The Adoption of a Capstone Assessment Instrument
Notice bibliographique
Résumé
Previous research has shown that the adoption of effective innovations in engineering education typically lags behind awareness of those innovations, and this delay may be limiting the positive impacts of advances in engineering education. PURPOSEThis study investigates early adoption processes in detail in the context of an assessment instrument designed for use in capstone design courses.Research at this level of detail is needed to better understand adoption processes in general and to encourage spread of innovation in engineering education practice. DESIGN/METHODSemistructured clinical interviews were conducted with the developers and users of the assessment instrument and the educators who were introduced to it in a workshop.These interviews were analyzed thematically with respect to the diffusion of innovations theory. RESULTSThe qualitative, in-depth nature of the analysis revealed surprising diversity in the participants' perceptions of the assessment instrument.The most important features affecting their adoption were the participants' perceptions of its compatibility with their own and their institutions' values and goals.The complex and varied ways in which the participants were involved with capstone courses at their university were important in understanding their adoption decisions. CONCLUSIONThe findings are analyzed in terms of the context in which they arose, and their transferability to other contexts is discussed.The interactions between participants' perceptions and the specific context of their university's capstone program affected their adoption decisions, but these decisions are not easily characterized by existing theories or addressed by typical dissemination efforts. KEYWORDS adoption, diffusion of innovations Montfort, Brown, & Peggbut not one that has often been addressed with the same rigor as applied to the design and development of innovations.This study contributes to the understanding of adoption processes by using an established theoretical framework to explore the early adoption of a specific innovation, rather than broadly characterizing the generalized process.Those broad characterizations are important and valuable, and indeed the approach used in this research builds from them, but the move to particulars provides information on the details, interactions, exceptions, and examples of individuals' enactment of that generalized process.Investigation and interpretation of these specifics allow for adjustments to our ways of thinking about adoption, which has the potential to improve future research and encouragement of adoption. BACKGROUND The InnovationThe innovation in this study is the Team Citizenship Assessment Instrument (TCAI), one part of a suite of assessment instruments currently being developed for widespread use in capstone design courses.The various evaluation tools were developed to help assess and achieve important educational outcomes such as teamwork, communication, and design skills (particularly those required by the ABET Accreditation Commission, 2010).These assessment tools were developed by a group of diverse and experienced engineering faculty at various institutions (Davis, Trevisan, Beyerlein, Harrison, & Thompson, 2007; Engineering Education Research Center, 2009).The TCAI consists of a questionnaire administered to each student in a capstone design team.Team members rate each other on their contributions to the team, communication skills, and team effectiveness.The TCAI was designed to be flexible and to fit within as broad a range of course designs as possible.For example, the TCAI could be implemented verbally by a faculty advisor with one small team in an effort to promote more productive attitudes toward teamwork, or could be used in written form by a course instructor to evaluate the quality of students' feedback at the beginning and end of the course.Although the TCAI was designed primarily to serve as one of a suite of assessments intended to cover the full range and content of capstone courses, it can also be used as a stand-alone instrument.At the time of this study, the assessment developers were in the process of piloting the TCAI, a group of colleagues of the developers were partially implementing the assessments, and a different group of faculty attended a workshop on the assessments.Research at this stage of development provided a uniquely rich opportunity to investigate early adoption processes of three different groups of potential adopters.Early adoption is particularly important because these processes determine whether an innovation will ever spread to a broader population (Rogers, 2003).Additionally, the theoretical framework guiding this research emphasizes the importance of potential adopters' perceptions of an innovation, and the timing of this research allowed for the investigation of those perceptions as they were developing. Theoretical FrameworkDiffusion of innovations (DI) theory describes the process of how new ideas, products, or practices become commonplace in a population.DI theory was chosen for this study because it best represents a holistic approach to adoption processes that includes the innovation itself, the individuals adopting it, and the contexts within which adoption would 21689830, 2012, 4,
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,060 | 0,153 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,003 | 0,002 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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.
score_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 découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».