Institution
Ontario Institute for Studies in Education
About: Ontario Institute for Studies in Education is a based out in . It is known for research contribution in the topics: Curriculum & Higher education. The organization has 1798 authors who have published 3807 publications receiving 193985 citations. The organization is also known as: Ontario College of Education & OISE.
Papers published on a yearly basis
Papers
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TL;DR: In this article, a subset of these two types of movement (backpackers and seasonal workers) are investigated to investigate how these mobilities are determined, articulated, and shape various identities of the actors involved.
Abstract: Concepts of mobility are rapidly moving across disciplines, as scholars grapple with the complexities of movement that characterise our world today. Although not a new phenomenon, the conditions of globalisation have facilitated the movement of a record number of people; individuals who are crossing international borders for work, leisure, safety, and security. Among these groups of people, tourists and labour migrants account for the largest groups traveling worldwide. Although abundant scholarly research is available on the transnational voyages of both groups, in this paper I seek to juxtapose a subset of these two types of movement—backpackers and seasonal workers—to investigate how these mobilities are determined, articulated, and shape various identities of the actors involved. Moreover, by referring to material, juridical, and spatial conditions that facilitate the mobility of these two groups, I will examine who is benefiting from these manifold movements and whether these mobilities represent new...
93 citations
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TL;DR: In this article, a comprehensive review of the literature of gender differences in computer-related behavior reveals a myriad of conflicting results and a critical analysis of the empirical methods used to collect data is offered as one means of sorting out the numerous inconsistencies found.
Abstract: A comprehensive review of the literature of gender differences in computer-related behavior reveals a myriad of conflicting results. A critical analysis of the empirical methods used to collect data is offered as one means of sorting out the numerous inconsistencies found. Nine areas are discussed where common mistakes are made, including 1) sample selection, 2) sample size, 3) scale development, 4) scale quality, 5) the use of univariate and multivariate analyses, 6) regression analysis, 7) construct definition, 8) construct testing, and 9) the presentation of results. It is concluded that although a number of researchers have fallen prey to making these mistakes, in most cases, easy remedies are available. Above all, researchers are encouraged to present more detailed and clear information regarding methods and results.
93 citations
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TL;DR: In this paper, a critical analysis of Kohlberg's stage theory of moral development in the context of an ideology critique is presented, and it is shown that, from this point of view, the stage theory does not hold for all moral development.
Abstract: This article attempts a critical analysis of Kohlberg’s stage theory of moral development in the context of an ideology critique. From this point of view, Kohlberg’s
93 citations
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TL;DR: Examining a broad range of substance classes, with differing physiological properties and effects, in relation to specific disordered eating behaviors, could contribute to theory development regarding the functions of the specific co-occurring behaviors.
93 citations
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TL;DR: Interest in applying cognitive load theory in health care simulation is growing and measures that are sensitive to changes in cognitive load arising from different instructional designs are needed.
Abstract: Context
Interest in applying cognitive load theory in health care simulation is growing. This line of inquiry requires measures that are sensitive to changes in cognitive load arising from different instructional designs. Recently, mental effort ratings and secondary task performance have shown promise as measures of cognitive load in health care simulation.
Objectives
We investigate the sensitivity of these measures to predicted differences in intrinsic load arising from variations in task complexity and learner expertise during simulation-based surgical skills training.
Methods
We randomly assigned 28 novice medical students to simulation training on a simple or complex surgical knot-tying task. Participants completed 13 practice trials, interspersed with computer-based video instruction. On trials 1, 5, 9 and 13, knot-tying performance was assessed using time and movement efficiency measures, and cognitive load was assessed using subjective rating of mental effort (SRME) and simple reaction time (SRT) on a vibrotactile stimulus-monitoring secondary task.
Results
Significant improvements in knot-tying performance (F(1.04,24.95) = 41.1, p < 0.001 for movements; F(1.04,25.90) = 49.9, p < 0.001 for time) and reduced cognitive load (F(2.3,58.5) = 57.7, p < 0.001 for SRME; F(1.8,47.3) = 10.5, p < 0.001 for SRT) were observed in both groups during training. The simple-task group demonstrated superior knot tying (F(1,24) = 5.2, p = 0.031 for movements; F(1,24) = 6.5, p = 0.017 for time) and a faster decline in SRME over the first five trials (F(1,26) = 6.45, p = 0.017) compared with their peers. Although SRT followed a similar pattern, group differences were not statistically significant.
Conclusions
Both secondary task performance and mental effort ratings are sensitive to changes in intrinsic load among novices engaged in simulation-based learning. These measures can be used to track cognitive load during skills training. Mental effort ratings are also sensitive to small differences in intrinsic load arising from variations in the physical complexity of a simulation task. The complementary nature of these subjective and objective measures suggests their combined use is advantageous in simulation instructional design research.
93 citations
Authors
Showing all 1798 results
Name | H-index | Papers | Citations |
---|---|---|---|
Keith E. Stanovich | 98 | 249 | 47854 |
Ellen Bialystok | 95 | 264 | 34549 |
Russell Schachar | 88 | 277 | 28373 |
Jia Li | 85 | 1487 | 34168 |
Rosemary Tannock | 84 | 228 | 24469 |
Kenneth Leithwood | 83 | 220 | 33506 |
Michael Fullan | 79 | 180 | 45254 |
Andy Hargreaves | 72 | 188 | 27079 |
Linda S. Siegel | 67 | 203 | 17216 |
Alison Gopnik | 66 | 208 | 18808 |
Christopher Day | 66 | 237 | 18904 |
Jim Cummins | 66 | 203 | 28659 |
Merrill Swain | 63 | 147 | 28814 |
Michael D. Cusimano | 62 | 452 | 20142 |
Kang Lee | 62 | 356 | 15081 |