Perceptions of the generative AI-enabled cognitive offload instruction in English writing
Hui Hong, Poonsri Vate-U-Lan, Chantana Viriyavejakul
Abstract
This study examines the students’ perceptions of the generative artificial intelligence (AI)-enabled cognitive offload instruction and its effectiveness in improving their critical thinking skills in writing English essays. This qualitative research collects data from 120 students through focus group discussions and is analyzed by Word Clouds to generate a visual representation of the word frequencies. The findings reveal that generative AI-enabled cognitive offload instruction had: i) an impact on critical thinking and writing skills; ii) effective features of Skywork, ability to generate relevant prompts and provide constructive feedback; iii) use of Skywork in developing stronger arguments; iv) promoting critical examination of different perspectives; v) interactive nature and motivation; vi) enhanced analytical skills; vii) impact on essay structuring and organization; viii) feedback and revision process; and ix) transferability of critical thinking skills. This study concludes that the highest frequency was Skywork, ability, writing, feedback, evidence, skills, thinking, arguments, essays, and peers. Students recommend in-depth explanations for complex topics, advanced tutorials, regular updates, collaboration features, advanced modules, and personalized learning paces to enhance Skyworks’s integration into instruction.
Keywords
China; Cognitive offload instruction; Generative AI-enabled; Skywork; Student’s perceptions
DOI:
http://doi.org/10.11591/ijere.v14i3.33138
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International Journal of Evaluation and Research in Education (IJERE) p-ISSN: 2252-8822, e-ISSN: 2620-5440 The journal is published by Institute of Advanced Engineering and Science (IAES) .
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