ADAPT2 - Revision history

Peterb: /* Contacts */

2025-01-20T23:47:38Z

‎Contacts

Peterb: /* ADAPT2 Protocols */

2025-01-20T23:47:00Z

‎ADAPT2 Protocols

Peterb: /* Overview */

2025-01-20T23:46:02Z

‎Overview

Peterb at 23:41, 20 January 2025

2025-01-20T23:41:27Z

Peterb: /* Overview */

2025-01-20T23:35:22Z

‎Overview

Peterb: /* Overview */

2025-01-20T23:33:57Z

‎Overview

Peterb: /* Overview */

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‎Overview

Peterb: /* Overview */

2025-01-20T23:26:45Z

‎Overview

Peterb: /* Overview */

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‎Overview

Peterb: /* Content Servers */

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‎Content Servers

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 == Contacts ==
 * [[User:Myudelson | Michael V. Yudelson]]
 * [[User:Sergey | Sergey Sosnovsky]]

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 Two main groups of [[ADAPT2|ADAPT<sup>2</sup>]] protocols are
 * [[Content Invocation protocols]], which enable a portal or an adaptive shell to call interactive learning objects residing on various content servers
-* [[User Modeling protocols|CUMULATE protocol]] for reporting user activities and requesting the current state of their knowledge from user-modeling servers.
+* [[CUMULATE protocol|User Modeling protocols]] for reporting user activities and requesting the current state of their knowledge from user-modeling servers.
 == PERSEUS ==

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 * [[PERSEUS]] - personalization service engine
-To provide personalized service to its end users, these components communicate with each other using several standard communication protocols. Two main groups of protocols are [[Content Invocation protocols]], which enable a portal or an adaptive shell to call interactive learning objects residing on various content servers, and [[User Modeling protocols|CUMULATE protocol] for reporting user activities and requesting current state of their knowledge from user-modeling servers.
+To provide personalized service to its end users, these components communicate with each other using several standard communication protocols. Two main groups of protocols are [[Content Invocation protocols]], which enable a portal or an adaptive shell to call interactive learning objects residing on various content servers, and [[CUMULATE protocol|User Modeling protocols]] for reporting user activities and requesting current state of their knowledge from user-modeling servers.
 A typical personalized learning system supported by [[ADAPT2|ADAPT<sup>2</sup>]] works in the following way:

← Older revision		Revision as of 23:41, 20 January 2025
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	* For the use in [[MasteryGrids]] interface only, a learning content server has to implement [https://en.wikipedia.org/wiki/Learning_Tools_Interoperability LTI protocol] for launching learning activities and reporting learner progress. Examples of LTI-compatible learning content that are currently used in courses supported by [[ADAPT2\|ADAPT<sup>2</sup>]] are [https://codeworkout.cs.vt.edu/ CodeWorkout] (Virginia Tech) and [https://dl.acm.org/doi/abs/10.1145/3125659.3125688 DBQA] (University of St. Thomas).		* For the use in [[MasteryGrids]] interface only, a learning content server has to implement [https://en.wikipedia.org/wiki/Learning_Tools_Interoperability LTI protocol] for launching learning activities and reporting learner progress. Examples of LTI-compatible learning content that are currently used in courses supported by [[ADAPT2\|ADAPT<sup>2</sup>]] are [https://codeworkout.cs.vt.edu/ CodeWorkout] (Virginia Tech) and [https://dl.acm.org/doi/abs/10.1145/3125659.3125688 DBQA] (University of St. Thomas).
		+
		+	== ADAPT2 Protocols ==
		+
		+	Communication protocols enable multiple components of [[ADAPT2\|ADAPT<sup>2</sup>]] to work together in a coordinated way. A new component could be easily integrated into the infrastructure as long as it communicates with other components using these standardized protocols.
		+	Two main groups of [[ADAPT2\|ADAPT<sup>2</sup>]] protocols are
		+	* [[Content Invocation protocols]], which enable a portal or an adaptive shell to call interactive learning objects residing on various content servers
		+	* [[User Modeling protocols\|CUMULATE protocol]] for reporting user activities and requesting the current state of their knowledge from user-modeling servers.

	== PERSEUS ==		== PERSEUS ==

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 * Brusilovsky, P., Sosnovsky, S., and Yudelson, M. (2004) Adaptive Hypermedia Services for E-Learning. In:  Proceedings of Workshop on Applying Adaptive Hypermedia Techniques to Service Oriented Environments at the Third International Conference on Adaptive Hypermedia and Adaptive Web-Based Systems (AH'2004), Eindhoven, the Netherlands, August 23, 2004, Technische University Eindhoven, pp. 470-479.
-Over the years, the infrastructure has been expanded with support of several projects such as [[Personalized Access to Open Corpus Educational Resources through Adaptive Navigation Support and Adaptive Visualization]] and [[Adaptive Navigation Support and Open Social Learner Modeling for PAL]]. We developed several adaptive shells to explore a range of personalization approaches and collaborated with many research teams to offer a broad set of interactive learning objects for computer science education. Currently, we are integrating [[ADAPT2|ADAPT<sup>2</sup>]] into a larger community-oriented infrastructure that we develop with a team of collaborators supported by
+Over the years, the infrastructure has been expanded with support of several projects such as [[Personalized Access to Open Corpus Educational Resources through Adaptive Navigation Support and Adaptive Visualization]] and [[Adaptive Navigation Support and Open Social Learner Modeling for PAL]]. We developed several adaptive shells to explore a range of personalization approaches and collaborated with many research teams to offer a broad set of interactive learning objects for computer science education. Currently, we are integrating [[ADAPT2|ADAPT<sup>2</sup>]] into a larger community-oriented infrastructure that is being developed by NSF-supported Infrastructure project [[Community-Building and Infrastructure Design for Data-Intensive Research in Computer Science Education]].
 == Knowledge Tree ==

