22 papers · ranked by Valyu relevance
Haopeng Chen, Pieter Verbeke, Stefania Mattioni, Cristian Buc Calderon + 1 more
Testing enhances memory more than studying. Although numerous studies have demonstrated the robustness of this classic effect, its neural and computational origin remains debated. Predictive learning is a potential mechanism behind this phenomenon: Because predictions and prediction errors (mismatch between predictions…
Kevin Sigayret, Jean-François Parmentier, Franck Silvestre
The testing effect-whereby retrieving information through testing improves long-term retention more than restudying-is one of the most robust and well-documented phenomena in educational psychology. However, its replicability in online crowdsourced settings remains uncertain. In this paper, we report two preliminary…
Scott H. Fraundorf, Zachary A. Caddick, Timothy J. Nokes-Malach, Benjamin M. Rottman
Although tests and assessments-such as those used to maintain a physician’s Board certification-are often viewed merely as tools for decision-making about one’s performance level, strong evidence now indicates that the experience of being tested is a powerful learning experience in its own right: The act of retrieving…
Aaron S. Benjamin, Catarina S. Ferreira, Maria Wimber
Remembering facilitates future remembering. This benefit of practicing by active retrieval, as compared to more passive relearning, is known as the testing effect and is one of the most robust findings in the memory literature. It has typically been assessed using verbal materials such as word pairs, sentences, or…
Yeray Mera, Nataliya Dianova, Eugenia Marin-Garcia
The pretesting effect suggests that attempting and failing to guess unknown information can improve memory compared to errorless study. A relevant question concerns the optimal timing for providing corrective feedback and administering the final test. This study explored two variables: (1) the timing of feedback after…
Mourad El Karkri, Antonio Quesada, Marta Romero-Ariza, Gerry Leisman
Background/Objectives: Many studies have investigated the Cognitive Acceleration through Science Education (CASE) programme, demonstrating its impact on students’ reasoning and learning development across different educational contexts. Likewise, numerous experimental investigations have employed the Solomon Four-Group…
Philipp Straubinger, Tommaso Fulcini, Giacomo Garaccione, Luca Ardito + 1 more
'Luca Ardito' 'Gordon Fraser'] Gamification is an emerging technique to enhance motivation and performance in traditionally unengaging tasks like software testing. Previous studies have indicated that gamified systems have the potential to improve software testing processes by providing testers with achievements and…
Peter F. Halpin, Joshua B. Gilbert
Specific Outcome Measure Used Authors: ['Peter F. Halpin' 'Joshua B. Gilbert'] This paper addresses the situation in which treatment effects are reported using educational or psychological outcome measures comprised of multiple questions or "items." A distinction is made between a treatment effect on the construct…
Yeray Mera, Nataliya Dianova, Eugenia Marin-Garcia
Retrieval practice, or taking tests after studying, is a highly effective strategy to enhance learning. Furthermore, pretesting, which involves attempting and failing to guess unknown information before studying it, has emerged as a more effective strategy than mere re-studying. These methods exemplify errorful…
Kevin Han, Shuangning Li, Jialiang Mao, Han Wu
In the past decade, the technology industry has adopted online randomized controlled experiments (a.k.a. A/B testing) to guide product development and make business decisions. In practice, A/B tests are often implemented with increasing treatment allocation: the new treatment is gradually released to an increasing…
Laura Smith, Paul Jones
Force plate testing is commonly used to assess athlete performance, however there is no research into the effect the surface underneath the force plate has on derived variables. The aim of this study was to investigate whether different surfaces underneath a force plate would elicit differences in derived force plate…
Daniel Beasley
Randomized controlled trials (RCTs) are the gold standard for inferring causal relationships between treatments and effects. They are widely applied by scientists to deepen understanding of their disciplines. Within the past two decades, they have found applications in digital products as well, under the name A/B test.…
Authors not listed
Quantitative Structure-Activity Relationship (QSAR) modeling is a pillar of computational drug discovery. However, standard machine learning (ML) models are often confounded by the high-dimensional and intensely correlated nature of molecular descriptors. A model may identify a "bulk" property (e.g., molecular weight)…
Nina Schmelter, Benedikt Langenberg, Axel Mayer, Tobias Heed
The tactile temporal order judgment (TOJ) task is widely used in multisensory neuroscience. Participants judge which of two tactile stimuli, one on each hand, came first. A key finding is that TOJ performance declines when the arms are crossed, likely due to interactions between tactile, proprioceptive, and visual…
Younes Boulaguiem, Julie Quartier, Maria Lapteva, Yogeshvar N Kalia + 3 more
Average (bio)equivalence tests are used to assess if a parameter, like the mean difference in treatment response between two conditions for example, lies within a given equivalence interval, hence allowing to conclude that the conditions have ‘equivalent’ means. The Two One-Sided Tests (TOST) procedure, consisting in…
Md Rejuan Haque, Laura Kubatko
Combination tests are used to combine P-values from individual studies to test a global null hypothesis. These types of tests can also be applied to combine P-values from testing separate null hypotheses within the same study in cases for which the procedure for testing a global null hypothesis is unavailable. One such…
Raquel Blanco, Manuel Trinidad, María José Suárez‐Cabal, Alejandro Calderón + 2 more
'Alejandro Calderón' 'Mercedes Ruiz' 'Javier Tuya'] Software testing is an essential knowledge area required by industry for software engineers. However, software engineering students often consider testing less appealing than designing or coding. Consequently, it is difficult to engage students to create effective…
Marc Brysbaert
Experimental psychology is witnessing an increase in research on individual differences, which requires the development of new tasks that can reliably assess variations among participants. To do this, cognitive researchers need statistical methods that many researchers have not learned during their training. The lack…
Authors not listed
The development of polymer materials for real-world applications requires careful assessment of material degradation over time and under environmental exposure. Such tests often necessitate frequent monitoring of test specimens, which can become burdensome for researchers. In this study, we present the application of a…
Rafael Izbicki, Luben M. C. Cabezas, Fernando A. B. Colugnatti, Rodrigo F. L. Lassance + 2 more
'Rodrigo F. L. Lassance' 'Altay Alves Lino de Souza' 'Rafael B. Stern'] While Null Hypothesis Significance Testing (NHST) remains a widely used statistical tool, it suffers from several shortcomings, such as conflating statistical and practical significance, sensitivity to sample size, and the inability to distinguish…
Authors not listed
The ongoing threat of global warming necessitates a shift towards clean energy sources to meet rising demands while reducing carbon emissions. Polymer electrolyte fuel cells (PEFCs) represent a promising technology for both mobile and stationary applications but their poor operational lifetimes and frequent faults are…
Authors not listed
• Background In the cannabis industry, achieving accurate analytical test results is complex, hindered by challenges such as sampling issues, sample preparation, cross-contamination, and the choice of analytical methods. The heterogeneity of cannabis complicates obtaining representative samples, crucial for precise…