Research Article
Mohamed Ali Elkot, Eltaieb Youssif, Omer Elsheikh Hago Elmahdi, Mohammed AbdAlgane, Rabea Ali
CONT ED TECHNOLOGY, Volume 17, Issue 1, Article No: ep549
ABSTRACT
Utilizing artificial intelligence (AI) technology in educational institutions for students with mild intellectual disabilities offers promising avenues for enhancing this population’s learning outcomes and skill development. This study aims to investigate the effect of using generative conversational AI to improve English communication skills among students with mild intellectual disabilities. The study involved twelve students diagnosed with mild intellectual disabilities, divided equally into two groups. Six students engaged in guided conversations with AI, while the other six participated in free conversations with AI. These participants were randomly chosen from educational institutions specializing in intellectual disability education and mainstream schools. The results indicate that guided conversations significantly enhance English communication skills among participants. Additionally, the study highlights the development gains from engaging in guided conversations by AI applications. Statistical analysis reveals notable differences in the effect of guided versus free conversational approaches, with guided conversations yielding superior outcomes. This underscores the importance of structured guidance for comprehension and participation in different English communication skills among students with mild intellectual disabilities. Moreover, the study recommends the integration of AI tools in education to support students with disabilities, emphasizing the need for tailored AI applications to cater to diverse learning needs.
Keywords: conversational AI, intellectual disability, education, communication skills
Research Article
Olga V. Sergeeva, Marina R. Zheltukhina, Goliya I. Bikbulatova, Ekaterina G. Sokolova, Olesya Yu Digtyar, Alexey I. Prokopyev, Zhanna M. Sizova
CONT ED TECHNOLOGY, Volume 15, Issue 4, Article No: ep483
ABSTRACT
This study aimed to explore the impact of different dimensions of communication skills, namely competence (COMP), self-esteem (SELF), social communication challenge (SCC), and listening-speaking (LI-S) on the utilization of information and communication technology (ICT) for student support (SS) and instructional design (ID). This study implemented inferential statistical methods to explore the impact of different dimensions of communication skills on the utilization of ICT among pre-service teachers. A sample of 324 pre-service teachers from Kazan Federal University was examined, utilizing validated scales adapted to the Russian context, with data analyzed using structural equation modeling to identify complex relationships between variables and to ascertain potential differences according to gender and department. The results demonstrated a significant positive relationship between participants’ perceived COMP in communication skills and their information and communication technology competencies (ICTCs), both in SS and ID. This suggests the need for targeted training to enhance educators’ communication competencies for optimal ICT utilization. Conversely, SELF and LI-S communication skills did not significantly influence ICTCs, indicating that these elements do not necessarily result in more effective ICT use in educational contexts. However, handling SCCs was positively associated with ICTCs in ID but not for SS, indicating a nuanced relationship between different communication skills and areas of ICT utilization. The study findings provide implications for professional development programs and underline the importance of certain dimensions of communication skills in leveraging ICT in education. Further research is recommended to verify these findings across different populations and educational settings.
Keywords: information and communication technology competency, communication skills, pre-service teacher, structural equation modeling