• Digital vs. paper-based implementation of the pyramid collaborative learning flow pattern

  Hernández Leo, Davinia; Pérez-Basso, Francisco; Beltrán-Beltrán, Belén (2024-08-28)

  PyramidApp is designed to support collaborative learning scripting structured according to the Pyramid (a.k.a. Snowball) Collaborative Learning Flow Pattern (CLFP). Available as a web platform for computer or mobile ...
• Encouraging collaborative learning on a shared tablet through the split screen feature and crisscross technique

  Čarapina, Mia (2024-08-28)

  This paper explores the use of a split screen feature on tablets to facil-itate collaborative learning among primary school students. In known research, the split screen approach has been utilized on personal computers and ...
• Improving social presence in collaborative learning platforms: the case of PyramidApp

  Szafranek, Karolina Martyna; Hernández Leo, Davinia (2024-08-28)

  This research examines the role of social presence in Computer- Supported Collaborative Learning (CSCL) scripts and its facilitation through digital tools, specifically evaluating a tool implementing the Pyramid ...
• Multimodal intermediary agents for 3D-LLM-Protocols

  Utsugi, Kei; Fujiwara, Takayuki; Kuwamoto, Satoshi; Yamashiro, Masao; Mitani, Keiichi; Hasebe, Tatsuya (2024-08-28)

  We introduce our industrial metaverse systems, which centralizes the management of various documents in a CAD-based industorial digital twin 3D model. In the metaverse environment, we also developed a portable implementation ...
• Study on predicting collaborative performance: from personality traits vs. behavior in a different task

  Kodama, Daiki; Takayama, Chihiro; Shimizu, Shinya (2024-08-28)

  Most social activities are conducted with multiple entities to improve efficiency. It is difficult to estimate post-learning performance in advance when multiple entities (e.g., another user, robot, or autonomous agent) ...
• LA-ReflecT platform’s affordances for distributed multimodal learning analytics

  Majumdar, Rwitajit; Singh, Daevesh; Rajendran, Ramkumar; Narayanan, Soumya; Gatare, Kinnari (2024-08-28)

  We present the affordances of LA-ReflecT, an LTI-enabled platform, and its potential to collect geographically distributed and asynchronous multimodal learning data. As a user, teachers can author micro-learning activities ...
• CC BY-NC-SA, No doubt! License preference for sharing OERs on teacher community platforms

  Hernández Leo, Davinia; Pérez-Basso, Francisco; Carrió, Mar (2024-08-28)

  Open Educational Resources (OERs) are open and free-access teaching- learning materials, based on author-led sharing, readapting, and communitybuilding logics. OER are usually created and shared by teachers in open ...
• The elusive nature of inattentional deafness: assessing the influence of visual attention on background music perception in TV programmes

  Batlle-Roca, Roser; Tyman, Diana; Meléndez Catalán, Blai; Molina, Emilio; Herrera-Boyer, Perfecto (2024-07-03)

  Evaluating the audibility level of background music in TV programmes is a significant challenge as some music industry copyright regulations arrange music remuneration accordingly. Besides the loudness level, other ...
• Simulating piano performance mistakes for music learning

  Morsi, Alia; Zhang, Huan; Maezawa, Akira; Dixon, Simon (2024-07-03)

  The development of machine-learning based technologies to support music instrument learning needs large-scale datasets that capture the different stages of learning in a manner that is both realistic and computation-f ...
• Modeling the Pultec EQP-1A with wave digital filters

  Barrera, Barrera,; Lizarraga Seijas, Xavier; Font, Frederic (2024-07-02)

  This paper details the development of a virtual analog model of the passive equalizer stage of the classic Pultec EQP-1A studio equalizer using Wave Digital Filters. The modeling process involves analyzing the unit’s ...
• GrooveTransformer: a generative drum sequencer Eurorack module

  Evans, Nicholas; Haki, Behzad; Jordà Puig, Sergi (2024-06-07)

  This paper presents the GrooveTransformer, a Eurorack module designed for generative drum sequencing. Central to its design is a Variational Auto-Encoder (VAE), around which we have designed a deployment context enabling ...
• Making democratic deliberation and participation more accessible: the iDEM project

  Saggion, Horacio; O’Flaherty, John; Blanchet, Thomas; Sharoff, Serge; Sanfilippo, Silvia; Muñoz, Lian; Gollegger, Martin; Rascón, Almudena; Martí, José Luis; Szasz, Sandra; Bott, Stefan Markus; Sayman, Volkan (2024-05-27)

  Deliberative and participatory processes currently don’t have full legitimacy due to the exclusion and marginalisation of several vulnerable communities from democratic spaces. It is well documented that people with limited ...
• Leveraging pre-trained autoencoders for interpretable prototype learning of music audio

  Alonso Jiménez, Pablo; Pepino, Leonardo; Batlle-Roca, Roser; Zinemanas, Pablo; Bogdanov, Dmitry; Serra, Xavier; Rocamora, Martín (Institute of Electrical and Electronics Engineers (IEEE), 2024)

  We present PECMAE an interpretable model for music audio classification based on prototype learning. Our model is based on a previous method, APNet, which jointly learns an autoencoder and a prototypical network. Instead, ...
• Computers in education: how can we support the teachers?

  Hernández Leo, Davinia (2024-01-09)
• Completing audio drum loops with symbolic drum suggestions

  Haki, Behzad; Pelinski, Teresa; Nieto, Marina; Jordà Puig, Sergi (2023-11-20)

  Sampled drums can be used as an affordable way of creating human-like drum tracks, or perhaps more interestingly, can be used as a mean of experimentation with rhythm and groove. Similarly, AI-based drum generation tools ...
• Carnatic singing voice separation using cold diffusion on training data with bleeding

  Plaja-Roglans, Genís; Miron, Marius; Shankar, Adithi; Serra, Xavier (2023-10-30)

  Supervised music source separation systems using deep learning are trained by minimizing a loss function between pairs of predicted separations and ground-truth isolated sources. However, open datasets comprising ...
• Efficient notation assembly in optical music recognition

  Penarrubia, Carlos; Garrido-Muñoz, Carlos; Valero-Mas, Jose J.; Calvo Zaragoza, Jorge (2023-10-30)

  Optical Music Recognition (OMR) is the field of research that studies how to computationally read music notation from written documents. Thanks to recent advances in computer vision and deep learning, there are successful ...
• Activities using smart IoT planters in learning spaces: human-centred design of a dashboard

  Hernández Leo, Davinia; Ferrer, Josep; Vujovic, Milica; Tabuenca, Bernardo; Ortiz-Beltran, Ariel; Greller, Wolfgang; Carrió, Mar; Moyano Claramunt, Elisabet (2023-10-25)

  Education plays a transversal key role in the UN's Sustainable Development Goals agenda. Educating young people on natural health and the interpretation of scientific evidence can contribute to increased levels of informed ...
• TapTamDrum: a dataset for dualized drum patterns

  Haki, Behzad; Kotowski, Błażej; Lee, Cheuk Lun Isaac; Jordà Puig, Sergi (2023-10-24)

  Drummers spend extensive time practicing rudiments to develop technique, speed, coordination, and phrasing. These rudiments are often practiced on "silent" practice pads using only the hands. Additionally, many percussive ...
• Predicting performance difficulty from piano sheet music images

  Ramoneda, Pedro; Valero-Mas, Jose J.; Jeong, Dasaem; Serra, Xavier (2023-10-24)

  Estimating the performance difficulty of a musical score is crucial in music education for adequately designing the learning curriculum of the students. Although the Music Information Retrieval community has recently ...

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