The use of technology, which is linked to active learning strategies, can contribute to better outcomes in Mathematics education. We analyse the conditions that are necessary for achieving an effective learning of Mathematics, aided by a robotic plat...
Machine learning approaches are commonly used to model physical phenomena due to their adaptability to complex systems. In general, a substantial number of samples must be collected to create a model with reliable results. However, collecting numerou...
From 2018 to 2021, the Sussex-Huawei Locomotion-Transportation Recognition Challenge presented different scenarios in which participants were tasked with recognizing eight different modes of locomotion and transportation using sensor data from smartp...
Audiovisual content is highly employed in modern education curricula. This study aimed to identify students’ perceptions regarding the use of video in the courses they attend. Quantitative research was conducted among students of journalism and...
Spatial tools to calculate cumulative impact assessments on the environment (CIA) are important contributors to the implementation of an ecosystem-based approach to maritime spatial planning (MSP). Ecosystem dynamics are increasingly important to und...
Student performance prediction is a critical research challenge in the field of educational data mining. To address this issue, various machine learning methods have been employed with significant success, including instance-based algorithms, decisio...
With the advancement of technology, the traditional e-learning model may expand the realm of knowledge and differentiate learning by means of deep learning (DL) and augmented reality (AR) scenarios. These scenarios make use of interactive interfaces...
Active learning is a label-efficient machine learning method that actively selects the most valuable unlabeled samples to annotate. Active learning focuses on achieving the best possible performance while using as few, high-quality sample annotations...
Simulation games offer a safe space to experiment with system models and provide learning experiences about interdependencies and thus, are considered to foster the development of a deeper understanding of systems. This article describes the use of S...
Extensively digitized workplaces require advanced competence profiles from employees, not least due to new options for teleworking and new complex digital tools. The acquisition of advanced competence profiles is to be addressed by formal education....
At present, university professors lack the tools to know which is the most sustainable activity and/or strategy that should be incorporated into large-group theoretical classes in order to improve our students’ learning process whilst taking ea...
A novel adaptive intelligent control system (AICS) with learning-while-controlling capability is developed for a highly nonlinear single-input single-output plant by redesigning the conventional model reference adaptive control (MRAC) framework, orig...
Continuous data stream analysis primarily focuses on the unanticipated changes in the transmission of data distribution over time. Conceptual change is defined as the signal distribution changes over the transmission of continuous data streams. A dri...
Despite the increasing availability of vast amounts of data, the challenge of acquiring labeled data persists. This issue is particularly serious in supervised learning scenarios, where labeled data are essential for model training. In addition, the...
Active learning (AL) typically involves (1) students applying knowledge and higher-order thinking (2) individually and in groups to (3) problems, cases, scenarios, or questions while (4) reflecting on their learning [...]
The development of information and communication technologies and the accessibility of mobile devices has increased the possibilities of the teaching and learning process anywhere and anytime. Mobile and web application allows the production of const...
Outdoor experiences significantly enrich intangible cultural heritage tourism, yet limited interaction often restricts deep cultural learning. This research investigates how a mobile application, grounded in experiential learning theory, enhances tou...
Active learning is a paradigm where students take a more active role in their learning process. In this paper, two team-based evaluation activities are established for students according to the principles of active learning in order to assess their k...
This paper discusses the enactment and evaluation of Embodied Conversational Agents (ECA) capable of affective communication in Collaborative Virtual Environments (CVE) for learning. The CVE discussed is a reconstruction of the European Parliament in...
Ambient displays can play an important role in the teaching process guiding students to perform learning activities in public spaces. In the last years, automated feedback is becoming popular due to the proliferation of sensors, actuators, mobile dev...
Problem-based learning is a widely used learning methodology in the field of technological disciplines, especially in distance education environments. In these environments, the most used tools, which provide learning scenarios, are remote and virtua...
The implementation of active learning strategies in engineering education still encounters barriers when facing conventional teaching-learning practices. This work aims to contribute to the discussion on teachers’ pedagogical competences required for...
Digital learning environments create a dynamic and engaging learning and teaching context that promotes a deeper understanding of complex concepts, eases the teaching process and fosters a passion for learning. Moreover, integrating interactive mater...
Computer-based learning facilitates a shift from externally controlled to self-directed learning. Universities and other educational institutions are challenged by these developments and must react appropriately to meet the requirements of education....
Deep learning models have gained prominence in human activity recognition using ambient sensors, particularly for telemonitoring older adults’ daily activities in real-world scenarios. However, collecting large volumes of annotated sensor data...
