Background The Self-Expression Emotion Regulation in Art Therapy Scale (SERATS) was developed as art therapy lacked outcome measures that could be used to monitor the specific effects of art therapy. Although the SERATS showed good psychometric properties in earlier studies, it lacked convergent validity and thus construct validity. Method To test the convergent validity of the SERATS correlation was examined with the EES (Emotional Expressivity Scale), Emotion Regulation Strategies for Artistic Creative Activities Scale (ERS-ACA) and Healthy-Unhealthy Music Scale (HUMS). Patients diagnosed with a Personality Disorder, and thus having self-regulation and emotion regulation problems (n = 179) and a healthy student population (n = 53) completed the questionnaires (N = 232). Results The SERATS showed a high reliability and convergent validity in relation to the ERS-ACA approach strategies and self-development strategies in both patients and students and the HUMS healthy scale, in patients. Hence, what the SERATS measures is highly associated with emotion regulation strategies like acceptance, reappraisal, discharge and problem solving and with improving a sense of self including self-identity, increased self-esteem and improved agency as well as the healthy side of art making. Respondents rated the SERATS as relatively easy to complete compared to the other questionnaires. Conclusion The SERATS is a valid, useful and user-friendly tool for monitoring the effect of art therapy that is indicative of making art in a healthy way that serves positive emotion regulation and self-development.
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Although self-regulation is an important feature related to students’ study success as reflected in higher grades and less academic course delay, little is known about the role of self- regulation in blended learning environments in higher education. For this review, we analysed 21 studies in which self-regulation strategies were taught in the context of blended learning. Based on an analysis of literature, we identified four types of strategies: cognitive, metacognitive, motivational and management. Results show that most studies focused on metacognitive strategies, followed by cognitive strategies, whereas little to no attention is paid to motivation and management strategies. To facilitate self-regulation strategies non-human student tool interactional methods were most commonly used, followed by a mix of human student-teacher and non-human student content and student environment methods. Results further show that the extent to which students actively apply self-regulation strategies also depends heavily on teacher's actions within the blended learning environment. Measurement of self-regulation strategies is mainly done with questionnaires such as the Motivation and Self-regulation of Learning Questionnaire.Implications for practice and policy:•More attention to self-regulation in online and blended learning is essential.•Lecturers and course designers of blended learning environments should be aware that four types of self-regulation strategies are important: cognitive, metacognitive, motivational and management.•Within blended learning environments, more attention should be paid to cognitive, motivation and management strategies to promote self-regulation.
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The aim of the project is to empower older workers in communication and self-regulation in work and working conditions (Houben 2002). The project is an example of a developmental approach of an age diversity policy. The large scale project started in September 2005 in different organizations: an industrial organization, a management consultancy firm, etc.
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