...Intelligent tutoring systems (ITSs) may augment military training systems and mitigate existing limitations in training ...

...Multi-Armed Bandits for Intelligent Tutoring Systems arXiv:1310.3174v2 [cs.AI] 19 Jun 2015 Benjamin Clement, Didier Roy, Pierre-Yves Oudeyer... manuel.lopes@inria.fr http://flowers.inria.fr Inria, Bordeaux, France We present an approach to Intelligent Tutoring Systems which adaptively personalizes sequences of learning activities to maximize skills acquired ...udents, followed by results of a user study across a population of 400 school children. Keywords: intelligent tutoring systems, multi-armed bandits, personalization, intrinsic motivation, active teaching, active learni...

...Annabi and Nguyen. Prerequisite structure discovery for an intelligent tutoring system based on intrinsic motivation. IEEE ICDL. 2023. https://doi.org/10.1109/ICDL55364.2023.10364...416 Prerequisite Structure Discovery In Intelligent Tutoring Systems Louis Annabi 1 and Sao Mai Nguyen 2 Abstract--This paper addresses the importance of K...ctivities a learner is unable to do by herself but can do recommendation of educational content in intelligent tutoring with some assistance. Because learning is most effective in systems. The KS represents the relati...

...Annabi and Nguyen. Prerequisite structure discovery for an intelligent tutoring system based on intrinsic motivation. IEEE ICDL. 2023. https://doi.org/10.1109/ICDL55364.2023.10364...416 tutoring model exploiting the discovered graphs, and KT-based ...tutoring models. We use an adaptation of the ZPDES algorithm [5] to recommend exercises based on the discove...

...Annabi and Nguyen. Prerequisite structure discovery for an intelligent tutoring system based on intrinsic motivation. IEEE ICDL. 2023. https://doi.org/10.1109/ICDL55364.2023.10364...ther with the other parameters of a KT model. We design the KT model so that the learnable graph B. Tutoring model explicitly corresponds to prerequisite relations, which allows The ...tutoring model we present is an adaptation of the us to outperform other KS discovery methods. ZPDES algorit...

...Articles Recent Advances in Conversational Intelligent Tutoring Systems Vasile Rus, Sidney D'Mello, Xiangen Hu, Arthur C. Graesser We report recent advances in ...intelligent tutoring systems with conversational most effective solution to instruction and learning has dialogue. We ... progress T attracted the attention of many for decades. Encouraged he vision of one-on-one human tutoring being the in terms of macro-and microadaptivity. by the effectiveness of one-on-one human ...

...ising approach to increasing content and when novice students are given novice the effectiveness of tutoring systems beyond the content, then ...tutoring is no better than canned text interaction plateau (VanLehn et al. 2007, VanLehn remediation. The tr...ue impact of conversational tutoring 2011). on learning is still not settled empirically. The conventional wisdom of the last decade has...

...cture of the dialogue in both Auto-affect-sensitive components while the student is Tutor and human tutoring follows an expectation working on a task. and misconception tailored (EMT) dialogue. EMT The three ...s that largely determines the content the feedback mechanisms. Advances in these core and flow of a tutoring session. AutoTutor promotes ...tutoring tasks will move state-of-the-art ITSs closer to active construction of knowledge by providing expla...

...012 AIIDE Joint Workshop AAAI Technical Report WS-12-17 A Review of Student Modeling Techniques in Intelligent Tutoring Systems Brent Harrison and David L. Roberts North Carolina State University Raleigh, North Caroli...na 27606 Abstract Knowledge Knowledge Knowledge In this paper, we survey techniques used in intelligent tutoring at T 1 at T 2 at T 3 systems (ITSs) to model student knowledge. The three techniques that...bett and Anderson 1994) used a simple dynamic Bayesian network Similar issues arise when looking at intelligent tutoring (DBN). An example of a DBN can be seen in Figure 1. A systems (ITSs). An ITS must maintain a model ...

...timal rules that do not transfer from by examining that student's future performance. They then the tutoring system to the test. Corbett and Bhatnagar account construct models through machine learning that wi...

