The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University...

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The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001

Transcript of The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University...

Page 1: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

The

LearningOnline Network with CAPA

(LON-CAPA)

Gerd Kortemeyer

Michigan State University

Work-In-Progress Paper

FIE, Reno, Oct. 2001

Page 2: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

The Tool:Software Platform

•LON-CAPA is a free open-source Instructional Management System and Shared Content Repository•GNU Public License•Non-Commercial alternative to WebCTTM, BlackboardTM, etc. Focus on SMETE.•Based on previous projects at MSU, namely CAPA (1992) and LectureOnline (1997)•Predecessor systems:11,000 students/semester at MSU, licensed by over 50 institutions

Page 3: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

The Tool: Instructional

Management System•Access control•Standard tools: bulletin board, grades spreadsheet, communication•Content posting•SMETE specific: LaTeX support•Online assignments, quizzes, etc.

Page 4: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

The Tool: SMETE Focus Assessment

•Individualized problems: different numbers, different graphs, different options, …•“Classical” online homework types: multiple choice, option response, mix-and-match, string, etc •SMETE types: numerical, multicomponent numerical, physical units, symbolic math, individualized simulations•Combined of the above types•Adaptive immediate feedback•Multiple attempts

Page 5: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

The Tool: SMETE Focus Assessment

•Example: Multicomponent numerical with individualized animation

Page 6: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

The Tool: Shared Resource Pool

•All instructional content goes into cross-institutional shared repository

•LON-CAPA provides online tool, “Resource Assembly Tool” (RAT), to combine content into Custom Online Course Pack

•Working on Intellectual Property Rights Management

Page 7: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

The Tool: RAT

•Pages can be constructed from fragments and other pages

•Sequences can be constructed from fragments, pages, and other

sequences

•Courses point to (top-level) sequences

•Maps at every level are simply other content resources

Page 8: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

The Tool: Coding Environment

•LON-CAPA runs on Linux (target for installs: RedHat distribution)

•Apache webserver

•mod_perl for server-side handlers

•JavaScript for client-side functionality

•MySQL as database for metadata searches

•MuPAD for symbolic manipulations (planned)

Page 9: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

The Project

•“Investigation of a Model for Online Resource Creation and Sharing in Education Settings”•Uses LON-CAPA as model system•Five year project, funded by the National Science Foundation Information Technology Research Program

Page 10: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

The Project: Research Goals

•Open source code development concept for Instructional Management System•Pooling online educational resources between departments, colleges, universities and schools•Business models for “trading” such resources on small level of granularity•Metrics for resource quality and effectiveness•Curriculum adaptivity to learner types and remediation needs

Page 11: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

The Project: Pilot Users, Boards

•Pilot users: 6 high schools, 2 community colleges, 1 four year college, 12 universities•Business advisory board: McGraw-Hill, Saunders, Wiley, Freeman/Worth, Dell, RedHat, Apex Learning, university representatives•Four high school teachers in Research Experience for Teachers (RET) supplement

Page 12: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

The Project: National SMETE Digital

Library•Supplement to cross-integrate LON-CAPA with NSF National SMETE Digital Library•NSDL available to LON-CAPA as content domain•LON-CAPA resource pool available in NSDL as associated library•LON-CAPA can be used as course delivery tool for NSDL content

Page 13: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

The Project: Status

•Started October 2000

•Pilot user meeting at MSU with 50 faculty from other universities, next user meeting: Florida State University

•Programmer Workshop at MSU in Summer

•Two virtual university physics courses, one homework supplement to physics course, one lab course (pre-quiz) at MSU (400 students)

•Chemistry at Simon Fraser, Vancouver, Physics at Truckee Meadows Community College (Reno!).

•Three high school courses

Page 14: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Network Architecture: Distribution

•LON-CAPA is build as a geographically distributed network of

constantly

connected servers

Page 15: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Network Architecture: Domains

•The network is logically divided into domains such as “MSU”, “FSU” or “Publisher X”

•Domains limit the flow of user information

•Domains can limit access to content resources

•Domains limit the extent of user privileges

Page 16: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Network Architecture: Server Types

•Two classes of servers: access servers and library servers

•Access servers: host user sessions – processing

•Library servers: every user and course has a home server in the network which holds all of their resources and data – storage backend

Page 17: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

•Access servers can have a list of spare access servers to offload sessions depending on own work load•Additional round robbin IP scheme possible•MSU setup:

Network Architecture: Load Balancing

msu.lon-capa.org

s1

Library Server

s3s2

s4

Round Robbin

Spares

Page 18: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Network Architecture: Dynamic Replication

•When a content resource is first requested, the access server finds the home library server of the author/owner, subscribes to the resource, and copies it in the background.

•When resource is modified on its library server, subscribed access servers are notified.

•Depending on last date of local access, the access servers copy the new version over, or delete local cached copy.

Page 19: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Resources: Handlers

•Every resource in the system, both content and system programs, is called by URL – all resources can be bookmarked.

•Any resource can be processed on-the-fly while being delivered to the user.

