The worst performance rule (WPR) describes the phenomenon that individuals' slowest responses in a task are often more predictive of their intelligence than their fastest or average responses. To explain this phenomenon, it was previously suggested that occasional lapses of attention during task completion might be associated with particularly…

Fluid intelligence and conscientiousness are important predictors of students' academic performance and competence gains. Although their individual contributions have been widely acknowledged, less is known about their potential interplay. Do students profit disproportionately from being both smart and conscientious? We addressed this question…

Teaching remains a profession that is associated with certain health risks. Teachers complain of psychosomatic experiences such as exhaustion, fatigue, headache, and tension more than people in other professions. High levels of stress amongst teachers also pose a risk for students, as this is associated with poorer teaching quality and lower…

Gifted underachievers perform worse in school than would be expected based on their high intelligence. Possible causes for underachievement are low motivational dispositions (need for cognition) and metacognitive competences. This study tested the interplay of these variables longitudinally with gifted and non-gifted students from Germany…

Intelligence is a well-supported predictor of school achievement, however, it refers only to the cognitive facet of learning determinants. The aim of this article is to contrast the predictive properties of two comprehensive concepts developed within the actiotope model of giftedness (AMG) with that of intelligence. These concepts are educational…

It is widely accepted that general intelligence and phonological awareness contribute to children's acquisition of reading and spelling skills. A further candidate in this regard is orthographic knowledge (i.e., the knowledge about permissible letter patterns). It consists of two components, word-specific (i.e., the knowledge of the spelling of…

The important role of early self-regulation skills has been repeatedly demonstrated in research. However, there is a lack of studies that have simultaneously examined the influence of hot and cool self-regulation skills on school performance and behavior problems in a longitudinal design from preschool to elementary school and controlling…

Psychologists with their expertise in statistics and regarding human perception and behavior can contribute valuable insights to the development of innovative and useful artificial intelligence (AI) systems. Therefore, we need to raise attention and curiosity for AI and foster the willingness to engage with it among psychology students. This…

Feeling like a different person when speaking different languages has been investigated before and attributed to several linguistic as well as psychological factors. Language proficiency, the context of language acquisition, personality traits, emotional intelligence, and the topic of conversation as well as the interlocutor have been found to…

What drives socioeconomic success within a society? This study analyzes how late childhood intelligence, parental socioeconomic background, and gender relate to multiple dimensions of adult socioeconomic success (i.e., education, occupational status, and income). A particular focus is placed on education, which is considered as both an indicator…

In this study, we investigated developmental aspects of eye movements during reading of three languages (English, German, and Finnish) that vary widely in their orthographic complexity and predictability. Grapheme-phoneme correspondence rules are rather complex in English and German but relatively simple in Finnish. Despite their differences in…

This study examined the incremental validity of different information and communication technologies (ICT)-related person characteristics over and above intelligence and and prior achievement when predicting ICT literacy across a period of three years. Relative weights analyses were performed to determine the relative contribution of each…

We perform two approaches of machine learning, logistic regressions and decision trees, to predict student dropout at the Karlsruhe Institute of Technology (KIT). The models are computed on the basis of examination data, i.e. data available at all universities without the need of specific collection. Therefore, we propose a methodical approach…

Research Findings: Are family literacy activities linked to gains in preschool-aged dual language learners' (DLLs') societal language vocabulary? To understand connections between literacy activities and vocabulary, we separately considered literacy activities in the respective heritage language and in the societal language, German, and accounted…

Students' intelligence and self-concept of ability are critical predictors of school achievement. However, studies focusing on the relative importance of both achievement predictors have produced mixed results. To clarify these inconsistencies, the present study investigated whether the relative predictive power of students' intelligence and…