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"learning"

Introduction. In a situation of instability and uncertainty around the world, ambiguity of information about the expectation of future events, it is very important to equip a young person with the skills of seeing his/her future, qualitatively new characteristics, demanded competencies that meet the needs of society and today’s students as the future employees. The solution of the tasks facing vocational education is seen in a new architecture of education, the main tool of which is construction of clear trajectory of learning and development. Such a trajectory is implemented in professional future scenarios, which represent forecasting student’s activity unfolding in time and space. Professional future forecasting scenarios are designed to regulate the choice of strategies and tactics of behaviour in accordance with personal meanings and goals that determine the direction of the student’s activities, taking into account factors affecting their alignment. Forecasting the professional future, which determines the socio-professional success of participants of educational and professional activity, is an actual scientific and practical task facing education today. Aim. The present research aimed to develop scenarios for the professional future as a fundamental basis for students to build their personal trajectory of professional development both in the process of studying in an educational organisation and at the workplace. Methodology and research methods. The leading idea of the research is the concept of forecasting the professional future, which is based on the correlation of knowledge and ideas about future professional activity with the reflection of one’s own professionally significant qualities, attitudes and value orientations. The basic idea of the current study is the concept of personalised education, it provides vectors for the development of the student activity and his/her transition from the current state to the desired by designing the logic of advancement along its own trajectory of professional development. As a leading approach to forecasting the professional future, the author applied the cognitive approach as a process in a person’s mind about future professional activity, which is inextricably linked with cognitive categories: interests, attitudes, knowledge, beliefs, and value orientations of a person. Self-awareness of the future is based on the correlation of knowledge about a person’s future professional activity with the reflection of one’s personal meanings, significant qualities, attitudes and value orientations, which are the essence of a person’s cognitive activity. Scenario planning was employed as the main research method. The scenario as a method and as an effective tool for planning a personal trajectory of professional development fixes a standard set of knowledge about the object, determines the direction and time perspective of life plans, and thereby ensures predictability and meaningfulness of actions in preparation for an uncertain future. When developing a structure of a typical forecasting scenario for the professional future of a student, the methods of design, modelling, forecasting, generalisation and classification were applied. Results. The author has developed the structure of a typical forecasting scenario for the professional future of a student. It is established that this structure consists of four content blocks: 1) the desired image of the professional future of the student; 2) analysis of the student potential in accordance with the desired image; 3) the process of transition of the person from the current state to the desired (implementation of the trajectory of development, control); 4) evaluation of results (analysis of achievements, causes and consequences of changes; correction of the vector of development). Each block is represented by scenario structures and the results that need to be obtained in the process of its implementation. Scientific novelty of the conducted research lies in development and arrangement of personal professional programmes of the student, taking into account such parameters that reflect the connection of mental representations about the future with the form available for direct observation. Practical significance. The proposed structure of the forecasting scenario for the professional future is intended for students, who have a meaningful approach to their future and want to purposefully move towards achieving it. The obtained results will contribute to the personalisation of training through building by students their own development scenario, self-realisation, which will increase educational and professional success. The study sets specific tasks for educational organisations, and employers, who are really interested in the professional training of successful specialists and are focused on long-term cooperation. © 2024 Russian State Vocational Pedagogical University. All rights reserved.

This study investigated the effect of project-based cooperative learning in an introductory special education class on disability empathy. Disability empathy is an important competency for pre-service teachers who teach children with disabilities. The subjects of this study were 49 university students who were completing a qualification course for pre-service teachers who teach children with disabilities. First, through theoretical learning, interest and understanding of disabled infants and toddlers were raised, and educational program production activities were carried out to increase understanding of disabilities. Project-based cooperative learning was conducted for a total of 30 hours over 15 weeks. As a result of the study, it was found that the disability empathy of pre-service early childhood teachers significantly increased after the implementation of project-based cooperative learning, and the active interaction item score was the highest in the class satisfaction area. As a result, it was found that project-based cooperative learning has a significant effect on pre-service early childhood teachers' disability empathy and promotes active interaction. The significance of this study is that it empirically verified the effect of project-based cooperative learning on preservice teachers’ disability empathy. It is hoped that the results of this study will be used as teacher education materials to improve pre-service teachers’ disability empathy. © 2024 by the author; licensee learning Gate.

