SIGCSE 2024 (#65)

* added affiliated event page * added redirect * added links to emails and websites * deleted scss file * updated link * fixed format * moved event page out of blog folder
PrairieLearn · Nov 30, 2023 · b7cc798 · b7cc798 · vercel · Nov 30, 2023
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diff --git a/src/pages/sigcse2024/index.tsx b/src/pages/sigcse2024/index.tsx
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+import React from "react";
+import classnames from "classnames";
+import Head from "next/head";
+
+import { PageBanner } from "../../components/Banner";
+import { Heading } from "../../components/Heading";
+import Stack from "../../components/Stack";
+
+export default function SIGCSE2024() {
+  return (
+    <React.Fragment>
+      <Head>
+        <title>SIGCSE 2024</title>
+      </Head>
+
+      <PageBanner
+        title="SIGCSE 2024"
+        subtitle="Technical Symposium on Computer Science Education"
+      />
+
+      <div className={classnames("container-fluid py-4")}>
+        <div className="container-md pt-2">
+          <Stack spacing={4}>
+            <Heading>
+              Affiliated Event: Spiffy Assessments with PrairieLearn
+            </Heading>
+
+            <p>
+              A key element in both mastery learning and competency-based
+              education involves providing students with multiple opportunities
+              to practice with rapid feedback, a feature provided by
+              autograders. PrairieLearn is an open-source assessment authoring
+              system that empowers the development of exceptionally rich
+              interactive STAR questions &#8212; Skill-specific, Tagged to
+              course competencies, Auto-graded, and Randomizable.
+            </p>
+            <p>
+              Questions are formulated as problem generators capable of
+              producing multiple variants of a question. This allows question
+              authors to utilize the same question generator across different
+              assignments and semesters, reducing the workload in the long run
+              and facilitating the implementation of second-chance exams. In
+              addition, this framework empowers students to generate multiple
+              instances of a question, providing them with enhanced practice
+              opportunities.
+            </p>
+            <p>
+              Currently, PrairieLearn is actively adopted in over 800 courses
+              across 20 universities. In this affiliated event, instructors from
+              these courses will showcase the innovative online assessments
+              they’ve created using PrairieLearn, and they are eager to share
+              these resources with the broader instructor community. Presenters
+              will also be happy to discuss their experience authoring these
+              assessments.
+            </p>
+
+            <h4>Organizers</h4>
+            <ul>
+              <li>
+                Prof. Mariana Silva, University of Illinois Urbana-Champaign,{" "}
+                <a href="mailto:[email protected]">[email protected]</a>,{" "}
+                <a href="https://mfsilva.web.illinois.edu/">
+                  https://mfsilva.web.illinois.edu/
+                </a>
+              </li>
+              <li>
+                Prof. Firas Moosvi, University of British Columbia,{" "}
+                <a href="mailto:[email protected]">[email protected]</a> ,{" "}
+                <a href="https://www.cs.ubc.ca/people/firas-moosvi">
+                  https://www.cs.ubc.ca/people/firas-moosvi
+                </a>
+              </li>
+              <li>
+                Prof. Dan Garcia, UC Berkeley,{" "}
+                <a href="mailto:[email protected]">[email protected]</a>{" "}
+                ,{" "}
+                <a href="https://people.eecs.berkeley.edu/~ddgarcia/">
+                  www.cs.berkeley.edu/~ddgarcia
+                </a>
+              </li>
+              <li>
+                Prof. Armando Fox, UC Berkeley,{" "}
+                <a href="mailto:[email protected]">[email protected]</a>,{" "}
+                <a href="https://www2.eecs.berkeley.edu/Faculty/Homepages/fox.html">
+                  www.cs.berkeley.edu/~fox
+                </a>
+              </li>
+            </ul>
+
+            <h4>Tentative Agenda</h4>
+
+            <p>
+              After a brief (~10 minute) overview of PrairieLearn, the
+              subsequent ~80 minutes will be dedicated to showcasing a diverse
+              range of assessments designed for specific skills in both lower-
+              and upper-division computing courses. All these assessments will
+              be available to participants, providing them with the option to
+              “follow along” and actively engage with the live assessments on
+              their own laptops during the event.
+            </p>
+
+            <h4>Who should attend</h4>
+
+            <p>
+              This event is open to any instructor (K-12, higher education,
+              professional/continuing education) interested in mastery learning
+              and competency-based education. It is designed for those who wish
+              to learn how they can use an open-source authoring platform to
+              generate very rich assessments and discover the full potential of
+              such a system. Current PrairieLearn users are also encouraged to
+              participate, not only to gain insights into how others are using
+              the platform, but also to share their experiences and assessment
+              code. This will be a great opportunity for instructors from
+              different backgrounds and experiences to come together, learn from
+              one another, and foster a collaborative exchange of knowledge.
+            </p>
+
+            <h4>Time and Location</h4>
+
+            <p>TBA</p>
+          </Stack>
+        </div>
+      </div>
+    </React.Fragment>
+  );
+}