Grit in Second Language Learning and Teaching: Introduction to the Special Issue

This brief, introductory paper contextualizes the special issue in relevant literatures in psychology, education, and SLA. In addition to describing the rationale for the special issue and providing a preview of the papers included, we identify the major themes and questions raised by the authors. Balanced against the conceptual, measurement, and pedagogical issues is an argument for the applicability of the concept within SLA. Finally, we provide the implications of the special issue which should be considered in future research in L2 grit studies.

Ancient Wisdom, Stigmatised Knowledge, and Sacred Landscapes: Ontologies and Epistemologies of New Age Culture in Post-Soviet Russia

The four articles in this section deal with anthropological study of New Age beliefs and practices in post-Soviet Russia. They are in part the result of a joint German–Russian research project titled New Religious Cultures in Late Soviet and Post-Soviet Russia: Ideology, Social Networks, Discourses, supported by the German Research Foundation and the Russian Foundation for Basic Research. In this introductory paper I will briefly discuss the principal outcomes of this research as well as general analytical issues related to the field of New Age studies both in global and local (post-Soviet) contexts.

Diachronic Cognitive Linguistics: Past, present and future

Diachronic studies have played an increasingly important role in recent Cognitive Linguistics. This introductory paper provides an overview of some major lines of research in this field, starting with the inherently panchronic approach that characterizes most flavors of usage-based theory from Cognitive Grammar to recent complex adaptive systems approaches. In particular, the “constructionist turn” and the “quantitative turn” in Diachronic Cognitive Linguistics are discussed in detail. Diachronic Cognitive Linguistics is introduced as a multi-faceted, dynamic framework that aims at providing a holistic and nuanced picture of the complex interplay between language, cognition, and cultural evolution. In addition, this paper introduces the contributions to the present volume in some detail and discusses their relation to current research trends and paradigms within the broader framework of Diachronic Cognitive Linguistics.

Shared Mobility: Evolving Practices for Sustainability

This introductory paper to the Special Issue “Shared Mobility” aims (1) to present and differentiate the diversity of practices and services that constitute the shared mobility sector; (2) to emphasize the contribution of each published article; and (3) to identify knowledge gaps of knowledge and provide further research avenues. With the contribution from 29 authors affiliated to social sciences and transportation research institutions in seven countries (Sweden, Germany, Netherlands, Greece, Belgium, Norway, and Australia), new understandings of the potential, drivers, barriers, and limitations of diverse shared mobility solutions for a more sustainable society are presented. The common message across the special issue is that the shared mobility sector is constantly evolving, while aiming to attain sustainability goals. Several papers have taken a psychological approach to explain the adoption of shared mobility practices (e.g., carsharing), yet these findings may be context-dependent, which future research should further investigate (e.g., differences between platform-based and self-service modes). We also call for researchers to pay attention to how traditional transit services can be combined with newer shared mobility services (e.g., micro-mobility), but also to informal public transport systems, as we identify these as important developing areas.

Diachronic Cognitive Linguistics

Diachronic studies have played an increasingly important role in recent Cognitive Linguistics. This introductory paper provides an overview of some major lines of research in this field, starting with the inherently panchronic approach that characterizes most flavors of usage-based theory from Cognitive Grammar to recent complex adaptive systems approaches. In particular, the “constructionist turn” and the “quantitative turn” in Diachronic Cognitive Linguistics are discussed in detail. Diachronic Cognitive Linguistics is introduced as a multi-faceted, dynamic framework that aims at providing a holistic and nuanced picture of the complex interplay between language, cognition, and cultural evolution. In addition, this paper introduces the contributions to the present volume in some detail and discusses their relation to current research trends and paradigms within the broader framework of Diachronic Cognitive Linguistics.

