Proceedings Of The 11th Annual Generalized Intelligent Framework For Tutoring Gift Users Symposium Giftsym11
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Author | : Benjamin Goldberg |
Publisher | : U.S. Army Combat Capabilities Development Command – Soldier Center |
Total Pages | : 178 |
Release | : 2023-07-01 |
Genre | : Computers |
ISBN | : 0997725842 |
Welcome to the Proceedings of the 11th Annual GIFT User Symposium! This year we are celebrating 11 years of GIFT Symposiums and have accepted 15 papers for publication. All of the presentations that occurred at GIFTSym11, and the papers in this volume show the versatility of the Generalized Intelligent Framework for Tutoring (GIFT), and the work that is being done with GIFT. GIFT is an open-source intelligent tutoring system (ITS) architecture that is freely available online at GIFTtutoring.org. There are both Cloud and Downloadable version of GIFT. GIFT has been developed with multiple goals in mind including supporting ITS research, and simplified creation of ITSs and Adaptive Instructional Systems (AISs). Our fantastic team, and our program committee did a great job supporting the development of GIFTSym11, reviewing papers, and assisting with the facilitation of the event this year. We want to recognize them for their efforts: • Benjamin Goldberg • Gregory Goodwin • Michele Myers • Alexandra Lutz • Randall Spain • Lisa N. Townsend We were very pleased to have GIFTSym11 return to being an in-person event this year! Additionally, this was our first year offering a hybrid option for attendees. We are very happy that both modalities were well attended!
Author | : Benjamin Goldberg |
Publisher | : U.S. Army Combat Capabilities Development Command – Soldier Center |
Total Pages | : 150 |
Release | : 2024-08-16 |
Genre | : Computers |
ISBN | : 0997725869 |
Welcome to the Proceedings of the 12th Annual GIFT User Symposium! This year we are celebrating 12 years of GIFT Symposiums and have accepted 12 papers for publication. All of the presentations and the papers in this volume show the versatility of the Generalized Intelligent Framework for Tutoring (GIFT), and the work that is being done with GIFT. GIFT is an open-source intelligent tutoring system (ITS) architecture that is freely available online at GIFTtutoring.org. There are both Cloud and Downloadable version of GIFT. GIFT has been developed with multiple goals in mind including supporting ITS research, and simplified creation of ITSs and Adaptive Instructional Systems (AISs). Our fantastic team, and our program committee did a great job supporting the development of GIFTSym12, reviewing papers, and assisting with the facilitation of the event this year. We want to recognize them for their efforts: • Benjamin Goldberg • Gregory Goodwin • Anne Sinatra • Michele Myers • Alexandra Lutz • Randall Spain • Lisa N. Townsend We were very pleased to have GIFTSym11 return to being an in-person event this year! Additionally, this was our first year offering a hybrid option for attendees. We are very happy that both modalities were well attended!
Author | : Robert A. Sottilare |
Publisher | : Springer Nature |
Total Pages | : 368 |
Release | : |
Genre | : |
ISBN | : 3031606094 |
Author | : Robert Sottilare |
Publisher | : Robert Sottilare |
Total Pages | : 276 |
Release | : 2017-07-17 |
Genre | : Education |
ISBN | : 0997725710 |
This is the fifth year we have been able to capture the research and development efforts related to the Generalized Intelligent Framework for Tutoring (GIFT) community which at the writing of these proceedings has well over 1000 users in over 65 countries. We are proud of what we have been able to accomplish with the help of our user community. These proceedings are intended to document the evolutions of GIFT as a tool for the authoring of intelligent tutoring systems (ITSs) and the evaluation of adaptive instructional tools and methods.
Author | : Anne Sinatra |
Publisher | : U.S. Army Combat Capabilities Development Command – Soldier Center |
Total Pages | : 172 |
Release | : 2022-05-27 |
Genre | : Computers |
ISBN | : 0997725826 |
The attached proceedings resulted from papers accepted for the 10th Annual GIFT Users Symposium held virtually on 24-25 May 2022. The first GIFT Users Symposium was held in 2013 with the goal to capture successful implementations of GIFT from the user community and to share recommendations leading to more useful capabilities for authors, researchers, and learners of Adaptive Instructional Systems (AISs). We are proud to publish our 10th edition of the proceedings, which provides an excellent collection of contributions covering all aspects of (AIS), with special attention towards future training and education concepts centered around competency-based learning, multi-modal methods, collaboration and team dynamics.
Author | : Robert A. Sottilare, Ph.D. |
Publisher | : US Army Research Laboratory |
Total Pages | : 334 |
Release | : 2018-05-30 |
Genre | : |
ISBN | : 0997725753 |
GIFT is a free, modular, open-source tutoring architecture that is being developed to capture best tutoring practices and support rapid authoring, reuse and interoperability of Intelligent Tutoring Systems (ITSs). The authoring tools have been designed to lower costs and entry skills needed to author ITSs and our research continues to seek and discover ways to enhance the adaptiveness of ITSs to support self-regulated learning (SRL). This year marks the sixth year of GIFT Symposia and we accepted 30 papers for publication in this year’s proceedings.
Author | : Benjamin S. Goldberg |
Publisher | : U.S. Army Combat Capabilities Development Command – Soldier Center |
Total Pages | : 169 |
Release | : 2019-05-17 |
Genre | : Computers |
ISBN | : 0997725761 |
These proceedings are intended to document the evolutions of GIFT as a tool for the authoring of intelligent tutoring systems (ITSs) and the evaluation of adaptive instructional tools and methods. Papers in this volume were selected with the following goals in mind: (1) The candidate papers describe tools and methods that raise the level of knowledge and/or capability in the ITS research and development community (2) The candidate papers describe research, features, or practical applications of GIFT (3) The candidate papers expand ITSs into previously untapped domains (4) The candidate papers build/expand models of automated instruction for individuals and/or teams