Learning climate scale: Construction,reliability and initial validity evidence

The current study developed an instrument for measuring learning climate in organizations. A review of the organizational learning and facilitation of workplace learning literature resulted in three theoretically relevant dimensions referring to facilitation, appreciation, and error avoidance. The 3-dimensional learning climate scale (LCS) was tested in a heterogeneous sample of Dutch wage earners (N = 1013). Confirmatory factor analysis and analysis of measurement invariance were conducted to establish the factorial structure of the measure. Also, convergent, divergent, and construct validity of the LCS were investigated. The findings showed that the newly developed instrument for learning climate has good psychometric properties: the three-factor structure was supported and the sub-scales were reliable. Furthermore, the LCS showed good convergent and divergent validity.     

Productive Failure in Learning Math

When learning a new math concept, should learners be first taught the concept and its associated procedures and then solve problems, or solve problems first even if it leads to failure and then be taught the concept and the procedures? Two randomized‐controlled studies found that both methods lead to high levels of procedural knowledge. However, students who engaged in problem solving before being taught demonstrated significantly greater conceptual understanding and ability to transfer to novel problems than those who were taught first. The second study further showed that when given an opportunity to learn from the failed problem‐solving attempts of their peers, students outperformed those who were taught first, but not those who engaged in problem solving first. Process findings showed that the number of student‐generated solutions significantly predicted learning outcomes. These results challenge the conventional practice of direct instruction to teach new math concepts and procedures, and propose the possibility of learning from one's own failed problem‐solving attempts or those of others before receiving instruction as alternatives for better math learning.     

Change one can believe in: Adding learning to computational models of self-regulation

Theories of self-regulation describe motivation as a dynamic process of goal choice and goal striving. To facilitate those processes, individuals learn about themselves and their environment, which is an internal dynamic process. However, the precise nature of the relationship between these learning and motivational processes is not well specified. This article integrates formal models of learning, goal choice, and goal striving using a single information processing structure found in self-regulatory models of motivation. Results from two published studies ( and ) validate the model. In both cases, the integrated model accounts for findings that previous theories of self-regulation could not explain. Discussion focuses on additional tests to validate the model and on the value of incorporating formal models from the cognitive, learning, and motivational literatures to account for behavior in complex settings and over time.     

Emergence and retention of learning in early fetal development

Prior research has demonstrated that the late-term fetus is capable of learning and then remembering a passage of speech for several days, but there are no data to describe the earliest emergence of learning a passage of speech, and thus, how long that learning could be remembered before birth. This study investigated these questions. Pregnant women began reciting or speaking a passage out loud (either Rhyme A or Rhyme B) when their fetuses were 28 weeks gestational age (GA) and continued to do so until their fetuses reached 34 weeks of age, at which time the recitations stopped. Fetuses’ learning and memory of their rhyme were assessed at 28, 32, 33, 34, 36 and 38 weeks. The criterion for learning and memory was the occurrence of a stimulus-elicited heart rate deceleration following onset of a recording of the passage spoken by a female stranger. Detection of a sustained heart rate deceleration began to emerge by 34 weeks GA and was statistically evident at 38 weeks GA. Thus, fetuses begin to show evidence of learning by 34 weeks GA and, without any further exposure to it, are capable of remembering until just prior to birth. Further study using dose–response curves is needed in order to more fully understand how ongoing experience, in the context of ongoing development in the last trimester of pregnancy, affects learning and memory.     

Measuring Epistemic Curiosity in Young Children

Epistemic curiosity (EC) is the desire to obtain new knowledge capable of either producing positive experiences of intellectual interest (I‐type) or of reducing undesirable conditions of informational deprivation (D‐type). Although researchers acknowledge that there are individual differences in young children's epistemic curiosity, there are no existing measures to assess the I‐ and D‐type constructs of EC in early childhood. The aim of this study was to develop and validate parent‐report scales that reliably assessed early expressions of I‐ and D‐ type EC in young children. To develop the I/D‐Young Children (I/D‐YC) scales, 16 potential items were administered to 316 parents of children aged 3 to 8. These items were adaptations of an existing adult self‐report measure of EC as well as newly developed items. Confirmatory factor analyses demonstrated that a 10‐item 2‐factor (5 I‐type, 5 D‐type) model had the best fit. Construct validity analyses and psychometric data indicated that our newly developed I/D‐YC scales are valid and reliable measures of individual differences in early expressions of I‐ and D‐type EC. Copyright © 2014 John Wiley & Sons, Ltd.     

