Evaluating the Impact of Mobile-Integrated Generative AI on University Students' Critical Thinking and Problem-Solving Skills.

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Title: Evaluating the Impact of Mobile-Integrated Generative AI on University Students' Critical Thinking and Problem-Solving Skills.
Authors: Zhang, Shanshan1 p153635@siswa.ukm.edu.my, Adnan, Nor Hafizah1 norhafizah@ukm.edu.my
Source: International Journal of Interactive Mobile Technologies. 2026, Vol. 20 Issue 12, p60-71. 12p.
Subjects: Critical thinking, Human-artificial intelligence interaction, Artificial intelligence, Artificial intelligence in education, Executive function, Problem solving, College students
Abstract: This study explored how mobile-integrated generative artificial intelligence (AI) affects university students' critical thinking, problem-solving, and higher-order cognitive skills. It focused on the influence of generative AI and mobile learning on mobile-assisted language learning (MALL), considering human-AI Interaction as a mediating factor. Researchers used a quantitative approach and gathered data from 320 university students through a structured questionnaire based on validated scales. Partial least squares structural equation modeling (PLS-SEM) was used to evaluate the measurement and structural models, looking at both direct and mediating effects. The results showed that generative AI and mobile learning both had a positive impact on human-AI Interaction, thereby significantly improving MALL. MALL also played a strong role in developing higher-order thinking skills (HOTS). The mediation analysis showed that human-AI Interaction partially explained the link between the independent variables and MALL, underscoring the importance of interactive, personalized AI-supported learning experiences. These results are important for higher education policy and curriculum design. They show the need to include AI-enabled mobile learning tools and encourage interactive engagement to improve cognitive outcomes. In summary, combining AI and mobile learning can help university students develop language skills and higher-order thinking skills. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Evaluating the Impact of Mobile-Integrated Generative AI on University Students' Critical Thinking and Problem-Solving Skills.
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  Data: <searchLink fieldCode="AR" term="%22Zhang%2C+Shanshan%22">Zhang, Shanshan</searchLink><relatesTo>1</relatesTo><i> p153635@siswa.ukm.edu.my</i><br /><searchLink fieldCode="AR" term="%22Adnan%2C+Nor+Hafizah%22">Adnan, Nor Hafizah</searchLink><relatesTo>1</relatesTo><i> norhafizah@ukm.edu.my</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Interactive+Mobile+Technologies%22">International Journal of Interactive Mobile Technologies</searchLink>. 2026, Vol. 20 Issue 12, p60-71. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Critical+thinking%22">Critical thinking</searchLink><br /><searchLink fieldCode="DE" term="%22Human-artificial+intelligence+interaction%22">Human-artificial intelligence interaction</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence%22">Artificial intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+intelligence+in+education%22">Artificial intelligence in education</searchLink><br /><searchLink fieldCode="DE" term="%22Executive+function%22">Executive function</searchLink><br /><searchLink fieldCode="DE" term="%22Problem+solving%22">Problem solving</searchLink><br /><searchLink fieldCode="DE" term="%22College+students%22">College students</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: This study explored how mobile-integrated generative artificial intelligence (AI) affects university students' critical thinking, problem-solving, and higher-order cognitive skills. It focused on the influence of generative AI and mobile learning on mobile-assisted language learning (MALL), considering human-AI Interaction as a mediating factor. Researchers used a quantitative approach and gathered data from 320 university students through a structured questionnaire based on validated scales. Partial least squares structural equation modeling (PLS-SEM) was used to evaluate the measurement and structural models, looking at both direct and mediating effects. The results showed that generative AI and mobile learning both had a positive impact on human-AI Interaction, thereby significantly improving MALL. MALL also played a strong role in developing higher-order thinking skills (HOTS). The mediation analysis showed that human-AI Interaction partially explained the link between the independent variables and MALL, underscoring the importance of interactive, personalized AI-supported learning experiences. These results are important for higher education policy and curriculum design. They show the need to include AI-enabled mobile learning tools and encourage interactive engagement to improve cognitive outcomes. In summary, combining AI and mobile learning can help university students develop language skills and higher-order thinking skills. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Interactive Mobile Technologies is the property of International Journal of Interactive Mobile Technologies and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.3991/ijim.v20i12.62161
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      – Code: eng
        Text: English
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        PageCount: 12
        StartPage: 60
    Subjects:
      – SubjectFull: Critical thinking
        Type: general
      – SubjectFull: Human-artificial intelligence interaction
        Type: general
      – SubjectFull: Artificial intelligence
        Type: general
      – SubjectFull: Artificial intelligence in education
        Type: general
      – SubjectFull: Executive function
        Type: general
      – SubjectFull: Problem solving
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      – SubjectFull: College students
        Type: general
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            NameFull: Zhang, Shanshan
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            NameFull: Adnan, Nor Hafizah
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            – D: 15
              M: 06
              Text: 2026
              Type: published
              Y: 2026
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            – TitleFull: International Journal of Interactive Mobile Technologies
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