Purpose: Researchers have previously utilized the project-based 6E learning model and the problem-based quantum learning model in various courses, such as the instructional principles and methods course and the character and values education course. These models were evaluated for their impact on students in different subjects, including developing skills, values, democracy perceptions, attitudes towards cooperative learning, metacognitive thinking skills and teacher self-efficacy perceptions. In 2023, Ökmen, Sahin and Kiliç reported positive outcomes, while Sahin and Kiliç reported similar findings in 2023a, 2023b and 2023c. There has been no investigation into how the models affect students' critical thinking and academic literacy. This study seeks to determine the impact of both models on these skills, gain more insight into their effectiveness and determine which is more beneficial. The results will guide the decision-making process for the character and values education course and other courses in the future. Specifically, this research aims to compare the effects of the project-based 6E learning model and problem-based quantum learning model on critical thinking and academic literacy. Design/methodology/approach: This research employed the Solomon four-group experimental design to assess the efficacy of the applications. Prior knowledge and experience of the participants were evaluated through pretests. However, it should be noted that pretests may impact posttest scores either positively or negatively. For instance, participants taking the test multiple times may become more interested or attentive to the subject matter. The Solomon four-group design was deemed appropriate to analyze the influence of pretesting. This design enables the investigation of the application effect, pretest effect and interactive effect of pretest and application (van Engelenburg, 1999). Findings: It was concluded that the project-based 6E learning model was effective in developing critical thinking in students, but not significantly. It was concluded that the problem-based quantum learning model significantly improved students' critical thinking skills. It was concluded at the end of the study that the project-based 6E learning model notably enhanced students' academic literacy. It was concluded that the problem-based quantum learning model had a significant positive impact on students' academic literacy. According to research, it has been determined that the problem-based quantum learning model is superior in enhancing critical thinking abilities compared to the project-based 6E learning model. Nevertheless, there seems to be no detectable disparity in the academic literacy advancement of pupils between the problem-based quantum learning model and the project-based 6E learning model. Originality/value: There has been no investigation into how the models affect students' critical thinking and academic literacy. This study seeks to determine the impact of both models on these skills, gain more insight into their effectiveness and determine which is more beneficial. The results will guide the decision-making process for the character and values education course and other courses in the future. © 2024, Şeyma Şahin and Abdurrahman Kılıç.

Dual Vocational Training (DVT) is a recently implemented policy in Spain that is established as a new modality within the Vocational Training system. Despite the fact that this training modality has shown a sustained growth during the last years, there are certain complexities that question the quality and success of its development. This research presents the opinion of different actors involved in the different areas of responsibility of VET and VETD in Andalusia. Through the development of semi-structured interviews, the aim is to know the perception of the actors involved in VET about the state of the Andalusian VET in the Higher Level Training Cycles (HLTC), and to identify the limitations and potentialities offered to young people by the dual mode with respect to the traditional mode of VET in Andalusia. The results obtained indicate that the development of this policy strengthens the link between the students and the company and facilitates a more specific and deeper learning process, thus increasing their chances of labor market insertion. However, there are some limitations in terms of the selection criteria established for students wishing to study vocational training, the coordination between the educational center and the company, the remuneration of students and the functions performed by vocational training students in the company. © 2024 Univ Nacional de Educacion a Distancia (UNED). All rights reserved.

There is currently a teacher shortage in remote areas in China, as the willingness of government-sponsored students to enter the profession continues to decrease because of factors such as high work pressure and relatively low salaries. We investigated the influence of professional commitment on willingness to enter the teaching profession among 395 government-sponsored teachers’ college students majoring in art education, and assessed the mediating role of learning satisfaction in this relationship. The results indicated there was a significant positive correlation between professional commitment and teaching willingness. Additionally, learning satisfaction played a mediating role in this relationship. Our findings contribute to understanding of the relationships among professional commitment, teaching willingness, and learning satisfaction among teachers’ college students majoring in art education within the context of Chinese higher education. The results also offer practical insights for educators to enhance the willingness of art education majors to enter the teaching profession. © 2024 Scientific Journal Publishers Limited. All Rights Reserved.

