Suchergebnisse

In the landscape of academic research and citation practices, the emergence of ChatGPT, an artificial intelligence language model developed by OpenAI, represents a transformative leap forward. This paper delves into the multifaceted role of ChatGPT in revolutionizing scholarly endeavors beyond mere plagiarism detection. We explore how ChatGPT facilitates research collaboration, streamlines literature reviews, and assists in proper citation practices. By harnessing ChatGPT's contextual understanding and vast knowledge repository, social work researchers can unlock new avenues of creativity and efficiency in knowledge acquisition and dissemination. Moreover, this paper discusses the ethical considerations surrounding the integration of AI in academia and underscores the need for guidelines and education to ensure responsible usage. Ultimately, ChatGPT stands at the forefront of a technological revolution, empowering social work researchers to push the boundaries of knowledge acquisition and dissemination in unprecedented ways.

Purpose: This study reports on the validation of the COVID-19 Quality of Professional Practice Survey (C19QPPS) among Master of Social Work (MSW) students in field training. Method: The C19QPPS measures the unique construct of shared trauma among social work practitioners related to COVID-19 but has yet to be validated with any population. To determine validity, data were collected from 145 graduate students and a model-generating form of structural equation modeling was employed. Results: The priori theory of three shared traumatic stress factors, Technique, Growth, and Trauma were confirmed. The best-fitting model consisted of three factors with acceptable fit statistics (χ2  =  66.45, p  =  .00; RMSEA  =  0.07, 90% CI [0.04, 0.10]; CFI  =  0.95; TLI  =  0.93). Discussion: Results validated the C19QPPS for evaluating MSW students' shared trauma related to COVID-19. The findings support utilizing the C19QPPS to evaluate shared trauma among professional social workers.