Retention and dropout of higher education students is a subject that must be analysed
carefully. Learning analytics can be used to help prevent failure cases. The purpose of this …

Background Economic globalization, rapid advances in technology and cognitive science,
and a worldwide movement toward outcomes‐based program accreditation increasingly …

Despite evidence of mentoring's importance in training researchers, studies to date have not
yet determined which mentoring relationships have the most impact and what specific …

Uplift modeling is an approach for estimating the incremental effect of an action or treatment
at the individual level. It has gained attention in the marketing and analytics communities …

Method The authors conducted a randomized controlled trial (RCT) at 16 academic health
centers (June 2010 to July 2011). Faculty mentors of trainees who were conducting …

Background and purpose Effective mentorship is critical to the success of early stage
investigators, and has been linked to enhanced mentee productivity, self-efficacy, and …

Although institutions of higher education have placed a large emphasis on increasing the
number of underrepresented minority (URM) students matriculating in higher education, the …

Student dropout is a major concern in studies investigating higher education retention
strategies. However, studies investigating the optimal time to identify students who are at risk …

How do faculty and universities benefit from mentoring, and what sorts of mentoring
programs and policies are most effective? This article reviews existing research on …

Abstract In the beginning,“Mutual Mentoring” was little more than an idea, a hopeful vision of
the future in which a new model of mentoring could serve as a medium to better support …