A Partnership Model for Integrating Technical Communication Habits Throughout Undergraduate Engineering Courses
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Résumé
Abstract The ability to communicate well is often cited as one of the most valued skills for engineers in the workplace (ABET). The context for this research is a “partnership model” in which an embedded writing instructor collaborates with an engineering instructor to integrate writing instruction into engineering coursework. Reave (2004) characterized partnership as an authentic form of integration, in which faculty collaborate in designing and delivering instruction, and in assessing student outcomes. Thus, in the partnership model, students acquire technical communication habits by engaging in authentic forms of communication – the kind of writing typically required of engineers in the workplace, including laboratory reports. The descriptive study reported here investigates how the partnership model supports students in writing technical lab reports, and explores how this model might be used to systematically improve the writing skills of engineering students taking lab courses supported by both engineering and writing faculty. The sample was drawn from students in a junior level Chemical Engineering (CHME) laboratory course with 12 students. Both writing and engineering instructors team-taught lectures on technical writing and provided students’ ongoing feedback on their writing. Instructors collaborated with engineers from other engineering disciplines to develop resources for writing lab reports and writing exercises; these resources were available online and assigned to students in the CHME course. Data collected for analysis included statistics of students’ use of online writing resources, student satisfaction surveys, lab report grades, in-class writing exercises, and teaching artifacts as well as comparison data from student lab reports in previous courses. Results from the junior-level end-of course survey indicate that students perceived the process of writing a laboratory report more difficult than completing the scientific and engineering computations and analyses required for each report. The students in the CHME sample will be followed through the next course in the sequence and data collection, including a second end-of-course satisfaction survey, will continue through the Fall of 2019. The results of the analysis of students’ writing samples collected over time will be reported in the paper, including improvements in overall grades on the lab reports as well as areas of strengths and weaknesses in different components of the lab reports. Findings from this analysis will show how the students in the CHME partnership study applied what they learned from the instruction and resources that collaboration among instructors of different disciplines afforded them. This descriptive study of a partnership model is offered as one example of bringing new and critical perspectives to engineering education. References ABET. (n.d.) Criteria for Accrediting Engineering Programs, 2018 – 2019. Retrieved from https://www.abet.org/accreditation/accreditation-criteria/criteria-for-accrediting-engineering-programs-2018-2019/ Reave, L. (2004). Technical communication instruction in engineering schools: A survey of top-ranked US and Canadian programs. Journal of Business and Technical Communication, 18(4), 452-490.
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Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,001 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
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