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<title>Teaching Colloquium - AI Tools and Grading</title>
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<div class="band">
<div class="kicker">Colorado State University - HES 419</div>
<h1>AI-Created Learning Tools and AI Grading Assistance</h1>
</div>
<!-- Section 1: AI-Created Learning Tools -->
<div class="section" id="learning-tools">
<h2>1) AI-Created Learning Tools</h2>
<p><small>One-page preview of the interactive tool used in class.</small></p>
<div class="grid">
<div class="card">
<h3>Interactive Tool (PDF)</h3>
<p>Quick tour of the student-facing activity (tolerance, dependence, SUD criteria, withdrawal).</p>
<a class="button" href="./interactive_tool.pdf" target="_blank" rel="noopener">Open PDF</a>
</div>
</div>
</div>
<!-- Section 2: AI Grading Assistance -->
<div class="section" id="grading">
<h2>2) AI Grading Assistance</h2>
<p><small>See the rubric formatted for autograding and an example of the graded output.</small></p>
<div class="grid">
<div class="card">
<h3>Autograder-Friendly Rubric</h3>
<p>Criteria and weights aligned to learning objectives; PDF format.</p>
<a class="button" href="./autograder_friendly_rubric.pdf" target="_blank" rel="noopener">Open Rubric (PDF)</a>
</div>
<div class="card">
<h3>Grading Output (CSV)</h3>
<p>Example of AI-assisted scoring output with itemized feedback.</p>
<p class="mono"><a class="button" href="./autograding_example.csv" target="_blank" rel="noopener">Download CSV</a></p>
<div id="csv-preview">
<small>Inline preview:</small>
<div id="csv-table">Loading...</div>
</div>
<p class="note">If the preview does not load on your device, use the Download CSV button above.</p>
</div>
</div>
</div>
<p class="note" style="margin-top:20px">
Questions? Ask about reliability evidence, Canvas flows, and auto-download certificates.
</p>
<script>
// Simple CSV parser for comma-separated rows with optional quotes.
function parseCSV(text) {
const rows = [];
let i = 0, field = '', row = [], inQuotes = false;
while (i < text.length) {
const c = text[i];
if (inQuotes) {
if (c === '"') {
if (text[i+1] === '"') { field += '"'; i++; } else { inQuotes = false; }
} else { field += c; }
} else {
if (c === ',') { row.push(field); field = ''; }
else if (c === '\n' || c === '\r') {
if (c === '\n') { row.push(field); rows.push(row); row = []; field = ''; }
} else if (c === '"') { inQuotes = true; }
else { field += c; }
}
i++;
}
if (field.length || row.length) { row.push(field); rows.push(row); }
return rows.filter(r => r.length && r.some(cell => cell.trim().length));
}
async function loadCSV() {
try {
const res = await fetch('./autograding_example.csv', { cache: 'no-store' });
if (!res.ok) throw new Error('Fetch failed');
const text = await res.text();
const normalized = text.replace(/\r\n/g, '\n');
const rows = parseCSV(normalized);
if (!rows.length) throw new Error('No rows');
const header = rows[0];
const body = rows.slice(1);
const table = document.createElement('table');
const thead = document.createElement('thead');
const trh = document.createElement('tr');
header.forEach(h => { const th = document.createElement('th'); th.textContent = h; trh.appendChild(th); });
thead.appendChild(trh);
table.appendChild(thead);
const tbody = document.createElement('tbody');
body.forEach(r => {
const tr = document.createElement('tr');
header.forEach((_, idx) => {
const td = document.createElement('td');
td.textContent = (r[idx] ?? '').trim();
tr.appendChild(td);
});
tbody.appendChild(tr);
});
table.appendChild(tbody);
const mount = document.getElementById('csv-table');
mount.innerHTML = '';
mount.appendChild(table);
} catch (e) {
const mount = document.getElementById('csv-table');
mount.textContent = 'Preview unavailable (file missing or blocked). You can still use the Download CSV button above.';
}
}
loadCSV();
</script>
</body>
</html>