Characterization of STEM-Motivated High School Students: Focusing on Intelligence, Mathematical Competencies, and Creativity
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| Title: | Characterization of STEM-Motivated High School Students: Focusing on Intelligence, Mathematical Competencies, and Creativity |
|---|---|
| Language: | English |
| Authors: | Lior Miller Markovitz, Gad M. Landau, Roza Leikin (ORCID |
| Source: | Journal for the Education of the Gifted. 2025 48(4):382-403. |
| Availability: | SAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: https://sagepub.com |
| Peer Reviewed: | Y |
| Page Count: | 22 |
| Publication Date: | 2025 |
| Document Type: | Journal Articles Reports - Research |
| Education Level: | Grade 10 High Schools Secondary Education Higher Education Postsecondary Education |
| Descriptors: | Grade 10, High School Students, Dual Enrollment, Bachelors Degrees, Computer Science Education, STEM Education, Academically Gifted, Intelligence, Creativity, Mathematics Skills, Mathematics Achievement, Student Characteristics |
| Assessment and Survey Identifiers: | Raven Progressive Matrices, SAT (College Admission Test) |
| DOI: | 10.1177/01623532251372602 |
| ISSN: | 0162-3532 2162-9501 |
| Abstract: | This study examined characteristics of 458 Grade 10 students who earned a Bachelor of Science degree in computer science while completing their secondary school studies. Cluster analysis of SAT-M and Raven Progressive Matrices Test scores identified four distinct groups: G-EM: generally gifted, excelling in mathematics; AG-AEM: averagely gifted, average mathematical excellence; AG-NEM: averagely gifted, non-excelling in mathematics; NG-AEM: not generally gifted, average mathematical excellence. The G-EM group demonstrated significantly higher general and mathematical creativity compared to all other groups. Post-hoc analysis revealed cluster-dependent and task-dependent correlations between measured criteria. Results suggest creativity levels could serve as an effective criterion for program enrollment decisions. |
| Abstractor: | As Provided |
| Entry Date: | 2025 |
| Accession Number: | EJ1488293 |
| Database: | ERIC |
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