Proceedings Of The 11th Annual Generalized Intelligent Framework For Tutoring Gift Users Symposium Giftsym11


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Proceedings of the 11th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym11)


Proceedings of the 11th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym11)

Author: Benjamin Goldberg

language: en

Publisher: U.S. Army Combat Capabilities Development Command – Soldier Center

Release Date: 2023-07-01


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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!

Proceedings of the 12th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym12)


Proceedings of the 12th Annual Generalized Intelligent Framework for Tutoring (GIFT) Users Symposium (GIFTSym12)

Author: Benjamin Goldberg

language: en

Publisher: U.S. Army Combat Capabilities Development Command – Soldier Center

Release Date: 2024-08-16


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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!

Adaptive Instructional Systems


Adaptive Instructional Systems

Author: Robert A. Sottilare

language: en

Publisher: Springer Nature

Release Date: 2024-05-31


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This book constitutes the refereed proceedings of 6th International Conference on Adaptive Instructional Systems, AIS 2024, held as part of the 26th International Conference, HCI International 2024, which took place in Washington, DC, USA, during June 29-July 4, 2024. The total of 1271 papers and 309 posters included in the HCII 2024 proceedings was carefully reviewed and selected from 5108 submissions. The HCII-AIS 2024 contributions have been organized in the following topical sections: Designing and developing adaptive instructional systems; adaptive learning experiences; AI in adaptive learning.