Background: Personalised and timely feedback in massive open online courses (MOOCs) is hindered due to the large scale and diverse needs of learners. Learning analytics (LA) can support scalable interventions, however they often lack pedagogical and contextual grounding. Previous research claimed that a human-centred approach in the design of LA…

This research examined the cost and features of 20 speech sound disorder (SSD) treatment apps as part of the feature mapping paradigm. Methods included the development of a 48-item SSD checklist culled from the extant literature and sorted into 10 categories: linguistic level, feedback types, customization, image types, image iconicity, speech…

Emotion recognition application programming interface (API) is a recent advancement in computing technology that synthesizes computer vision, machine-learning algorithms, deep-learning neural networks, and other information to detect and label human emotions. The strongest iterations of this technology are produced by technology giants with large,…

Objective: This study evaluated FITSTART+, a parent-based intervention (PBI), for preventing risky drinking among first-year college students. Participants: Participants were traditional first-year students aged between 17 and 20. Method: In total, 391 eligible students completed a baseline survey and their parents were then invited to use the…

Progress monitoring data provide important information on student functioning in response to an intervention. Yet, there are several barriers to effective progress monitoring of internalizing symptoms among youth. To address these concerns, the current paper conceptualized the use of ecological momentary assessment (EMA) as a service delivery…

Mindfulness apps have shown promise to reduce stress and improve well-being among college students however the mechanisms of these beneficial effects are less clear. In addition, findings are inconclusive about the necessary dose of mindfulness app usage to achieve improvements in mental health. Thus, more dose-response research is needed on…

This article covers how a computer algebra system (CAS) "wxMaxima" can be explored for teaching single-variable and multivariable calculus to Korean digital natives. We present several examples where "wxMaxima" can handle calculus problems easily, not straightforwardly but still successfully with some human intervention, and…

There is a lack of research evaluating the effects of digital textbooks and digital apps on learning for early elementary school learners. Therefore, this study conducted a randomized controlled trial to evaluate how an iPad application for learning English as a foreign language impacted children's grammar understanding, satisfaction, persistence,…

This study investigates user satisfaction with e-learning systems in higher education institutions, examining the perspectives of students, lecturers, and elearning officers and heads of the department of Information Technology as key informants. A total of 375 student respondents from Diploma, Bachelor, and Masters levels, 51 lecturers, and 15…

COVID-19 contributed to the largest student performance decline in mathematics since 1990. The nation needs cost-effective mathematic interventions to address this drop and improve students' mathematics performance. This study presents a cost-effectiveness analysis (CEA) of three algebraic technological applications, across four conditions: From…

The adoption of English as a Medium of Instruction (EMI) in Turkish universities has heightened the necessity for advanced English proficiency among students. Many intermediate-level English learners face stagnation, known as the intermediate plateau, hindering their progress and affecting academic performance. This study explores the use of…

Background and Context: Researchers and practitioners have begun to incorporate collaboration in programming because of its reported instructional and professional benefits. However, younger students need guidance on how to collaborate in environments that require substantial interpersonal interaction and negotiation. Previous research indicates…

This intervention study aimed to test the effect of writing process feedback. Sixty-five Grade 10 students received a personal report based on keystroke logging data, including information on several writing process aspects. Participants compared their writing process to exemplar processes of equally scoring (position-setting condition) or…

Purpose: The purpose of this study was to further evaluate an eight-step partner instructional model developed by Kent-Walsh and McNaughton that has been demonstrated to improve implementation quality and fidelity among adults in clinical and educational settings who support the use of augmentative and alternative communication (AAC) for…

Some recent studies have reported positive effects of artificial intelligence (AI)-powered writing assistants on students' EFL writing skills, but their impact on affective factors has yet to be examined. Thus, the present study investigated the effects of a QuillBot-based intervention on English Language majors' EFL writing performance,…