MétaCan
Menu
Retour à la cohorte
Enregistrement W267020109

Does Experience in College Mathematics Courses Affect Elementary Arithmetic Performance in College Students

2009· article· en· W267020109 sur OpenAlexaboutno aff
L. B. Weinstein, Antonio Laverghetta

Notice bibliographique

RevueCollege student journal · 2009
Typearticle
Langueen
DomaineMathematics
ThématiqueMathematics Education and Programs
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésMathematics educationTest (biology)Affect (linguistics)Psychology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Undergraduate and graduate students at Cameron University (N = 158) were given the D' Amore Test of Elementary Arithmetic to test whether or not experience in college mathematics courses might be associated with a relative increase in arithmetic performance compared to those students who had not taken college mathematics courses. We found that only 31.7% of the subjects passed the D' Amore test by achieving 10 out of 10 correct. However, we found that subjects who had taken college math courses had significantly higher D' Amore test Scores than those who had not taken college mathematics courses. Also, higher college mathematics grades were associated with higher D'Amore Test Scores. ********** Standing, Sproule, & Leung (2006) examined elementary arithmetic abilities of undergraduate business and economic majors at a university in Canada. Using the D'Amore test of elementary arithmetic they found that the majority of college students (59.7%) tested received a failing grade, thus raising an important issue regarding the prevalence of substandard mathematics abilities in university students. We sought to examine the notion that experience in any type of college mathematics course might be associated with or affect elementary arithmetic performance in both undergraduate and graduate students. We thus administered the D' Amore test to a sample of undergraduate and graduate students at Cameron University along with a brief demographics questionnaire. Method Participants One hundred and fifty-eight students attending Cameron University, including undergraduates (97.0%) and graduate students (3.0%) were the participants. The age of the participants ranged from 18 to 54. There were 54% females and 46% males in the study. Psychology and business majors composed a majority of the sample (22.1% and 25.3%, respectively), while the remaining 52.6% were of a wide variety of academic disciplines across campus. Survey The D'Amore Test is a 10-item mathematics questionnaire, which was adopted by Lou D' Amore in 1992 to assess simple arithmetic skills and was employed many years earlier to test 3rd grade math students (Cornwall, 1999; Hume, 1932). The current demographics survey contained questions regarding the subjects' age, gender, class standing, major, college mathematics courses taken and grade in the listed mathematics courses. Procedure Participants were instructed to read and sign an informed consent document which briefly described the purpose of the study, the risks and benefits of participation in the study, and a statement of confidentiality. The participants then filled out a short demographics questionnaire and completed the D'Amore test. No calculators were allowed and written rough work was permitted. All of the participants completed the surveys voluntarily and if they were psychology students they were given extra credit in one psychology course. Scores on the D'Amore test were calculated for each participant. A passing grade was a 10 out of 10 on the D'Amore test. All of the data from the surveys were entered into SPSS v. 13 for statistical analysis which included calculation of descriptive statistics and One-way ANOVA. Results We found that 31.7% of the subjects passed the test. The mean test score was 8.38, SD = 1.74, and the range was 0 to 10. We found that that D'Amore test scores were significantly higher in those subjects with college mathematics experience. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,003
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,011
Score d'incertitude au seuil0,022

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,003
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0010,000
Communication savante0,0010,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

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 Opus0,041
Tête enseignante GPT0,394
Écart entre enseignants0,353 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2009
Routes d'admission1
Résumé présentoui

Explorer davantage

Même revueCollege student journalMême sujetMathematics Education and ProgramsTravaux en français237 207