Table 1_Structural barriers to university counselling and ChatGPT as a preferred help-seek

328 first-year students at Astana IT University were surveyed, with 70.1% of non-users preferring ChatGPT as an alternative to professional counselling. The dataset includes results from a convergent mixed-methods study, authored by Assel Issakhanova and last updated in May 2026. It documents structural barriers to university counselling services and student preferences for AI-based help.

Use Cases

• Analyze barriers to mental health service utilization based on reported scheduling difficulty and confidentiality concerns.
• Study the displacement of traditional services by AI tools based on the stated preference for ChatGPT.
• Investigate cultural mediation of distress reporting based on the divergence between quantitative resilience scores and qualitative interview themes.
• Evaluate policy recommendations for digital mental health platforms based on the study's evidence-informed proposals.

Strengths

• Includes quantitative data from 328 survey respondents with a 72.9% response rate.
• Qualitative analysis of 103 in-depth interviews with high inter-coder consistency (κ = 0.82).
• Reports specific barrier statistics: 84.8% cited scheduling difficulty, 73.0% confidentiality concerns, 62.3% low trust in competence.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect geographic and institutional bias inherent to a single university in Kazakhstan.

Provenance

Source

Assel Issakhanova via figshare.

Collection Method

Convergent mixed-methods design employing a quantitative survey and semi-structured interviews, analyzed with NVivo 14.

Freshness

Last updated 2026-05-29 06:07:28; freshness should be verified.

Geography

Kazakhstan, specifically Astana IT University.