Content Adaptation Research Articles

Adaptação transcultural, validade de face e validade semântica de conteúdo do Questionário de Volição (versão 4.1, 2007) para o português do Brasil

Abstract Introduction The Model of Human Occupation (MOHO) defines volition as a person's motivation to engage in an occupation. It encompasses their choice, experience, understanding, and anticipation of that occupation, influenced by personal causation, values, and interests concerning the environment. The Volitional Questionnaire (VQ) is extensively used to measure the volitional component of occupation and evaluate how the environment facilitates or inhibits an individual’s motivation. Prior to the translation of the VQ into Brazilian Portuguese, there were no standardized instruments of this nature in Brazil. Objectives This study aims to outline the process involved in the cross-cultural adaptation of the VQ for Brazilian Portuguese, including assessments of face validity and semantic content validity. Method The translation and cross-cultural adaptation were performed according to established protocols involving translation, back-translation, review by an expert committee, and assessments of face validity and semantic content validity. The expert committee comprised 20 participants: 12 occupational therapists, two final-year undergraduate students in occupational therapy, and six psychologists. Results This study presents the initial outcomes of the VQ’s cross-cultural adaptation, face validity, and semantic content validity. Conclusion The preliminary findings suggest that the VQ’s Brazilian version demonstrates face validity and semantic consistency. The subsequent phase will involve a pre-test and an assessment of psychometric properties.

Visit planner: A personalized mobile trip design application based on a hybrid recommendation model

The paper presents Visit Planner (ViP), a mobile application prototype that provides a solution to the challenging tourist trip design problem. ViP follows a holistic approach offering personalized recommendations for Points of Interest (POIs) based on preferences either explicitly collected by the application, or inferred by the users? ongoing interaction with the system. ViP proposes to the final user, a trajectory of POIs calculated using an Expectation Maximization method that maximizes user satisfaction taking into consideration a variety of time and spatial constraints for both users and POIs. Additionally, POIs are divided into categories, so that a certain number of POIs from each category to be included in the final itinerary. The application is implemented as a user-interactive system that allows the flexibility for easy content adaptation and facilitates management of content and services by the user. The prototype has been implemented for Android-based smartphones, on an open application environment, using standard communication protocols and open database technology. Currently, it is applied to the city of Agios Nikolaos in Crete, and is available for download from Google play.

ReGO: Reference-Guided Outpainting for Scenery Image.

We present ReGO (Reference-Guided Outpainting), a new method for the task of sketch-guided image outpainting. Despite the significant progress made in producing semantically coherent content, existing outpainting methods often fail to deliver visually appealing results due to blurry textures and generative artifacts. To address these issues, ReGO leverages neighboring reference images to synthesize texture-rich results by transferring pixels from them. Specifically, an Adaptive Content Selection (ACS) module is incorporated into ReGO to facilitate pixel transfer for texture compensating of the target image. Additionally, a style ranking loss is introduced to maintain consistency in terms of style while preventing the generated part from being influenced by the reference images. ReGO is a model-agnostic learning paradigm for outpainting tasks. In our experiments, we integrate ReGO with three state-of-the-art outpainting models to evaluate its effectiveness. The results obtained on three scenery benchmarks, i.e. NS6K, NS8K and SUN Attribute, demonstrate the superior performance of ReGO compared to prior art in terms of texture richness and authenticity. Our code is available at https://github.com/wangyxxjtu/ReGO-Pytorch.

Evaluation of Health Sector in the 5-year Socioeconomic and Cultural Cevelopment Plans of Iran

