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Titlebook: Intelligent Tutoring Systems; 14th International C Roger Nkambou,Roger Azevedo,Julita Vassileva Conference proceedings 2018 Springer Intern

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21#
發(fā)表于 2025-3-25 05:33:41 | 只看該作者
Evaluating Adaptive Pedagogical Agents’ Prompting Strategies Effect on Students’ Emotions a risk of it feeling counterproductive. In this paper, we examine the impact of different prompting strategies on self-reported agent-directed emotions in an ITS that scaffolds students’ use of self-regulated learning (SRL) strategies, taking into account students’ prior knowledge. Results indicate
22#
發(fā)表于 2025-3-25 09:54:19 | 只看該作者
Investigating the Role of Goal Orientation: Metacognitive and Cognitive Strategy Use and Learning wi and problem solving. Currently, ITSs are designed to foster cognitive, affective, and metacognitive (CAM) strategies and processes, presenting major gaps in the research since motivation is a key component of SRL and influences the remaining CAM processes. In our study, students interacted with Met
23#
發(fā)表于 2025-3-25 12:25:07 | 只看該作者
24#
發(fā)表于 2025-3-25 18:37:05 | 只看該作者
25#
發(fā)表于 2025-3-25 23:33:07 | 只看該作者
26#
發(fā)表于 2025-3-26 03:43:51 | 只看該作者
27#
發(fā)表于 2025-3-26 05:17:01 | 只看該作者
The Impact of Multiple Real-Time Scaffolding Experiences on Science Inquiry Practicesre students’ science inquiry practices. Some assessment environments not only evaluate students’ inquiry practice competencies, but also provide real-time scaffolding in order to help students learn. The present study aims to examine the impact of real-time scaffolding from an animated, pedagogical
28#
發(fā)表于 2025-3-26 10:42:50 | 只看該作者
29#
發(fā)表于 2025-3-26 15:41:50 | 只看該作者
Empirical Investigation of Cognitive Load Theory in Problem Solving Domain the preceding findings are examined in problem solving domain with a different type of experimental task such as Reversi game. The experimental results were consistent with preceding studies, showing that extraneous cognitive load is harmful to the learning process, but the effects of intrinsic loa
30#
發(fā)表于 2025-3-26 17:59:13 | 只看該作者
Data-Driven Learner Profiling Based on Clustering Student Behaviors: Learning Consistency, Pace and for instructors to do manually in large classes. One approach to addressing this challenge is to identify groups of students who would benefit from the same intervention. As such, this work attempts to identify groups of students with similar academic and behavior characteristics who can benefit fro
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