Expert radiologists can discern normal from abnormal mammograms with above-chance accuracy after brief (e.g. 500 ms) exposure. They can even predict cancer risk viewing currently normal images (priors) from women who will later develop cancer. This involves a rapid, global, non-selective process called "gist extraction". It is not yet…

Recent findings in behavioral genetics and technological advances have the potential to alter education administration in ways that were inconceivable just a decade ago. Specifically, new understandings about the heritability of educational outcomes and the ability to calculate polygenic scores that predict likely student outcomes could change how…

In this article, it is shown how item text can be represented by (a) 113 features quantifying the text's linguistic characteristics, (b) 16 measures of the extent to which an information-retrieval-based automatic question-answering system finds an item challenging, and (c) through dense word representations (word embeddings). Using a random…

This study examined the relationship between mathematics achievement and mathematics problem-solving efficacy sources. A cluster sample of 123 first year prospective teachers of a Philippine higher education institution responded to a 30-item problem-solving efficacy scales and took the teacher-made tests in Mathematics in the Modern World course;…

As we take advantage of new technologies that allow us to streamline the coding process of large qualitative datasets, we must consider whether human cognitive bias may introduce statistical bias in the process. Our research group analyzes large sets of student responses by developing computer models that are trained using human-coded responses…

In this study, it was investigated whether adolescents' developmental guidance needs predicted by their interpersonal problem-solving skills. Adolescents' Determination of Developmental Guidance Needs Scale, Interpersonal Problem Solving Skills Scale, and Personal Information Form used as data collection tools. The sample group of the study…

How to choose the most appropriate courses to study throughout the learning process remains a question interested in by many students. Students often choose suitable courses according to their interests, needs, and advice from supporting staff, etc. This paper presents the results in developing a course recommendation system that will select…

We present the results of a meta-analytic synthesis of the literature on the association between the use of frequent low-stakes quizzes in real classes and students' academic performance in those classes. Data from 52 independent samples from real classes (N = 7864) suggests a moderate association of d = 0.42 between the use of quizzes and…

Anticipatory activities provide physical educators powerful opportunities to build relationships with their students, activate and assess background knowledge, and pique students' interest in the day's lesson. In this article, we present four literacy tools that can be easily implemented into anticipatory components of physical education lessons.…

Pre-emption describes a system of automated knowledge creation and intervention that steers the present towards a desirable future, by building on knowledge derived from the past. Folding together temporalities makes it impossible to disprove pre-emption. It is increasingly featured within EdTech, introducing new forms of automated governance into…

Analysis of symmetrically predicted endogenous subgroups (ASPES) is an approach to assessing heterogeneity in an ITT effect from a randomized experiment when an intermediate variable (one that is measured after random assignment and before outcomes) is hypothesized to be related to the ITT effect, but is only measured in one group. For example,…

Educational data mining has become an effective tool for exploring the hidden relationships in educational data and predicting students' academic achievements. This study proposes a new model based on machine learning algorithms to predict the final exam grades of undergraduate students, taking their midterm exam grades as the source data. The…

Researchers in behavioral sciences are often interested in longitudinal behavior change outcomes and the mechanisms that influence changes in these outcomes over time. The statistical models that are typically implemented to address these research questions do not allow for investigation of mechanisms of dynamic change over time. However, latent…

Human resources training is considered an effective solution in empowering human resources. Organizations try to have effective educational planning for this precious resource by identifying shortcomings through a need assessment. This study provides a model based on organizational data analysis to achieve a unique and appropriate training…

This paper focuses on the relationships among education, self-tracking technologies, and body practices, addressing an ongoing debate about the 'disciplinary versus empowering' role of health tracking technologies in teaching people how to live. Using a Feminist Science and Technology Studies approach (FSTS), it inquires into the understandings…