Typical data science instruction uses generic datasets like survival rates on the Titanic, which may not be motivating for students. Will introducing real-life data science problems fill this motivational deficit? To analyze this question, we contrasted learning with generic datasets and artificial problems (Phase 1) with a community-sourced…

The article sets out to develop the concept of attention as a key aspect to building the possible therapeutics that Bernard Stiegler's recent works have pointed to (The Automatic Society, 2016, The "Neganthropocene", 2018 and "Qu'appelle-t-on" Panser, 2018). The therapeutic aspect of pharmacology takes place through processes…

Language sample analysis (LSA) is valuable clinical tool and an important component of comprehensive language assessment. However, LSA is underutilized in real-world practice. SLPs have identified time constraints, insufficient training, and lack of confidence in LSA skills as barriers to regular LSA implementation. Communication science and…

Students who take an online course, such as a MOOC, use the course's discussion forum to ask questions or reach out to instructors when encountering an issue. However, reading and responding to students' questions is difficult to scale because of the time needed to consider each message. As a result, critical issues may be left unresolved, and…

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…

With the development of language corpora, linguists have been able to identify how often specific words, phrases, and expressions are used, and in which contexts. However, applications of corpora in the wider domain of language teaching have remained limited. This article presents an approach to utilizing corpora, combining principles from…

This paper addresses a key challenge in Educational Data Mining, namely to model student behavioral trajectories in order to provide a means for identifying students most at risk, with the goal of providing supportive interventions. While many forms of data including clickstream data or data from sensors have been used extensively in time series…

Contribution: An automated methodology that provides visualizations of students' free text comments from course satisfaction surveys. Focusing on sentiment, these visualizations reveal learning and teaching aspects of the course that either may require improvement or are performing well. They provide educators with a simple, systematic way to…

Data-driven learning (DDL; Johns, 1991), involving students' hands-on use of corpora for self-guided language learning, is a methodology now increasingly used in many tertiary contexts to enhance the teaching of disciplinary postgraduate thesis writing. However, there are still few studies tracking students' actual engagement with corpora for DDL.…

The administrative processes are defined by the single text of administrative procedures (TUPA), which guarantee the delivery of services to users. Unfortunately, in the public university there are barriers that affect their execution generating considerable delays. The success in the issuance of services is measured by the level of service and…

This study discusses the automatic coding methods of the Community of Inquiry (CoI) framework for multilingual contexts, in particular. In universities, foreign students cannot be overlooked, and learning systems are also required to work in multilingual situations. However, none of the existing work has addressed the lack of language-agnostic and…

The popularity of social media among students and practitioners has encouraged marketing educators to find ways to incorporate social media into their classrooms. We offer results from an intercollegiate collaboration that provides an innovative learning environment through a social media education ecosystem. Participating students discuss current…

This work is a contribution to the usefulness of climate-related authentic material for pedagogical purposes in Higher Education. The two case studies had the aim of raising environmental awareness of a sustainable future among university students, while encouraging them to explore language use and draw their own conclusions and considerations…

The purpose of this study was to analyze six English as a Foreign Language (EFL) learners' trajectories of discriminating near-synonyms in a data-driven learning task. Since the learners find it considerably difficult to learn subtle meaning differences of near-synonyms, corpus-based data-driven learning may provide an opportunity for them to…

Recent years have shown a growing interest in using corpora in language instruction, enhancing data-driven learning (DDL) pedagogy by promoting the use of tools and techniques of corpus linguistics in language classrooms. Many studies have tested the impact of corpus tools in EFL writing or vocabulary instruction; however, little attention has…