Showcase & Workshop

Exhibition for Learning Analytics Technology

General information

Exhibition products and researches:

Presentation schedule

Sep. 21 2:00pm - 5:00pm Workshop I: Building the infrastructure for the Next Generation Digital Learning Environment using Tsugi (led by Prof. Charles Severance)
(Abstract) This workshop will introduce attendees to the Tsugi learning application framework. With Tsugi you can easily develop rich and powerful tools that plug in seamlessly to any LMS. Tsugi implements the IMS standards and provides easy-to-use APIs to allow developers to focus on building new and interesting tools. Tsugi tools support IMS Learning Tools Interoperability (LTI) 1.1, LTI 2.0, IMS ContentItem and IMS Community App Sharing Architecture (CASA) and can be served as part of an interoperable learning Tool App store. As new standards are approved such as those for analytics, Tsugi will support those standards as well.
Sep. 22 10:00am - 12:00pm Product and research show cases
VitalSource Bookshelf Title: VitalSource approach to content usage data analytics (Abstract) The VitalSource platform provides best-in-class user interaction with content without compromising the user-engagement data available to instructors and (in some cases) content owners. VitalSource is working with influential standards development bodies in the US and around the world to deliver data that can be used for early intervention and remediation to ensure student success. The session will demonstrate the VitalSource approach to data management and delivery, including dashboards, standards-based data feeds, and even real-time Caliper feeds of engagement data.
Wedu Commuications Title: Open Life Learning (OLL) Service (Abstract) Curiosity is human instinct. However, current our education is difficult, boring, far from the real world. Now wedu communications wants to overturn that paradigm. As the first step, Wedu develop the Global elementary math service which is called KIDS/MATH. Base on Globalized curriculum, KIDS/MATH offers contents. In that service, Wedu is collecting and analyzing learning data, such as learner’s Behavior, taste, achievement, to provide personalized content curation service. It drives leaner to full study as the way of a fun and personalized learning.
Case Studies for Learning Analytics
University of Michigan Title: Building Analytics Infrastructure for a Distributed Learning Environment (Abstract) For years, University of Michigan researchers have been active in the learning analytics standards development community. Recently they have implemented an infrastructure to support it. Caliper (IMS Global) was selected as the representation of events (students' interactions with online course materials), and multiple applications identified as possible event emitters. Lecture Capture (U-M), a PHP-based lecture video player, was selected as prototype. Development to finish Caliper's PHP implementation began while Lecture Capture was instrumented with it. Lecture Capture emitted events to testing and conformance endpoints. Learning record store applications were evaluated as possible endpoints to collect events. The OpenLRS (Apereo Foundation) endpoint was selected. Development to complete OpenLRS' Caliper support began. Lecture Capture service owners asked that impact on their system from endpoint problems must be mitigated. This inspired development of Viadutoo, a caching proxy endpoint, which was integrated into Lecture Capture. Viadutoo adds robustness to the infrastructure by storing event data during endpoint outages. With all components ready, production deployment was completed, and the infrastructure activated. The infrastructure is monitored, ensuring availability and revealing millions of events were collected in the first months. Another application, Problem Roulette (U-M), has been instrumented and added to the environment, increasing the event collection rate. Researchers now maintain the environment, increase its capacity, and improve OpenLRS' event querying features. Researchers and faculty now prepare for analysis of event data, to give reports and visualizations of students' interactions with online education resources.
UC Berkeley Title: Learning Analytics - A Pragmatic Pilot (Abstract) UC Berkeley is conducting a pilot learning analytics project involving a limited number of students. Our implementation addresses three particular areas of practical concern: standards interoperability; privacy and transparency issues; and effective presentation. Our learning records store (LRS) is configured to accept events in both the Experience API (xAPI) and IMS Caliper standards, and uses a further translation layer to accept the proprietary event format provided by Instructure's Canvas Learning Management System (LMS). Since these standards are varied and evolving, considerable care is needed to maintain interoperability. The privacy concerns of instructors and students alike set an extremely high standard for transparency in our data collection. We have developed a privacy dashboard for student use, which explains the nature of the learning data collected and provides some degree of control over the uses to which that data is put. Finally, we are collaborating with student advising services to design a dashboard presentation layer that offers effective visualizations of student engagement and academic success.
Sep. 22 2:00pm - 5:00pm Workshop II: IMS Caliper with Moodle (led by Stephen Vickers)
(Abstract) IMS Caliper is a specification for the collection of rich contextual data about learning interactions. It includes a Sensor API™ for capturing and reporting this data to an event store for sharing with learning analytics applications. As a leading LMS, Moodle is being instrumented for emitting Caliper events. This workshop will explore the open source Caliper module for Moodle, the metric profiles currently implemented and how it might be extended to enhance the generated event stream. The proposed Caliper 1.1 specification includes a mechanism by which the events captured for a user's session can include those generated by third-party applications integrated into an LMS using the IMS LTI® (Learning Tools Interoperability®) specification. The workshop will demonstrate this process using a sample LTI Tool Provider application instrumented with the Caliper Sensor API.


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