Research Article
Izida I. Ishmuradova, Sergei P. Zhdanov, Sergey V. Kondrashev, Natalya S. Erokhova, Elena E. Grishnova, Nonna Yu. Volosova
CONT ED TECHNOLOGY, Volume 17, Issue 3, Article No: ep579
ABSTRACT
The development of generative artificial intelligence (AI) has started a conversation on its possible uses and inherent difficulties in the field of education. It becomes essential to understand the perceptions of pre-service teachers about the integration of this technology into teaching practices as AI models including ChatGPT, Claude, and Gemini acquire popularity. This investigation sought to create a valid and trustworthy instrument for evaluating pre-service science teachers’ opinions on the implementation of generative AI in educational settings related to science. This work was undertaken within the faculty of education at Kazan Federal University. The total number of participants is 401 undergraduate students. The process of scale development encompassed expert evaluation for content validity, exploratory factor analysis, confirmatory factor analysis, and assessments of reliability. The resultant scale consisted of four dimensions: optimism and utility of AI in science education, readiness and openness to AI integration, AI’s role in inclusivity and engagement, and concerns and skepticism about AI in science education. The scale demonstrated robust psychometric properties, evidenced by elevated reliability coefficients. Cluster analysis unveiled distinct profiles of pre-service teachers based on their responses, encompassing a spectrum from enthusiastic participants to skeptical disengaged individuals. This study provides a comprehensive instrument for evaluating pre-service teachers’ perceptions, thereby informing teacher education programs and professional development initiatives regarding the responsible integration of AI. Recommendations entail the validation of the scale across varied contexts, the exploration of longitudinal changes, and the investigation of subject-specific applications of generative AI in science education.
Keywords: generative artificial intelligence, science education, scale development, pre-service teacher’s perceptions
Research Article
Othman Abu Khurma, Nagla Ali, Myint Swe Khine
CONT ED TECHNOLOGY, Volume 15, Issue 4, Article No: ep458
ABSTRACT
This study explored how students and teachers perceived the interdisciplinary integration of 3D printing technology in teaching and learning within the United Arab Emirates (UAE) elementary schools and its relation to students’ attitudes toward STEM careers. The study participants were 148 students and seven teachers from two elementary schools in the UAE. Technological, pedagogical, and content knowledge framework was used to guide the planning and integration of 3D printing into teaching and learning. Both quantitative and qualitative data collection tools were used to collect data from students and teachers. The data collection tools included a student’s survey, teachers’ interviews, and students’ focus group interviews. The study’s findings confirmed those of existing literature, which stressed the positive perceptions of students and teachers regarding the interdisciplinary integration of 3D printing technology in teaching and learning. Furthermore, students’ perception was positively correlated with students’ attitudes toward STEM careers. However, the study found that teachers were more likely to implement 3D printing in their classrooms when they receive proper training on the pedagogical and technical aspects of 3D printing, and hence addressing the possible challenges of integrating this technology in teaching and learning.
Keywords: 3D printing, STEM, interdisciplinary integration, teacher’s perception, student’s perception