Interpreting testing and assessment: A state-of-the-art review

2021 ◽  
pp. 026553222110361
Author(s):  
Chao Han

Over the past decade, testing and assessing spoken-language interpreting has garnered an increasing amount of attention from stakeholders in interpreter education, professional certification, and interpreting research. This is because in these fields assessment results provide a critical evidential basis for high-stakes decisions, such as the selection of prospective students, the certification of interpreters, and the confirmation/refutation of research hypotheses. However, few reviews exist providing a comprehensive mapping of relevant practice and research. The present article therefore aims to offer a state-of-the-art review, summarizing the existing literature and discovering potential lacunae. In particular, the article first provides an overview of interpreting ability/competence and relevant research, followed by main testing and assessment practice (e.g., assessment tasks, assessment criteria, scoring methods, specificities of scoring operationalization), with a focus on operational diversity and psychometric properties. Second, the review describes a limited yet steadily growing body of empirical research that examines rater-mediated interpreting assessment, and casts light on automatic assessment as an emerging research topic. Third, the review discusses epistemological, psychometric, and practical challenges facing interpreting testers. Finally, it identifies future directions that could address the challenges arising from fast-changing pedagogical, educational, and professional landscapes.

2003 ◽  
Vol 127 (5) ◽  
pp. 549-553 ◽  
Author(s):  
Richard J. Zarbo ◽  
M. Elizabeth H. Hammond

Abstract Context.—Practicing pathologists often encounter controversial clinical issues and nonstandardized laboratory approaches to the evolving science of predictive/prognostic tumor marker assays. This dilemma becomes especially acute when the assay is the sole determinant for selection of a specific therapy. Objectives.—To summarize the areas of practical agreement and identify opportunities for improvement in Her-2/neu testing of breast cancer. Design.—The College of American Pathologists created a new comprehensive education model, called Strategic Science, with expert speakers integrating new and evolving basic, clinical, and scientific issues of Her-2/neu testing with aspects of laboratory management. Setting.—Symposium held May 4 and 5, 2002, in Rosemont, Ill. Participants.—Ten speakers and more than 100 attendees. Results.—Components addressed were new technology assessment, practice guidelines, quality assurance, regulatory compliance, risk and liability, billing and coding, cost analysis, consultation, information management, and results reporting. Conclusions.—This Strategic Science symposium derived areas of practical agreement, defined the current state-of-the-art, and identified areas for improvement in Her-2/neu testing.


Interpreting ◽  
2018 ◽  
Vol 20 (1) ◽  
pp. 63-101 ◽  
Author(s):  
Chao Han

Abstract Over the past decade, interpretation assessment has played an increasingly important role in interpreter education, professional certification, and interpreting research. The time-honored assessment method is based on analysis of (para)linguistic features of interpretation (including such items as omissions, substitutions, un/filled pauses and self-corrections). Recently, use of descriptor-based rating scales to assess interpretation has emerged as a viable alternative (e.g., Angelelli 2009; Han 2015, 2016; J. Lee 2008; Tiselius 2009), arguably providing a basis for reliable, valid and practical assessments. However, little work has been done in interpreting studies to ascertain the assumed benefits of this emerging assessment practice. Based on 17 international peer-reviewed journals over the last twelve years (2004–2015), and other related publications (e.g., scholarly books, reports, documents), this article provides an overview of practices in scale-based interpretation assessment, focusing on four major aspects: (a) rating scales; (b) raters; (c) rating procedures; (d) reporting of assessment outcomes. Problem areas and possible emerging trends in interpretation assessment are examined, identifying a number of future research needs.


2016 ◽  
Vol 224 (2) ◽  
pp. 62-70 ◽  
Author(s):  
Thomas Straube

Abstract. Psychotherapy is an effective treatment for most mental disorders, including anxiety disorders. Successful psychotherapy implies new learning experiences and therefore neural alterations. With the increasing availability of functional neuroimaging methods, it has become possible to investigate psychotherapeutically induced neuronal plasticity across the whole brain in controlled studies. However, the detectable effects strongly depend on neuroscientific methods, experimental paradigms, analytical strategies, and sample characteristics. This article summarizes the state of the art, discusses current theoretical and methodological issues, and suggests future directions of the research on the neurobiology of psychotherapy in anxiety disorders.


Author(s):  
Lidia K Simanjuntak ◽  
Tessa Y M Sihite ◽  
Mesran Mesran ◽  
Nuning Kurniasih ◽  
Yuhandri Yuhandri

All colleges each year organize the selection of new admissions. Acceptance of prospective students in universities as education providers is done by selecting prospective students based on achievement in school and college entrance selection. To select the best student candidates based on predetermined criteria, then use Multi-Criteria Decision Making (MCDM) or commonly called decision support system. One method in MCDM is the Elimination Et Choix Traduisant la Reality (ELECTRE). The ELECTRE method is the best method of action selection. The ELECTRE method to obtain the best alternative by eliminating alternative that do not fit the criteria and can be applied to the decision SNMPTN invitation path.


2016 ◽  
Vol 7 (1) ◽  
pp. 12-18
Author(s):  
Joko Haryanto ◽  
Seng Hansun

This paper describes the development of decision support system application to assist students who want to enter college so that no one choose the majors incorrectly. This application uses fuzzy logic method because fuzzy logic is very flexible in data which are vague and can be represented as a linguistic variable. The purpose of this application is to assist students to choose available majors at University Multimedia Nusantara which are appropriate with his/her capabilities. This application accepts five kinds of input values i.e. Mathematics, Indonesian, English, Physics, and TIK. Received input will be processed by the calculation of the system for decision-making and the application will generate output that shows how great a match for each majors. With this application, prospective students can find out where the majors that match his/her capabilities. This application has ninety nine percentage of match result accuracy. Index Terms—fuzzy logic, decision support system, UMN, selection of major


2016 ◽  
Vol 17 (13) ◽  
pp. 1455-1470 ◽  
Author(s):  
Tomas Majtan ◽  
Angel L. Pey ◽  
June Ereño-Orbea ◽  
Luis Alfonso Martínez-Cruz ◽  
Jan P. Kraus

Author(s):  
Alvaro Gomez-Lopez ◽  
Satyannarayana Panchireddy ◽  
Bruno Grignard ◽  
Inigo Calvo ◽  
Christine Jerome ◽  
...  

2021 ◽  
pp. 026553222199227
Author(s):  
Yuko Goto Butler ◽  
Xiaolin Peng ◽  
Jiyoon Lee

Language assessment literacy (LAL) has recently gained substantial attention among language educators and other stakeholders. However, existing models focus almost exclusively on teachers, test developers, and administrators, and lack students’ perspectives in their conceptualizations. To address this gap, with this exploratory study we aimed to understand young learners’ LAL. The participants were fourth- and sixth-grade students (ages 9–10 and 11–12, respectively, with 10 participants in each age group) in China. After taking English mock tests, the children participated in individual, semi-structured interviews that covered their understanding of the following: (a) assessment purposes and theories (their knowledge about how assessment works); (b) assessment skills (their views of assessment designs, procedures, and content); and (c) assessment principles (their notion of fairness, cheating, and feedback). The data were analyzed qualitatively in line with current LAL models. The results suggest that the children already had substantial assessment literacy in knowledge, skills, and principles. Although their teachers’ assessment practice remains form-focused, children generally want more communicative-based and diagnostic assessment. They also want more cognitively challenging and enjoyable assessment tasks. Our findings provide solid supporting evidence for the importance of considering students’ perspectives, along with the views of other stakeholders, in order to have a more balanced understanding of LAL.


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