With the rise of online courses taught at the post-secondary level, instructors must make decisions on what resources and tools they implement since this can directly impact student learning (Ascough, 2011; Means et al, 2010; Simonson, 2011). Moreover, instructors have access to thousands of free resources and tool though a click of a mouse as…

A new mobile application (app) was developed by the Military REACH team. It delivered research-backed professional development content to practicing human and family service providers over the course of eight weeks. The app aimed to enhance their ability to provide services that meet the unique needs of Service member, Veteran, and military family…

Educators must balance the needs of students who start the school year behind grade level with their obligation to teach grade-appropriate content to all students. Educational software could help educators strike this balance by targeting content to students' differing levels of mastery. Using a regression discontinuity design and detailed…

Academic advising plays an important role in students' decision-making in higher education. Data-driven methods provide useful recommendations to students to help them with degree completion. Several course recommendation models have been proposed in the literature to recommend courses for the next semester. One aspect of the data that has yet to…

Applying Herzberg's motivation-hygiene theory, we studied the determinants of student satisfaction in using R in a Decision Support Systems course that previously used Excel to teach Data Mining and Business Analytics (DMBA). The course is a degree requirement, and prior programming experience is not a prerequisite. We hypothesized that motivators…

This study investigated the motivation of Taiwanese undergraduate EFL students in learning English-to-Chinese translation and the intention to use a digital game-based learning app called CHEN-slate. The app, consisting of a learning zone, practice zone, and competition zone and including translation skills needed for actual translation practice,…

The Autonomous Vehicles (AV) are a self-driving vehicle capable of sensing its environment and operating with minimal or no human intervention converting into a fully or partially automated vehicle. These automated vehicles have great potential to revolutionize the automotive industry and our daily lives. Thus, they are receiving a lot of…

Game-based instruction has been praised as an effective approach to second language (L2) development, as it can provide a low-stakes, fun, and engaging learning environment. However, in designing digital games for L2 learning, it is important to consider how various game designs and mechanics can affect learning gains. In the current study…

The concept 'literacy crisis' has framed ChatGPT's popularity, its rapid evolution, and its seemingly sophisticated language and knowledge performance. The concept helps scholars and teachers easily enter conversations about artificial intelligence (AI) text generation technologies and how they transform the notions of authorship, research, labor,…

The aim of this study was to examine the current trends and main findings of the empirical computer assisted foreign language learning studies. The database, Web of Science, was reviewed and a total of 36 studies between 2000 and 2020 were analysed. The systematic analysis was performed with the content analysis method. The content of the reviewed…

This case study details microlearning content development, testing, and implementation of the NATO Headquarters Supreme Allied Command Transformation (HQ SACT) e-Learning Networking App (NeNA) conducted by an AECT microlearning consulting team. NeNA was designed to provide microlearning "just-in-time" content, to create socialization…

Students' writing proficiency is measured through holistic and analytical ratings in writing assessment; however, recent studies suggest that measurement of syntactic complexity in second language writing research has become an effective measure of writing proficiency. Within this paradigm, we investigated how automated measurement of syntactic…

Background: We discuss a free software system (Computerized Language Analysis [CLAN]) that can enable fast, thorough, and informative language sample analysis (LSA). Method: We describe methods for eliciting, transcribing, analyzing, and interpreting language samples. Using a hypothetical child speaker, we illustrate use KidEval to generate a…

The article presents the research of empirical mixed methods on the use of a modern mobile reading app compared to traditional forms of teaching in English business classes in higher education in Slovakia. The research belongs to the theoretical frame of the mobile assisted language learning field that has generated an interest since the early…

This study aimed to examine the effects of an AI-based object detection translation (AI-based ODT) application (app) on EFL students' vocabulary learning. We developed a system that utilized strategies to facilitate learners' vocabulary learning. The app applied dual code theory to present the objects in picture, word, and pronunciation formats.…