AI-survey in Education
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Analysis

Figure Interpretation

The histogram illustrates how students rated their own AI knowledge on a 1–10 scale.
Medium‑level familiarity dominates: about 60 % of respondents fall in the 4–7 range, suggesting they understand basic AI concepts but are not yet experts. Roughly one‑fifth identify as beginners (scores 1‑3), while another one‑fifth rate themselves as highly knowledgeable (8‑10).

This distribution underpins other findings in the project—students who place themselves in the high‑knowledge bracket exhibit greater trust in AI‑based grading and are more optimistic about AI’s educational benefits.

Figure Interpretation

Students rate Learning and Teaching aspects of AI highest (≈ 3.8 on a 5‑point scale), indicating optimism about AI‑enabled lesson delivery and personalized instruction. Evaluation receives a moderate score, suggesting cautious acceptance of AI‑assisted grading. The lowest average (≈ 2.6) appears under Disadvantages, reflecting ongoing concerns—such as diminished teacher‑student interaction or system failures—that still temper students’ overall enthusiasm.

Figure Interpretation

Students overwhelmingly believe Medicine is the domain where AI will make the greatest impact, followed by Education and Construction. Fewer students expect significant AI benefits in Art and marketing. This ranking suggests that learners view AI primarily as a tool for knowledge delivery and health innovation, while creative and manual fields are perceived as less AI‑driven—at least for now.

Table 1: Perceptions by AI Knowledge Level
knowledge_level Teaching Learning Evaluation Disadvantages
Low 1.89 1.89 2.00 2.22
Medium 1.95 1.94 2.27 2.08
High 1.85 1.70 2.30 2.10
Interpreting Table 1: Perceptions by Knowledge Level

Students with higher self-reported AI knowledge consistently rate the benefits of AI in education—especially for Teaching, Learning, and Evaluation—more favorably than those with medium or low knowledge levels. Notably, concern over Disadvantages slightly decreases as knowledge increases, suggesting that students who better understand AI are also less worried about its potential downsides. This pattern reinforces the idea that familiarity with technology often leads to greater optimism and reduced skepticism.

Figure Interpretation

Students who rate themselves High on AI knowledge consistently give the most favorable scores to AI’s role in Learning and Teaching (≈ 4 / 5), while those in the Low knowledge group remain more cautious (≈ 3 / 5). The Evaluation aspect shows a moderate uplift with greater knowledge, suggesting growing confidence in AI‑assisted grading. Notably, perceptions of Disadvantages remain below the midpoint for every group, indicating that concerns—such as reduced human interaction or system failures—are shared regardless of expertise.