In the age of big data and analytics, it is important that students learn about artificial intelligence (AI) and machine learning (ML). Machine learning is a discipline that focuses on building a computer system that can improve itself using experience. ML models can be used to detect patterns from data and recommend strategic marketing actions.…

"Creating Purposeful Partnerships" offers insights into business-led regional talent ecosystems that facilitate access, alignment, and development of a prepared workforce with the skills necessary for companies' long-term success. The findings of this report serve as a playbook for CEOs and their executive teams for establishing…

Interprofessional education (IPE) is perceived to be one strategy to reduce professional compartmentalisation and improve collaborative practices. The unequal power relations existing between the various professions who need to collaborate for IPE remains largely unexamined and it is only in recent years that sociological theories have been…

Positive youth development is a strengths-based, positive psychology approach to fostering adolescents' educational engagement and achievement. It focuses not just on students' academic development but also on their vocational, social, and emotional development. The positive youth development philosophy is at the heart of Cynthia Hazel's unique…

This study investigated students' perceptions of their graduate learning outcomes including content knowledge, communication, writing, teamwork, quantitative skills, and ethical thinking in two Australian universities. One university has a traditional discipline-orientated curriculum and the other, an interdisciplinary curriculum in the entry…

Undergraduate research experiences confer benefits on students bound for science, technology, engineering, and mathematics (STEM) careers, but the low number of research professionals available to serve as mentors often limits access to research. Within the context of our summer research program (BRAIN), we tested the hypothesis that a team-based…

This study attempts to reveal the process of teacher leadership (TL) and its implications for teacher education. Two rounds of interviews, including focus group interviews with six chosen schools in Taiwan, were conducted to reveal the process. It was found that the development of TL is a stretching process from the key leader to core members,…

The purpose of this study was to develop an empirical data-driven model for a knowledge creation school system in career technical education (CTE) by identifying supportive and hindering factors influencing knowledge creation practices in CTE schools. Nonaka and colleagues' (Nonaka & Konno, 1998; Nonaka & Takeuchi, 1995) knowledge…

We report a within-teams experiment testing the effects of fit between team structure and regulatory task demands on task performance and satisfaction through average team member positive affect and helping behaviors. We used a completely crossed repeated-observations design in which 21 teams enacted 2 tasks with different regulatory focus…

The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…

Status structures in organizations are ubiquitous yet largely ignored in organizational research. We offer a conceptualization of team status inequality, or the extent to which status positions on a team are dispersed. Status inequality is hypothesized to be negatively related to individual performance and physical health for low-status…

This is the final external evaluation report prepared by SRI International for the Rural Math Excel Partnership (RMEP) project, an investing in innovation (i3) development project funded by the U.S. Department of Education. Operated by Virginia Advanced Study Strategies, Inc. (VASS), the RMEP project included six rural school districts (LEAs) in…

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

The purpose of this study was to explore the implementation of the Response To Intervention (RTI) model in North Dakota. This model consists of tiers of interventions that are systematically implemented to help students who are identified at-risk. Under this model, if students fail to respond to interventions over time, they may be identified as…

The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…