When using multiple imputation, users often want to know how many imputations they need. An old answer is that 2-10 imputations usually suffice, but this recommendation only addresses the efficiency of point estimates. You may need more imputations if, in addition to efficient point estimates, you also want standard error (SE) estimates that would…

Luisa Havens Gerardo is Vice President for Enrollment Management at Virginia Tech. She has served the American Association of Collegiate Registrars and Admissions Officers (AACRAO) as president, vice president for access and equity, chair of the international admissions committee, and member of the nominations committee and the program committee…

This article critically reviews how diagnostic models have been conceptualized and how they compare to other approaches used in educational measurement. In particular, certain assumptions that have been taken for granted and used as defining characteristics of diagnostic models are reviewed and it is questioned whether these assumptions are the…

Assessing the effect mentors have on their mentees is methodologically challenging: most programs merely provide relatively short mentoring durations (typically in the range of 1 year), age ranges are usually rather small, and examining dyads with anything other than questionnaires has proven to be challenging in the past. Thus, although some…

As they develop into mature speakers of their native language, infants must not only learn words but also the sounds that make up those words. To do so, they must strike a balance between accepting speaker-dependent variation (e.g., mood, voice, accent) but appropriately rejecting variation when it (potentially) changes a word's meaning (e.g., cat…

Data systems are becoming powerful tools to address students' diverse and changing needs, but without comprehensive data privacy policies, the risks of unintentional or malicious disclosures of students' private information is increasing. Given the mounting challenges to protect data privacy, Education Commission of the States assembled data…

Advances in state education data systems are helping schools understand and meet the needs of learners from early education through college and the workforce. Each state has adhered to key principles for protecting student data privacy. In the report "Lessons in Data Privacy for Education Leaders. Policy Guide," (ED625423) leading…

Although Machine Learning (ML) has already become part of our daily lives, few are familiar with this technology. Thus, in order to help students to understand ML, its potential, and limitations and to empower them to become creators of intelligent solutions, diverse courses for teaching ML in K-12 have emerged. Yet, a question less considered is…

Automated scoring of free drawings or images as responses has yet to be used in large-scale assessments of student achievement. In this study, we propose artificial neural networks to classify these types of graphical responses from a TIMSS 2019 item. We are comparing classification accuracy of convolutional and feed-forward approaches. Our…

The article examines the question of asymmetries in participatory research relationships in institutional contexts. The principle of ethical symmetry forms the theoretical framework for the investigation. It draws on experience from three (participatory) research projects in different settings, involving academics and people living in the settings…

Machine Learning (ML) is becoming increasingly present in our lives. Thus, it is important to introduce ML already in High School, enabling young people to become conscious users and creators of intelligent solutions. Yet, as typically ML is taught only in higher education, there is still a lack of knowledge on how to properly teach younger…

In putatively meritocratic societies, doing well in school is a pivotal precondition for accessing further and higher education, which, in turn, has a pervasive, long-term influence on adulthood development. Yet, doing well in school may also predict "real-life success" outside formal education settings and independent of the educational…

Purpose: Learning and innovation networks for sustainable agriculture (LINSA) are considered drivers of innovation towards a more sustainable agri-food system. However, sustaining long-term funding remains a challenge for many networks. This paper aims to provide a comprehensive conceptualization of how funding relates to LINSA continuation and…

Background: Artificial intelligence (AI) is rapidly changing communication and technology-driven content creation and is also being used more frequently in education. Despite these advancements, AI-powered automated scoring in international large-scale assessments (ILSAs) remains largely unexplored due to the scoring challenges associated with…

The next generations of science, technology, engineering, and math (STEM) workers are being trained in college and university classrooms by a workforce of instructors who learn pedagogical practice largely on the job. While inclusive instructional practices and their impacts are increasingly well-studied, this training is difficult to instill…