90% of open-ended survey responses about the ChatGPT activity were neutral in sentiment, with 2% positive and 8% negative¶

Claim · All claims
Evidence · 1 study · associational r1 · q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person

Subclaims¶

q2 i? Sentiment polarity analysis of responses to the open question about what students liked most showed 90% neutral, 2% positive, and 8% negative responses. → Elizondo-García ME 2025

Evidence¶

Elizondo-García ME 2025¶

Elizondo-García ME, Hernández-De la Cerda H, Benavides-García IG, Caratozzolo P and Membrillo-Hernández J (2025) Who is solving the challenge? The use of ChatGPT in mathematics and biology courses using challenge-based learning. Front. Educ. 10:1417642. https://doi.org/10.3389/feduc.2025.1417642

q2 · i? · associational · r1

Sentiment polarity analysis using Python's TextBlob library on open-ended responses from both courses, scored from −1 (negative) to 1 (positive) with 0 neutral. The authors interpret the high neutral share as indicating students "might still lack familiarity with ChatGPT’s full capabilities or harbor uncertainties about its potential."

"The sentiment distribution revealed that 90% of the responses were neutral, while only 2% were positive and 8% negative (Figure 2A)."

Discussion¶

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