JOURNAL OF COMMUNICATION, LANGUAGE AND CULTURE

Attitudes Toward AI as Communicative Partners: A Human–Machine Communication (HMC) Analysis of Undergraduate Language Learners

The findings demonstrate a dualistic viewpoint: students frequently identify a disparity in affective response, pointing out that these tools provide less emotional depth than human teachers, yet greatly appreciating the functional benefits of AIMLCS.

JOURNAL OF COMMUNICATION, LANGUAGE AND CULTURE

Public responses to teacherless classrooms are shaped by specific ideologies of humanity, morality, labour, and educational authority, demonstrating how public responses to teacherless classrooms are shaped by specific ideologies of humanity, morality, labour, and educational authority.

JOURNAL OF COMMUNICATION, LANGUAGE AND CULTURE

Do Language Textbooks Challenge or Reinforce Cultural Stereotypes? Perspectives of Advanced Learners of Arabic

Language textbooks do more than facilitate linguistic development; they also mediate learners’ encounters with the cultural communities represented through the target language. This role becomes particularly significant in advanced foreign-language education, where learners are expected to engage critically with comple...

Mediation Without a Mind: A Sociocultural Reconsideration of Student Feedback Literacy for Generative AI Feedback in ELT Writing

It is concluded that feedback literacy for generative artificial intelligence should be deliberately developed through teacher-supported mediation, guided verification, reflective revision, comparison of human and artificial intelligence feedback, and selective adaptation of suggestions.

Mapping human–AI communication in a Russian higher education context: a psychometric network analysis of AI literacy and attitudinal dispositions

The findings support the reconceptualization of AI literacy as a communicative-cultural construct in the Russian cultural-communicative context and extend the human-machine communication framework to Russian higher education, a setting underrepresented in AI literacy research.