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The challenge of evaluating open interpreter training resources: case study of ORCIT
The Interpreter and Translator Trainer ( IF 1.222 ) Pub Date : 2020-12-23 , DOI: 10.1080/1750399x.2020.1867407
Svetlana Carsten 1 , Dragoș Ciobanu 2 , Dalia Mankauskiene 3
Affiliation  

ABSTRACT

Measuring the quality of information and communication technology (ICT) tools and their impact on learning outcomes is not an easy task. Carol Chapelle, the leading authority on the evaluation of computer-assisted language learning (CALL) tools, wrote in 2008: ‘Evaluation of innovation is perhaps the most significant challenge teachers and curriculum developers face when attempting to introduce innovation into language education’. This applies to innovative tools in interpreter training. Using the example of the set of interpreter training online resources, developed by the European ORCIT (Online Resources for Conference Interpreter Training) project, this paper discusses the popularity and perceived usefulness of such resources as measured by the combined analysis of online evaluation questionnaire responses and resource access tracking data. Qualitative, survey-based, evaluation or quantitative Google Analytics data can present a fairly accurate popularity rating of a learning tool and are widely used to test the appeal of technology among learners. Yet these two methods do not reflect the objective effectiveness of online resources on learners’ progress. Therefore, a set of relevant parameters of the Holistic TEL Evaluation Framework is also discussed together with a methodological framework for the evaluation of ORCIT’s impact on learner gain.



中文翻译:

评估开放口译培训资源的挑战:ORCIT 案例研究

摘要

衡量信息和通信技术 (ICT) 工具的质量及其对学习成果的影响并非易事。Carol Chapelle 是计算机辅助语言学习 (CALL) 工具评估的主要权威,他在 2008 年写道:“在尝试将创新引入语言教育时,对创新的评估可能是教师和课程开发人员面临的最重大挑战”。这适用于口译培训中的创新工具。以欧洲ORCIT(会议口译培训在线资源)项目开发的口译培训在线资源集为例,本文讨论了通过在线评估问卷答复和在线评估问卷的综合分析来衡量这些资源的流行度和感知有用性。资源访问跟踪数据。定性的、基于调查的、评估或定量的 Google Analytics 数据可以提供一个学习工具的相当准确的流行度评级,并被广泛用于测试技术在学习者中的吸引力。然而这两种方法并不能反映在线资源对学习者进步的客观有效性。因此,还讨论了整体 TEL 评估框架的一组相关参数以及评估 ORCIT 对学习者增益的影响的方法框架。

更新日期:2020-12-23
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