Background: Studies of socio-scientific decision-making in times of crisis are in their infancy. This study investigates how minoritized youth engage and make sense of newly developed COVID-19 vaccines and their intersections with the evolving multi-pandemic. Guided by theories of lively data, data sense and epistemic injustice, we center the…

This study examines the influence of social contexts on the decision to either complete or leave the first vocational education and training (VET) position among young German apprentices--an aspect that has received little attention in dropout research. In particular, the role of three reference groups--parents, friends and classmates at…

In recent decades, school choice has become a characteristic feature of urban school systems and, like students, teachers must choose among schools with various characteristics. Such decisions become new sites for teachers to enact their professional identity. This study uses qualitative data to explore the identity negotiations of 26 teachers…

School innovativeness determines the vitality of schools as learning organizations. However, schools markedly vary in innovativeness, and research is needed to account for this variability. The present study provides a theoretical account of this variability based on an uncertainty management perspective. Conceptualizing participative…

This research was carried out to analyze the efficiency of research in Indonesian universities and explore performance differences between knowledge areas. Data Envelopment Analysis (DEA) was used to evaluate the efficiency based on the data of 47 universities in the "Mandiri" cluster between 2014 and 2018 and 11 research fields…

College students make job decisions without complete information. As a result, they may rely on misleading heuristics ("interesting jobs pay badly") and pursue options misaligned with their goals. We test whether highlighting job characteristics changes decision making. We find increasing the salience of a job's monetary benefits…

This article uses scientific methods and means to evaluate the value, elements, and processes of physical education, consistent with preset evaluation indicators through sample calculation, and then derives the characteristics of decision-making, the objectivity of indicators, the order, and other characteristics of the process. The authors have…

Learning engagement is an essential indication to define students' learning pacification in the class, and its automated identification technique is the foundation for exploring how to effectively explain the motive of learning impact modifications and making intelligent teaching choices. Current research have demonstrated that there is a direct…

This qualitative study delves into the intricate landscape of general chemistry students' study strategy decision-making processes, examining the guiding factors that shape their choices. Past work in chemistry education has shown that students' study behaviors are dynamic in nature. Employing self-regulation theory, the study aims to provide a…

High dropout rate exists universally in massive open online courses (MOOCs) due to the separation of teachers and learners in space and time. Dropout prediction using the machine learning method is an extremely important prerequisite to identify potential at-risk learners to improve learning. It has attracted much attention and there have emerged…

Students' career decision is a relevant topic in career development with scholars and practitioners aiming at understanding which factors can contribute to students decision-making to support them in their career path. In this study, we argue that facilitating conditions can positively influence the career decisions of students. This relationship…

Collaborative design approaches have been increasingly adopted in the design of learning technologies since they contribute to develop pedagogically inclusive and appropriate learning designs. Despite the positive reception of collaborative design strategies in technology-enhanced learning, little attention has been dedicated to analyzing the…

Previous psychophysical studies reported a positive aftereffect in tactile temporal order judgments, which can be explained by the Bayesian estimation model ('Bayesian calibration'). We investigated the relationship between Bayesian calibration and autistic traits in participants with typical development (TD) and autism spectrum disorder (ASD).…

In industrialized societies, adults exhibit stable preferences for the types of people, animals, and entities they feel moral concern for (Crimston et al., 2016). Only one published study to date has utilized the moral circles paradigm to examine these preferences in children, finding that as children age, their preferences shift to become more…

Early detection of hearing loss leads to early intervention-related decisions. Most children with cochlear implants (CIs) are born to hearing parents. Prior evidence suggests that this increased access to oral communication and the "hearing" world means oral communication is prioritized by hearing parents. Language plays a key role…