Continuous changes in social demand and development provide an acute and continuous pressure on universities. The question is whether higher education institutions (HEI) in Ecuador deliver graduates with the competences to provide timely economic, ecological, and sustainable solutions. Additionally, HEIs should prepare graduates to find employment in a society characterized by greater uncertainty, extensive use of information technology, speed, risk, complexity and interdisciplinary work. To face this challenge, universities need lecturers to possess a mix of aptitudes, attitudes, and professional development in teaching, research, and services. Unfortunately, knowledge is sparse about the readiness of their pupils to function effectively in a rapidly changing and increasingly globalized environment. Accordingly, this study uses an explanatory sequential mixed-methods approach to explore the impact of lecturers’ aptitudes, attitudes, and professional development on teaching and student learning at the University of Cuenca. Lecturers’ perceptions about their aptitudes and their attitudes are higher than the students’ perceptions. Faculty representatives believe that untenured lecturers have a better attitude and aptitude than the tenured lecturers. A third part of lecturers have achieved one of the required criteria in research development. Students from biological sciences are more satisfied with their lecturers and the competence development that they receive than the students from social sciences or engineering. Understanding the likely implication of the variables, aptitudes, attitudes and professional development, on the quality of teaching and learning is fundamental for the design and carrying out of educational reforms.

The changes brought about in higher education by the Coronavirus disease (COVID-19) pandemic require effective action. Teachers must be trained to work on university platforms. The study allows us to analyse the current educational problems, which are found in many countries, not only in Ecuador. The research aimed to determine the virtual andragogical competencies of Ecuadorian university education during the COVID-19 pandemic. A mixed research approach was used. A quantitative analysis was applied first, followed by a qualitative analysis. The sample selection was participatory and non-probabilistic. The sample consisted of 1003 active higher education teachers in Ecuador. A questionnaire of 106 questions divided into four variables was applied. A multiple analysis of variance (MANOVA) was performed. The analyses demonstrated the need to apply four integral competencies. First the teacher must "Know how to be", through continuous ICT training. After the teacher has been trained, he/she must "Know". This process involves mastering educational technology. After updating knowledge, they must "Know how to live together". Develop critical and constructive communication. Then "Know how to do" by applying an effective guiding methodology. Teacher training under the competency-based approach is seen as a viable alternative.

Several concerted movements toward mathematical modeling have been seen in the last decade, reflecting the growing global relationship between the role of mathematics in the context of modern science, technology and real life. The literature has mainly covered the theoretical basis of research questions in mathematical modeling and the use of effective research methods in the studies. Driven by the Realistic Mathematics Education (RME) theory and empirical evidence on metacognition and modeling competency, this research aimed at exploring the interrelationships between metacognition and mathematical modeling and academic year level as a moderator via the SEM approach. This study involved 538 students as participants. From this sample, 133 students (24.7%) were from the first academic year, 223 (41.4%) were from the second and 182 (33.8%) were from the third. A correlational research design was employed to answer the research question. Cluster random sampling was used to gather the sample. We employed structural equation modeling (SEM) to test the hypothesized moderation employing IBM SPSS Amos version 18. Our findings confirmed the direct correlation between metacognition and mathematical modeling was statistically significant. Academic year level as a partial moderator significantly moderates the interrelationships between the metacognitive strategies and mathematical modeling competency. The effect of metacognition on mathematical modeling competency was more pronounced in the year two group compared to the year one and three groups.

Realistic Mathematics Education (RME) has gained popularity worldwide to teach mathematics using real-world problems. This study investigates the effectiveness of elliptic topics taught to 10th graders in a Vietnamese high school and students' attitudes toward learning. The RME model was used to guide 45 students in an experimental class, while the conventional model was applied to instruct 42 students in the control class. Data collection methods included observation, pre-test, post-test, and a student opinion survey. The experimental results confirm the test results, and the experimental class's learning outcomes were significantly higher than that of the control class's students. Besides, student participation in learning activities and attitudes toward learning were significantly higher in the RME model class than in the control class. Students will construct their mathematical knowledge based on real-life situations. The organization of teaching according to RME is not only a new method of teaching but innovation in thinking about teaching mathematics.

