This study investigates the impact of AI-assisted language learning (AIAL) strategies on cognitive load and learning outcomes in the context of language acquisition. Specifically, the study explores three distinct AIAL strategies: personalized feedback and adaptive learning, interactive exercises with speech recognition, and intelligent tutoring…

When researchers code behavior that is undetectable or falls outside of the validated ordinal scale, the resultant outcomes often suffer from informative missingness. Incorrect analysis of such data can lead to biased arguments around efficacy and effectiveness in the context of experimental and intervention research. Here, we detail a new…

There is a demand for an overhaul of undergraduate nursing education curricula to better prepare students who can provide safe, quality care in an increasing complex health care system. Simulation use has provided an avenue for nurse educators to consider when deciding appropriate and reliable teaching and learning strategies to guide students…

We use student-level online resource usage data for students in four different introductory accounting courses to explore the impact on exam performance of both student study effort and students' revealed preferences for reading text or watching video lectures. The online learning tool tracks student study choice (read text, watch video, or skip)…

In the present study, the impact of formative assessment on secondary school students' mathematics achievement and their metacognitive awareness was examined. The participants included 164 (84 boys) grade 11 students and four mathematics teachers from four secondary schools in Kenya. A quasi-experimental pretest-posttest non-equivalent group…

According to the researchers, the aim of this study is to determine the impact of the flipped learning approach on fifth-year students' understanding of reading content during their last year of preparatory education. To confirm the results of the study, the null hypothesis was developed, which claims that the experimental group's mean scores are…

The aim of this study is to investigate the effects of mathematics (math) diaries on academic achievement, metacognitive awareness and motivation of students in a mathematics lesson. The case study was conducted with a qualitative, quasi-experimental design and a quantitative, embedded multiple-case design as a mixed research model. The sample of…

The main aim of the present study is to develop first year university students' meta-cognitive reading comprehension using inquiry-based learning strategy. Subjects of the study were 106 (53 males, 53 females) first year university students enrolled in two classrooms at colleges representing urban and sub-urban areas in Shaqra University. The…

This research attempts to add to the existing literature of language learning strategy uses by advancing our understanding of what language learning strategies (LLS) are preferred by learners who were given a one-year English education at two state universities and to find out whether strategy uses were directly related to being successful in…

We examined the influences of pre-solving pause time, algebraic knowledge, mathematics self-efficacy, and mathematics anxiety on middle-schoolers' strategy efficiency in an algebra learning game. We measured strategy efficiency using (a) the number of steps taken to complete a problem; (b) the proportion of problems completed on the initial…

The present study investigates the relation between language environment and language delay in 63 British-English speaking children (19 typical talkers (TT), 22 late talkers (LT), and 22 late bloomers (LB) aged 13 to 18 months. Families audio recorded daily routines and marked the new words their child produced over a period of 6 months. To…

This article focuses on the effects of a 21-hour Romance Intercomprehension (RIC) module on the plurilingual competence in Romance languages of no prior knowledge and EFL reading comprehension skills of a group of Italian schoolchildren aged 10-11. Data were collected pre- and post-training through a simple language identification and…

Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…

Many countries have incorporated computational thinking (CT) and programming languages into their science and technology courses. Students can improve their CT ability by learning programming languages. Moreover, situated learning enables students to generate knowledge and master problem-solving skills through interaction with situations. This…

For a sustainable future, equipping sustainability change agents with relevant sustainability competencies is crucial. Among these competencies is system thinking competence -- the understanding of complex interrelationships among the dimensions of sustainable development and the impacts of the interrelationships. Learning approaches relevant to…