Introduction. Youth violence: De-escalation strategies and socio-legal responses

Despite media suggestions that youth violence is the result of an epidemic of young thugs “out of control”, this paper argues that youth violence is emblematic of complex political, economic and socio-cultural conditions. This introductory paper discusses some of the key themes and articles from our special issue on Youth violence: De-escalation strategies and socio-legal responses, which is the result of a workshop held at the Oñati International Institute for the Sociology of Law in July 2019. It seeks to reflect the rich tapestry of factors, contexts and processes that can place young people at risk of offending, or, perhaps even more importantly, at risk of criminalisation, as presented in the special issue collection. We reflect on the range of perspectives presented across the special issue on youth violence and the de-escalation of such violence, which seek to advance knowledge, and identify strategies for regulating and preventing this behaviour.

An Introduction to Robotically Assisted Surgical Systems: Current Developments and Focus Areas of Research

Purpose of Review Robotic assistance systems for diagnosis and therapy have become technically mature and widely available. Thus, they play an increasingly important role in patient care. This paper provides an overview of the general concepts of robotically assisted surgical systems, briefly revisiting historical and current developments in the surgical robotics market and discussing current focus areas of research. Comprehensiveness cannot be achieved in this format, but besides the general overview, references to further readings and more comprehensive reviews with regard to particular aspects are given. Therefore, the work at hand is considered as an introductory paper into the topic and especially addresses investigators, researchers, medical device manufacturers, and clinicians, who are new to this field. Recent Findings The current research in Robotically Assisted Surgical Systems (RASS) increasingly uses established robotic platforms. To minimize the patient trauma while optimizing the dexterity of the surgeon, miniaturized instruments and semi-autonomous assistance functions are developed. To provide the surgeon with all necessary information in an adequate manner, novel imaging sensors as well as techniques for multimodal sensory feedback and augmented reality are investigated. The Surgical Data Science applies data management and processing approaches including machine learning on medical data to provide optimal, individualized and contextual support to the surgeon. Summary Robotic systems will significantly influence future patient care. Since they must fulfill manifold medical, technical, regulatory and economic requirements, their development calls for a close, active and interdisciplinary cooperation between stakeholders from hospitals, industry and science.

Research on Learners and Teachers of Mathematics and Science: Forerunners to a Focus on Teacher Educator Professional Growth

This introductory paper first reflects the genesis of research in mathematics and science teacher education. The analyses show a movement from foci of research in mathematics and science education from students to teachers, and then to teacher educators. Next, an overview of research in mathematics and science teacher education and its development is provided, including teacher educators’ growth. This is followed by a comparative look at the seven papers in this special issue through three lenses, focusing on who the teacher educators in these papers are, the practices which are the focus for development, and the contexts in which the professional growth is situated. The seven papers not only exemplify how teacher educators might critically and systematically reflect on their own growth, educate new teacher educators, and do corresponding research, but also demonstrate the considerable progress the research community has made with respect to the professional growth of mathematics and science teacher educators in the last decade. Finally, challenges and questions are raised, in particular in relation to raising the quality and quantity of proficient teacher educators in order to strengthen teacher education research, and to have enough human resources to offer more and better professional development opportunities and to support schools.

The Individual and the Organizational Model of Quantum Decision-Making and Learning: An Introduction and the Application of the Quadruple Loop Learning

The new Post Accelerating Data and Knowledge Online Society, or ‘Padkos’, requires a new model of decision-making. This introductory paper proposes a model where decision making and learning are a single symbiotic process, incorporating man and machine, as well as the AADD (ánthrōpos, apparatus, decider, doctrina) amalgamated diamond model of individual and organizational decision-making and learning processes. The learning is incorporated by using a newly proposed quadruple loop learning model. This model allows for controlled changes of identity, the process of creating and the sense-making of new mental models, assumptions, and reflections. The model also incorporates the recently proposed model of quantum decision making, where time collapse of the opted past and the anticipated future (explicitly including its time horizon) into the present plays a key role in the process, leveraging decision making and learning by human as well as artificial intelligence (AI) and machine learning (ML) algorithms.