Abstract. In this paper, we will examine how a model-based tutor can automatically generate demand feedback. We will propose a two-stage feedback generation algorithm that maintains the principle of modu-larity characteristic of model-based representation, while automatically generating detailed demand feedback. We will evaluate model-based pro-gramming tutors to demonstrate that the feedback generated using this algorithm is coherent and effective at improving learning.
Abstract. One aim of the Generalized Intelligent Framework for Tutoring (GIFT) is to reduce the time...
Feedback may be an effective interaction provided by the intelligent tutoring system. Nevertheless, ...
Every year, millions of students learn how to write programs. Learning activities for beginners almo...
More and more people take up learning how to program: in schools and universities, in large open onl...
Intelligent tutors have been shown to be as e↵ective as hu-man tutors in supporting learning in many...
Researchers and educators have been developing tutors to help students learn by solving problems. Th...
The advent of second-generation intelligent computer tutors raises an important instructional design...
Abstract: Designing an Intelligent Tutoring System (ITS) usually requires precise models of the unde...
Most existing Intelligent Tutoring Systems (ITSs) are built around cognitive learning theories, such...
The advent of second-generation intelligent computer tutors raises an important instructional design...
Tutoring technologies for supporting learning from errors via negative feedback are highly developed...
Providing feedback on programming assignments manually is a tedious, error prone, and time-consuming...
Across many domains, Intelligent Tutoring Systems (ITSs) are used to facilitate practice, providing ...
Gross S, Mokbel B, Hammer B, Pinkwart N. Learning Feedback in Intelligent Tutoring Systems. KI - Kün...
Modelling human tutors' socio-linguistic abilities computationally is necessary to underpin human-co...
Abstract. One aim of the Generalized Intelligent Framework for Tutoring (GIFT) is to reduce the time...
Feedback may be an effective interaction provided by the intelligent tutoring system. Nevertheless, ...
Every year, millions of students learn how to write programs. Learning activities for beginners almo...
More and more people take up learning how to program: in schools and universities, in large open onl...
Intelligent tutors have been shown to be as e↵ective as hu-man tutors in supporting learning in many...
Researchers and educators have been developing tutors to help students learn by solving problems. Th...
The advent of second-generation intelligent computer tutors raises an important instructional design...
Abstract: Designing an Intelligent Tutoring System (ITS) usually requires precise models of the unde...
Most existing Intelligent Tutoring Systems (ITSs) are built around cognitive learning theories, such...
The advent of second-generation intelligent computer tutors raises an important instructional design...
Tutoring technologies for supporting learning from errors via negative feedback are highly developed...
Providing feedback on programming assignments manually is a tedious, error prone, and time-consuming...
Across many domains, Intelligent Tutoring Systems (ITSs) are used to facilitate practice, providing ...
Gross S, Mokbel B, Hammer B, Pinkwart N. Learning Feedback in Intelligent Tutoring Systems. KI - Kün...
Modelling human tutors' socio-linguistic abilities computationally is necessary to underpin human-co...
Abstract. One aim of the Generalized Intelligent Framework for Tutoring (GIFT) is to reduce the time...
Feedback may be an effective interaction provided by the intelligent tutoring system. Nevertheless, ...
Every year, millions of students learn how to write programs. Learning activities for beginners almo...