It is known that one of the most vital indicators in scaffolding teaching and learning is carrying out a needs analysis which is considered part of continuous improvement of the curriculum design. In order for the students to gain knowledge and to ac...
Higher education in the Republic of Serbia needs to be reformed. This paper presents a performance analysis of the changes that the authors assume are mandatory, presenting the research problem this article addresses. Cabinet research, performed by a...
This study examined teacher-, school-, and student-level factors associated with classroom learning outcomes among junior high school students with special educational needs in inclusive education settings. Data were drawn from the 2012 wave of the S...
Today, mobile learning is a well-established methodology thanks to its countless benefits such as accessing learning content anytime and anywhere, adjusting the content to students’ needs, and timely feedback. The purpose of this pilot study is...
This study introduces a novel tool for classifying user needs in user experience (UX) design, specifically tailored for beginners, with potential applications in education. The tool employs the Kano model, text analysis, and deep learning to classify...
As generative artificial intelligence (GAI) becomes increasingly integrated into undergraduate medical education, its relationship with students’ learning engagement warrants further investigation. Guided by self-determination theory, this cros...
The share of renewables in the U.S. electricity generation mix is increasing and one of the major obstacles to enhancing employment in the renewable energy (RE) sector is finding skilled/qualified labor to fill positions. RE systems engineer jobs mos...
The purposes of this study were to describe the learning outcomes of students with disabilities in senior high school, to establish a model to explain the effects of personal, family, and school experience factors on the learning outcomes of students...
Objective. To examine the learning and practice needs of medical professionals in the field of continuing education of biomedical physics in Lithuania.
Material and methods. The study was based on a questionnaire survey of 309 medical professionals t...
Although HyFlex teaching has been studied for decades and has become part of the teaching norm since the 2020 pandemic, studies have generally not investigated the learning experiences of students with disabilities in HyFlex classrooms. This study co...
On 11 March 2020, the World Health Organization (WHO) declared the outbreak of coronavirus disease (COVID-19) to be a pandemic. As a result, the OpenWHO.org online platform, which serves as WHO’s learning hub for emergencies, was tested for the...
Mining operations are risky and often dangerous, with a high potential for accidents. Many of these accidents can be prevented by implementing safety measures. It is essential that mining companies take these measures seriously to protect the safety...
The number of consumers playing virtual reality games is booming. To speed up product iteration, the user experience team needs to collect and analyze unsatisfying experiences in time. In this paper, we aim to detect the unsatisfying experiences hidd...
This paper describes the results of recent research carried out with the UK energy sector to assess low-carbon related skills gaps and training requirements at the masters-level. Via iterative engagement across the industry, the characteristics of th...
With the rapid integration of technology into educational environments during the pandemic period, the teaching processes in classrooms and private education institutions began to be carried out with technology support. Game-based animation learning...
Since the COVID-19 pandemic, synchronous distance learning has become a common teaching method. However, there are problems in synchronous distance learning, such as distractions and cheating. Many studies have shown that gamification has been used a...
Food safety and quality analysis is shifting from laboratory-based end-point testing toward faster, lower-volume and matrix-adapted on-site decision-making. Near-infrared (NIR), visible-near-infrared (Vis-NIR), hyperspectral, Raman, surface-enhanced...
This article analyses the professional needs of foreign language teachers in rural territories, with a primary analytical focus on teachers’ linguistic competence and how it is sustained over time. Using a mixed-methods needs analysis informed...
Despite the affordances of professional development (PD) in teaching and learning in facilitating quality teaching and contributing to students’ learning outcomes, there is merit in exploring educators’ needs by enabling conditions to fur...
This paper compares various approaches to the scalability and replicability analysis (SRA) of smart grid pilot projects, highlighting the need for a comprehensive SRA methodology as called for by the European Commission and International Energy Agenc...
Making vocabulary stick in your memory involves dedicating attention to what needs to be learned. There are three main factors involved (focus, quantity, and quality) which can be expressed as six principles (focus, accuracy, repetition, time-on-task...
A good online learning system service performance can reduce the negative influence of the learning environment, which in turn can increase the effectiveness of the learning process. SPADA-DIKTI is one of the Indonesian government’s online lear...
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Health professionals need continuing education to maintain their qualifications and competency. Online learning increases the accessibility and flexibility of continuing education. Assessment of nurses’ attitudes toward, and needs for, online l...
Only 35% of the Ecuadorian population consumes drinking water of “assured quality”. One of the causes is related to the deficiencies in the technical ability of the operators due to their lack of education, technical training, and experie...
Ensuring that students with special needs learn on an equal basis as other students and participate fully in the educational process has become a global priority within inclusive education. The main goal of this movement is to introduce an inclusive...
