Randomized A/B tests within online learning platforms represent an exciting direction in learning sciences. With minimal assumptions, they allow causal effect estimation without confounding bias and exact statistical inference even in small samples. However, often experimental samples and/or treatment effects are small, A/B tests are underpowered,…

This article shows fundamental notions of one of the qualitative research methods, we refer to the hermeneutical phenomenology based on the theories of Van Manen, Raquel Ayala and Miguel Martínez. This approach leads to the description and interpretation of the essence of lived experiences, recognizes the meaning and importance in pedagogy,…

Indigenous students, a subgroup of the Australian student population, produce poorer educational outcomes and continue to produce persistently lower attendance rates than non-Indigenous peers. Currently, governments collect and monitor student attendance as an indicator of students' educational achievement and a key performance measure of schools…

Descriptive assessments involve recording naturally occurring instances of behavior and corresponding antecedent and consequent events. Authors have argued for the use of two forms of descriptive assessment, structured and narrative Antecedent-Behavior-Consequence recording, because these methods may require little training. However, the extent to…

Mobile technologies, specifically smartphones, offer social scientists a potentially powerful approach to examine the social world. They enable researchers to collect information that was previously unobservable or difficult to measure, expanding the realm of empirical investigation. For research that concerns resource-poor and hard-to-reach…

This commentary to the recent article by Musso et al. (2013) discusses issues related to model fitting, comparison of classification accuracy of generative and discriminative models, and two (or more) cultures of data modeling. We start by questioning the extremely high classification accuracy with an empirical data from a complex domain. There is…

This article describes a predictive model that assesses whether a student will have greater perceived learning in group assignments or in individual work. The model produces correct classifications 87.5% of the time. The research is notable in that it is the first in the education literature to adopt a predictive modeling methodology using data…

In this article the possibilities to use video diaries as data collection tool in studies about scientific literacy are discussed. The starting point is a need for students to develop scientific knowledge which they can use as citizens in different situations. I argue that with this definition the students' scientific literacy (SL) must be…

Problem Statement: There has recently been interest in educational databases containing a variety of valuable but sometimes hidden data that can be used to help less successful students to improve their academic performance. The extraction of hidden information from these databases often implements aspects of the educational data mining (EDM)…

Income is regarded as one of the clearest indicators of socioeconomic status and wellbeing in the developed world and is highly correlated with a wide range of outcomes. Despite its importance, there remains an issue as to the best way to collect income as part of surveys. This paper examines differences in how income is collected in a nationally…