Do tests facilitate decision‐making performance on a transfer task?

Testing can improve later recall of information. However, much less is known about the potential use of testing in promoting the transfer of learning. In this study, we investigated whether testing improves decision‐making performance on a transfer task in a sample of 98 university students using a between‐subjects design. After studying several statements about a fictional disease under different learning conditions (restudy, free recall, and multiple‐choice), participants were asked to recall this information and subsequently make medical decisions concerning the fictional disease (i.e., the transfer task). The present study found no advantage of testing conditions over restudy condition on the 30‐min delayed memory task. However, participants in the active retrieval practice (i.e., free recall) group performed significantly better on the transfer task over those in both restudy and multiple‐choice groups. These results suggest free‐recall tests promote the transfer of learning.     

Transmission of reduction‐oriented crafting among colleagues: A diary study on the moderating role of working conditions

Zooming into reduction‐oriented job crafting among employees, next to minimizing demands (i.e., making a job less strenuous), we introduced optimizing demands (i.e., simplifying the job and making work processes more efficient) and suggested that optimizing demands should be positively related to work engagement, whereas minimizing demands negatively related to work engagement. Moreover, we suggested that both forms of reduction‐oriented crafting can be transferred among colleagues, and this will particularly occur in jobs that are high on demands (workload and emotional demands), low on resources (autonomy), and when the colleagues have a high‐quality relationship. We examined these hypotheses among 65 dyads of employees who filled in a general questionnaire and a diary for three working days. Multilevel analyses supported the transmission of both job crafting dimensions among colleagues. Moreover, there is more transmission of minimizing demands among colleagues when workload and emotional demands are high and autonomy is low. Additionally, optimizing demands was transmitted among colleagues when autonomy was low and quality of relationship with colleague was high. Optimizing demands was positively related to work engagement, whereas minimizing demands was unrelated to work engagement. These findings imply that optimizing demands is a favourable behaviour and can be transmitted among colleagues under specific conditions.

Practitioner points

• Working smarter is related to higher work engagement
• Employees model their colleague's proactive behaviour
• Unfavourable working conditions stimulate modelling behaviour of colleagues

     

Hypercorrection of high-confidence errors in the classroom

People often have erroneous knowledge about the world that is firmly entrenched in memory and endorsed with high confidence. Although strong errors in memory would seem difficult to “un-learn,” evidence suggests that errors are more likely to be corrected through feedback when they are originally endorsed with high confidence compared to low confidence. This hypercorrection effect has been predominantly studied in laboratory settings with general knowledge (i.e., trivia) questions, however, and has not been systematically explored in authentic classroom contexts. In the current study, college students in an introductory horticulture class answered questions about the course content, rated their confidence in their answers, received feedback of the correct answers, and then later completed a posttest. Results revealed a significant hypercorrection effect, along with a tendency for students with higher prior knowledge of the material to express higher confidence in, and in turn more effective correction of, their error responses.     

BETWEEN KNOWING AND BEING: REFLECTIONS ON BEING TAUGHT SCIENCE AND RELIGION BY PROFESSOR CHRISTOPHER SOUTHGATE

It is a joy to be asked to contribute to this commemorative edition of Zygon, in honor of my friend Christopher Southgate. But a narrowly academic article seems not to fit the brief of writing a reflection on Southgate's teaching of science and religion, as one who has witnessed it, gladly, as both student and colleague. What follows, then, is deliberately reflective in tone, with little in the way of academic references apart from occasional links to Southgate's own work—though, I hope, enough of a strand of argument to justify inclusion in these pages. My argument is simply put: Southgate teaches by not teaching, but by drawing out knowledge from students and thereby empowering their growth. He is an exemplar, a kind man committed to the unfolding of understanding, interested too in forming dispositions in his students that will lead to their flourishing as thinkers and as people.     

