To meet the growing demand for sustainable education, many universities have begun to integrate sustainability into their curricula. Additionally, universities are increasingly investing in digital technologies that enable them to deliver educational content in a more sustainable manner. The research results showed that students’ interactions with teachers in a hybrid environment, such as in a STEM university, can have a significant impact on student performance. The research results indicated a positive relationship between the educational environment and the well-being perceived by the students. The results showed that when the educational environment was improved, the students felt a greater sense of well-being. Furthermore, the results showed that students who felt a greater sense of well-being also perceived the educational environment to be more positive, and an improved educational environment can lead to an increased sense of well-being for students. This could be achieved by creating a more supportive and motivating educational environment, which could, in turn, lead to improved academic performance and mental health. The research found that there was a negative correlation between the students’ perceived assessment and evaluation related to their well-being. This suggests that students who felt that their assessment and evaluation were unfair or inappropriate were more likely to have poorer well-being than those who perceived their assessment and evaluation as fair and appropriate.
In recent years, teachers in various fields, such as science, mathematics, linguistics and others, have been interested in alternative learning strategies as opposed to traditional activities, in order to help students to examine their learning progress. The integration of computational thinking in teaching activities, after returning to face-to-face activities, can meet the needs of students during the COVID-19 pandemic. In this research, two samples of students in their first year of study were recruited for the teacher training program validation for computational skills in STEM education. The training model offers an explanation for the differences between the following two sets of data: the CT modules used in a substantial number of teacher workshops, and the results obtained, which are closely related to the argument that teachers can support students’ lifelong learning by developing computational thinking activities. The results related to the students’ scores may have contributed to their improvement in computational thinking skills and it could be one of the best examples of how to change the ways of learning about 21st century skills and sustainable education.
With the last two decades, critical thinking has become imperative for integrated students at the workplace. Critical thinking includes the component skills of analyzing arguments, making inferences using inductive or deductive reasoning, judging or evaluating, making decisions or solving problems. Involves both cognitive skills and dispositions, which can be seen as attitudes or habits of mind, include flexibility, a propensity to seek reason, a desire to be well informed, a respect for and willingness to entertain different viewpoints. This paper describes a study to investigate the impact of critical thinking strategies applied to work with students, to develop critical thinking skills. The research was conducted about 6 months, in a technical university, focuses on developing critical thinking skills in part by using complex contextualized problems. Upon conclusion of the study and analysis of the data, we observed significant gain in those skills, measured with the standard instrument: Watson Glaser Critical Thinking Appraisal (WGCTA). The WGCTA has been used to compare students on entry and exit program, make comparisons between different levels and investigate the correlation between critical thinking and variables. All test items include problems and arguments based on situations experienced in the daily workplace, classrooms, social media and others. The tool has five subsets designed to evaluate different elements of critical thinking, comprise deduction, inference, the relevance of assumptions, interpretation, and evaluation of arguments.
Teaching and Learning International Survey - TALIS (2019) reports that classroom climate is an important factor in student outcomes. The process of creating a productive learning environment in schools is a challenging dimension of students' autonomy. Related to school autonomy, the PISA results (2013) discovered that levels of school autonomy is related to student performance across some PISA countries (positive correlations), but is depending on some resources, especially when de autonomy significance is combined with accountability. The most used definition of learner autonomy is closely identified with the personal meaning of what the learner sees as important for itself and with the responsibility to develop new skills to progress in the metacognitive process, to be reflective in all itself actions, and to be motivate and self-aware. In this study, the interest is focused on the teachers and their implications on students' autonomy development. The implications of the learning interactions between teacher and students, the categories of teaching styles that influence the development of students' autonomy, the characteristics of teachers who develop autonomy (seniority in teaching, the quality of mentors, the subject field of teaching) are analyzed. The results emphasize that supportive teachers use quality educational relationships, stimulate students 'involvement in their own learning, and do not necessarily depend on teaching experience, teachers' age, time spent with students or the category of subject field teaching.
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