Background: Development is a mainstream that enhances the improvement and promotion of the socio-economic structure and system of a country. Maintaining and improving the level of community health is considered necessary for any action in the economic and social planning. Health has been one of the most basic human needs since its social life. Accordingly, the constitution of the Islamic Republic of Iran, as the main upstream document, regards health as a "universal right" and obliges the governments of the Islamic Republic of Iran to plan for the realization of this right.
 Method: In this qualitative study, using the adaptive method and content analysis technique, each of Iranian six development plans approved after Islamic Revolution has investigated.
 Results: Health played very limited roles in the first and second development plans. The mainstream health policy in the first and second plans was the development of public health through the development of healthcare centers. Sections related to the health sector were enhanced in the third development plan. The main orientation of this plan was to increase the efficiency and reform of health system structure. In the fourth and fifth development plans, health sector policies aimed at promoting justice in access to health services and improving fairness of financial contribution. The quantitative and qualitative development of health insurance and the implementation of stratification & referral system are the major goals of the sixth plan.
 Conclusion: In the first three development plans, there is no comprehensive overview of the plan, and most of the articles have service aspects and have not promoted to the policy level. In the later development plans, the approach of the plan has changed, and it is aimed at achieving equity in access to health services and improving the fairness of financial contribution.

An Agile Learning Methodology to Support Inclusive Education

Inclusive education is complex due to adapting the learning process to specific learning needs. Besides, some current national education models for inclusive education lack an agile, flexible, and collaborative methodology where all relevant participants, like parents, educators' instructors, and even information technology (IT) developers, can be involved. COVID-19 accelerated e-learning but established new challenges. This research method includes the test of a proposed scrum-agile learning methodology in an elementary education institute for three students with dyscalculia based on Scrum as an agile methodology proposed to adapt inclusive education processes. Among the benefits of the proposed methodology is the testing of the iterative design and application of an agile approach, quick adaptation, and formation of IT applications and contents. Also, the student's learning improvements were measured in this research experience, demonstrating that the proposed methodology supports inclusive education by improving collaborative interventions, flexible curriculum, attention to learning needs, IT integration, and instructor training. Thus, it can be argued that the proposed methodology can meet the new challenges of the evolution of inclusive education and national models, such as accelerated IT integration, collaborators' involvement, and specific students' attitudes and needs. This methodology can evolve to an 'agile and inclusive learning methodology'.

Adaptive Learning in the Future of Educational Management Adapts to Student Needs

Education is the most important foundation for shaping the future of the next generation. In the era of ever-evolving information technology, education must be updated to remain relevant and effective. One approach that has emerged as a solution to future training needs is "adaptive learning". Adaptive learning is a teaching method that uses technology to identify and adapt each student's learning needs individually. Adaptive learning systems use data and analysis of student behavior when processing learning materials. Thus, the learning process becomes more personal, interactive and related to the abilities and learning styles of each student. This summary aims to describe the concept of adaptive learning in future educational administration and focuses on the importance of adapting to student needs. Research shows that each student has a different learning style and speed of understanding. The use of technology in adaptive learning gives teachers and educational institutions the ability to more accurately identify each student's weaknesses and strengths. In this summary, we analyze how adaptive learning can benefit students, teachers and the entire education system. Adaptive learning not only increases student engagement, but also enables teachers to develop more effective teaching strategies based on the information and data they collect. However, this summary also discusses some of the challenges and considerations that must be faced when implementing adaptive learning. These include questions about student information security, the development of high-quality adaptive learning content, and the role and involvement of teachers in the use of educational technology. Facing the Industrial Revolution 4.0 era, adaptive learning offers hope for creating a more inclusive and effective education system. With an approach that addresses students' needs, adaptive learning can become the main pillar in building a generation that is ready to face the complexities of the modern world.

ANTECEDENTS OF THE PERCEIVED USEFULNESS OF AN ONLINE LEARNING PLATFORM DURING THE PANDEMIC

The pandemic has posed a number of challenges to university studies. The whole study process, the conditions, the context, the conditions for student mobility, the technical possibilities, and finally the quality of the studies have changed. During the pandemic period, a number of studies have been carried out on how higher education is organised in the context of a pandemic, but there is still a lack of analysis on how students perceive the usefulness of distance learning. A quantitative study was carried out with a contingent of 132 prospective preschool and primary education teachers, and students in the field of social sciences at three Lithuanian universities. The aim was to explore possible antecedents of the perceived usefulness of an online learning platform during the pandemic. The sample consisted of 24 first-year, 52 second-year, 28 third-year and 28 fourth-year students. The data obtained during the study were processed and analysed using SPSS software. In addition, structural Equation Modelling (SEM) with Lisrel 9.3 for Windows has been used to test the model. Three factors were extracted. All constructs have a very good convergent and discriminant validity. These factors are important for analyzing the effectiveness of distance learning in general. It was found that the most important contributor to the perceived usefulness is the ease of access. It was also found that content adaptation has a positive influence on the perceived usefulness. Keywords: distance education, quantitative research, perceived usefulness, university students

