This paper presents the design and initial learning research with the MMM modeling platform, seeking to advance middle school students' learning through constructing computational models of complex physical and chemical systems. A complexity-based structure of an MMM interface is introduced. It suggests that a complex system can be described and…

This study is a replication and extension of Morgan-Short et al.'s (2018) investigation into the role of attention in input processing by L1-Polish learners of L2-Spanish, with proficiency and language of assessment explored as two key methodological factors. Our aims were twofold: to investigate learners' comprehension in different conditions…

Conditioned fear memories that are context-specific shortly after conditioning generalize over time. We exposed rats to a context reminder 30 d after conditioning, which served to reinstate context-specificity, and investigated how this reminder alters retrieval-induced activity in the hippocampus and anterior cingulate cortex (aCC) relative to a…

Testing of previously studied information potentiates subsequent learning of new information, a phenomenon referred to as the "forward testing effect" (FTE). The current study aimed to investigate the developmental trajectory of the FTE and whether the reset-of-encoding process contributes to the FTE. Younger children, older children,…

The high-stakes College English Test (CET), developed, administered, and reformed over the last 20 years, has received great attention in the aspect of washback on teaching and learning from previous research. Very few studies explored its consequences in the workplace domain--being used as a screening lever. This research aimed to 1) compare…

Reading difficulties during childhood often continue during adulthood and result in adverse effects (e.g., unemployment, poverty). A common method to teach early literacy skills is via multisensory instructional programs, which use combinations of mnemonic devices, such as visual, auditory, tactile, and kinesthetic movements. The current…

Recent research provides evidence that an intersectional approach to defining reference and focal groups results in a higher percentage of comparisons flagged for potential DIF. The study presented here examined the generalizability of this pattern across methods for examining DIF. While the level of DIF detection differed among the four methods…

Academic dishonesty has been growing in both digital and analog settings. The present study aimed to generalize the ethical dissonance index (EDI), which was established in a sample of Israeli school students as the gap between the pervasiveness of academic dishonesty and its perceived legitimacy. Furthermore, the study examined how technology,…

Foreign accents can vary considerably in the degree to which they deviate from the listener's native accent, but little is known about how the relationship between a speaker's accent and a listener's native language phonology mediates adaptation. Using an artificial accent methodology, we addressed this issue by constructing a set of three…

A log-linear model (LLM) is a well-known statistical method to examine the relationship among categorical variables. This study investigated the performance of LLM in detecting differential item functioning (DIF) for polytomously scored items via simulations where various sample sizes, ability mean differences (impact), and DIF types were…

Motor learning principles guide treatment of childhood apraxia of speech (CAS). Previous studies found children to benefit from higher-intensity conditions; however, they did not control for the total amount of therapy time. The aims of the article are to examine the effects of high versus low treatment frequency in intervention for CAS in…

This paper reports an experiment that investigates interpretive distinctions between two different expressions of generalization in Spanish. In particular, our aim was to find out when the distinction between generic statements (GS) such as "Tigers have stripes" and universally quantified statements (UQS) such as "All tigers have…

Increasing productivity in educational systems is of great importance. Researchers are keen to predict the academic performance of students; this is done to enhance the overall productivity of educational system by effectively identifying students whose performance is below average. This universal concern has been combined with data science…

Scoring language learners' speaking skills is open to a number of measurement errors since raters' personal judgements could involve in the process. Different grading designs in which raters score a student's whole speaking skills or a specific dimension of the speaking performance could be settled to control and minimize the amount of the error…

Background: Acquisition and generalization of data analysis skills are perennial challenges for psychology students. Teaching advanced data analysis in a psychology-specific context might improve students' learning. Objective: At a mid-sized public university, we evaluated student outcomes after a new quantitative psychology course taught in the…