RESUMO
The most important factors affecting students' mathematics achievement are affective-motivational factors. Grounded on self-determination theory, expectancy-value theory, and control-value theory, we examined the relationship between self-determined motivation (i.e., intrinsic motivation and career motivation) and mathematics anxiety (cognitive and affective components) with mathematics achievement. The authors examined the proposed relations using cross-sectional data of senior two (grade eight) students in Northern Rwanda. Exploratory and confirmatory factor analyses of the subscales adapted from the Science Motivation Questionnaire (SMQ and SMQ-II) confirmed a two-factor structure for mathematics anxiety and a two-factor structure for self-determined motivation. The adapted subscales showed good internal consistency, convergent validity, and discriminant validity. Furthermore, the findings suggest that the adapted subscales can be used to assess intrinsic motivation, career motivation, and mathematics anxiety among Rwandan students in senior two. Based on the findings, mathematics anxiety is a two-dimensional construct comprising both cognitive and affective components, and these components differ in their relationship with mathematics achievement. Cognitive mathematics anxiety was negatively related to mathematics achievement more than affective mathematics anxiety; intrinsic motivation and career motivation were positively related to mathematics achievement. These findings suggest that teachers should promote more self-determined motivation among senior two students to improve their mathematics achievement. Additional longitudinal research is needed to determine whether the observed differential relationship patterns between mathematics anxiety components and mathematics achievement persist over time.
RESUMO
Classroom observation has played a role in documenting classroom practices to improve teaching and learning outcomes. This dataset allows teachers, researchers, and educational policymakers to reanalyze it depending on the interest variables and understand Rwanda's current physics education. The data was collected among qualified teachers from selected schools in Kigali city and rural eastern province in Rwanda. Classroom observation data were collected using the Reformed Teaching Observation Protocol (RTOP) and Classroom Observation Protocol for Undergraduate STEM (COPUS). This data article describes the collected data, research design undertaken, and methods used to collect and analyze them." The data collected are valid and reliable due to standard instruments used and consistent agreement between classroom observers. A step-by-step procedure on collecting and analyzing COPUS data and checking interobserver reliability has been detailed and informed in supplementary materials.
RESUMO
This dataset is an accumulation of data collected to test Rwandan physics students' conceptual understanding of light phenomena and to assess instructional tools for active learning of optics. We collected and analysed data from 251 grade 11 (senior 5) students using our Light Phenomena Conceptual Assessment (LPCA) tool and from 136 grade 10 (senior 4) students using Geometric Optics Conceptual Understanding Test (GOCUT) in 2019. Before collecting data, we designed and validated LPCA and GOCUT, and tested their reliability. Data were collected before and after students learnt about the unit of light. Both day and boarding schools in rural and urban areas were included in our sampling. Data collected were test scores from students after performing a 30-item LPCA test or 25-item GOCUT test in 40 minutes. The data may be reused to extend students' understanding of optics concepts through item analysis, analysis of school characteristics such as location and school type, or by analysing students' characteristics such as subject combinations.