Bridging Theory and Measurement of Student Engagement

Learner engagement is well-established as critical for learning online. Professional development for online instructors emphasizes techniques for engaging students, and learning technology products tout features intended to promote engagement (e.g., adaptive content, video, gamification). But the influence of particular instructor practices and of particular learning technology features on theory-based aspects of student engagement is infrequently tested empirically, and even more rarely with Black, Latine, and low-income students, who are more likely to face barriers to learning online. This paper first provides a research-based theoretical model of affective engagement developed in conjunction with ongoing studies of blended learning implementations of courseware designed to enhance learning and engagement among historically and systemically marginalized students. Next, the paper describes development of survey-based measures of four components of affective engagement and the use of responses from over 850 students in introductory statistics courses to evaluate the reliability and factor structure of those measures. We conclude with implications for use of the engagement measures in future improvement-oriented research and practice.

Supplementing e-learning systems with adaptive content generation elements

The paper describes automatic summarization as one of the topic that helps elearning system to be more adaptable on content generation. This article treat automatic summarization with approaches that provide the ability to summarize texts for different languages. In the case of this article, it is about the English, Romanian and Russian languages. The paper contains both the description of the problem and different approaches already used by other researchers. Next, the data with which the automatic summarization experiments were carried out were described. The metrics with which we can evaluate the quality of the summarization result were presented. Finally, some thoughts were formulated regarding the results obtained in the experiment.

Digital literacy in university students of education degrees in Ecuador

Digital technologies have transformed the social and, consequently, educational context. Given this situation, it is worth highlighting the importance of promoting digital literacy to actively participate in the society in which it develops. This work analyzes the level of mastery of digital skills of the university students in Ecuador. To do this, a descriptive methodology has been used, based on the survey technique, based on a questionnaire (n = 778). Results reveal how the students give priority to research and information management, presenting difficulties in the development and adaptation of technological materials, as well as in the creation and adaptation of digital content. It even highlights how male university education students claim to have better digital skills, while the same situation is not the case for those others who study Intercultural Bilingual Education. This analysis enables Higher Education institutions to make decisions for planning, developing and acquiring digital skills in the university students of Education in Ecuador, in favor of better teaching professional development.

Adapting and scaling a proven diabetes prevention program across 11 worksites in India: the INDIA-WORKS trial.

Structured lifestyle change education reduces the burden of cardiometabolic diseases such as diabetes. Delivery of these programs at worksites could overcome barriers to program adoption and improve program sustainability and reach; however, tailoring to the worksite setting is essential. The Integrating Diabetes Prevention in Workplaces (INDIA-WORKS) study tested the implementation and effectiveness of a multi-level program for reducing cardiometabolic disease risk factors at 11 large and diverse worksites across India. Herein, we describe and classify program adaptations reported during in-depth interviews and focus group discussions with worksite managers, program staff, and peer educators involved in program delivery, and program participants and drop-outs. We used thematic analysis to identify key themes in the data and classified reported program adaptations using the FRAME classification system. Adaptations were led by worksite managers, peer educators, and program staff members. They occurred both pre- and during program implementation and were both planned (proactive) and unplanned (proactive and reactive). The most frequently reported adaptations to the individual-level intervention were curriculum changes to tailor lessons to the local context, make the program more appealing to the workers at the site, or add a wider variety of exercise options. Other content adaptations included improvements to the screening protocol, intervention scheduling, and outreach plans to tailor participant recruitment and retention to the sites. Environment-level content adaptations included expanding or leveraging healthy food and exercise options at the worksites. Challenges to adaptation included scheduling and worksite-level challenges. Participants discussed the need to continue adapting the program in the future to continue making it relevant for worksite settings and engaging for employees. This study describes and classifies site-specific modifications to a structured lifestyle change education program with worksite-wide health improvements in India. This adds to the literature on implementation adaptation in general and worksite wellness in India, a country with a large and growing workforce with, or at risk of, serious cardiometabolic diseases. This information is key for program scale-up, dissemination, and implementation in other settings. Clinicaltrials.gov NCT02813668. Registered June 27, 2016.