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 A typical personalized learning system supported by [[ADAPT2|ADAPT<sup>2</sup>]] works in the following way:
-* Students log in through a portal, such as [[Knowledge Tree]], which determines which courses (learning groups) they can access and choose one of these courses.
+* Students log in through a portal, such as [[Knowledge Tree]] or a regular learning management system, which determines which courses (learning groups) they can access. To start learning, students choose one of these courses.
 * A selected course provides access to one or more adaptive shells, such as [[MasteryGrids]]. Each of these shells provides personalized access to multiple kinds of learning content made accessible for the course. The selected course also determines which student modeling server will be used for personalization.
 * Using the current state of the user models, which the adaptive shell requests from the user-modeling server, the shell helps each student find and launch an interactive learning object that is most appropriate for the current state of their knowledge.
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 * After completing their work with each learning object, the students return to the adaptive shell, which now uses the updated state of the user model to assist the learners with selecting the next knowledge- and context-appropriate learning object.
-The personalized learning process supported by [[ADAPT2|ADAPT<sup>2</sup>]] is quite typical for personalized learning.
+The personalized learning process supported by [[ADAPT2|ADAPT<sup>2</sup>]] is quite typical for personalized learning. The difference made by [[ADAPT2|ADAPT<sup>2</sup>]] is the ability to integrate components developed by multiple research teams. A research team exploring specific kind of learning objects could release them in a new content server and re-use other components (portals, user-modeling servers, adaptive shells) to explore these objects in a realistic context along with other types of objects. A team that explores new approaches for user modeling or personalization could develop new types of user-modeling servers and adaptive shells and reuse components developed by other teams. [[ADAPT2|ADAPT<sup>2</sup>]] promotes collaboration and enables each team to focus on the type of learning technology that they want to explore.
 == Knowledge Tree ==

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 [[Image:adapt2-arcitecture.gif|thumb|'''100'''|ADAPT<sup>2</sup> Architecture]]
-[[ADAPT2|ADAPT<sup>2</sup>]] (read adapt-square) - Advanced Distributed Architecture for Personalized Teaching and Training - is a framework targeted at providing personalization and adaptation services for developers of content that lacks personalization.
+[[ADAPT2|ADAPT<sup>2</sup>]] (read adapt-square) - Advanced Distributed Architecture for Personalized Teaching and Training - is a framework for research on personalized and adaptive learning, which brings together researchers exploring novel types of interactive learning content with researchers exploring various kinds of personalization approaches. As a part of its mission, [[ADAPT2|ADAPT<sup>2</sup>]] currently provides personalized learning systems to support large classes for several computer science education topics such as Java, Python, and SQL. It has been used in many universities on four continents.
-[[ADAPT2|ADAPT<sup>2</sup>]] consists of the following principal components.
+[[ADAPT2|ADAPT<sup>2</sup>]] consists of the following principal component types.
-* [[Knowledge Tree]] - portal
+* Portals, such as [[Knowledge Tree]], which provide a single sign-on point for users of personalized learning systems
-* [[CUMULATE]] - user-modeling server
+* User-modeling servers such as[[CUMULATE]], which maintain knowledge models of individual students
-* Content Servers
+* Content Servers, which provide access to various kinds of interactive learning objects
-* Adaptive Shells, AKA Value-added services
+* Adaptive Shells, which offer various kinds of personalized access to learning objects
 * [[PERSEUS]] - personalization service engine
 == Knowledge Tree ==

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 * For unrestricted use, learning content server has to implement with [[ADAPT2|ADAPT<sup>2</sup>]] content invocation protocol and CUMULATE knowledge reporting protocols. Examples of of content servers that implement these protocols are [http://ictg.cosc.canterbury.ac.nz:8000/ SQL Tutor] (University of Canterbury, New Zealand), [https://mcs.utm.utoronto.ca/~pcrs/pcrs/ PCRS] (University of Toronto), and [[ACOS server]] (Aalto University).
-* For the use in [[MasteryGrids]] interface only, a learning content server has to implement [[LTI protocol]] for launching learning activities and reporting learner progress. Examples of LTI-compatible learning content that are currently used in courses supported by [[ADAPT2|ADAPT<sup>2</sup>]] are [https://codeworkout.cs.vt.edu/ CodeWorkout] (Virginia Tech) and [https://dl.acm.org/doi/abs/10.1145/3125659.3125688 DBQA]] (University of St. Thomas).
+* For the use in [[MasteryGrids]] interface only, a learning content server has to implement [https://en.wikipedia.org/wiki/Learning_Tools_Interoperability LTI protocol] for launching learning activities and reporting learner progress. Examples of LTI-compatible learning content that are currently used in courses supported by [[ADAPT2|ADAPT<sup>2</sup>]] are [https://codeworkout.cs.vt.edu/ CodeWorkout] (Virginia Tech) and [https://dl.acm.org/doi/abs/10.1145/3125659.3125688 DBQA] (University of St. Thomas).
 == PERSEUS ==