Adolescent Students' Tendencies towards Using Artificial Intelligence (ChatGPT) to Solve Their Social Problems: A Psychological and Educational Study

Abstract: Given the digital revolution currently underway in the world, which has impacted all aspects of life within societies, particularly among adolescents who are open to experiencing new experiences in line with their psychological and educational needs, previous literature has revealed a paucity of studies addressing adolescents' use of ChatGPT to solve their social problems and the effects of this use on their social problem-solving skills. Therefore, the current study aimed to identify the educational and psychological reasons for adolescent students' tendencies toward using artificial intelligence (ChatGPT) to solve their social problems.The researcher used the descriptive approach, and the study sample included a purposive sample of 30 students from Al-Sa'idiya School in Salalah, grades 10-12, in the Dhofar Governorate of the Sultanate of Oman, who completed the study's interview questionnaire. The research concluded that: There is an impact of using artificial intelligence (AI) (ChatGPT) to solve social problems among adolescent students, that training or guidance programs conducted at schools are insufficient, and that programs directed at families regarding rational methods for using AI (ChatGPT) to solve social problems with adolescents are weak. The inability of some teachers to employ educational activities to meet the needs of adolescent students may be a result of poor academic preparation that does not include familiarity with AI programs.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-02-03
DOI
https://doi.org/10.5281/zenodo.19024001
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
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article

Adolescent Students' Tendencies towards Using Artificial Intelligence (ChatGPT) to Solve Their Social Problems: A Psychological and Educational Study

Muhammad Jamil, Adel Hussin Ali Mohamed*, Firas Mohammed
Zenodo (CERN European Organization for Nuclear Research)
Organizational and Employee Performance
article

Adolescent Students' Tendencies towards Using Artificial Intelligence (ChatGPT) to Solve Their Social Problems: A Psychological and Educational Study

Muhammad Jamil, Adel Hussin Ali Mohamed*, Firas Mohammed
article en

Abstract

Abstract: Given the digital revolution currently underway in the world, which has impacted all aspects of life within societies, particularly among adolescents who are open to experiencing new experiences in line with their psychological and educational needs, previous literature has revealed a paucity of studies addressing adolescents' use of ChatGPT to solve their social problems and the effects of this use on their social problem-solving skills. Therefore, the current study aimed to identify the educational and psychological reasons for adolescent students' tendencies toward using artificial intelligence (ChatGPT) to solve their social problems.The researcher used the descriptive approach, and the study sample included a purposive sample of 30 students from Al-Sa'idiya School in Salalah, grades 10-12, in the Dhofar Governorate of the Sultanate of Oman, who completed the study's interview questionnaire. The research concluded that: There is an impact of using artificial intelligence (AI) (ChatGPT) to solve social problems among adolescent students, that training or guidance programs conducted at schools are insufficient, and that programs directed at families regarding rational methods for using AI (ChatGPT) to solve social problems with adolescents are weak. The inability of some teachers to employ educational activities to meet the needs of adolescent students may be a result of poor academic preparation that does not include familiarity with AI programs.

Zenodo (CERN European Organization for Nuclear Research)
Government College University, Lahore (PK), Gulf University (RS)
No poverty
Openalex Percentile: Top 26%
Organizational and Employee Performance
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