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    <event>
        <id>4021630</id>
        <event_id>1062482</event_id>
        <eventinstance_id>4021630</eventinstance_id>
		<calendar>
			<id>5112</id>
			<title>calendar</title>
			<slug>calendar</slug>
			<url>https://events.ucf.edu/calendar/5112/calendar/</url>
		</calendar>
		<title>AI vs. Academic Honesty: Leveraging Respondus LockDown Browser &amp; Monitor</title>
		<subtitle></subtitle>
		<start_date>Wed, 28 Jan 2026 14:00:00 -0500</start_date>
		<end_date>Wed, 28 Jan 2026 15:00:00 -0500</end_date>
		<location>Faculty Multimedia Center, Classroom Building 1</location>
		<room>Room 201</room>
		<virtual_url></virtual_url>

		<address>
			<building></building>
			<city></city>
			<zipcode></zipcode>
			<state></state>
			<country>
				<id xmlns="urn:oasis:names:specification:ubl:schema:xsd:CommonAggregateComponents-1.0" codeListID="ISO3166-1" codeListAgencyID="6" codeListAgencyName="United Nations Economic Commission for Europe" codeListName="country" codeListVersionID="0.3" languageID="en" codeListURI="http://www.iso.org/iso/en/prods-services/iso3166ma/02iso-3166-code-lists/list-en1-semic.txt" codeListSchemeURI="urn:oasis:names:specification:ubl:schema:xsd:countryIdentificationCode-1.0">US</id>
				<name xmlns="urn:oasis:names:specification:ubl:schema:xsd:CommonBasicComponents-1.0">United States</name>
			</country>
		</address>

		<location_info>
			<location_type></location_type>
			<location_hours></location_hours>
			<location_phone></location_phone>
			<location_website><![CDATA[https://cdl.ucf.edu/support/fmc/]]>
</location_website>
			<directions></directions>
			<map_link></map_link>
			<additional_public_info></additional_public_info>
		</location_info>

		<languages>
			<language>en-US</language>
		</languages>
		<event_transparency></event_transparency>

		<description><![CDATA[<p><span>In an era where AI tools are widespread, maintaining academic integrity in online assessments has never been more challenging. This workshop will explore how Respondus LockDown Browser and Monitor can be effectively used to deter and detect AI-assisted engagement during online assessments. Attendees will gain hands-on experience in configuring exams, understanding monitoring analytics, and implementing best practices to ensure secure and fair testing environments.</span></p>
<p><strong>This workshop is limited to faculty, staff and GTA's.&nbsp;</strong></p>]]></description>
		<short_description></short_description>

		<refreshments></refreshments>
		<webpages>
			<webpage>
				<title>Event Instance url</title>
				<url>https://events.ucf.edu/event/4021630/ai-vs-academic-honesty-leveraging-respondus-lockdown-browser-monitor/</url>
			</webpage>
		</webpages>

		<contact_person>Elisabeth Greenwood</contact_person>
		<contact_email>Elisabeth.Greenwood@ucf.edu</contact_email>
		<contact_phone></contact_phone>

		<category>Workshop/Conference</category>
		<tags>
			<tag>respondus</tag><tag>AI</tag><tag>Training</tag><tag>WebcoursesUCF</tag>
		</tags>
		<registration_link><![CDATA[https://app.acuityscheduling.com/schedule.php?owner=21423896&amp;appointmentType=82669727]]></registration_link>
		<registration_info></registration_info>

		<status>Happening As Scheduled</status>
		<classification>Public</classification>
	</event>

</events>