Drying processes are among the most energy-intensive industrial processes. There is a need for development of the efficient methods needed for estimating, measuring, and reducing energy use. Different machine learning algorithms might provide some of...
The inclusion of information and communication technologies in education has become a priority for all universities. To meet this need, there are several research works that have dealt with the subject for several decades. However, for its inclusion,...
To meet the changing competence requirements for employees in engineering professions, education and training need to adapt accordingly. Learning factories offer various possibilities to design or integrate practice-oriented learning into training me...
In Chinese schools in less advanced places, there is an urgent need to improve the quality of education and educational equity. This study aims to investigate how an AI-aided educational platform can be used to provide additional teaching and learnin...
Deep learning has brought about a significant transformation in machine learning, leading to an array of novel methodologies and consequently broadening its influence. The application of deep learning in various sectors, especially biomedical data an...
This study analyzes existing research on learning needs assessments to identify key insights into the discipline and propose implications for future studies. Eighty-nine SSCI journal articles from 1997 to 2023 were reviewed. The findings are as follo...
To meet the sustainability challenges in the 21st century, students need to develop a unique human learning capacity for creativity, responsibility, adaptation, meaningfulness, and lifelong learning. Furthermore, current changes in the societal envir...
In the era of knowledge economy and open innovation, it is especially important for organizations to learn how to store and utilize internal and external knowledge for the sustainability of business models. The ability to innovate is a necessity for...
Deep learning is a trending field in bioinformatics; so far, mostly known for image processing and speech recognition, but it also shows promising possibilities for data processing in food analysis, especially, foodomics. Thus, more and more deep lea...
Growth in the area of opinion mining and sentiment analysis has been rapid and aims to explore the opinions or text present on different platforms of social media through machine-learning techniques with sentiment, subjectivity analysis or polarity c...
Augmented reality (AR) is transforming users’ multisensory experiences and heightening the level of engagement with multimodal learning. Scholarly attention is urgently needed to conceptualise and examine user–app interactivity in educati...
European social work education needs to be linked to global demands and contemporary social transformations. It must also be elaborated in accordance with the objectives of sustainable development in higher education and the specific needs of student...
This study aims to explore the professional learning and development needs of Special Educational Needs Coordinators (SENCOs) as strategic leaders in primary schools in Ireland. With the SENCO role lacking formal recognition in Irish policy, this res...
Background and objectives: Artificial intelligence (AI)-based adaptive learning has the potential to strengthen clinical decision-making and enhance quality of care at primary health centers. The present study assessed the perceptions, barriers, and...
It is essential to encourage scientific understanding of water resources. However, how to achieve this for different objects needs to be researched further. Therefore, the purpose of this study is to analyze the impact of game-based teaching on eleme...
Education for Sustainable Development requires learning approaches that are accessible, context-sensitive, and responsive to learners’ actual needs. This study investigates the educational needs of Ukrainian youth regarding the Sustainable Deve...
Transferable skills, such as learning skills as well as oral and written communication skills, are needed by today’s experts. The learning of transferable skills was studied during a multidisciplinary two-week, research-oriented intensive cours...
Machine learning has been proven to provide good performances on stress detection tasks using multi-modal sensor data from a smartwatch. Generally, machine learning techniques need a sufficient amount of data to train a robust model. Thus, we need to...
There is an increasing need in schools and/or at home, as well as in society at large, to find ways to help students develop social-emotional and self-management skills, particularly in cases when they exhibit emotional or behavioral problems. This s...
Accurate, high-resolution air quality data are crucial for understanding environmental health risks; however, the cost and complexity of maintaining dense, reference-grade monitoring networks remain a significant barrier. This study presents the firs...
The COVID-19 pandemic revealed the need for new innovative methods to effectively maintain education in times of crisis and uncertainty. This study first presents the Online-Merge-Offline (OMO) learning approach, a way of learning that caters to the...
Sentiment analysis is a key technique in natural language processing that enables computers to understand human emotions expressed in text. It is widely used in applications such as customer feedback analysis, social media monitoring, and product rev...
This empirical paper addresses the need for more in depth understanding of signs and characteristics of transgressive learning in a context of runaway climate change. In a world characterized by systemic global dysfunction, there is an urgency to fos...
Working memory impairments are common in neurodevelopmental conditions, potentially impacting how neurodivergent students experience cognitive load during learning. We conducted a survey with 231 participants focused on students with attention defici...
Background: Zebrafish are efficient animal models for conducting whole organism drug testing and toxicological evaluation of chemicals. They are frequently used for high-throughput screening owing to their high fecundity. Peripheral experimental equi...
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