Remote Teaching in Professor Training: Three Latin American Experiences in Times of COVID-19 Pandemic

The subject matter has been based on three systematizations of experiences in teacher training through remote teaching, during the COVID-19 pandemic of 2020–2021. They were developed in IES in Brazil, Ecuador, and Peru. The objective has been to show the experiences implemented to build the teachers’ pedagogical knowledge, from online teaching practices. The theoretical framework has been the theory of collaborative and developmental learning, according to L. S. Vigotski and his followers. The work methodology has been the systematization of experiences, according to Jara and others. The results of the Brazilian experience show how it is possible for students of the degree in pedagogy to acquire didactic knowledge and develop skills, through collaborative work in virtual rooms. The Ecuadorian experience shows the effectiveness of teaching focused on autonomous work, which is based on asynchronous activities. The results of the experience in Peru show how asynchronous accompaniment is an effective means for guidance and sustained feedback by the trainer, with an impact on the process of construction of a scientific text and on the productivity of the doctoral student in Education.

The main approaches to the organization of research activities in primary education in the Republic of Kazakhstan

This article discusses the main approaches to organizing research activities, forms and methods of organizing research activities in the course of the study of "Natural Science" in the elementary school, allowing the formation of the pedagogical process on the basis of developmental learning. Authors consider that introducing elementary school students to research activities should be focused on their own activities.

INTRODUCTION OF ELEMENTS FROM PROBABILITY THEORY IN THE EDUCATION IN MATHEMATICS FOR PRIMARY SCHOOL

The article considers the prerequisites for the inclusion of problems with elements of probability theory in mathematics education in grades 1-4. This type of task is generally not present in the compulsory curriculum in mathematics in primary school, but they could be used in classes for compulsory, extended, and additional training, thus creating conditions for implementing developmental learning. Some theoretical statements about the theory of probabilities are systematized, related to the tasks included in the constructed and approbated methodological system of work. Some of its characteristics are presented. This article offers some of the tasks for grades 1-4. A longitudinal empirical study was conducted with students of the 1-4th grade in the period 2015 to 2020. The results of the outgoing diagnostics in 4th grade are processed by mathematical and statistical methods and are presented graphically. They show that fourth-graders successfully solve problems with elements of probability theory, and a primary school teacher could use them in the systematic work in mathematics at the initial stage of the basic educational degree. Solving non-standard mathematical problems is an element of probability theory that helps arouse interest, motivate students, and place them in an active cognitive position by solving problem situations in the pedagogical interaction in mathematics in primary school.

How to Support Student Academic Success

21st-century medical education is focused on healthcare equity by creating opportunities for students who are from underrepresented minority groups and non-traditional backgrounds to pursue medicine. Institutions that have spearheaded this movement have found a wide variation in the baseline knowledge, skills, and attitudes of their incoming medical students. Ensuring that these students meaningfully transition into and progress through medical school without negatively impacting their performance or wellness is a challenge that needs to be strategically addressed. This chapter will outline the challenges associated with the transition of matriculating medical students, the importance of a curriculum that promotes equity, the role of a developmental learning environment in supporting student academic success, and guidelines to use coaching to enhance student engagement.

Balancing “Critique for Improvement” With “Critique for Emancipation” in Management Learning and Education

Promoting the capacity for critical reflection is a pivotal part of management learning and education. Based on the concept of developmental learning, the purpose of this paper is to explore and outline two types of critical reflection: critique for improvement and critique for emancipation. Critique for improvement is based on a performative intent and is aimed at using critical reflection to improve organizational practices. Critique for emancipation is based on a critical performative intent and focuses on emancipation from repressive ideological and social conditions that place unnecessary restrictions on the development of human consciousness. In this paper, it is argued that managers and leaders enrolled in management education need to be exposed to both critique for improvement and critique for emancipation. A heuristic conceptual framework is therefore proposed, along with strategies for how to balance the two types of critique in management learning and education and propositions to be explored in further research.

Neural network modeling of altered facial expression recognition in autism spectrum disorders based on predictive processing framework

The mechanism underlying the emergence of emotional categories from visual facial expression information during the developmental process is largely unknown. Therefore, this study proposes a system-level explanation for understanding the facial emotion recognition process and its alteration in autism spectrum disorder (ASD) from the perspective of predictive processing theory. Predictive processing for facial emotion recognition was implemented as a hierarchical recurrent neural network (RNN). The RNNs were trained to predict the dynamic changes of facial expression movies for six basic emotions without explicit emotion labels as a developmental learning process, and were evaluated by the performance of recognizing unseen facial expressions for the test phase. In addition, the causal relationship between the network characteristics assumed in ASD and ASD-like cognition was investigated. After the developmental learning process, emotional clusters emerged in the natural course of self-organization in higher-level neurons, even though emotional labels were not explicitly instructed. In addition, the network successfully recognized unseen test facial sequences by adjusting higher-level activity through the process of minimizing precision-weighted prediction error. In contrast, the network simulating altered intrinsic neural excitability demonstrated reduced generalization capability and impaired emotional clustering in higher-level neurons. Consistent with previous findings from human behavioral studies, an excessive precision estimation of noisy details underlies this ASD-like cognition. These results support the idea that impaired facial emotion recognition in ASD can be explained by altered predictive processing, and provide possible insight for investigating the neurophysiological basis of affective contact.