![]() Botev, Jean ![]() in Proceedings of the 17th GI VR/AR Workshop (VAR) (2020, September) Detailed reference viewed: 117 (8 UL)![]() Botev, Jean ![]() in Proceedings of the 1st IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS) (2020, August) Detailed reference viewed: 77 (2 UL)![]() Botev, Jean ![]() in Proceedings of the 22nd International Conference on Human-Computer Interaction (HCI International) (2020, July) Detailed reference viewed: 69 (10 UL)![]() ; ; et al Report (2020) Detailed reference viewed: 59 (1 UL)![]() Botev, Jean ![]() in ARCS 2019 Workshop Proceedings (2019) Detailed reference viewed: 25 (5 UL)![]() ; ; Botev, Jean ![]() in Proceedings of the 13th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO) (2019) Detailed reference viewed: 73 (1 UL)![]() Botev, Jean ![]() Presentation (2019) Detailed reference viewed: 19 (8 UL)![]() Botev, Jean ![]() ![]() in Proceedings of the 10th ACM Multimedia Systems Conference (MMSys) (2019) Detailed reference viewed: 106 (24 UL)![]() Grevisse, Christian ![]() ![]() ![]() in 2018 Thirteenth International Conference on Digital Information Management (ICDIM) (2018, September) Document collections in e-learning can cause issues to both learners and teachers. On one hand, inquiry from the vast corpus of available resources is non-trivial without adequate formulation support and ... [more ▼] Document collections in e-learning can cause issues to both learners and teachers. On one hand, inquiry from the vast corpus of available resources is non-trivial without adequate formulation support and semantic information. Implicit links between documents are hardly understood without a proper visualization. On the other hand, it is difficult for teachers to keep track of the topics covered by a large collection. In this paper, we present an ontology coverage tool and document browser for learning material exploration. Both learners and teachers can benefit from a visualization of an ontology and the documents related to the comprised concepts, overcoming the limitations of traditional file explorers. Guiding users through a visual query process, learners can quickly pinpoint relevant learning material. The visualization, which has been implemented as a web application using the D3.js JavaScript library, can be integrated into different e-learning applications to further enhance the workflow of learners. Finally, teachers are provided an overview of topic coverage within the collection. [less ▲] Detailed reference viewed: 160 (21 UL)![]() Botev, Jean ![]() Presentation (2018) Detailed reference viewed: 11 (0 UL)![]() ; ; Botev, Jean ![]() in ARCS 2018 Workshop Proceedings (2018) Detailed reference viewed: 15 (3 UL)![]() ; Botev, Jean ![]() in Proceedings of the 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO) (2018) Detailed reference viewed: 32 (3 UL)![]() ; ; Botev, Jean ![]() in Proceedings of the 12th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO) (2018) Detailed reference viewed: 21 (1 UL)![]() Grevisse, Christian ![]() ![]() ![]() in ICERI 2017 Proceedings (2017, November 16) The ever-growing set of learning material challenges both students and teachers. While students often need to quickly retrieve resources on a certain topic, teachers have to author high quality documents ... [more ▼] The ever-growing set of learning material challenges both students and teachers. While students often need to quickly retrieve resources on a certain topic, teachers have to author high quality documents in a limited amount of time, preferably using their favourite tools. In this paper, we propose an open ecosystem of plugins for popular authoring software, enabling teachers to annotate learning resources using domain concepts from ontologies. In addition, a plugin for the Moodle Learning Management System extracts these annotations from the metadata of the provided resources to allow students to get an overview of important concepts and efficiently retrieve corresponding material. [less ▲] Detailed reference viewed: 127 (17 UL)![]() ; Botev, Jean ![]() in IEEE Technology & Society Magazine (2017), 36(3), 72-80 Detailed reference viewed: 67 (5 UL)![]() Grevisse, Christian ![]() ![]() ![]() in Advances in Computing - 12th Colombian Conference, CCC 2017, Cali, Colombia, September 19-22, 2017, Proceedings (2017, August) Semantic web technologies such as ontologies can foster the reusability of learning material by introducing common sets of concepts for annotation purposes. However, suggesting learning material from an ... [more ▼] Semantic web technologies such as ontologies can foster the reusability of learning material by introducing common sets of concepts for annotation purposes. However, suggesting learning material from an open, heterogeneous corpus is a nontrivial problem. In this paper, we propose an extensible and lightweight modular ontology for programming education. Its main purpose is to integrate annotated learning material related to programming into an IDE such as Eclipse. Our ontology is based on a modular architecture, which is extensible with respect to different programming languages. Aligning language-specific concepts with user-specific tags allows us to suggest learning resources for code elements in a fine-grained and cross-curricular way. Our concrete implementation establishes relations between learning aspects in Java or C code and annotated resources such as articles on online question-and-answer sites. [less ▲] Detailed reference viewed: 188 (33 UL)![]() Botev, Jean ![]() in Proceedings of the 9th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO) (2017) Detailed reference viewed: 11 (0 UL)![]() Botev, Jean ![]() Presentation (2017) Detailed reference viewed: 14 (1 UL)![]() Botev, Jean ![]() ![]() in Proceedings of the 16th World Conference on Mobile and Contextual Learning (mLearn) (2017) Detailed reference viewed: 110 (16 UL)![]() Botev, Jean ![]() in Proceedings of the 9th IEEE International Conference on Self-Adaptive and Self-Organizing Systems (SASO) (2017) Detailed reference viewed: 12 (1 UL) |
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