...ents: Papers from the AAAI Fall Symposium (FS-10-07) Scalable POMDPs for Diagnosis and Planning in Intelligent Tutoring Systems Jeremiah T. Folsom-Kovarik 1 , Gita Sukthankar 2 , Sae Schatz 1 , and Denise N...a for proactive assistant agents choosing effective feedback or other interventions. is automated tutoring and training. ...Intelligent tutoring systems (ITSs) assist tutors and tutees by automating diagnosis Several sources of uncertainty com...

... as workload, interruptibility, Key Problem Characteristics personality, or demographics. Often, tutoring problems have four characteristics that can POMDP Actions be exploited to compress their POMDP re...which describes the difficulty of chance to correct each gap j with base probability a ij . The tutoring one concept before another. The probability that interventions available to the ITS determine the v... (a ij Π k j (1-d jk )). For simplicity, no actions in M introduce new gaps. Second, in tutoring problems each action often affects a The tutee's cognitive state may further increase or decrease s...

... Y, Y'}. Whenever one State Queuing of the original elements would have been observed, a chain In tutoring problems, a partial ordering over K exists and of two equivalent components is observed instead. ca...m size on the experimental representation loss lower in the precedence order. And the highly during tutoring. Lossless POMDPs were created that used informative observations that are possible in the ITS domai...

...Intelligent Tutoring Systems by Bayesian Nets with Noisy Gates * Alessandro Antonucci, Francesca Mangili, Claudio Bone...n nets are often might be ineffective in describing skill correlations and more used to implement intelligent tutoring systems able expressive probabilistic formalisms might be needed instead. to interact in real-tim...vice versa. As a consequence, each question receives tables in the underlying Bayesian net used by tutoring incoming arcs from the skills that are relevant to answer the systems. We discuss the semantics o...

...Toward XAI for Intelligent Tutoring Systems: A Case Study Vanessa Putnam Department of Computer Science University of British Colum...arch is a step toward understanding when explanations of AIdriven hints and feedback are useful in Intelligent Tutoring Systems (ITS). We added an explanation functionality for the adaptive hints provided by the Adapt...omputing User Studies; Laboratory experiment KEYWORDS Explainable Artificial Intelligence (XAI); Intelligent Tutoring Systems (ITS); User Modeling ACM Reference format: FirstName Surname, FirstName Surname and Firs...

...0] on explanations in recommender systems, and of perceived user expertise for explanations of an intelligent assistant [34] . Our results contribute to this line of research by looking at explanations for a ...different type of intelligent system (an ITS), and showing the impact of a measure of Curiosity and of the Agreeableness persona... future work. 2 Related Work There are encouraging results on the helpfulness of explanations in intelligent user interfaces. For example, Kulesza et al. [22] investigated explaining the predictions of an ag...

...Explainable AI for Intelligent Tutoring Systems: A Case Study AC-3 algorithm dynamics through interactive visualizations on graphs using ...

...da Artificial Intelligence Research Society Conference Automated Scenario Adaptation in Support of Intelligent Tutoring Systems James Niehaus Boyang Li and Mark O. Riedl Charles River Analytics, Inc. School of Inter...enarios changes from real world learning needs. Scenario adaptation acts as problem generation for intelligent tutoring systems, are correlated with narrative; both "narrative" and producing greater learning opportuni...uct new scenarios. Introduction Although some examples authoring tools have improved authoring of tutoring systems in non-scenario-based Research shows that expertise is gained through experience domains (e...

...nario Adaptation is a process by which an performs an action that threatens the causal coherence of intelligent computational system takes a manually authored the remainder of the scenario. The system ensures th...cenario Adaptation is complimentary to reactive approach, using an ITS to select the next "teaching intelligent tutoring systems that can identify new training moment" and then employing a planner to generate needs and g... instruction has manipulate the global structure of learning content, been explored in the realm of Intelligent Tutoring Systems potentially achieving more optimal scenario content. (ITS) (Koedinger et al. 1997). ITSs em...

...shown in Figure 2. partial ordering over events. Events unordered with The cycle from simulation to intelligent tutor to scenario respect to each other may happen concurrently in the adaptation enables a single ...