The purpose of this quantitative correlational associative study was to examine if, and to what extent, there was a significant relationship between the flourishing and technology readiness of doctoral learners across the United States. This study utilized the Well-being Theory or PERMA model and Technology Readiness Theory as the theoretical…

Evidence shows that artificial intelligence (AI) has become an important subject in academia, representing about 2.2% of all scientific publications. One concern for doctoral programs is the future role of AI in doctoral writing due to the increase in AI-generated content, such as text and images. Apprehensions have been expressed that the use of…

For decades, doctoral attrition has been a concern for administrators and faculty in higher education, along with doctoral students themselves. Although most doctoral students have the academic skills that they need in order to complete their degree, many struggle with challenges outside of the scholarly process. Affective challenges may be…

Established in December 2016, the National Academies of Sciences, Engineering, and Medicine's Roundtable on Data Science Postsecondary Education was charged with identifying the challenges of and highlighting best practices in postsecondary data science education. Convening quarterly for 3 years, representatives from academia, industry, and…

The non-completion of doctoral degrees has been a concern due to its economic, social, and personal consequences. In the current study, the researchers investigated perceived barriers of select doctoral students in completing their doctoral degrees by utilizing a fully mixed sequential mixed research design. The quantitative and qualitative data…