Allowing Freshman Engineering Students to Encounter Multiple Disciplines: Discipline Oriented Labs in the First Semester Engineering Curriculum
Bibliographic record
Abstract
Anderson University is a small liberal arts university established in the Church of God movement, located in Anderson, Indiana.The engineering program started in 2013, and now has ABET accredited majors in Mechanical, Electrical, and Computer Engineering.The first semester engineering course has undergone several changes since the program's inception, and has evolved into three corequisite courses, accompanied by a 2-hour recitation section.The first semester engineering curriculum consists of a 1-hour lecture course (ENGR 2001), a 2hour ME lab course (ENGR 2002), and a 2-hour ECE lab course (ENGR 2003).Providing these two lab courses allows students to gain basic understanding of the engineering disciplines offered by the university and affords them tools for exploration of their practice.While lab courses of this sort are not entirely unique to the Anderson University first semester engineering program, some of the mechanisms and course structure differ from other programs.Students also meet for a twohour recitation section in the evenings, which allows them to get tutoring for Calculus and Chemistry, as well as engage in engineering group projects with their cohort.The current formulation of the first semester courses has been offered for two consecutive years.This work presents the course content with an emphasis on lab instruction, course learning outcomes, and assessment results for the first two years, along with lessons learned.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.007 | 0.003 |
| Open science | 0.002 | 0.007 |
| Research integrity | 0.001 | 0.003 |
| Insufficient payload (model declined to judge) | 0.025 | 0.011 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".