This research aims to reveal the negative impacts of out-of-school sources on history lessons and how teachers respond to these effects. The participants of the study are 20 history teachers who teach history lessons in secondary education institutions in Turkey. The research was conducted using a qualitative research method, and data was…

Small sample sizes contribute to several problems in research and knowledge advancement. This conceptual replication study confirmed and extended the inflation of type II errors and confidence intervals in correlation analyses of small sample sizes common in kinesiology/exercise science. Current population data (N = 18, 230, & 464) on four…

Research with Western samples has uncovered the rapid development of infants' visual attention. This study evaluated spatial attention in 6- to 9-month-old infants living in rural Malawi (N = 511; n[subscript Boys] = 255, n[subscript Yao] = 427) or suburban California, United States (N = 57, n[subscript Boys] = 29, n[subscript White] = 37) in…

This study examines the feasibility and potential advantages of using large language models, in particular GPT-4o, to perform partial credit grading of large numbers of student written responses to introductory level physics problems. Students were instructed to write down verbal explanations of their reasoning process when solving one conceptual…

The rapid adoption and evolution of generative artificial intelligence (AI) tools like ChatGPT and Gemini have impacted marketing education and practice. This paper introduces a prompt engineering assignment that utilizes generative AI to build critical thinking skills through the development of keyword research strategies, customer profiles, and…

Video summarization is a method of deducing the content of video content for generating a summary in video format. The generated summary should have the significant segments of raw video. Recently, the content of video has been rapidly increasing, thus automatic video summarization is beneficial for individuals who want to keep time and learn more…

The Maker Movement has gained popularity in educational settings due to its emphasis on hands-on creation and fostering creative expression. While making is often associated with STEM disciplines, literacy educators are increasingly interested in exploring the intersection between making and writing. This qualitative study examines the impact of…

With the development of artificial intelligence technology, it has become increasingly difficult to distinguish between Artificial Intelligence Generated Content (AIGC) and non-AIGC. Inaccuracies in identifying AIGC in higher education may lead to academic misconduct and risks, and the credibility of AIGC is also subject to certain doubts. Users…

Learning management systems (LMS) are essential components of courses, yet student engagement on these platforms remains a significant challenge. Traditionally, grades have been used to incentivize student engagement, but this approach comes with drawbacks. In this paper, we explored an alternative form of incentivization, gamification, that has…

Short answer assessment is a vital component of science education, allowing evaluation of students' complex three-dimensional understanding. Large language models (LLMs) that possess human-like ability in linguistic tasks are increasingly popular in assisting human graders to reduce their workload. However, LLMs' limitations in domain knowledge…

In the evolving landscape of vocal pedagogy, ttehe integration of computer-assisted technologies represents a transformative shift from traditional master-apprentice models. This study investigates the efficacy of computer-assisted vocal training methods compared to conventional approaches, focusing on improvements in pitch accuracy, vocal range…

This study examined the relationship between complexity, accuracy and fluency (CAF), using longitudinal data. Conducted from the perspective of complex dynamic systems theory (CDST), this research adopted four CAF general measures to track the development of five Chinese undergraduates' English speech over a 15-week period. LOWESS graphs supported…

The present study investigated whether children's difficulty with non-canonical structures is due to their non-adult-like use of linguistic cues or their inability to revise misinterpretations using late-arriving cues. We adopted a priming production task and a self-paced listening task with picture verification, and included three Mandarin…

Background: High-quality feedback is crucial for academic success, driving student motivation and engagement while research explores effective delivery and student interactions. Advances in artificial intelligence (AI), particularly natural language processing (NLP), offer innovative methods for analyzing complex qualitative data such as feedback…

ChatGPT and other large language models (LLMs) have the potential to significantly disrupt common educational practices and assessments, given their capability to quickly generate human-like text in response to user prompts. LLMs GPT-3.5 and GPT-4 have been tested against many standardized and high-stakes assessment materials (e.g. SAT, Uniform…