Many Library and Information Science (LIS) training programs are gradually expanding their curricula to include computational data science courses such as supervised and unsupervised machine learning. These programs focus on developing both "classic" information science competencies as well as core data science competencies among their…

Purpose: Comparative data of autism-sensitive standardized measures of emotion regulation and lability, describing percentage change over time for populations of young autistic children, are currently publicly unavailable. We propose publication of such data as a support for future therapeutic intervention studies. Methods: We generate and present…

This paper provides information on datasets for the research project that examined the efficacy of three educational technologies including "From Here to There!", a research-based game for improving algebraic understanding. The dataset contains 4,092 7th-grade students' data collected through a randomized control trial conducted in…

Modern technology threatens traditional modes of classroom assessment by providing students with automated ways to write essays and take exams. At the same time, modern technology continues to expand the accessibility of computational tools that promise to increase the potential scope and quality of class projects. This paper presents a case study…

We centrally consider the question of what interview data can be used to 'say' through a dialogue with advocates of the 'radical critique' of interview studies. We propose that while the critique has considerable utility in drawing to 'the social life of interviews' and the pervasiveness of notions of the 'romantic subject', it simultaneously goes…

Bayesian network is a probabilistic graphical model that has wide applications in various domains due to its peculiarity of knowledge representation and reasoning under uncertainty. This research aims at Bayesian network structure learning and how the learned model can be used for reasoning. Learning the structure of Bayesian network from data is…

Instructors may design and implement formative assessments on technology-enhanced platforms (e.g., online quizzes) with the intention of encouraging the use of effective learning strategies like active retrieval of information and spaced practice among their students. However, when students interact with unsupervised technology-enhanced learning…

Keystroke logging is used to automatically record writers' unfolding typing process and to get insight into moments when they struggle composing text. However, it is not clear which and how features from the keystroke log map to higher-level cognitive processes, such as planning and revision. This study aims to investigate the sensitivity of…

In this paper, we argue for a view of analysis as an embodied practice and review others' testimonies of carrying out multimodal ethnography. This review suggests that metaphors are key for communicating what happens to "us" in the course of the research and our subsequent sense-making practices. We identify four metaphors for…

When exposed to principal components analysis for the first time, students can sometimes miss the primary purpose of the analysis. Often the focus is solely on data reduction and what to do after the dimensions of the data have been reduced is ignored. The datasets discussed here can be used as an in-class example, a homework assignment, or a…

The purpose of this dissertation is to understand the impacts of social service data collection and use on the lives of young people and those that serve them, and to offer ways for youth, nonprofits, and funders to positively evolve these systems. It grew from three simple questions without clear answers: what's happening, how's it working, and…

Schools and districts that break the correlation between race and poverty on the one hand and academic achievement on the other hold enormous lessons for any educators willing to seek them out and ask: "Your kids are doing better than mine. What are you doing?" It is important to understand that educators who ask that question--whether…

Behavioral and social-emotional challenges experienced in childhood are risk factors for negative educational and health outcomes. Universal social-emotional screening in schools has been identified as an effective approach to identifying children at risk for mental health and behavioral challenges and is congruent with tiered frameworks for…

Since the 1990s, European school policy has been steered by management dreams that systematic monitoring and assessment would guide schools and society toward a future of greater quality, efficiency, and growth. This article, drawing on Jean Baudrillard, explores whether it makes sense to rearticulate this dream of optimization by assessment in…

Although the number of countries conducting large-scale assessments has increased significantly over the past two decades, this has not necessarily led to the effective use of learning assessment data in policy-making and planning. To better understand the reasons for this, the UNESCO International Institute for Educational Planning (IIEP)…