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Eman AbuKhousa, Mohamed Sami El-Tahawy and Yacine Atif
Th metaverse presents a new opportunity to construct personalized learning paths and to promote practices that scale the development of future skills and collective intelligence. The attitudes, knowledge and skills that are necessary to face the challeng...
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Galina Ilieva, Tania Yankova, Stanislava Klisarova-Belcheva, Angel Dimitrov, Marin Bratkov and Delian Angelov
Learning technologies often do not meet the university requirements for learner engagement via interactivity and real-time feedback. In addition to the challenge of providing personalized learning experiences for students, these technologies can increase...
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Karpin Karpin,Ai Mahmudatussa'adah
Pág. 32 - 40
The research objective was to improve the students' competency mastery which is the demand for lectures; building student learner autonomy; describes the stages of learning reflection to build learner autonomy. Quasi-experimental research is used to achi...
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Akrivi Krouska, Christos Troussas and Cleo Sgouropoulou
This paper presents a novel cognitive diagnostic module which is incorporated in e-learning software for the tutoring of the markup language HTML. The system is responsible for detecting the learners? cognitive bugs and delivering personalized guidance. ...
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Wenzel Pilar von Pilchau, Anthony Stein and Jörg Hähner
State-of-the-art Deep Reinforcement Learning Algorithms such as DQN and DDPG use the concept of a replay buffer called Experience Replay. The default usage contains only the experiences that have been gathered over the runtime. We propose a method called...
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Shixun Wang and Qiang Chen
Boosting of the ensemble learning model has made great progress, but most of the methods are Boosting the single mode. For this reason, based on the simple multiclass enhancement framework that uses local similarity as a weak learner, it is extended to m...
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Arvind Kumar Gangwar, Sandeep Kumar and Alok Mishra
The early and accurate prediction of defects helps in testing software and therefore leads to an overall higher-quality product. Due to drift in software defect data, prediction model performances may degrade over time. Very few earlier works have invest...
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David Pérez-Jorge,María del Carmen Rodríguez-Jiménez,Nuria Marrero-Rodríguez,Sergio Pastor-Llarena,María Dolores Mateos Peñas
Pág. pp. 212 - 229
We present the results which arise from the development of the Virtual Teachers? Toolbox (VTT-Box) project. The main aim of the project was to develop a virtual web-based service for teachers (toolbox) to support them best with a sophisticated tool to us...
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Eeva Liisa Nygren,Teemu H. Laine,Erkki Sutinen
Pág. pp. 120 - 141
Understanding engagement in games provides great opportunities for developing motivating educational games. However, even good games may induce disturbances on the learner. Therefore, we go further than presenting only results and discussion related to t...
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Palmo Thinley,Shlomo Geva,James Reye
Pág. pp. 16 - 20
With the proliferation of mobile devices, educational institutions have experimented with various mobile devices to implement mobile learning (M-Learning). Mobile devices have been used to facilitate, support, and enhance and extend the reach of teaching...
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