For biology students, the diversity, complexity, and abundance of content in this field yield a heavy study load. Hence, appropriate learning strategies are key in supporting learners’ academic success. In biology, the factors gender and interest hold a unique position within the natural sciences, as there is an academic imbalance to the disadvantage of male students. In the present study, we examined the influence of gender and interest as well as its interdependences on the students’ use of learning strategies for biology learning. A total of 180 seventh through tenth grade students (Mage=14.47; SD=1.35; 60% female) from four general-track secondary schools located in Germany participated in this study. Data on the students’ level of interest and the use of learning strategies in biology lessons were collected. We used multivariate analysis of covariance with the students’ age as the covariate to analyse our data. Results revealed a significant effect of gender on the students’ use of the learning strategies rehearsal, organisation, effort, and time management. With regard to elaboration and effort, the effects of interest were found to be significant. The gender gap regarding learning strategy use was narrower for students with high levels of interest. These findings might have implications for beneficial teacher behaviour in biology.

The article discusses the topical issue of a model of digital competencies for a future teacher. The analysis of the composition and structure of the most relevant models of digital competencies of a citizen and a modern teacher is carried out. In addition, the article reveals approaches to the formation of the content of digital competence, and provides the results of an empirical study, which consists in analyzing the results of a survey of practicing teachers and teacher-training students in order to identify the most demanded digital competencies of a future teacher. The article substantiates the authors’ content of the competence of a future teacher, a university student. The purpose of this article is to develop a theoretical model of digital competence of a future teacher, taking into account the dynamic technologisation of the modern world and the peculiarities of Russian education, based on an analysis of approaches to determining the content of its digital competencies. According to the analysis of studies, the issue of teachers’ digital competence is not sufficiently disclosed. Numerous studies on digital competencies of a person, teacher, etc. do not fully solve the problem of assessing the digital competence of future teachers.

During didactic interactions, teachers and students employ competencies and skills that correspond functionally to one another, and several models propose to typify didactic performances in higher education. For this study, we chose the didactic performance interbehavioral model as the substantive theory to identify six pairs of didactic performance criteria through self-evaluations from graduate students. These included: Competency exploration–precurrent learning behaviors, Criteria explicitness–Criteria identification, Illustration–Participation, Practice supervision–Relevant practice, Feedback–Improvement, and Evaluation–Application.309 Peruvian students from an in-person postgraduate course in Education Sciences filled out two scales (via Google Forms) to assess teacher-student performance criteria during online classes. Convergent and divergent validity were obtained separately for six teacher/student performance constructs through a confirmatory analysis using LISREL 8. Moreover, differences according to sex were only significant for the Illustration teacher criterion (favoring men) and the Application student criterion (favoring women). Students rated Explicitness of criteria and Illustration as the teacher performance criteria most frequently seen during online classes. On the other hand, Criteria identification ranked the highest in terms of the students’ performance criteria, followed by Feedback–Improvement. Another conclusion was that the didactic performance interbehavioral model could be empirically supported by the two self-assessment questionnaires, which yielded good convergent and divergent validity of constructs.

The study focused on generational differences in teachers’ professional competencies (interaction styles, teaching styles and didactic competencies) and motivation for the teaching profession. A total of 462 teachers (20 students with at least a bachelor’s degree; age: M = 43.36, SD = 11.05) participated in the study. The Questionnaire on Teacher Interaction (Slovak version), the Slovak Teaching Style Questionnaire, the Didactic Competencies Questionnaire and the Scale of Motivations for Choosing Teaching as a Career were administered. Teachers were divided into generations (Baby Boomers, born up through 1964; Generation X, born 1965 – 1980; Generation Y, born 1981 – 1996; Generation Z, born 1997 and later). The main finding of the study was that there were significant generational differences in professional competencies but no differences in motivation for the teaching profession. On the other hand, there were strong preferences for the leadership, helpful, student-teacher responsibility, understanding interaction styles and the supporting teaching style. Baby Boomers were also knowledge-oriented, Generations X and Y also goal-oriented, and Generation Z also preferred a managerial style. From didactic competencies, Baby Boomers were best in self-reflection and the realization of teaching; Generations X and Y were best in self-reflection and maintaining a positive classroom climate, and Generation Z was good in the realization of teaching.