Developing a Learning Progression for Curriculum,Instruction, and Student Learning: An Example from Mathematics Education

Learning progressions have been demarcated by some for science education, or only concerned with levels of sophistication in student thinking as determined by logical analyses of the discipline. We take the stance that learning progressions can be leveraged in mathematics education as a form of curriculum research that advances a linked understanding of students learning over time through careful articulation of a curricular framework and progression, instructional sequence, assessments, and levels of sophistication in student learning. Under this broadened conceptualization, we advance a methodology for developing and validating learning progressions, and advance several design considerations that can guide research concerned with engendering forms of mathematics learning, and curricular and instructional support for that learning. We advance a two-phase methodology of (a) research and development, and (b) testing and revision. Each phase involves iterative cycles of design and experimentation with the aim of developing a validated learning progression. In particular, we gathered empirical data to revise our hypothesized curricular framework and progression and to measure change in students. thinking over time as a means to validate both the effectiveness of our instructional sequence and of the assessments designed to capture learning. We use the context of early algebra to exemplify our approach to learning progressions in mathematics education with a focus on the concept of mathematical equivalence across Grades 3-5. The domain of work on research on learning over time is evolving; our work contributes a broadened role for learning progressions work in mathematics education research and practice.     

Context Matters for Social-Emotional Learning: Examining Variation in Program Impact by Dimensions of School Climate

This paper examines whether three dimensions of school climate—leadership, accountability, and safety/respect—moderated the impacts of the INSIGHTS program on students’ social‐emotional, behavioral, and academic outcomes. Twenty‐two urban schools and N = 435 low‐income racial/ethnic minority students were enrolled in the study and received intervention services across the course of 2 years, in both kindergarten and first grade. Intervention effects on math and reading achievement were larger for students enrolled in schools with lower overall levels of leadership, accountability, and safety/respect at baseline. Program impacts on disruptive behaviors were greater in schools with lower levels of accountability at baseline; impacts on sustained attention were greater in schools with lower levels of safety/respect at baseline. Implications for Social‐Emotional Learning program implementation, replication, and scale‐up are discussed.     

Learning General Phonological Rules From Distributional Information: A Computational Model

Phonological rules create alternations in the phonetic realizations of related words. These rules must be learned by infants in order to identify the phonological inventory, the morphological structure, and the lexicon of a language. Recent work proposes a computational model for the learning of one kind of phonological alternation, allophony (Peperkamp, Le Calvez, Nadal, & Dupoux, 2006). This paper extends the model to account for learning of a broader set of phonological alternations and the formalization of these alternations as general rules. In Experiment 1, we apply the original model to new data in Dutch and demonstrate its limitations in learning nonallophonic rules. In Experiment 2, we extend the model to allow it to learn general rules for alternations that apply to a class of segments. In Experiment 3, the model is further extended to allow for generalization by context; we argue that this generalization must be constrained by linguistic principles.     

Non‐Bayesian Noun Generalization in 3‐ to 5‐Year‐Old Children: Probing the Role of Prior Knowledge in the Suspicious Coincidence Effect

It is unclear how children learn labels for multiple overlapping categories such as “Labrador,” “dog,” and “animal.” Xu and Tenenbaum (2007a) suggested that learners infer correct meanings with the help of Bayesian inference. They instantiated these claims in a Bayesian model, which they tested with preschoolers and adults. Here, we report data testing a developmental prediction of the Bayesian model—that more knowledge should lead to narrower category inferences when presented with multiple subordinate exemplars. Two experiments did not support this prediction. Children with more category knowledge showed broader generalization when presented with multiple subordinate exemplars, compared to less knowledgeable children and adults. This implies a U‐shaped developmental trend. The Bayesian model was not able to account for these data, even with inputs that reflected the similarity judgments of children. We discuss implications for the Bayesian model, including a combined Bayesian/morphological knowledge account that could explain the demonstrated U‐shaped trend.     

Word Meanings Evolve to Selectively Preserve Distinctions on Salient Dimensions

Words refer to objects in the world, but this correspondence is not one‐to‐one: Each word has a range of referents that share features on some dimensions but differ on others. This property of language is called underspecification. Parts of the lexicon have characteristic patterns of underspecification; for example, artifact nouns tend to specify shape, but not color, whereas substance nouns specify material but not shape. These regularities in the lexicon enable learners to generalize new words appropriately. How does the lexicon come to have these helpful regularities? We test the hypothesis that systematic backgrounding of some dimensions during learning and use causes language to gradually change, over repeated episodes of transmission, to produce a lexicon with strong patterns of underspecification across these less salient dimensions. This offers a cultural evolutionary mechanism linking individual word learning and generalization to the origin of regularities in the lexicon that help learners generalize words appropriately.