Claim Missing Document
Check
Articles

Found 12 Documents
Search

Don's Motivation for Speech in Jumbo Animated Films: A Psycholinguistic Study Putri, Sandrina Febiola; Eko Muharudin; Eko Suroso; Sukirno
Ethical Lingua: Journal of Language Teaching and Literature Vol. 13 No. 1 (2026): Volume 13 No 1 April 2026
Publisher : Universitas Cokroaminoto Palopo

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30605/25409190.936

Abstract

Speech motivation in animated films is generally influenced by the emotional dynamics and psychological needs of the characters involved in a particular speech situation. The relationship between internal drives, affective conditions, and language realization has not been fully understood in animated film studies, especially from a psycholinguistic perspective. This study aims to identify and describe the forms of speech motivation of the character Don in the animated film Jumbo (2025) through a psycholinguistic approach supported by pragmatic context analysis. The issues examined in this study are how Don's emotional state and psychological needs become dominant factors in shaping the construction of speech motivation and how this circular pattern of motivation works in speech dynamics. This study uses a qualitative descriptive method with a psycholinguistic approach. The research data consists of quotes from Don's dialogue that contain indications of speech motivation in the film. The data collection technique was carried out through listening and note-taking, while the data analysis technique used an interactive analysis model that included data reduction, data presentation, and verification and conclusion drawing. The research findings were then integrated into a contextual circular model of speech motivation as a conceptual analysis tool to map the relationship between situational stimuli, emotions, psychological needs, communicative goals, and social responses. The results showed that Don's speech motivation was dominated by the needs for belonging and recognition, which emerged through various emotional conditions such as happiness, fear, anger, disappointment, regret, and longing. Each utterance is formed through a circular process involving external stimuli, cognitive evaluation, activation of psychological needs, and linguistic realization in the form of verbal and nonverbal expressions. The circular model of speech motivation formulated in this study shows that speech is the result of psychological drives and becomes an evaluative mechanism that re-influences the
Human and AI Collaboration in Education: Strategies and Ethical Implications Wuri Handayani; Eko Suroso
Proceedings Series on Social Sciences & Humanities Vol. 33 (2026): IN PRESS - Proceedings of the 2nd ICESSHum (International Conference of Educational
Publisher : UM Purwokerto Press

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

The development of artificial intelligence (AI) has brought significant changes in education through the provision of more adaptive, personalized, and data-driven learning. However, its use also raises ethical challenges related to algorithmic bias, data privacy, and potential technology dependence. This research aims to analyze the human-AI collaboration strategy in education and its ethical implications. The method used is a literature study with a qualitative approach, involving the review of scientific books, reputable journal articles, and reports from international institutions. The analysis was carried out through content analysis techniques, comparative analysis, and thematic synthesis. The results of the study show that AI can strengthen learning effectiveness through personification, automated feedback, and student data analysis support. However, the role of teachers remains central in maintaining humanistic aspects, verifying AI recommendations, and ensuring that the learning process takes place ethically and safely. This research emphasizes the importance of AI literacy for teachers, data protection policies, and balanced integration of AI with pedagogical interactions. As such, human–AI collaboration needs to be responsibly designed to support quality, humanitarian-oriented learning.