The process of building a teaching platform for contemporary Chinese literature poses many challenges. Based on big data research, this study was conducted using diversified intelligent analysis technology and theory. Through a fuzzy analytic hierarchy process method and relevant steps regarding intelligent parameter improvement, this study…

In massive open online course (MOOC) environments, computer-based analysis of course reviews enables instructors and course designers to develop intervention strategies and improve instruction to support learners' learning. This study aimed to automatically and effectively identify learners' concerned topics within their written reviews. First, we…

Geospatial technology is still a growth area and knowledge of these technologies remains essential for a skilled workforce. In higher education, geospatial curriculum design is predominantly determined by educators and is influenced by what educators believe should be taught. Knowledge of national or regional provision can support a richer…

Behavior analysts frequently use the Verbal Behavior Milestones Assessment and Placement Program (VB-MAPP) to assess the language and social skills of children with autism in everyday practice and in research. Despite the widespread use of the VB-MAPP, its psychometric characteristics have not been extensively investigated. To provide information…

Background: Attention deficit hyperactive disorder (ADHD) is a leading mental disorder among adolescents globally and is associated with premature mortality. Knowing the trends and key determinants of ADHD in youth are critical for earlier diagnosis and interventions. Methods: We retrospectively examined all hospitalizations in patients aged 11 to…

Studies have found that bilinguals respond differently to personality measures in their two languages, indicating that bilinguals change their personality as they switch between their two languages and/or cultures. Across two experiments, we attempted to investigate the effect of language and culture separately on how bilingual speakers rate…

Recent advancements in large language models (LLMs) hold significant promise for improving physics education research that uses machine learning. In this study, we compare the application of various models for conducting a large-scale analysis of written text grounded in a physics education research classification problem: identifying skills in…

A strong predictor of children's language is performance on non-word repetition (NWR) tasks. However, the basis of this relationship remains unknown. Some suggest that NWR tasks measure phonological working memory, which then affects language growth. Others argue that children's knowledge of language/language experience affects NWR performance. A…

As science educators seek innovative methods to engage students, the Culturo-Techno-Contextual Approach (CTCA) has emerged as a promising strategy, particularly for African students. CTCA is a culturally responsive teaching method that integrates culture, technology, and locational context, making science more relatable and meaningful. We assessed…

An expanding literature has explored the impact of second language (L2) self-concept on language achievement and motivation. This review adopts a psychological lens to examine L2 self-concept, beginning with an outline of prominent theoretical frameworks: situated expectancy-value theory; Shavelson et al.'s (1976) hierarchical, multidimensional…

This report describes the process of developing and validating the enhanced ACT. The report describes the changes made to the test content and the processes by which these design decisions were implemented. The authors describe how they shared the overall scope of the enhancements, including the initial blueprints, with external expert panels,…

This study examined the effects of Child-Centered Play Therapy (CCPT) on selfcompassion and emotion regulation skills in 8- to 12-year-old children diagnosed with cancer. The study was conducted using a pretest-posttest design with a control group. The participants were children undergoing long-term cancer treatment at Necmettin Erbakan University…

To investigate the potential of GPT-4.0 feedback to substitute teacher feedback in flipped classrooms, we conducted research that GPT-4.0 and a course teacher provided cognitive, praise, and mitigating feedback weekly via a course discussion platform, respectively. At the end of each topic, 89 third-year university students majoring in Educational…

Research comparing equal and expanding spacing schedules in relation to L2 single words is limited. Moreover, none of the existing studies has examined the learning of formulaic language. The current study aims to address this gap by investigating the impact of equal and expanding intervals on the long-term retention of L2 collocations in…

Background/purpose: This study provides a comparative review of mobile applications and traditional classroom methods in English vocabulary acquisition. It explores whether mobile-assisted vocabulary learning (MAVL) results in better retention, engagement, and productive vocabulary use among ESL learners. The study also aims to identify underlying…