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Enregistrement W2241918708 · doi:10.18260/1-2--19201

An Update: The Engagement and Retention of Electrical Engineering Students with a First Semester Freshman Experience Course

2020· article· en· W2241918708 sur OpenAlex

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Notice bibliographique

Revuenon disponible
Typearticle
Langueen
DomaineEngineering
ThématiqueExperimental Learning in Engineering
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésCurriculumEngineering educationMathematics educationComputer scienceEngineeringEngineering managementPsychologyPedagogy

Résumé

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Abstract An Update: The Engagement and Retention of Electrical Engineering Students with a First Semester Freshman Experience CourseFreshman retention has been a critical issue for engineering programs over the last decade.Universities have implemented many different approaches to improve freshman retentionincluding: creating general freshman courses to give early hands-on experience to the students1-4,utilizing student feedback to design courses5, and moving the ownership and maintenance oflaboratory equipment from the university to the students6. In the fall semester of 2009, theElectrical Engineering program at __________ took the initiative of creating and offering a firstsemester freshman experience course aimed at improving freshman retention. The rationale forcreating this course was based on student and faculty feedback, and comments provided bygraduating seniors during their senior exit interview. A number of students also expressed theirconcern about how late the electrical engineering laboratory experience is in the curriculum. Thedepartmental faculty took the decision to help electrical engineering students by developing acourse specially designed for their freshman year entitled “Engineering The Future: Electricaland Digital Concepts”. The only preparation expected from the students is high school algebra.The purpose of the course is to introduce the students to the different areas of ElectricalEngineering such as: History of Electrical Engineering, Electrical Concepts and Components,Digital Systems, Communications Systems, Electronics, Power Systems and ComputerEngineering. The students are also exposed to the National Electric Code and to the toolscommonly used by electrical engineering students like: oscilloscopes, multimeters, functionsgenerators, PSpice and MATLAB. Finally, to complement the freshman experience, practicingelectrical engineers are invited to talk about their experiences and a module on engineering yourcareer was introduced by design. The students are also expected to attend IEEE meetings, andstudy the IEEE Code of Ethics. The intention of the course is to provide the students with ahealthy exposure to professional practice and real projects in the different areas of electricalengineering7.Since then significant changes have been made to this course in order to make it more enjoyableand effective in retaining students. Some of these changes include the establishment of adepartmental template used to prepare the materials that are distributed to the students, theinclusion of virtual instruments such as the NI myDAQ and Labview, and the replacement ofPSpice with NI Multisim and Ultiboard. The last two software utilities have made the fabricationof the PCBs easier for the students and faculty. Furthermore, the students are required to use theNI myDAQ in some of their laboratories and in the final project which some of them alsoinclude the use of Labview.This paper will present the data collected as a part of the course offering over four academicyears, specifically split into two analysis categories. The first part of the data analysis will focuson the effect of the course on student retention, extracted from the freshman cohorts. The secondpart of the data analysis will focus on student surveys performed at the end of the semester. Thissurvey was designed to measure vital components of overall course effectiveness with finergranularity, including students understanding of topics such as the role of electrical engineersand their impact on society.References[1] H. Knickle, “Foundations of Engineering a First Year Course”, Proceedings of the ASEE Annual Conference, Washington, DC 1996.[2] J. W. Pierre, F. K. Tuffner, “A One-Credit Hands-On Introductory Course In Electrical and Computer Engineering Using a Variety of Topics Modules”, IEEE Transactions on Education, vol. 52, No. 2, May 2009.[3] Ronald Roth, “Improving Freshman Retention Through an Introduction to Engineering Design Course”, Proceedings of the ASEE Annual, 2001, Albuquerque, NM 2001.[4] Ruben Rojas-Oviedo, Dr. X. Cathy Qian, “Improving Retention of Undergraduate Students in Engineering through Freshman Courses”, Proceedings of the ASEE Annual, Montréal, Quebec, Canada 2002.[5] M. R. Anderson-Rowland, “Understanding Freshman Engineering Students Retention through a Survey”, Proceedings of the ASEE Annual Conference, Milwaukee, WI, 1997.[6] D. Hall, H. Hegab, and J. Nelson, “Living with the Lab – Freshman Curriculum to Boost Hands-on Learning, Student Confidence and Innovation”, 38th ASEE/IEEE Frontiers in Education Conference, Saratoga Springs, NY, 2008.[7] Ochoa, Hector; Mukul, V. Shirvaikar, “The Engagement and Retention of Electrical Engineering Students with a First Semester Freshman Experience Course,” The 118th ASEE Annual Conference, Vancouver, Canada, June, 2011.

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Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Simulation ou modélisation · Signal consensuel: Simulation ou modélisation
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,143
Score d'incertitude au seuil0,453

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,010
Tête enseignante GPT0,234
Écart entre enseignants0,224 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

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Citations5
Publié2020
Routes d'admission1
Résumé présentoui

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