A ‘Circulation Model’ of Education: A Response to Challenges of Education at the New University

The protests at the Universiteit van Amsterdam (UvA) that began in November 2014 as a reaction to severe cuts in the department of humanities have sparked a broad debate nationally and even internationally about the future of the university and the values and ideals that should define it. It turned out that dissatisfaction was much more widespread in different parts of the university than some had previously thought, and many turned out to share the concerns first put forward in the humanities department, to extend beyond the borders of the university and the country. Increasing focus on getting as many students as possible to graduate promptly has shifted the attention ever more towards quantitative indicators for the evaluation of education rather than qualitative ones, leading to raising the question of whether the quality of education has suffered from these priorities. How did this come about and what could be done to improve this quality? In this essay we briefly consider the history of the university as an institute that aims to combine research and education, subsequently mentioning some more recent challenges for the university, finishing it with a brief description of a ‘circulation model of education’ that we consider to be a fruitful source for answering some of the challenges we identified from the current discussions. In this model circulation rather than unidirectional traffic occurs between different elements: circulation between research and education, between insights of teachers and of students, between disciplines, between general and contextualized knowledge, between disciplinary and experi- ential knowledge, between doing research and (meta-)reflection upon research, and so on

The relationship between cognitive functioning and psychopathology in patients with psychiatric disorders: A transdiagnostic network analysis

Background: Patients with psychiatric disorders often experience cognitive dysfunction, but the precise relationship between cognitive deficits and psychopathology remains unclear. We investigated the relationships between domains of cognitive functioning and psychopathology in a transdiagnostic sample using a data-driven approach. Methods: Cross-sectional network analyses were conducted to investigate the relationships between domains of psychopathology and cognitive functioning and detect clusters in the network. This naturalistic transdiagnostic sample consists of 1016 psychiatric patients who have a variety of psychiatric diagnoses, such as depressive disorders, anxiety disorders, obsessive-compulsive and related disorders, and schizophrenia spectrum and other psychotic disorders. Psychopathology symptoms were assessed using various questionnaires. Core cognitive domains were assessed with a battery of automated tests. Results: Network analysis detected three clusters that we labelled: General psychopathology, substance use, and cognition. Depressive and anxiety symptoms, verbal memory, and visual attention were the most central nodes in the network. Most associations between cognitive functioning and symptoms were negative, i.e. increased symptom severity was associated with worse cognitive functioning. Cannabis use, (subclinical) psychotic experiences, and anhedonia had the strongest total negative relationships with cognitive variables. Conclusions: Cognitive functioning and psychopathology are independent but related dimensions, which interact in a transdiagnostic manner. Depression, anxiety, verbal memory, and visual attention are especially relevant in this network and can be considered independent transdiagnostic targets for research and treatment in psychiatry. Moreover, future research on cognitive functioning in psychopathology should take a transdiagnostic approach, focusing on symptom-specific interactions with cognitive domains rather than investigating cognitive functioning within diagnostic categories

The relationship between cognitive functioning and psychopathology in patients with psychiatric disorders: A transdiagnostic network analysis

Background Patients with psychiatric disorders often experience cognitive dysfunction, but the precise relationship between cognitive deficits and psychopathology remains unclear. We investigated the relationships between domains of cognitive functioning and psychopathology in a transdiagnostic sample using a data-driven approach. Methods Cross-sectional network analyses were conducted to investigate the relationships between domains of psychopathology and cognitive functioning and detect clusters in the network. This naturalistic transdiagnostic sample consists of 1016 psychiatric patients who have a variety of psychiatric diagnoses, such as depressive disorders, anxiety disorders, obsessive-compulsive and related disorders, and schizophrenia spectrum and other psychotic disorders. Psychopathology symptoms were assessed using various questionnaires. Core cognitive domains were assessed with a battery of automated tests. Results Network analysis detected three clusters that we labelled: General psychopathology, substance use, and cognition. Depressive and anxiety symptoms, verbal memory, and visual attention were the most central nodes in the network. Most associations between cognitive functioning and symptoms were negative, i.e. increased symptom severity was associated with worse cognitive functioning. Cannabis use, (subclinical) psychotic experiences, and anhedonia had the strongest total negative relationships with cognitive variables. Conclusions Cognitive functioning and psychopathology are independent but related dimensions, which interact in a transdiagnostic manner. Depression, anxiety, verbal memory, and visual attention are especially relevant in this network and can be considered independent transdiagnostic targets for research and treatment in psychiatry. Moreover, future research on cognitive functioning in psychopathology should take a transdiagnostic approach, focusing on symptom-specific interactions with cognitive domains rather than investigating cognitive functioning within diagnostic categories