DOI

The paper concerns the problem of visual support of decision-making in intelligent tutoring systems and generating natural-language explanations of these decisions. A model of interpreting a learning situation and decision making about further learning on operational, tactical, and strategic levels considered from topic, competency, and learning-goal points of view. We show a case study of learning-situation visualization of analysis and synthesis of explanatory feedback for making operational, tactical, and strategic decisions. The method was evaluated with 3 groups of graduate students; the groups that received simplified Cognitive Maps of Knowledge Diagnosis along with textual explanations demonstrated higher trust in the system’s decisions and were more likely to follow the recommendations. We conclude with recommendations for using cognitive maps of knowledge diagnosis for cross-cutting analysis of learning situations.

Язык оригиналаанглийский
Название основной публикацииIntelligent Tutoring Systems - 18th International Conference, ITS 2022, Proceedings
РедакторыScott Crossley, Elvira Popescu
ИздательSpringer Nature
Страницы51-64
Число страниц14
ISBN (печатное издание)9783031096792
DOI
СостояниеОпубликовано - 2022
Событие18th International Conference on Intelligent Tutoring Systems, ITS 2022 - Virtual, Online
Продолжительность: 29 июн 20221 июл 2022

Серия публикаций

НазваниеLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Том13284 LNCS
ISSN (печатное издание)0302-9743
ISSN (электронное издание)1611-3349

конференция

конференция18th International Conference on Intelligent Tutoring Systems, ITS 2022
ГородVirtual, Online
Период29/06/221/07/22

    Предметные области Scopus

  • Теоретические компьютерные науки
  • Компьютерные науки (все)

ID: 98159477