An Evolutionary Analysis of Learned Attention

Humans and many other species selectively attend to stimuli or stimulus dimensions—but why should an animal constrain information input in this way? To investigate the adaptive functions of attention, we used a genetic algorithm to evolve simple connectionist networks that had to make categorization decisions in a variety of environmental structures. The results of these simulations show that while learned attention is not universally adaptive, its benefit is not restricted to the reduction of input complexity in order to keep it within an organism's processing capacity limitations. Instead, being able to shift attention provides adaptive benefit by allowing faster learning with fewer errors in a range of ecologically plausible environments.     

Predicting students’ learning strategies: The contribution of chronotype over personality

Students’ learning strategies as well as the search for its determinants have gained expanding interest in psychology and educational research. The present study investigated the contribution of chronotype, another construct of increasing importance in the academic context, to students’ learning strategies controlling for the established predictor of personality and its relations to chronotype. A sample of 318 college students (mean age = 22.6, SD = 2.5; age range = 19–34) was assessed online through self-report questionnaires. We discriminated between two learning strategy factors aggregated by a diverse set of learning strategies, learning discipline and elaboration. First, results confirmed significant associations between most personality scales and students’ strategy use. Furthermore, we found evidence for significant associations between chronotype and personality, as well as chronotype and learning strategies. Finally, structural equation modeling revealed that openness, agreeableness, conscientiousness, and morningness were significant predictors for elaboration, whereas learning discipline was significantly predicted by conscientiousness and morningness. We conclude that chronotype plays an important role explaining students’ learning strategies over and above personality.     

L’entraînement cognitivo-perceptif basé sur la vidéo et ses modes d’instructions

This literature review examines both the effectiveness of simulation training video to improve decision-making of athletes and secondly, the benefits of explicit, implicit and guided instructions used during video-based perceptual training. Thus, it is shown that video-based perceptual training improves cognitive and perceptual skills resulting in decrease in decision time and increase in decision's accuracy in simulations and field. Furthermore, the benefits of explicit approaches in early stage of learning to promote rapid acquisition of knowledge is highlighted. On the other hand, it is suggested that implicit approaches will be more conducive to the experts to ensure that they “reinvest” their knowledge in stressful situations. Finally, it is envisaged that guided approaches are relevant alternatives to explicit and implicit approaches.     

Entraînement à la prise de décision avec un serious gaming : délibération et conflits de valeurs

This research analyzes the use of serious gaming (simulator of helicopter) in a management training program for executives. We have observed 16 game sessions and interviewed 44 volunteer participants from the same company through this training program. We have identified few sparring matches between executives, mostly concerning the tasks commanded. The discussion is based on the “how to do” and not on the pursued purposes even when the instructions are ethically questionable. From the theoretical and methodological frame of the psychosociology of the work perspective (Lhuilier, 2013), our analysis highlighted the lack even the absence of collective deliberation before the decision-making process and their modalities in game experience and in real work, after the training program.     

Can we distinguish an “I” and “ME” during listening?—an event-related EEG study on the processing of first and second person personal and possessive pronouns

Theoretically, stimuli can be related to the self as subject (“I”) or object (“ME”) of experience. This event-related brain potential (ERP) study investigated whether listening to personal and possessive pronouns elicits different modes of self-processing regarding time-course and neural sources. Going beyond previous research, first (1PP) and second person (2PP) pronouns were included to determine the specificity of self-processing. Participants listened passively to German pronouns while the electroencephalogram was recorded. Modulation of ERPs revealed a processing advantage for the 2PP personal pronoun “du” (“you”) already in early time windows. Regarding possessive pronouns, N1 amplitudes indicated increased attention orientation to the 1PP pronoun “mein” (“my”), whereas during later time windows, processing of 1PP and 2PP possessive pronouns did not differ but differed from the third person pronoun “sein” (“his”). ERP source imaging suggests that primary sensory brain regions (auditory cortex), the insula and cortical midline structures are differentially involved into these two processing modes. The results support the idea of distinct self-processing modes (“I” and “ME”) and confirm their dynamic nature. Moreover, they demonstrate that on a neural level neither “I” or “ME” are invariantly tied to the first person, in line with the hypothesis that self-processing is relational and context-dependent.