An Investigation of Preservice Teachers' Perceptions of African American Students' Ability To Achieve in Mathematics and Science.
Notice bibliographique
Résumé
This study investigated the perceptions of 30 predominantly white pre-service teachers about African American students' ability to achieve mathematics and science. Participants completed a three-part, open-ended questionnaire that asked them about their experiences with and awareness of African American students' mathematics and science achievement, reasons for African American students' low mathematics and science achievement, and changes or interventions they would suggest to address this problem. The questionnaire essentially assessed student teachers for awareness of, culpability in, and modifications to improve the mathematics and science achievement of African American students. Results indicated that respondents' perceptions of the mathematics and science ability of African American students were best characterized by King's (1991) notion of dysconscious racism, an uncritical habit of mind that justifies inequity and exploitation by accepting the existing order of things as given. Over one-third of the respondents were unaware of the problem. Respondents most often placed culpability for achievement with students' culture and community. Respondents overwhelmingly suggested modifications to the teaching and learning process as a vehicle for improving African American students' mathematics and science achievement. (Contains 34 references.) (SM) Reproductions supplied by EDRS are the best that can be made from the original document. PRESERVICE TEACHERS' PERCEPTIONS 00 ci AN INVESTIGATION OF PRESERVICE TEACHERS' PERCEPTIONS OF AFRICAN AMERICAN STUDENTS' ABILITY TO ACHIEVE IN MATHEMATICS AND SCIENCE PERMISSION TO REPRODUCE AND DISSEMINATE THIS MATERIAL HAS BEEN GRANTED BY radiotJ Le-oi TO THE EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) 1 U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) CI This document has been reproduced as received from the person or organization originating it. CI Minor changes have been made to improve reproduction quality. ° Points of view or opinions stated this document do not necessarily represent official OERI position or policy. Bradford F. Lewis, Ph.D. and Vanessa Pitts Department of Instruction and Learning University of Pittsburgh Alicia Collins Department of Administrative and Policy Studies University of Pittsburgh Paper presented at the American Educational Research Association April 24-28, 2000 New Orleans, LA BEST COPY AVALABLE 2 PRESERVICE TEACHERS' PERCEPTIONS 2 An Investigation of Preservice Teachers' Perceptions of African American Students' Ability to Achieve Mathematics and Science INTRODUCTION Somehow, I happened to be alone the classroom with Mr. Ostrowski, my English teacher. He was a tall, rather reddish white man and he had a thick mustache. I had gotten some of my best marks under him, and he had always made me feel that he liked me. He was, as I have mentioned, a natural-born advisor, about what you ought to read, to do, or thinkabout any and everything. We used to make unkind jokes about him: why was he teaching Mason instead of somewhere else, getting for himself some of the success life that he kept telling us how to get? I know that he probably meant well what he happened to advise me that day. I doubt that he meant any harm. It was just his nature as an American white man. I was one of his top students, one of the school's top students but all he could see for me was the kind of future in your place that almost all white people see for black people. He told me, Malcolm, you ought to be thinking about a career. Have you been giving it thought? The truth is, I hadn't. I never have figured out why I told him, Well, yes, sir, I've been thinking I'd like to be a lawyer. Lansing certainly had no Negro lawyers or doctors either those days, to hold up an image I might have aspired to. All I really knew for certain was that a lawyer didn't wash dishes, as I was doing. Mr. Ostrowski looked surprised, I remember, and leaned back his chair and clasped his hands behind his head. He kind of half-smiled and said, Malcolm, one of life's first needs is for us to be realistic. Don't misunderstand me, now. We all here like you, you know that. But you've got to be realistic about being a nigger. A lawyer that's no realistic goal for a nigger. You need to think about something you can be. You're good with your hands making things. Everybody admires your carpentry shop Why don't you plan on carpentry? People like you as a person you'd get all kinds of work. (X, 1964. p.36-37) The problem that gives impetus to the present study is the low number of African American students who pursue science-related careers (Lewis, 1997; Lewis & Collins, 2000). At least since 1977 African Americans have consistently comprised less than 2% of practicing Ph.D. holding scientists (National Science Board, 1996); and at least since 1971 scholars have sought to understand the causes of underrepresentation through empirical research. While extant research has identified numerous factors, which correlate with students' career decisions, such as the number of math and science courses taken (Thomas, 1984), and the influence of math and science
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 | 0,002 | 0,006 |
| 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 | 0,002 | 0,001 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».