Exploring the Effectiveness of AI Algorithms in Predicting and Enhancing Student Engagement in an E-Learning

The shift from traditional to digital learning platforms has highlighted the need for more personalized and engaging student experiences. In response, researchers are investigating AI algorithms' ability to predict and improve e-learning student engagement. Machine Learning (ML) methods like Decision Trees, Support Vector Machines, and Deep Learning models can predict student engagement using variables like interaction patterns, learning behavior, and academic performance. These AI algorithms have identified at-risk students, enabling early interventions and personalized learning. By providing adaptive content, personalized feedback, and immersive learning environments, some AI methods have increased student engagement. Despite these advances, data privacy, unstructured data, and transparent and interpretable models remain challenges. The review concludes that AI has great potential to improve e-learning outcomes, but these challenges must be addressed for ethical and effective applications. Future research should develop more robust and interpretable AI models, multidimensional engagement metrics, and more comprehensive studies on AI's ethical implications in education.

Aspects of Success in Studies for Higher Education Students From Minority Groups: The Case of Ultra-orthodox Women in Israel

The low representation of minority groups in higher education challenges many countries. Integrating these groups requires the presence of a multi-faceted support system to include financial aid, educational support, and cultural adaptation of content, but most of the support is directed to bachelor's degrees. The current study aims to examine differences in measures of success for a bachelor’s degree and those for a master’s degree among Ultra-orthodox women in Israel. The study was carried out using a quantitative paradigm and was based on 116 female students who completed master's degrees in special programs for Ultra-orthodox women. The findings indicate that measures of success were found to be significantly higher in advanced degree studies than in bachelor’s degree studies. At the same time, it appears that the components of making a degree accessible for ultra-orthodox society are also considered higher for master’s degrees. This shows that the importance of cultural adaptation does not end with a bachelor’s degree, and it is very important for master’s degrees A culturally adapted environment, and specifically, content that is suitable for minorities, encourages a sense of belonging, which has been found to contribute to success.

The impact of the sequential adaptive content delivery approach on the development of academic self-efficacy among educational technology students

The impact of the sequential adaptive content delivery approach on the development of academic self-efficacy among educational technology students

Development of skills in the fi eld of neural network technologies for future teachers: opportunities and advantages

The article discusses the experience of teaching neural network technologies and their use in education in the context of professional training of future teachers in a pedagogical university. Based on the existing practical experience, the authors analyzed and briefly presented the advantages of using the developed neural networks in education and described the possibilities of their development. In addition, a modular content of the training course on neural network technologies for future teachers is proposed, which contributes to the development of their special competencies to create their own projects to fulfil professional and pedagogical tasks in the conditions of digital transformation of the school. Approaches and methods for the development of skills in the field of neural network technologies for pedagogical areas of training with a view to their introduction into the educational process of a pedagogical university are determined. The article describes the ways and directions of using neural networks, including data analysis, content adaptation to the individual needs of trainees and the organization of personalized learning

Influence of teachers' linguistic competence on the implementation of CLIL in Physical Education

The aim of this paper was to know the influence of the qualification level in the second foreign language in order to see the differences in teacher perception in Bilingual Physical Education classes (AICLE). For this, 146 active teachers in Physical Education participated in the present study, to whom the Physical Education Session Evaluation questionnaire (CESEFA) was administered through. Effects based on the sex of the participants and age category were also checked. The analysis of results showed that the participants who had a C1 level of English had a more positive perception of all categories analyzed. In turn, no differences were found based on the sex of the participants, but were found based on the age category, finding that those under 36 with a B2 level had a better perception of their classes in the items: take advantage of breaks, adaptation of content and feedback. It is concluded that the degree of qualification influences the perception of Physical Education classes, and that in the case of the youngest subjects, there are elements related to the individual efficacy variable, where no differences were found according to the degree of qualification or even these are positive in favor of level B2.

