College satisfaction of Iowa State University national merit scholars
Notice bibliographique
Résumé
This study compared the college satisfaction levels oflowa State University national merit scholars with students in a national 4-year public institution comparison group.This same comparison was made between Iowa State national merit engineering students and Iowa State non-national merit engineering students.Satisfaction levels were obtained through the Student Satisfaction Inventory (SSI), which addressed twelve scales or aspects of campus life.This study examined nine of the twelve scales, which included: academic advising effectiveness, campus climate, concern for the individual, instructional effectiveness, recruitment and financial aid effectiveness, service excellence, student centeredness, campus support services, and campus life.The SSI allowed students to score all items based on satisfaction level and importance level.Resulting data concerning satisfaction and importance scores are examined as well as data provided on the disparity level (importance rating minus satisfaction rating) for each scale.The disparity level gave insight as to whether students' expectations at Iowa State University had been met.Iowa State national merit scholars were found to be significantly more satisfied than the students in the national comparison group in eight areas with the highest level of significant difference occurring in academic advising effectiveness, campus life, and recruitment and financial aid.National merit engineering students were significantly more satisfied than the Iowa State non-national merit engineering students in six areas with the highest level of significant difference occurring in academic advising effectiveness, instructional effectiveness, and recruitment and financial aid.To conclude, national merit students at Iowa State University were satisfied with college life but their expectations had not been exceeded in any of the nine areas examined, vu leaving room for improvement.Iowa State national merit scholars found different aspects of campus to be important when compared with students included in the national comparison group.National merit engineering students and non-national merit engineering students at Iowa State were much more similar in what they determined to be important.The disparity level of each scale and the questions in that scale led to a discussion of implications.The implications for this study can be applied to all students at Iowa State University.CHAPTER I. INTRODUCTION General Introduction Each year, Iowa State University attempts to recruit individuals from three designated categories of high ability students: National Merit Scholars, National Achievement Scholars and National Hispanic Scholars.In the competitive educational marketplace of today, Iowa State University, through the Office of Special Recruitment, must constantly search for new recruitment strategies in order to attract such highly sought after students.Currently, Iowa State University ranks 18 th in the nation for recruiting national merit scholars and enrolled more national merit scholars than all other Iowa schools combined in 1999 (Annual Statistical Report, Iowa State University, 1999) (please see Appendix A for additional rankings and demographic data).During the fall and spring semesters of 1998-99, the Office of Special Recruitment enrolled and awarded scholarships to 116 national merit scholars, 9 national achievement scholars, and 10 national Hispanic scholars.This was the highest number of entering freshman who were national achievement or national Hispanic scholars in the university's history.Iowa State University continually strives to be a leader in the recruitment of high ability students.One possible strategy to help ensure this status might include assessing the satisfaction rates of current national merit scholars on campus.The process for improvement can itself have a positive impact on a campus when students, faculty, administration, and staff are involved in creating and implementing solutions.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,009 | 0,001 |
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 ».