Vocabulary Learning and Assessment: A Commentary on Four Studies for JALT Vocabulary SIG

Four papers by Chie Ogawa, Haidee Thomson, Michael Holsworthm and Darrell Wilkinson were presented in the Vocabulary Learning and Assessment session at the Eighth Annual Japan Association for Language Teaching (JALT) Vocabulary Special Interest Group (SIG) Symposium, at the University of Niigata, Japan, in May 2020. The papers raised methodological questions, proposed approaches to assessing spoken and written word knowledge and fluency, and presented some experimental findings. It is my pleasure to discuss these papers in terms of the ideas proposed by the four researchers, their implementation and potential future directions.

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The SPECTRA Collaboration OMERACT Special Interest Group: Current Research and Future Directions

The Journal of Rheumatology ◽

10.3899/jrheum.161197 ◽

2017 ◽

Vol 44 (12) ◽

pp. 1911-1915 ◽

Cited By ~ 6

Author(s):

Kathryn S. Stok ◽

Stephanie Finzel ◽

Andrew J. Burghardt ◽

Philip G. Conaghan ◽

Cheryl Barnabe

Keyword(s):

Rheumatoid Arthritis ◽

Computed Tomography ◽

Clinical Trials ◽

Direct Measurement ◽

Interest Group ◽

Special Interest ◽

Observational Studies ◽

Special Interest Group ◽

Future Directions ◽

Longitudinal Observational Studies

Objective.High-resolution peripheral quantitative computed tomography (HR-pQCT) has the potential to improve radiographic progression determination in clinical trials and longitudinal observational studies. The goal of this work was to describe the current state of research presented at Outcome Measures in Rheumatology (OMERACT) 2016 and ensuing future directions outlined during discussion among attendees.Methods.At OMERACT 2016, SPECTRA (Study grouP for xtrEme-Computed Tomography in Rheumatoid Arthritis) introduced efforts to (1) validate the HR-pQCT according to OMERACT guidelines, focusing on rheumatoid arthritis (RA), and (2) find alternatives for automated joint space width (JSW) analysis. The Special Interest Group (SIG) was presented to patient research partners, physicians/researchers, and SIG leaders followed by a 40-min discussion on future directions.Results.A consensus definition for RA erosion using HR-pQCT was demonstrated through a systematic literature review and a Delphi exercise. Histopathology and perfusion studies were presented that analyzed the true characteristics of cortical breaks in HR-pQCT images, and to provide criterion validity. Results indicate that readers were able to discriminate between erosion and small vascular channels. Moderate reliability (ICC 0.206–0.871) of direct erosion size measures was shown, which improved (> 0.9) only when experienced readers were considered. Quantification of erosion size was presented for scoring, direct measurement, and volumetric approaches, as well as a reliability exercise for direct measurement. Three methods for JSW measurement were compared, all indicating excellent reproducibility with differences at the extremes (i.e., near-zero and joint edge thickness).Conclusion.Initial reports on HR-pQCT are promising; however, to consider its use in clinical trials and longitudinal observational studies, it is imperative to assess the responsiveness of erosion measurement quantification.

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The Development of CELE-UNAM Mediateca (1996-2015)

Studies in Self-Access Learning Journal ◽

10.37237/060206 ◽

2015 ◽

pp. 219-230

Author(s):

Marina del Carmen Chávez Sánchez ◽

María de la Paz Adelia Peña Clavel

Keyword(s):

Foreign Language ◽

Language Teaching ◽

Learner Autonomy ◽

Foreign Language Teaching ◽

The Self ◽

Learning Space ◽

Future Directions ◽

Access System ◽

The Creation ◽

The University

This paper describes the creation and evolution of the self-access centre (mediateca) at the Foreign Language Teaching Center at the National Autonomous University of Mexico, since its establishment in 1996, and its present profile as a learning space in the context of the university language center. It addresses the organization of the self-access system and describes the services it provides to foster learner autonomy, as well as the problems encountered in the process. It mentions some future directions.

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An Online English Speech Contest: What, How, & Who

JALT PIE SIG: Mask and Gavel ◽

10.37546/jaltsig.pie4.1-3 ◽

2015 ◽

Vol 4 (1) ◽

pp. 48-61

Author(s):

Vivian Bussinguer-Khavari ◽

James Carpenter ◽

David Kluge ◽

Dawn Kobayashi

Keyword(s):

Interest Group ◽

Special Interest ◽

Language Teaching ◽

Special Interest Group ◽

Rater Reliability ◽

The Creation

The Japan Online English Speech Contest (JOESC) was created in 2014 by the Speech, Drama, and Debate Special Interest Group (SDD SIG) of the Japan Association for Language Teaching (JALT). This paper describes what the contest is, how it was created, who participated, and how it was administered. It also explains the various problems encountered, specifically regarding the creation of a judging rubric and the inter-rater reliability among all the judges. Some suggestions for improvement, including greater participation in the rubric-creating process and pre-contest training of judges, will help create a better JOESC 2015.

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Fifteenth International Conference on Artificial Intelligence and Law (ICAIL 2015)

AI Magazine ◽

10.1609/aimag.v37i1.2633 ◽

2016 ◽

Vol 37 (1) ◽

pp. 107-108

Author(s):

Katie Atkinson ◽

Jack Conrad ◽

Anne Gardner ◽

Ted Sichelman

Keyword(s):

Artificial Intelligence ◽

Interest Group ◽

Special Interest ◽

San Diego ◽

International Association ◽

International Conference ◽

Computing Machinery ◽

Artificial Intelligence And Law ◽

The World ◽

The University

The 15th International Conference on AI and Law (ICAIL 2015) will be held in San Diego, California, USA, June 8-12, 2015, at the University of San Diego, at the Kroc Institute, under the auspices of the International Association for Artificial Intelligence and Law (IAAIL), an organization devoted to promoting research and development in the field of AI and law with members throughout the world. The conference is held in cooperation with the Association for the Advancement of Artificial Intelligence (AAAI) and with ACM SIGAI (the Special Interest Group on Artificial Intelligence of the Association for Computing Machinery).

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