The Multiple-choice (MC) item format is commonly used in educational assessments due to its economy and effectiveness across a variety of content domains. However, numerous studies have examined the quality of MC items in high-stakes and higher-education assessments and found many flawed items, especially in terms of distractors. These faulty…

Artificial intelligence (AI) technologies have the potential to reduce the workload for the second language (L2) teachers and test developers. We propose two AI distractor-generating methods for creating Chinese vocabulary items: semantic similarity and visual similarity. Semantic similarity refers to antonyms and synonyms, while visual similarity…

Technology-enhanced items (TEIs) are innovative, computer-delivered test items that allow test takers to better interact with the test environment compared to traditional multiple-choice items (MCIs). The interactive nature of TEIs offer improved construct coverage compared with MCIs but little research exists regarding students' performance on…

This study examines the application of an IRT analysis of words on lists including the General Service List (GSL), New General Service List (NGSL), Academic Word List (AWL), New Academic Word List (NAWL), and TOEIC Service List (TSL). By comparing line graphs, density distribution graphs, and boxplots for the average difficulty of each word list…

Advances in computer technology and artificial intelligence create opportunities for developing adaptive language learning technologies which are sensitive to individual learner characteristics. This paper focuses on one form of adaptivity in which the difficulty of learning content is dynamically adjusted to the learner's evolving language…

Multiple test tasks are available for assessing L2 collocation knowledge. However, few studies have investigated the characteristics of a variety of recognition and recall tasks of collocation simultaneously, and most research on L2 collocations has focused on verb-noun and adjective-noun collocations. This study investigates (1) the relative…

Applied linguistics may benefit from a morphological complexity measure to get a better grip on language learning problems and to better understand what kind of typological differences between languages are more important than others in facilitating or impeding adult learning of an additional language. Using speaking proficiency scores of 9,000…

This paper reports a post-hoc analysis of the influence of lexical difficulty of cue sentences on performance in an elicited imitation (EI) task to assess oral production skills for 645 child L2 English learners in instructional settings. This formed part of a large-scale investigation into effectiveness of foreign language teaching in Polish…

Task difficulty is a critical issue affecting test developers. Controlling or balancing the item difficulty of an assessment improves its validity and discrimination. Test developers construct tests from the cognitive perspective, by making the test constructing process more scientific and efficient; thus, the scores obtained more precisely…

The Missionary Training Center (MTC), affiliated with the Church of Jesus Christ of Latter-day Saints, needs a reliable and cost effective way to measure the oral language proficiency of missionaries learning Spanish. The MTC needed to measure incoming missionaries' Spanish language proficiency for training and classroom assignment as well as to…

The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…