Motor Learning: Reflections on the Past 40 Years of Research

2021 ◽  
pp. 1-9
Author(s):  
Timothy D. Lee ◽  
Heather Carnahan

The authors reflect on the dire state of motor learning at the time of Brooks’s book and consider reasons why research was resurrected in the 1980s and flourished in the ensuing years. In so doing, they provide an overview of the various research topics that have been studied, discuss the influence of motor learning on other fields of study, and consider the future of motor learning research both within and outside the academic study of kinesiology.

Author(s):  
Silvia Gherardi

Purpose – The purpose of this paper is to contribute to the ten years of the journal through a personal reflection. Design/methodology/approach – A review of the articles published in the last ten years. Findings – I argue that what has distinguished QROM in these ten years are two distinctive features: reflexivity on practices of qualitative research, and openness to the application of qualitative methods to unusual research topics. Originality/value – The main limit of the paper resides in the subjectivity of the person who has read the articles. Other readers may have different opinions and may have chosen different criteria.


2020 ◽  
Author(s):  
Yang Bai ◽  
Hongxiu Li ◽  
Yong Liu

AbstractThis paper aims to provide a comprehensive understanding of the evolution of major research themes and trends in e-learning research. A co-word analysis is applied for the analysis of the 21,656 keywords collected from 7214 articles published in 10 journals in the field of e-learning from the years 1999 to 2018. Specifically, a cluster analysis, social network analysis, strategic diagram, and graph theory were applied in the analysis for two time periods: 1999–2008 and 2009–2018. The study detects the bridging, popular, and core topics in e-learning research for the two periods. The research results indicate that e-learning research has undergone a health evolution over the past two decades. There is a temporal continuity of e-learning research because some research topics have kept their continuity over the studied 20 years. Meanwhile, the research traditions in the e-learning field are also continuously evolving with the development of new technologies. The results also offer useful hints on the future direction of how the field may evolve.


1999 ◽  
Vol 25 (5) ◽  
pp. 161-182 ◽  
Author(s):  
COLIN GRAY

The confessions of a neoclassical realistIn 1972, Hedley Bull wrote that ‘the sources of facile optimism and narrow moralism never dry up, and the lessons of the “realists” have to be learnt afresh by every new generation.‘ He proceeded to claim, with undue emphasis, that ‘in terms of the academic study of international relations, the stream of thinking and writing that began with Niebuhr and Carr has long run its course.’ The scholarly problems with classical realist theory are indeed severe. However, it would be a most grievous error to consign such theory to the bin marked ‘yesterday's solutions for yesterday's problems.’ If the academic study of international relations can find little save period-piece interest in the ideas of the classical realists, that is more a comment upon the competence of scholarship today than upon any change in world conditions.


2019 ◽  
Author(s):  
Quan-Hoang Vuong ◽  
Viet-Phuong La ◽  
Manh-Toan Ho ◽  
Thu-Trang Vuong ◽  
Hanh Phuong Hoang

Entrepreneurship has contributed to the rise and stability of Vietnamese economy through innovation, job creation, and nurturing entrepreneurial spirit. Using a structured database of Vietnamese researchers’ scientific publications, the study was able to identify 111 research on entrepreneurship from 2008 to 2018. Then, a homemade software was designed to analyze the data, and produce descriptive tables, charts, and network maps. The results show limited scope and quantity over the past ten years. Moreover, research topics were scattered with most interests focused on management, finance, and legal issues. Technology, gender, and internationalization are attracting public attention but remain underresearched. In the future, entrepreneurial venture and startups in Vietnam will benefit from the growing number of scientific publications.


What does it mean—and what might it yet come to mean—to write ‘history’ in the twenty-first century? This volume brings together leading historians from across the globe to ask what being an historian should mean in their particular fields of study. Taking their cue from one of the previous century’s greatest historians, Eric Hobsbawm, and his interests across many periods and places, the essays approach their subjects with an underlying sense of what the best role an historian might seek to play, and attempt to help twenty-first century society to understand ‘how we got here’. They present new work in their subfields, but also pointers to how their specialisms are developing, how they might further grow in the future, and how different areas of focus might speak to the larger challenges of history—both for the discipline itself and for its relationship to other fields of academic inquiry. Like Hobsbawn, the authors in this collection know that history matters. They speak to both the past and the present and, in so doing, present some of the most exciting new lines of research in a broad array of subjects, from the medieval period to the present.


Author(s):  
Mairi McDermott

In this paper, I invite you into some considerations of what autoethnography might do in research, what it might teach us as researchers. In doing so, I return to an autoethnographic study I engaged in a few years ago which was contoured through the question: How do teachers experience student voice pedagogies? In that study, I experienced autoethnography as a creative methodology that allowed me to go back to two experiences I had with youth, or student voice projects. The paper embodies a return to the autoethnographic study of my doctoral research, which itself was a return to the previously experienced student voice projects; a return that is being propelled by my new position as a professor, supervising students in the mappings of their research landscapes. Returning, thus, becomes a central motif that invites dwelling in the simultaneity of pastpresentfuture – wherein the present is the folding in of the past and the future through attuning to embodied ways of knowing, sensing, being, and doing -- disrupting colonial epistemological legacies of progress and linearity found in conventional and taken-for-granted research practices. I ask, what does it mean to go back, in efforts oriented towards a future (such as social justice)? What might it mean to conceptualize time differently within our research, teaching, and learning? I argue that autoethnography, when engaged through an active nomadism, opens space for learning about our research practices, ourselves as researchers and pedagogues, as well as deeper understandings of our research topics.


Semantic Web ◽  
2022 ◽  
pp. 1-17
Author(s):  
Sukhwan Jung ◽  
Aviv Segev

Topic evolution helps the understanding of current research topics and their histories by automatically modeling and detecting the set of shared research fields in academic publications as topics. This paper provides a generalized analysis of the topic evolution method for predicting the emergence of new topics, which can operate on any dataset where the topics are defined as the relationships of their neighborhoods in the past by extrapolating to the future topics. Twenty sample topic networks were built with various fields-of-study keywords as seeds, covering domains such as business, materials, diseases, and computer science from the Microsoft Academic Graph dataset. The binary classifier was trained for each topic network using 15 structural features of emerging and existing topics and consistently resulted in accuracy and F1 over 0.91 for all twenty datasets over the periods of 2000 to 2019. Feature selection showed that the models retained most of the performance with only one-third of the tested features. Incremental learning was tested within the same topic over time and between different topics, which resulted in slight performance improvements in both cases. This indicates there is an underlying pattern to the neighbors of new topics common to research domains, likely beyond the sample topics used in the experiment. The result showed that network-based new topic prediction can be applied to various research domains with different research patterns.


Author(s):  
Agnes Kukulska-Hulme ◽  
Mike Sharples ◽  
Marcelo Milrad ◽  
Inmaculada Arnedillo-Sánchez ◽  
Giasemi Vavoula

In the past two decades, European researchers have conducted many significant mobile learning projects. The chapter explores how these projects have arisen and what each one has contributed, so as to show the driving forces and outcomes of European innovation in mobile learning. The authors identify context as a central construct in European researchers’ conceptualizations of mobile learning and examine theories of learning for the mobile world, based on physical, technological, conceptual, social and temporal mobility. The authors also examine the impacts of mobile learning research on educational practices and the implications for policy. Finally, they suggest future challenges for researchers, developers and policy makers in shaping the future of mobile learning.


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