Game-based learning (GBL) is increasingly recognized as an effective tool for teaching diverse skills, particularly in science education, due to its interactive, engaging, and motivational qualities, along with timely assessments and intelligent feedback. However, more empirical studies are needed to facilitate its wider application in school…

Our research aims to predict students' academic performance by considering the variables affecting academic performance in science courses using the deep learning method from machine learning algorithms and to determine the importance of independent variables affecting students' academic performance in science courses. 445 students from 5th, 6th,…

Background: Computational thinking is derived from arguments that the underlying practices in computer science augment problem-solving. Most studies investigated computational thinking development as a function of learners' factors, instructional strategies and learning environment. However, the influence of the wider community such as educational…

Providing feedback to students in a sustainable way represents a perennial challenge for secondary teachers of writing. Employing artificial intelligence (AI) tools to give students personalized and immediate feedback holds great promise. Project Topeka offered middle school teachers pre-curated teaching materials, foundational texts and videos,…

The present study examined the relationships of Taiwanese eighth graders' perceived autonomy support from teachers, parental psychological control, implicit theories of intelligence, and achievement goal orientations to their agentic, behavioral, emotional, and cognitive engagement in schoolwork. Also, the current research explored the determining…

The current study compared differences between mindset beliefs about intelligence (fixed vs. growth), dimensions of perfectionism (Concern Over Mistakes, Doubt of Action, Personal Standards, Organization), and achievement attitudes among gifted underachievers (n = 15) and gifted achievers (n = 169) in Grades 6 to 8 and examined the relationship…

The authors designed and conducted this study using the predictive analytics to determine the different science performance predictors of the first batch of K to 12 curriculum in Valencia District, Valencia, Negros Oriental. The authors had chosen three kinds of predictors namely; student-related predictors, teacher-related predictors, and…

Theories of multilingual language learning often assume that previous language learning experiences in at least two languages provide advantages for additional language learning. Other research emphasises the importance of general cognitive abilities as predictors of language learning. We test whether a set of predictions based on a multilingual…

Students' intelligence and self-concept of ability are critical predictors of school achievement. However, studies focusing on the relative importance of both achievement predictors have produced mixed results. To clarify these inconsistencies, the present study investigated whether the relative predictive power of students' intelligence and…

Objective: The primary objective of this study was to evaluate the prevalence of multiple types of sleep problems in young adolescents with ADHD. Method: 262 adolescents comprehensively diagnosed with ADHD and their caregivers completed well-validated measures of sleep problems and daytime sleepiness. Participants also completed measures related…

A transition from elementary to high school represents a very profound change and a potential source of stress, as it often requires young adolescents to make significant professional decisions. This topic was the focus of the present study in which 303 Croatian students attending their final year of elementary school completed measures of career…

The transfer of leadership to younger generations is an important factor in agricultural communities and is likely one reason developing leaders is a central mission of many youth organizations, including 4-H and FFA. In adults, researchers have extensively explored the relationship between personality traits and leadership (Judge, Bono, Ilies,…

This research examined how motivation (perceived control, intrinsic motivation, and extrinsic motivation), cognitive learning strategies (deep and surface strategies), and intelligence jointly predict long-term growth in students' mathematics achievement over 5 years. Using longitudinal data from six annual waves (Grades 5 through 10;…

This quantitative, correlational study with a predictive design examined the extent the level of teachers' emotional intelligence was a predictor of retention indicated by 3 or more consecutive years in the same school district. The study sought to determine if teachers with three or more years of teaching experience contributed emotional…

Predictive relationships among perceived family processes, intrinsic and extrinsic motivation, incremental beliefs about intelligence, confidence in intelligence, and creative problem-solving practices in mathematics and science were examined. Participants were 733 scientifically talented Korean students in fourth through twelfth grades as well as…