Emotion level of the students during their academic sessions has a significant effect on their performance and overall academic grades. The most pre-eminent way of evaluating emotion levels is by analysing the EEG signals obtained from the brain. This paper showcases the experimental study on obtaining the Electroencephalogram (EEG) signals from the students during their academic sessions and classifying it to the types of emotions using machine learning algorithms. This paper explores the method of how the data collection session is conducted and recorded. The data collected is then compiled and divided for the machine learning algorithms. Furthermore, this paper proposed a method of acquiring the emotion labels without prior inducing by using a standard normal distribution method. Finally, this paper also proposed a deep learning neural network model and machine learning models that can be used to determine the emotion level from the EEG signals. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

This study provides an insightful analysis of Peruvian political approval rating sentiment, using Twitter data and applying various ranking algorithms. Despite the challenging context of political instability, the research achieved a high degree of accuracy, with Linear SVC classification leading the way. The detailed breakdown of the results and the evident correlation between tweet sentiment and real-world events provide compelling validation of the chosen methods. The authors’ exploration of various machine learning techniques amplifies the relevance of the study. The research collected 8274 tweets from the @presidenciaperu account, employing API v2 during the month of April 2023, regarding the government’s political approval rating, with the objective of identifying the accuracy of Machine learning algorithms NB multinomial, NB Bernoulli, Support Vector linear classifier, Logistic regression classifier and KNeighbors classifier from the sentiment analysis of Tweets in Spanish language. Tweets were processed using PLN, words were vectorized with the bag of words algorithm, allowing to build a vocabulary of 5773 tweets with negative (0) and positive (1) polarity in tweets with the support of Python and BETO. Five machine learning sentiment analysis techniques were compared, resulting in an accuracy of 96.3636% (F1Score = 0.98) for the linear SVC, an accuracy of 95.3246% (F1Score = 0.98) for the KNeighbors classifier, an accuracy of 95.2380% (F1Score = 0.98) for the logistic regression classifier, and a tie in accuracy of 94.8051% for NB multinomial and NB Bernoulli. The results indicate that the optimal algorithm was the Support Vector linear classifier with 96.3636% accuracy applied in a Peruvian political approval index environment. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

Engineering education faces complex constraints, not only future challenges, such as pandemic situations have to be taken into account, but also the heterogeneous pre-knowledge of students. Thus, the learning objectives should not only focus on complex knowledge or technical respectively problem-solving skills development but also on integrating sustainable aspects and resource efficiency. In context of individual needs of learners, it is also evident to consider gender and diversity aspects. Flexible and hybrid learning paths with hands-on experiences on cyber-physical systems may be appropriate to enable individual competence development. Thus, in this contribution the technical architecture and functional features of cyber-physical systems are analyzed to develop learning scenarios that meet the different requirements. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

This research aims to learn to explore strategies and skills in STEAM education by applying a systematic literature review. An SLR methodology focused on education, is applied, selecting 48 articles from the Scopus Database. The results allow us to identify the importance of this new interdisciplinary educational approach, fostering meaningful learning among students by implementing active project-based methodologies to solve real-life problems and comprehensively address more complex scientific phenomena. In conclusion, STEAM education, as an interdisciplinary educational approach, integrates science, technology, engineering, art, and mathematics to solve real-world problems. It proposes incorporating strategies such as PjBL (Project-Based learning), gamification, digital literacy, autonomy, intrinsic motivation, collaboration, and continuous and professional teacher training. It is crucial to promote creativity and critical thinking in students, enabling problem-solving through fostering ICT skills, integrating digital tools, multidisciplinarity, computational thinking, and robotics, as well as social and emotional skills. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.

This paper explores the concept of cooperation between Vocational Training Institutions (VTIs) and the industry in the context of curriculum development in Laos. It analyzes the current state of VTI-industry partnerships and their challenges, aiming to identify best practices and recommendations for establishing effective collaboration between the two entities. Through a review of relevant literature on vocational education and training and VTI-industry partnerships in developing countries, as well as case studies of successful partnerships in Laos and the region, this research examines the factors contributing to successful collaboration. The research adopts a descriptive qualitative approach, utilizing expert interviews and employing Mayring's deductive categorization for content analysis. The sample for this research consists of three experts in the field of vocational education and training and skill development. To analyze the qualitative data collected from the expert interviews, Mayring's Structured Content Analysis (SCA) method is employed. Mayring's SCA is a systematic and structured approach to analyzing qualitative data. The findings reveal a consensus among experts regarding the inadequate level of collaboration between the industrial sector and VTIs in Laos, impacting the quality of graduates. Experts recommend actively engaging industry professionals in curriculum development and emphasize the need for government support through incentives and supportive policies. The paper's insights will benefit policymakers, VTI administrators, and industry stakeholders in Laos and other developing countries, fostering effective partnerships for curriculum development and supporting the growth of a skilled workforce to meet industry demands and promote sustainable economic development in Laos. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.