In recent years, complex multi-stage cyberattacks have become more common, for which audit log data are a good source of information for online monitoring. However, predicting cyber threat events based on audit logs remains an open research problem....
The applicability of sensor-based human activity recognition in sports has been repeatedly shown for laboratory settings. However, the transferability to real-world scenarios cannot be granted due to limitations on data and evaluation methods. On the...
Crisis-induced learning (CIL), as a concept, has an ancient history. Although the academic literature offers a range of sophisticated approaches to address CIL, it is still not quite clear how we learn, how we know we have learned, and what challenge...
With the rapid growth of digital computing, communication, and storage devices applied in various real-world scenarios, more and more data have been collected and stored to drive the development of machine learning techniques. It is also noted that t...
The objective of this work was to support the sustainable deployment of immersive learning environments, which face varied obstacles, including the lack of support infrastructures for active learning pedagogies. Sustainability from the perspective of...
This commentary explores the innovative introduction of English Problem-Based Learning (PBL) scenarios into child and adolescent psychiatry at Nagoya University, Japan. Recognizing the increasing need for multicultural competence and English proficie...
We describe two advanced video analysis techniques, including video-indexed by voice annotations (VIVA) and multi-media indexing and explorer (MINER). VIVA utilizes analyst call-outs (ACOs) in the form of chat messages (voice-to-text) to associate la...
Effective undergraduate courses increasingly blend elements of active learning with a more traditional lecture format. Designing and implementing active learning sessions that engage, educate, and are challenging and workable in a group setting are e...
The adoption of the active learning paradigm presents a series of challenges and uncertainties. However, its adoption may result in better academic results and a more engaging attitude towards learning. In this sense, this paper presents a case scena...
The integration of virtual manipulatives in classroom practices facilitates student learning processes. For this, the teacher must understand how to support students in establishing mathematical connections between the manipulation and their interpre...
Active learning is very useful for classification problems where it is hard or time-consuming to acquire classes of data in order to create a subset for training a classifier. The classification of over-night polysomnography records to sleep stages i...
Knowledge management is a critical activity for any organization. It has been said to be a differentiating factor and an important source of competitiveness if this knowledge is constructed and shared among its members, thus creating a learning organ...
Within STEM (Science, Technology, Engineering, and Mathematics) education, integrating real-world problem scenarios is paramount. Within interdisciplinary education, modeling is an approach to fostering student learning and skill development in a stu...
Strong communication skills, in varied professional settings, have become an absolute necessity for young professionals. Therefore, university educators are challenged to provide novice specialists with the effective foreign language training that co...
This study aims to analyze how pre-service informatics teachers design learning scenarios with robotics to teach programming fundamentals and to promote computational thinking skills. A descriptive and exploratory case study design was implemented wi...
Energy communities represent an important step towards clean energy; however, their management is a complex task due to various factors such as fluctuating demand and energy prices, variable renewable generation, and external factors such as power ou...
Planned and targeted attacks, such as the advanced persistent threat (APT), are highly sophisticated forms of attack. They involve numerous steps and are intended to remain within a system for an extended length of period before progressing to the ne...
Prolonged static sitting at the workplace is considered one of the main risks for the development of musculoskeletal disorders (MSDs) and adverse health effects. Factors such as poor posture and extended sitting are perceived to be a reason for condi...
With the popularity of smart wearable systems, sensor signal processing poses more challenges to machine learning in embedded scenarios. For example, traditional machine-learning methods for data classification, especially in real time, are computati...
Audio equalization is an active research topic aiming at improving the audio quality of a loudspeaker system by correcting the overall frequency response using linear filters. The estimation of their coefficients is not an easy task, especially in bi...
Sensor-based human activity recognition (HAR) plays a fundamental role in various mobile application scenarios, but the model performance of HAR heavily relies on the richness of the dataset and the completeness of data annotation. To address the sho...
Despite the availability and ease of collecting a large amount of free, unlabeled data, the expensive and time-consuming labeling process is still an obstacle to labeling a sufficient amount of training data, which is essential for building supervise...
This study developed a Kinect-based somatosensory English learning system. The main design concept was to integrate Kinect as an interaction technique with theories of situated learning and the attention, relevance, confidence, and satisfaction (ARCS...
The workplace is evolving towards scenarios where humans are acquiring a more active and dynamic role alongside increasingly intelligent machines. Moreover, the active population is ageing and consequently emerging risks could appear due to health di...
The current paper substantiates the effectiveness of immersive learning applications for youth. Emphasis is placed on the fact that the “immersion” of students can be carried out not only through virtual and augmented reality but also in...
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