The purpose of the present study was to explore the self-learning experiences of depression patients on interactive multimedia education program. Qualitative in-depth interviews were employed. Fourteen patients with a first episode of major depression were recruited from a psychiatric outpatient department. Explanations of the purposes of the exercise and on-the-spot teaching were provided by the researcher before the study began. A tape-recorded, semi-structured interview format was employed after two weeks. Data analysis was performed in the framework of line-by-line content, contextual and thematic analysis. Eight subjects successfully completed the entire learning activities. Content analysis revealed 4 main aspects of successful self-learning experiences: the triggering of learning motivation, the enjoyment of self-paced learning, support for the effects of learning materials, and the gaining of self- awareness and changes. The factors influencing learning performance were related to: environmental impact, the degree of familiarity with traditional learning, possession or non-possession of the necessary computer operation skills, and good computer support. However, the findings provide a preliminary understanding of the application of interactive multimedia education programs in terms of self-learning outcomes and recognizing key elements of learning impediments among the study sample. A larger sample size with different clinical contexts is recommended to determine the effect and generalizability for future research. Furthermore, the creation of a computerized learning environment with different educational styles is crucial to patients' success in obtaining depression-related information and understanding effective adaptive skills.
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http://dx.doi.org/10.1097/01.jnr.0000387514.75114.75 | DOI Listing |
Qual Life Res
November 2024
Department of Psychiatry, Interdisciplinary Center Psychopathology and Emotion Regulation (ICPE), University of Groningen, University Medical Center Groningen, PO Box 30.001 (CC72), Groningen, 9700 RB, The Netherlands.
The experience sampling method (ESM) is increasingly used as a clinical tool in mental health care. Currently, ESM studies pay relatively little attention to assessing contextual factors, such as a person's experience and perception of events, activities, and social interactions. This has been referred to as the 'contextual black box'.
View Article and Find Full Text PDFPLoS One
November 2024
Center for Sociology of Higher Education, HSE University, Moscow, Russia.
This study proposes the multidimensional concept of 'student behavior at university' and methodology for its quantitative investigation. Unlike previous concepts related to aspects of the student experience, the idea of student behavior considers the combinations and interrelations of individual and environmental characteristics affecting student experience and outcomes. It provides a new lens for viewing student experience at university, highlighting the multifacetedness of this phenomenon and the diversity of possible patterns of student behavior.
View Article and Find Full Text PDFSci Rep
October 2024
Research Centre for Information and Communications Technologies (CITIC-UGR) - Department of Computer Engineering, Automation, and Robotics (ICAR), University of Granada, Granada, 18071, Spain.
In nature, intelligent living beings have developed emotions to modulate their behavior as a fundamental evolutionary advantage. However, researchers seeking to endow machines with this advantage lack a clear theory from cognitive neuroscience describing emotional elicitation from first principles, namely, from raw observations to specific affects. As a result, they often rely on case-specific solutions and arbitrary or hard-coded models that fail to generalize well to other agents and tasks.
View Article and Find Full Text PDFVirchows Arch
September 2024
Department of Biomedical Sciences, Humanitas University, Via Rita Levi Montalcini 4, 20072, Pieve Emanuele, Milan, Italy.
ChatGPT, an AI capable of processing and generating human-like language, has been studied in medical education and care, yet its potential in histopathological diagnosis remains unexplored. This study evaluates ChatGPT's reliability in addressing pathology-related diagnostic questions across ten subspecialties and its ability to provide scientific references. We crafted five clinico-pathological scenarios per subspecialty, simulating a pathologist using ChatGPT to refine differential diagnoses.
View Article and Find Full Text PDFSAGE Open Nurs
September 2024
Peking University School of Nursing, Beijing, China.
Introduction: Blended learning is a teaching approach that integrates online self-learning and classroom teaching. It emphasizes students' self-directed learning, actively engaging, as well as communication and collaboration. Blended learning develops the qualities in nursing undergraduate students with problem-solving ability, clinical thinking, and communication skills as nurses have.
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