Creative behaviors are increasingly impacted by digital technologies, but little is known about the way digital technologies support everyday creativity and what factors predict their creative use. We investigated to what extent individual differences in person-specific (creativity, personality) and platform-specific (e.g., perceived creativity…

In several applied contexts (e.g., earwitness testimony), the accurate recognition of unfamiliar voices can be a critical part of the person identification process. However, recognising unfamiliar voices is prone to error. While such errors could be reduced by testing the proficiency of listeners, the established tests of unfamiliar voice matching…

Relying on shared tasks and stimuli to conduct research can enhance the replicability of findings and allow a community of researchers to collect large data sets across multiple experiments. This approach is particularly relevant for experiments in spatial navigation, which often require the development of unfamiliar large-scale virtual…

The COVID-19 pandemic has caused an increase in the use of e-learning software. From the perspective of the decision-makers (school/university administration), it is crucial to understand what characteristics of the software are perceived by the users (teachers) as necessary for a task (e-learning). A popular method of determining these…

According to the standard definition, creative ideas must be both novel and useful. While a handful of recent studies suggest that novelty is more important than usefulness to evaluations of creativity, little is known about the contextual and interpersonal factors that affect how people weigh these two components when making an overall creativity…

The link between teacher preparedness and the evolving technological advancement within teacher education is crucial in recent times. This study explores the current state of teacher readiness in Colleges of Education (CoE) in Ghana. It focused on integrating technology into the teacher preparation programmes by leveraging teachers' readiness and…

Background and Context: Assessing team members' indivdiual contributions to software development projects poses a key problem for computing instructors. While instructors typically rely on subjective assessments, objective assessments could provide a more robust picture. To explore this possibility, In a 2020 paper, Buffardi presented a…

Signaled active avoidance (SigAA) is the key experimental procedure for studying the acquisition of instrumental responses toward conditioned threat cues. Traditional analytic approaches (e.g., general linear model) often obfuscate important individual differences, although individual differences in learned responses characterize both animal and…

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…

Background: Gender stereotypes about women and men are prevalent in computer science (CS). The study's goal was to investigate the role of gender bias in computer-supported collaborative learning (CSCL) in a CS context by elaborating on gendered experiences in the perception of individual and team performance in mixed-gender teams in a hackathon.…

Technology advances quickly in today's society. This is particularly true in regard to instructional multimedia. One increasingly important aspect of instructional multimedia design is determining the type of voice that will provide the narration; however, research in the area is dated and limited in scope. Using a randomized pretest-posttest…

Educational technology is shifting toward facilitating personalized learning. Such personalization, however, requires a detailed understanding of students' problem-solving processes. Sequence analysis (SA) is a promising approach to gaining granular insights into student problem solving; however, existing techniques are difficult to interpret…

Machine translation post-editing (MTPE) has become a common practice in translation industry, which calls much attention in academia. However, little research has been carried out to investigate students' cognitive and motivational individual differences in MTPE. The purpose of the present study was to examine the predictive effects of…

Flow, a subjective state of optimal engagement and immersion, is characterized by a balance of perceived challenges and skills, interest, attention, and a sense of control (Csikszentmihalyi, 1990). Investigating flow in language learning can provide valuable insights into effective learning processes and contexts (Egbert, 2003). Self-regulated…

The current study investigated the role of visual short-term memory, working memory, and declarative memory as individual differences in the earliest stages of vocabulary and syntactic learning in "Duolingo"-based language instruction. Thirty-eight L1-Greek adults completed memory tasks and engaged in learning Navajo on…