Current Projects
Project 1: Comprehensive Artificial Intelligence Integration Readiness Survey (CAIIRS)
Project SummaryThis project addresses the integration of artificial intelligence (AI) in higher education, focusing on the readiness and perceptions of faculty members regarding AI adoption in teaching, learning, and assessment. Recognizing that while AI is transforming higher education by enhancing learning experiences and streamlining administrative tasks, the practical integration of AI into instructional practices remains insufficiently explored, especially from the perspective of educators. The primary objective was to develop and validate the Comprehensive AI Integration Readiness Survey (CAIIRS), a tool designed to measure faculty readiness for AI integration. The CAIIRS was constructed based on a thorough literature review and expert feedback, ensuring its relevance and comprehensiveness. Data were collected through a nationwide online survey targeting educators from both public and private universities and colleges across the United States. Keywords: Generative Artificial Intelligence, Educators, Higher Education, Scale Development, AI Integration |
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Project 2: Data Visualization and Communication in Evaluation |
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Project Summary |
| In an era defined by unprecedented data volume, the ability to effectively visualize and communicate complex information has become critical across disciplines (Kirk, 2019). Within the field of evaluation, data visualization offers powerful tools for enhancing understanding, facilitating stakeholder engagement, and ultimately, informing better decisions (Few, 2012; Evergreen, 2017). As evaluation practice evolves to address increasingly complex social programs and policies, the strategic use of visual displays can transform raw data into actionable insights (Patton, 2018). |
This study employs bibliometric methods using the PRISMA framework to address critical questions about data visualization evolution, key influences, thematic foci, and global distribution of research on data visualization within the evaluation field. Through a comprehensive analysis of scholarly publications, this research aims to provide a valuable resource for researchers, practitioners, and policymakers seeking to understand and leverage the power of data visualization to improve evaluation practice. |
Project 3: Comprehensive Cultural Responsiveness Evaluation (CCRE) Framework
Project Summary
The Comprehensive Cultural Responsiveness Evaluation (CCRE) Framework is a structured approach designed to assess and enhance cultural responsiveness evaluation of mental health programs within the Appalachian region. This framework provides a systematic method for evaluating key dimensions of cultural responsiveness, including community perspective, collaborative design, socio-political dynamics, and community engagement. By identifying strengths and areas for improvement, CCRE serves as a diagnostic tool to guide educational and mental health institutions in their efforts to create inclusive and equitable learning environments that respect and celebrate diverse cultural perspectives.
Project 4: Review of Instruments and Frameworks to Measuring Faculty AI Integration Readiness
Project Summary
The systematic review of instruments and frameworks for measuring faculty AI adoption readiness is a comprehensive analysis aimed at identifying and evaluating existing tools that assess the preparedness of educators for integrating artificial intelligence (AI) technologies in their teaching practices. This review seeks to synthesize current knowledge, highlight gaps in the literature, and provide recommendations for future research and development of more effective assessment instruments. By systematically reviewing the available literature, this project aims to contribute to a deeper understanding of faculty readiness for AI adoption and inform strategies for enhancing AI integration in educational settings.