•User calls for a resource, LON-CAPA finds appropriate chain of handlers, processes resource for desired target, and sends it out.

•Chain of handlers can also cover several transactions. Example: user calls for URL, but needs to login first and then pick course.

•All handlers can interact with session environment

Page 20: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Resources: Document-driven processing

•Example: user calls for sample.xml

sample.xmlUses my.style

XML Handler

triggers

my.styleDefines tags for targets

loads

User

SessionEnvironment

Target

Prefe-rences

Page 21: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Resources: XML/MathML/HTML

•XML handler provides rendering of XML and HTML to targets XML, HTML, MathML, and LaTeX

• Math rendering capability: LaTeX can be inserted into HTML and XML documents between <m> and </m> tags. <h1>Identity</h1><img src=“circle.gif” align=“right”>

The <i>identity</i> <m>$\sin^2(\omega t)+

\cos^2(\omega t)=1$</m> allows us to…

•Math fragments are rendered into symbol fonts for target HTML, and MathML for MathML-capable browsers using a derivative of tth/ttm.

Page 22: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Resources: LaTeX

•LaTeX files can be directly put onto the file system, and will be automatically handled as if they had

one large

<m>…</m>

around them

Page 23: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Resources: Assessments

•“Personalized” by course, user, and instance.

•Assessments are XML documents.

•Converters for both CAPA and LectureOnline problems exist (functionality superset).

•Web-based form editor for these XML documents will be provided similar to LectureOnline.

•Code segments within numerical type problems are written in Perl.

•Other problem types need no coding.

Page 24: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Resources: Publication

•Authors have a construction space (private) to edit their resources•Authors can publish their resources into the public resource space•Triggers several actions: generation of a new version (keeping all old versions), collection of metadata for cataloging, notification of all subscribed access servers.

Construction Space Publication Step Resource Space

Metadata

Page 25: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Resources: Metadata

•Metadata is collected for every resource at publication time•Publication

handler

identifies

possible

keywords,

gets default

data

Page 26: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Resources: Granularity

•LON-CAPA RAT allows to dynamically combine content resources at several levels of granularity by reference

•Lowest level: fragments. One GIF, one paragraph of text, one applet, one problem

•Next level: Pages

•Next level: Sequences of pages

•Top-level: Maps for Courses (sequences)

Page 27: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Resources: Adaptivity

•Graphical resource assembly tool (RAT) to construct maps

•Allows for

branching

based on

conditions using

performance data,

course data,

and preferences

•Individualized

curriculum

Page 28: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Data Structure: Users

•Courses are assigned to users, not vice versa

•Users keep their login, data, preferences, etc, throughout complete tenure

•Users assume a set of (temporary) roles over their tenure

Page 29: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Data Structure: Roles

•LON-CAPA has set of roles that can be assigned to users

•Roles can have start and end dates

Page 30: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Data Structure: Privileges

•Each role has a set of privileges•Privileges on

system, domain,

and course level•Allows for

course-

coordinator

defined custom

roles

Page 31: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Data Structure: Courses

•Internally, courses are handled like users without login privileges•Each course has a unique ID, no semester transition•Course points to its top-level resource map•Deadlines, spreadsheets, etc, can be associated with the course•Sections are part of course•Homework and quiz performance data is associated with user by course

Page 32: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Data Structure: Authentication

•Course lists in CSV, tab-separated, and space separated format can be uploaded (planned: XML)

•It is checked if the user already exists; if not, new user is established on one of the library servers of the domain

•Role of student in that course is added

•Users are authenticated by their home server. Authentication can currently be internal, UNIX, or Kerberos. Authentication modular, other modes can be added

•All authentication information is 56-bit (DES) encrypted between client and server, and 128-bit (IDEA) between servers. No certificates necessary.

Page 33: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Data Structure: Resource parameters

•Deadlines, open dates, publish-answer dates, maximum number of attempts, weight of problem parts, etc, can be independently set for courses, sections and individual students

•Can cover all

resources, one

map, or only

one resource

•Resources

publish their

parameters in

metadata, no

predefined set

of parameters

Page 34: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Data Structure: Locking, Offline

•To use LON-CAPA for exams, locking mechanisms will be established: access to resources, all communication can be locked (planned, infrastructure in place)•Role of Exam Proctor in system•To facilitate paper based exams in offline mode, individualized exam sheets can be printed and “checked out” – bar code on top of page to “check in” grades for that exam (planned, infrastructure in place)

Page 35: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

Data Structure: Assessment data

•Only raw data is stored

•All attempts are stored

•Data is stored in non-randomized form to allow for item analysis

•LON-CAPA provides

spreadsheet functionality

with sheets at

assessment, user, and

course level (exporting

into each other) to

calculate grades and

statistics

Page 36: The LearningOnline Network with CAPA (LON-CAPA) Gerd Kortemeyer Michigan State University Work-In-Progress Paper FIE, Reno, Oct. 2001.

On the web ...

•www.lon-capa.org

[email protected]