Accurate and consistent reviews of documents describing research studies are essential to valid and generalizable inferences in a meta-analysis. Traditionally a small number of reviewers screen studies using the title, abstract, and possibly the full text to determine a study's eligibility for a meta-analysis. This study explores whether reviewing…

This study developed and evaluated machine learning algorithms to predict children's physical activity category from raw accelerometer data collected at the hip. Fifty participants (mean age = 13.9 ± 3.0 y) completed 12 activity trials that were categorized into 5 categories: sedentary (SED), light household activities and games (LHHAG),…

Many sociological theories make critically different macropredictions when their microassumptions are implemented stochastically rather than deterministically. Deviations from individuals' behavioral patterns described by microtheories can spark cascades that change macrooutcomes, even when deviations are rare and random. With two experiments, we…

Automated writing evaluation (AWE) plays an important role in writing pedagogy and has received considerable research attention recently; however, few reviews have been conducted to systematically analyze the recent publications arising from the many studies in this area. The present review aims to provide a comprehensive analysis of the…

Metacognitive activities are reported to improve learning but prompts to support metacognition have only been investigated with mixed results. In the present study, metacognitive prompts for confidence judgments were implemented in a learning platform to provide more insights into their effectiveness and their limits. Comparing the prompted group…

There is a lack of tests available for assessing sign language proficiency among L2 learners. We have therefore developed a sign repetition test, SignRepL2, with a specific focus on the phonological features of signs. This paper describes the two phases of developing this test. In the first phase, content was developed in the form of 50 items with…

U.S. elementary schools administer reading screeners to identify students in need of remedial instruction. However, the administration of additional assessments comes with a cost. It is unclear the extent to which multiple types of reading screeners warrant the increase in resources that could be used for instruction. This study compared…

Preparing for exams in introductory biology classrooms is a complex metacognitive task. Focusing on lower achieving students (those with entering ACT scores below the median at our institution), we compared the effect of two different assignments distributed ahead of exams by dividing classes in half to receive either terms to define or open-ended…

The emergence of ChatGPT as one of the most advanced chatbots and its ability to generate diverse data has given room for numerous discussions worldwide regarding its utility, particularly in advancing medical education and research. This study seeks to assess the performance of ChatGPT in medical biochemistry to evaluate its potential as an…

The objective of the research is to explore the consistency of specialized nursing competency models of nursing students. The participants in this research are 165 Year 4 nursing students at Boromarajonani College of Nursing, Chakriraj, Thailand. The data was collected using a questionnaire consisting of 45 questions, answered with the use of a…

With the increased sophistication of technology, humans have the possibility to offload a variety of tasks to algorithms. Here, we investigated whether the extent to which people are willing to offload an attentionally demanding task to an algorithm is modulated by the availability of a bonus task and by the knowledge about the algorithm's…

To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…

Many studies have shown that morphological knowledge has effects on reading comprehension separate from other aspects of language knowledge. This has implications for reading instruction and assessment: it suggests that children could have reading comprehension difficulties that are due to a lack of morphological knowledge, and thus, that explicit…

This study delves into the opportunities and challenges associated with the deployment of AI tools in the education sector. It systematically explores the potential benefits and risks inherent in utilizing these tools while specifically addressing the complexities of identifying and preventing academic dishonesty. Recognizing the ethical…

Although there are claims that ChatGPT, an AI-based language model, is capable of assessing the writing of L2 learners accurately and consistently in the classroom, a number of recent studies have shown discrepancies between AI and human raters. Furthermore, there is a lack of studies investigating the intrareliability of ChatGPT scores.…