محمد خسروی طناک

This study seeks to explore the implications of Bruno Latour’s Actor-Network Theory (ANT) regarding the integration of artificial intelligence into educational processes. The research employs a qualitative “theoretical essay” methodology, utilizing “document analysis” as the primary tool for data collection. the research data were mainly gathered through primary texts of Actor–Network Theory and secondary texts. Theoretical foundations and relevant literature on Actor-Network Theory were analyzed through a reflective and interpretive approach from an ANT perspective. Findings reveal that agency is no longer exclusive to humans but is distributed across unstable, multi-centered networks; meaning is not transmitted by teachers but is continuously co-constructed through interactions among human and non-human actors; and ethical responsibility no longer rests on any single individual, but is embedded within and interrogated by the opaque structures of algorithmic black boxes. In this context, humanity in education can no longer be defined in opposition to machines, but rather emerges through capacities of negotiation, interpretation, and regulation within technologically mediated networks. In conclusion, this article argues that the future of education lies not in resisting technology, but in consciously redefining the human role not as the sole possessor of agency, but as the network’s regulator, interpreter of meaning, and architect of humanistic values amidst interactions with non-human elements. This perspective necessitates the design of interpretable AI systems, the cultivation of critical algorithmic literacy, and the establishment of multi-stakeholder ethical oversight mechanisms.

The present research was conducted with the aim of measuring the effectiveness of face to face and virtual in-service training of elementary school teachers in Birjand city based on the Kirkpatrick model and comparing them. The current research method is a quasi-experimental pre-test-post-test type. The statistical population of this research includes all primary school teachers of Birjand city who have participated in in-service and virtual courses in the academic year 2023-2024. Using available sampling, 45 teachers participating in face-to-face courses and 45 teachers participating in virtual courses were selected. In the first level, i.e. reaction, participants' opinions were collected in two stages (the beginning of the courses and the end of the courses). The tool used at this level was a researcher-made questionnaire. The second level, i.e. learning, was conducted using a researcher-made test of 19 questions and was performed as a pre-test and post-test. In the third level, i.e. behavior, data was collected 5 months after the end of the courses using the teachers' self-evaluation form and the teachers' evaluation form by their managers. The results of the inter-subject effects test to compare the reaction level components in the post-test stage and the f value obtained for all components are significant at the alpha level of 0.05. The F value obtained in the results of covariance analysis for comparing learning scores in the post-test stage is 26.563. The value of the t statistic and the value of the significance level for comparing the scores of the behavior level show that there is no difference in the variance between the two groups of face-to-face and virtual education The findings of the research show that face-to-face and virtual in-service courses are effective in the levels of reaction, learning and behavior, and there is a significant difference between the effectiveness of face-to-face and virtual courses; So that the obtained averages show that face-to-face training can have a significant effect compared to virtual training in these three levels.