Adolescent academic achievement: A model of social support and grit

Grit has been defined as passionate perseverance toward long-term challenging goals and it is associated with various positive outcomes for youth, including academic achievement. However, less is known about these associations for the two facets of grit (i.e., perseverance of effort, consistency of interest) and few studies have examined the link between grit and perceived social support. The present study examined the group-level demographic differences (i.e., gender, grade, socioeconomic status, and special education status) of grit in a high school sample (N = 1,077). In addition, direct associations between grit and perceived social support from multiple sources (i.e., teacher, classmate, parent) were examined, as well as a potential enhancing effect of social support as a moderator of the relation between grit and academic achievement. Results indicated positive associations among grit and its facets with social support from parents and classmates. Furthermore, the positive relation between grit and achievement was stronger for students reporting high social support from teachers, but not other sources (i.e., classmates, parents). Practical and theoretical implications for promoting student success are discussed.     

Index of science reading awareness: An interactive-constructive model,test verification,and grades 4–8 results

The purpose of this study was to develop and verify the Index of Science Reading Awareness (ISRA) based on a model of an efficient, successful interactive-constructive science reader and three independent metacognitive awareness domains. Several researchers have noted the need for efficient, reliable, and valid measures of metacognition. ISRA data collected on 532 students (Grades 4–8) were analyzed using factor analyses, linear structural modeling, and analyses of variance (ANOVAs) to help verify the model and the test. The factor analyses and linear structural modeling indicated that these data did not support the assumption about the three independent metacognitive awareness domains, but suggested that the model and the test were structured around the design features of science reading, science text, and science reading strategies. One-way ANOVAs indicated significant, predicted reading ability and gender differences but unexpected grade-level differences. The composite metacognitive awareness data indicated that most Grade 4–8 students have surface knowledge about science reading, science text, and science reading strategies, and indicated specific targets for explicit science reading instruction. © 1998 John Wiley & Sons, Inc. J Res Sci Teach 35: 27-51, 1998.     

Metacognition and Human Performance Improvement Originally published in 1988, PIQ 1.1

An understanding of the uses of metacognition provides a powerful tool toward developing quality and efficiency in task learning and performance. Metacognition is the executive controller of cognitive processes responsible both for self regulated learning and work performance outcomes. Comprehension monitoring and motivation are two prime components of metacognition which are responsible for commitment to, and definition of, goals, monitoring progress toward goals, and activating the appropriate thinking skills to achieve goals. Specific thinking skill categories of attention, organization, and elaboration are described with examples of how specific techniques in each category can optimize learning and job performance. Research on training of metacognitive skills through both detached and embedded skill-development programs is reviewed. In addition, ways to compensate for metacognitive skills when training is not cost-effective are described. The relationship between metacognitive skills and effective management of work performance is stressed.     

The Effects of Incentives on Workplace Performance: A Meta‐analytic Review of Research Studies 1

A meta‐analytic review of all adequately designed field and laboratory research on the use of incentives to motivate performance is reported. Of approximately 600 studies, 45 qualified. The overall average effect of all incentive programs in all work settings and on all work tasks was a 22% gain in performance. Team‐directed incentives had a markedly superior effect on performance compared to individually‐directed incentives. This effect was not influenced by the location of the study (business, government, or school), the competitive structure of the incentive system (programs where only the highest performers get incentives versus programs where everyone who increased performance receives incentives), the type of study (whether the study was a laboratory experiment or a field study), or the performance outcome (quality, quantity, or both). In these studies, money was found to result in higher performance gains than non‐monetary, tangible incentives (gifts, travel). More research is needed on the relative cost‐benefit of cash and gift incentives, and the way different types of tangible incentives are selected. Long‐term programs led to greater performance gains than shorter‐term programs did, and somewhat greater performance gains were realized for manual than for cognitive work. Explanations based on cognitive psychological principles accompany each of the analyses.     

The Deep-Time Digital Earth program: data-driven discovery in geosciences

Current barriers hindering data-driven discoveries in deep-time Earth (DE) include: substantial volumes of DE data are not digitized; many DE databases do not adhere to FAIR (findable, accessible, interoperable and reusable) principles; we lack a systematic knowledge graph for DE; existing DE databases are geographically heterogeneous; a significant fraction of DE data is not in open-access formats; tailored tools are needed. These challenges motivate the Deep-Time Digital Earth (DDE) program initiated by the International Union of Geological Sciences and developed in cooperation with national geological surveys, professional associations, academic institutions and scientists around the world. DDE’s mission is to build on previous research to develop a systematic DE knowledge graph, a FAIR data infrastructure that links existing databases and makes dark data visible, and tailored tools for DE data, which are universally accessible. DDE aims to harmonize DE data, share global geoscience knowledge and facilitate data-driven discovery in the understanding of Earth''s evolution.     

Teaching structured troubleshooting: integrating a standard methodology into an information technology program

Troubleshooting skills are integral for the Information Technology professional. In order to address faculty concerns that students were not effectively learning required troubleshooting skills, a standardized troubleshooting methodology (the DECSAR Method) was created and integrated into the standard curriculum of a college information technology program. Components of troubleshooting were measured using a pre-/post-testing approach with the Social Problem Solving Inventory—Revised. Testing indicated improvement in several areas of troubleshooting reinforced by DECSAR. The context in which the troubleshooting methodology was applied was associated with post-test change.