can deliver that content to their students. In recent years, the Faculty of Applied Science and Engineering at the University of Toronto has worked to develop a set of first year calculus courses in an online format. These courses were designed specifically for engineering students to: (a) situate the material in an engineering context through multiple real-world examples and “on-site” videos, (b) place an increased emphasis on the form of the solution, and (c) incorporate a significant experience in mathematical modeling through a self-defined project.In July and August of 2014, the Calculus for Engineers I online course was offered to incoming first-year students that were to start in September 2014. The purpose of this paper is to summarize the experiences related to this unique offering from the perspectives of the students as well as the Faculty administration and course instructor.Of the 900 students that were invited to take the course, 170 initially registered for the course in early July, and of those 48 students completed the course at the end of August. Of the 44 students that passed the course, 20 (48%) decided to continue on with the online offering of Calculus for Engineers II in the fall 2014 term.Overall, students were quite positive about their online learning experience and were glad to have the opportunity to complete a credit before their official start. This allowed them to either take an elective in their first year or have a lighter workload in one of the terms.In their course survey comments, they noted that they appreciated the opportunity to learn and review the material at their own pace, the way in which the instructor connected the mathematics to an engineering context, and having an early introduction to the university learning environment.Delivering an online university-level calculus course to incoming first-year students is an exciting and novel way to enhance the engineering student experience in first year. This paper provides an introductory summary of this approach from the students’, instructor’s, and administrators’ perspectives.

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)0.002
metaresearch head score (Gemma)0.006
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 score0.399
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.006
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 head0.047
GPT teacher head0.381
Teacher spread0.334 · 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 designObservational
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
Published2015
Admission routes3
Has abstractyes

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