-
161
Experiential Learning, Spatial Visualization and Metacognition: An Exercise with the “Blank Page” Technique for Learning Anatomy
Published 2016-06-01“…Discussion: The blank page activity has merit in student engagement and facilitation of the learning of anatomy by broadening the scope of instruction to encompass multimodal learning preferences, metacognition and visual spatial thinking.…”
Get full text
Article -
162
Realistic Image Generation from Text by Using BERT-Based Embedding
Published 2022-03-01“…Recently, in the field of artificial intelligence, multimodal learning has received a lot of attention due to expectations for the enhancement of AI performance and potential applications. …”
Get full text
Article -
163
An Empirical Study on Multimodal Activity Clustering of Android Applications
Published 2023-01-01“…Finally, by fusing the two models, we propose an activity clustering approach using multimodal learning. Since there are no labels in the dataset, we make 2000 labeled data for evaluation. …”
Get full text
Article -
164
A Cross-Modal Dynamic Attention Neural Architecture to Detect Anomalies in Data Streams from Smart Communication Environments
Published 2023-08-01“…Specifically, the proposed model uses multimodal learning tasks where the input data comes from different cyber modalities. …”
Get full text
Article -
165
A survey on learning styles of undergraduate medical students and its associated factors
Published 2023-01-01“…Seventy one percent of the subjects were found to have multimodal learning preferences whereas 29% were unimodal learners. …”
Get full text
Article -
166
Multimodal Representation Learning for Medical Image Analysis
Published 2022“…The experiments described in this thesis demonstrate the advances of the multimodal learning approaches in the application of chest x-ray analysis.…”
Get full text
Get full text
Thesis -
167
Supporting Students’ Science Content Knowledge and Motivation through Project-Based Inquiry (PBI) Global in a Cross-School Collaboration
Published 2022-06-01“…The data sources included pre-/post-tests on science content and student motivation (n = 75), transcripts from student focus groups (n = 26), and students’ multimodal learning products (n = 18 teams). The quantitative findings indicated School B students were more motivated by the project than School A students, which mirrored student performance. …”
Get full text
Article -
168
Intelligent Recognition Using Ultralight Multifunctional Nano-Layered Carbon Aerogel Sensors with Human-Like Tactile Perception
Published 2023-11-01“…The tactile system with multimodal learning algorithms has universality and can accommodate object recognition tasks in various application scenarios (e.g., Mars and Kitchen).…”
Get full text
Article -
169
CIMLA: A Modular and Modifiable Data Preparation, Organization, and Fusion Infrastructure to Partially Support the Development of Context-aware MMLA Solutions
Published 2023-03-01“…Multimodal Learning Analytics (MMLA) solutions aim to provide a more holistic picture of a learning situation by processing multimodal educational data. …”
Get full text
Article -
170
SMoCo: A Powerful and Efficient Method Based on Self-Supervised Learning for Fault Diagnosis of Aero-Engine Bearing under Limited Data
Published 2022-08-01“…Using the data augmentation method, SMoCo performs feature extraction on vibration signals from both time and frequency domains, which is called signal multimodal learning (SML). It has been proved by experiments that after pre-training with artificially injected fault bearing data, SMoCo can learn a powerful and robust feature extractor, which can greatly improve the accuracy no matter the target diagnostic data with different working conditions, different failure modes, or even different types of equipment from the pre-training dataset. …”
Get full text
Article -
171
Use of wearable devices in the teaching-learning process: a systematic review of the literature
Published 2023-09-01“…Multimodal learning analytics (MMLA) has emerged as an encompassing approach to data collection, facilitating the analysis of student interactions across a variety of resources. …”
Get full text
Article -
172
-
173
Editorial
Published 2023-03-01“…Prieto, María Jesús Rodríguez-Triana, Pankaj Chejara, and Sandesh Tripathi discuss a modular and modifiable infrastructure for data preparation, organization, and fusion to partially support the development of context-aware multimodal learning analytics solutions. Enjoy Reading!…”
Get full text
Article -
174
MDF-Net for abnormality detection by fusing X-rays with clinical data
Published 2023-09-01“…Since these data modalities are in different dimensional spaces, we propose a spatial arrangement strategy, spatialization, to facilitate the multimodal learning process in a Mask R-CNN model. We performed an extensive experimental evaluation using MIMIC-Eye, a dataset comprising different modalities: MIMIC-CXR (chest X-ray images), MIMIC IV-ED (patients’ clinical data), and REFLACX (annotations of disease locations in chest X-rays). …”
Get full text
Article -
175
System design for using multimodal trace data in modeling self-regulated learning
Published 2022-08-01“…In this paper, we discuss recommendations for building a multimodal learning analytics architecture for advancing research on how researchers or instructors can standardize, process, analyze, recognize and conceptualize (SPARC) multimodal data in the service of understanding learners' real-time SRL and productively intervening learning activities with significant implications for artificial intelligence capabilities. …”
Get full text
Article -
176
Improving RGB-Infrared Object Detection by Reducing Cross-Modality Redundancy
Published 2022-04-01“…Existing RGB-infrared detection methods do not explicitly encourage RGB and infrared images to achieve effective multimodal learning. We find that when fusing RGB and infrared images, cross-modal redundant information weakens the degree of complementary information fusion. …”
Get full text
Article -
177
Cross-platform privacy-preserving CT image COVID-19 diagnosis based on source-free domain adaptation
Published 2023Get full text
Journal Article -
178
Monitoring amyloidogenesis with a 3D deep-learning-guided biolaser imaging array
Published 2023“…The training set, validation set, and test set of the multimodal learning model achieved outstanding classification accuracies of over 95%. …”
Get full text
Journal Article -
179
Learning styles of music students and preference to study with or without music / Hawa Nor Adilah Md Yusofe
Published 2015“…Results of the study found that, 55% had single learning style and 45% had multimodal learning style. Among multimodal learners, bi-modal learners comprised of 67%, tri-modal learners were 24%, and quad-modal learners were 9%. …”
Get full text
Student Project -
180
Learning style preferences: A study of Pre-clinical Medical Students in Barbados
Published 2017-10-01“…Overall, 60.7% of high achievers used multimodal learning compared to 56.9% low achievers. Conclusion: The findings from this study indicated that the VARK tool was useful in gathering information about different learning styles, and might assist educators in designing blended teaching strategies to cater to the students’ needs as well as help the students in becoming aware of their learning style preferences to enhance learning.…”
Get full text
Article