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Technostress and emotional exhaustion in higher education: A qualitative-quantitative correlational study among undergraduate and graduate students

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  • Azucena Natividad Prado-Espinoza

  • Jesus Roger Chavez Parillo

  • Rosario Abigail Castelo-Collado

  • Miguel Angel Zuñiga-Marino

  • Gloria Angélica Achata-Gonzales

  • Bruceli Benito Ala-Gordillo

Abstract

This study is situated within the growing dependence on digital technologies in higher education, which has raised concerns about their impact on students’ emotional well-being. The primary objective was to determine the direct relationship between technostress and emotional exhaustion among undergraduate and graduate students, using a qualitative-quantitative correlational design. Two validated instruments were applied: one measuring technostress (assessing skepticism, fatigue, anxiety, and inefficacy) and another evaluating emotional exhaustion (including overload, overexertion, low mood, insomnia, headaches, fatigue, exhaustion, stress, and study overload). The findings revealed that most participants reported low levels of skepticism (51.7%) and fatigue (47.1%), while a significant proportion presented moderate levels of fatigue (46.6%) and anxiety (42%). Emotional exhaustion emerged intermittently in dimensions such as tension, insomnia, and fatigue. In addition, a noticeable decline in interest in ICT and feelings of frustration associated with their use were identified. Overall, the results confirm a direct relationship between technostress and emotional exhaustion, highlighting the urgency of developing targeted interventions to improve academic well-being.

Suggested Citation

  • Azucena Natividad Prado-Espinoza & Jesus Roger Chavez Parillo & Rosario Abigail Castelo-Collado & Miguel Angel Zuñiga-Marino & Gloria Angélica Achata-Gonzales & Bruceli Benito Ala-Gordillo, 2025. "Technostress and emotional exhaustion in higher education: A qualitative-quantitative correlational study among undergraduate and graduate students," Edelweiss Applied Science and Technology, Learning Gate, vol. 9(10), pages 677-691.
  • Handle: RePEc:ajp:edwast:v:9:y:2025:i:10:p:677-691:id:10486
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