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Titlebook: Intelligent Tutoring Systems; 18th International C Scott Crossley,Elvira Popescu Conference proceedings 2022 The Editor(s) (if applicable)

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51#
發(fā)表于 2025-3-30 11:07:27 | 只看該作者
Evaluating the Effect of Imperfect Data in Voice Emotion Recognitiontilize the emotions in the speech for serving humans’ needs more efficiently. Regarding the classification nature of a voice emotion recognition system, using machine learning algorithms is a practical solution. One important step in designing a machine learning classifier is to choose the appropria
52#
發(fā)表于 2025-3-30 15:42:46 | 只看該作者
DeepCode: An Annotated Set of Instructional Code Examples to Foster Deep Code Comprehension and Leares with explanations and code visualizations. We present here the underlying principles, theories, and frameworks behind our design process, the annotation guidelines, and summarize the resulting codeset of 98 annotated Java code examples which include 7,157 lines of code (including comments), 260 l
53#
發(fā)表于 2025-3-30 17:05:29 | 只看該作者
54#
發(fā)表于 2025-3-30 23:03:57 | 只看該作者
A Learning Analytics Approach to Build Learner Profiles Within the Educational Game OMEGA+educational game OMEGA+. The approach is rather generic and can be easily adapted to other educational games. By using the proposed learning analytics approach, clusters of learners are built that provide insights into how learners use the game, how they play and how they learn. In addition, when co
55#
發(fā)表于 2025-3-31 04:14:10 | 只看該作者
Design and Evaluation of a Competency-Based Recommendation Processom the set of possible items were relevant according to the experts; (ii) our system provided recommendations in a reasonable time; (iii) the recommendations were consulted by the learners but lacked usability.
56#
發(fā)表于 2025-3-31 07:49:17 | 只看該作者
A Classification Approach to Recognize On-Task Student’s Behavior for Context Aware Recommendations first step is to categorize the on-task student’s behaviour. This paper focuses on this problem and proposes a model, provided by educational sciences, on which the recognition process could be based.
57#
發(fā)表于 2025-3-31 09:48:25 | 只看該作者
Automated Classification of Argumentative Components in Students’ Essays and syntactic dependency features played the most critical roles. The algorithm can help inform the development of AWE algorithms to drive feedback on argumentative essays and help developing writers improve their argumentation.
58#
發(fā)表于 2025-3-31 14:27:45 | 只看該作者
59#
發(fā)表于 2025-3-31 19:10:57 | 只看該作者
60#
發(fā)表于 2025-3-31 23:10:50 | 只看該作者
Vasile Rus,Peter Brusilovsky,Lasang Jimba Tamang,Kamil Akhuseyinoglu,Scott Fleming, bedarf es jedoch einer schnellen, gezielten und verst?ndlichen Bereitstellung der gesuchten Information – des Wissens – zur richtigen Zeit, am richtigen Ort und in der richtigen Qualit?t. Diese Bereitstellung ist der Erfolgsfaktor, an dem sich heutige technische Informations- und Kommunikationssys
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