Technologies for automation of online learning and teaching, adaptation of content and personalization of the learning process

Education is fundamental in the development of every human being; However, the evolution of technology combined with education gave rise to online education. The automation of learning in education provides beneficial benefits, one of the most significant tools is the incorporation of artificial intelligence, which allows the personalization of content tailored to users who use online learning platforms. In conclusion, the potential of learning automation in online education is promising; Continuous technological evolution foresees substantial improvements in the generation of personalized content.

Designing an OER course in the field of written heritage preservation: Importance of content adaptation

Written heritage preservation is a complex field that requires a holistic approach reflected in the model of comprehensive written heritage preservation management. Model encompasses key issues through five key aspects, namely strategic and theoretical, economic and legal, educational, technical and operational and cultural and social aspect. Designing an OER in this field needs to include its complexity to present the content more efficiently and purposefully to the intended end-user. To be able to achieve that end goal, it is necessary to adapt the content for the online environment. Considering the concepts within the term preservation, authors propose the creation of the content framework that can facilitate and guide the effective creation of OERs in the field of written heritage preservation. Framework includes content areas derived from the key issues defined in each aspect of comprehensive written heritage preservation management model. These considerations combined with Bloom’s taxonomy result in a quality basis for selecting appropriate educational digital tools that enable the creation of an OER specific to the field of preservation.

Adaptation and validation of the Turkish version of the alarm fatigue assessment questionnaire

ObjectiveAlarm fatigue may endanger the safety of patients by negatively affecting nurses' concentration and ability to provide effective care. Identifying alarm fatigue and taking appropriate measures are critical in preventing medical errors and for nurses to work with high motivation. This study aimed to test the psychometric properties of the Turkish version of the 23-item Alarm Fatigue Assessment Questionnaire (AFAQ). MethodThe study was conducted between February 2022 and April 2022 and included nurses with at least one year of clinical or intensive care experience. The data were collected via a web-based questionnaire. During the adaptation of AFAQ, language, content, and construct validity were evaluated; reliability was examined by internal consistency analysis. ResultsThe item and scale content validity index of AFAQ were found to be high (>0.80). The Kaiser–Meyer–Olkin measure of sampling adequacy indicated an adequate sampling (0.85); Bartlett's test of sphericity χ2 was 1935.074, p<0.001. Exploratory factor analysis (EFA) showed that the 21-item scale had a five-factor structure, explaining 51.606% of the total variance, and the factor loadings of the items were >0.30 (0.422−0.803). Confirmatory factor analysis (CFA) showed that the five-factor model had a good fit index (χ2/df=1.855, SRMR=0.039, RMSEA=0.048, CFI=0.915, and TLI=0.908) and appropriate factor loadings (>0.30). The internal consistency of AFAQ (Cronbach's alpha coefficient) was 0.85, and the corrected item-total correlations were between 0.32−0.55. ConclusionThe results indicated that the Turkish version of the Alarm Fatigue Assessment Questionnaire was sufficiently valid and reliable to measure alarm fatigue in nurses.

Enhancing Learning Personalization in Educational Environments through Ontology-Based Knowledge Representation

In the digital age, the personalization of learning has become a critical priority in education. This article delves into the cutting-edge of educational innovation by exploring the essential role of ontology-based knowledge representation in transforming the educational experience. This research stands out for its significant and distinctive contribution to improving the personalization of learning. For this, concrete examples of use cases are presented in various academic fields, from formal education to corporate training and online learning. It is identified how ontologies capture and organize knowledge semantically, allowing the intelligent adaptation of content, the inference of activity and resource recommendations, and the creation of highly personalized learning paths. In this context, the novelty lies in the innovative approach to designing educational ontologies, which exhaustively considers different use cases and academic scenarios. Additionally, we delve deeper into the design decisions that support the effectiveness and usefulness of these ontologies for effective learning personalization. Through practical examples, it is illustrated how the implementation of ontologies transforms education, offering richer educational experiences adapted to students’ individual needs. This research represents a valuable contribution to personalized education and knowledge management in contemporary educational environments. The novelty of this work lies in its ability to redefine and improve the personalization of learning in a constantly evolving digital world.