Predicting student success in a data science degree program is a challenging task due to the interdisciplinary nature of the field, the diverse backgrounds of the students, and an incomplete understanding of the precise skills that are most critical to success. In this study, the applicant's future academic performance in a Master of Data Science…

Research involving digital games and language learning is rapidly growing. One advantage of using digital games to support language learning is the ability to collect data on students learning in real time. In this study, we use educational data mining methods to explore the relationship between in-game data and elementary students' Chinese…

This study examined the effectiveness of guided data-driven learning (DDL) activities on helping technological university students with a lower-intermediate proficiency level to learn grammar and vocabulary topics for the TOEIC test. The question of whether inductive learners make more progress than deductive learners was also addressed. A total…

Currently, much research on cognitive diagnostic assessment (CDA) focuses on the development of statistical models estimating individual students' attribute profiles. However, little is known about how to communicate model-generated statistical results to stakeholders, and how to translate formatively diagnostic information into teaching…

This is the first paper that provides correlational evidence about how interacting with an online allophonic transcription tool helps learners of English as a Second Language (ESL) to improve their phonological awareness. The study investigates 55 advanced ESL learners at a Polish university enrolled in a course in English phonetics and phonology.…

The last decade has witnessed a strong impact of emerging technologies on language pedagogy due to the developments in the computer technologies. The use of authentic linguistic examples through corpora and concordance based activities is defined as data-driven learning and it exposes the students to examples of more realistic language than…

Item Response Theory (IRT) is a ubiquitous model for understanding humans based on their responses to questions, used in fields as diverse as education, medicine and psychology. Large modern datasets offer opportunities to capture more nuances in human behavior, potentially improving test scoring and better informing public policy. Yet larger…

In response to the need for examples of test validation from which everyday language programs can benefit, this paper reports on a study that used Bachman's (2005) assessment use argument (AUA) framework to examine evidence to support claims made about the intended interpretations and uses of scores based on a new web-based Spanish language…

Living in learning societies encourages learning outside the classroom. Alongside this reality, higher education institutions have been incorporating policies and procedures that support recognition of prior learning (RPL). This development means establishing adequate RPL assessment practices. Our empirical study at the Aalto University Language…

The population of Spanish-speaking preschoolers in the United States continues to increase and there is a significant need to develop psychometrically sound early language and literacy screening measures to accurately capture children's ability in Spanish. In this paper, we describe the innovative design and calibration process of the new…

While multilingualism itself is a widely analyzed topic, a study about multilingualism at German schools abroad is so far unique. This quantitative study investigates the differences in the size of German expressive and receptive vocabulary between monolingual and multilingual students, aged between 5 and 11 years. A cohort of 65 multilingual…

This qualitative study addressed the English language learning needs and challenges expressed by a sample of 22 postgraduate students from diversified faculties in the University of Jordan. These students were required to take the Alternative National English course. They wrote a self-report reflecting on their English language learning needs and…

In theoretical cognitive science, there is a tension between highly structured models whose parameters have a direct psychological interpretation and highly complex, general-purpose models whose parameters and representations are difficult to interpret. The former typically provide more insight into cognition but the latter often perform better.…

The study was an attempt to measure the effect of critical reading strategies, namely; re-reading, questioning and annotating on recall and retention of collocations by intermediate Iranian EFL learners. To this end, Nelson proficiency test was administered to ninety (n = 90) Iranian EFL learners studying at Zaban Sara language institute in…

This study examines the effect of communication strategy instruction on EFL students' oral communicative ability and their strategic competence. In a 14-week English as a Foreign Language (EFL) course (English Use II) based on Communicative Language Teaching approach, 80 learners were divided into two groups. The strategy training group (n = 44)…