To understand complex disciplinary texts, students need to possess a rich store of background knowledge. But what happens if students don't have that knowledge? In this article, Doug Buehl explores frontloading strategies that can bridge the gap between what students know and what they need to know to comprehend a disciplinary text. He outlines…

This manuscript addresses the potential role of geoscience education research in understanding geoscience expert practice. We note the similarity between the perception-action framework of Ulric Neisser (Neisser, 1976) and the observation-prediction framework used by geoscience practitioners. The consilience between these two approaches is that…

In a recent article in this journal, Shakur described an interesting problem where a bullet of mass "m" strikes a block of wood of mass "M" and projects the block upward. The same problem was considered earlier by Cowley et al. and others. The main question of interest is whether the block rises to a greater height if it is…

Students often are overconfident when they predict their performance on classroom examinations, and their accuracy often does not improve across exams. One contributor to overconfidence may be that students did not have enough experience, and another is that students may under-use their knowledge of prior exam performance to predict performance on…

The common practice for testing measurement invariance is to constrain parameters to be equal over groups, and then evaluate the model-data fit to reject or fail to reject the restrictive model. Posterior predictive checking (PPC) provides an alternative approach to evaluating model-data discrepancy. This paper explores the utility of PPC in…

Most students take language courses at university, but only a fraction go beyond the introductory and intermediate levels despite the fact that continued study is likely necessary to achieve full communicative competence in the target language. By shedding light on the motivational pathways that predict language learning effort, persistence, and…

Modern educational technology has the potential to support students to use their study time more effectively. Learning analytics can indicate relevant individual differences between learners, which adaptive learning systems can use to tailor the learning experience to individual learners. For fact learning, cognitive models of human memory are…

Learning analytics have proved promising capabilities and opportunities to many aspects of academic research and higher education studies. Data-driven insights can significantly contribute to provide solutions for curbing costs and improving education quality. This paper adopts a two-phase machine learning approach, which utilizes both…

Teachers' and special educators' attitudes towards research-based work differ but remains poorly understudied. This study predicts Swedish teachers' and special educators' attitudes towards (a) research-based work and (b) inviting researchers to schools. The data comes from a survey with a convenience sample of more than 300 teachers and special…

The present study aims to determine the relation between Technological Pedagogical Content Knowledge (TPACK) levels of teachers and their self-efficacy in integrating technology, their technology literacy and their usage objective of social networks. Structural equation modeling was utilized to create a model explaining and predicting the…

Purpose: This study sought to evaluate the effects of common hearing aid microphone technologies on speech recognition and listening effort, and to evaluate potential predictive factors related to microphone benefits for school-age children with hearing loss in a realistic listening situation. Method: Children (n = 17, ages 10-17 years) with…

Purpose: The aim of the study was to investigate the effects of specific acoustic patterns on word learning and segmentation in 8- to 11-year-old children and in college students. Method: Twenty-two children (ages 8;2-11;4 [years;months]) and 36 college students listened to synthesized "utterances" in artificial languages consisting of…

Previously, we had reported on the relationship between AP physics experience and exam scores, and student scores on the Force and Motion Conceptual Evaluation and in an introductory calculus-based mechanics course [E. W. Burkholder and C. E. Wieman, Phys. Rev. Phys. Educ. Res. 15, 020117 (2019)]. Two limitations to our previous work were that we…

This paper reports on progress in the development of a teaching module on machine learning with decision trees for secondary-school students, in which students use survey data about media use to predict who plays online games frequently. This context is familiar to students and provides a link between school and everyday experience. In this…

Selecting less hazardous chemicals is a core tenet of green chemistry but is difficult to teach in practice. The upper-year undergraduate or graduate level exercise described here empowers students to make such decisions themselves. Students are tasked with finding the greenest chemical for a specific purpose described in a hypothetical scenario,…