Barbara Weissenbacher
Datos Biográficos
| ID | 9588750 |
|---|---|
| NOMBRE | Barbara Weissenbacher |
| NOMBRES | Barbara |
| APELLIDO | Weissenbacher |
| FIRMA | WEISSENBACHER B |
| AFILIACIONES | Institute of Psychology, University of Graz, Graz, Austria |
| ORCID | 0000-0003-2167-3960 |
| VERIFICADO | Sí |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2024 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 0 |
Reading comprehension assessment for student selection
Reading comprehension assessments are widely used in university entrance exams across various fields. These tests vary in text content, answer format, and whether the text remains available while the questions are being answered. We explored how the availability of the text impacts the psychometric quality of the test and what is the best format for assessing reading comprehension in university admissions. We developed a test with four educationa…
AI insights into initial teacher education
Using stacked ensemble machine learning, we aim to predict the dropout of pre-service teachers. By training the data of 2661 students, we investigate the extent to which admission test data and demographic factors predict pre-service teachers’ dropout and how the integration of student success data can improve the accuracy of these predictions. We utilise an ensemble-model approach, consisting of three base models along with a meta-model, incorpo…
What makes future teachers successful? A longitudinal study on pre-service teachers
This study aims to examine pre-service teachers’ academic success longitudinally. We studied in 537 pre-service students how three criteria of success (achievement, intention to persistent and actual retention) could be predicted by demographic, cognitive, personality, and motivational variables. Applying structural equation modelling, we found distinct patterns in the predictive power of the variables across the criteria. About one fourth of the…
Sin obras prominentes en esta página.
What makes future teachers successful? A longitudinal study on pre-service teachers
This study aims to examine pre-service teachers’ academic success longitudinally. We studied in 537 pre-service students how three criteria of success (achievement, intention to persistent and actual retention) could be predicted by demographic, cognitive, personality, and motivational variables. Applying structural equation modelling, we found distinct patterns in the predictive power of the variables across the criteria. About one fourth of the…
Reading comprehension assessment for student selection
Reading comprehension assessments are widely used in university entrance exams across various fields. These tests vary in text content, answer format, and whether the text remains available while the questions are being answered. We explored how the availability of the text impacts the psychometric quality of the test and what is the best format for assessing reading comprehension in university admissions. We developed a test with four educationa…
AI insights into initial teacher education
Using stacked ensemble machine learning, we aim to predict the dropout of pre-service teachers. By training the data of 2661 students, we investigate the extent to which admission test data and demographic factors predict pre-service teachers’ dropout and how the integration of student success data can improve the accuracy of these predictions. We utilise an ensemble-model approach, consisting of three base models along with a meta-model, incorpo…
Mathematics education (3 obras) · Psychology (3 obras) · Computer Science (2 obras) · Pedagogy (2 obras) · Teacher education (2 obras) · Artificial Intelligence (1 obras) · Comprehension (1 obras) · Developmental psychology (1 obras) · Education, Achievement, and Giftedness (1 obras) · Educational and Psychological Assessments (1 obras)