In this study, empirical research was conducted in the field of civic and moral education using a real problem-oriented learning methodology. The effectiveness of the methodology in enhancing students' civic awareness and moral behavior was assessed through a randomized controlled trial (RCT). The study combined quantitative and qualitative…

Meaningful student-teacher relationships form a crucial foundation for teachers to deliver effective interventions leading to better outcomes for students with challenging behavior. By implementing simple recommendations for facilitating genuine and intentional interactions with students and regulating their own emotional responses, teachers can…

There is a heightened concern over undergraduate students being over-reliant on Generative AI and using it recklessly. Reliance behaviours describe the frequencies and ways that people use AI tools for tasks such as problem-solving, influenced by individual factors such as trust and AI literacy. One way to conceptualise reliance is that reliance…

Challenging behavior can impact the learning environment and prevent educators and students from demonstrating behavioral and academic success. Schools and districts may implore a framework of tiered systems of support to respond to students struggling behaviorally or academically. These systems provide a decision-making process to aid educators'…

The problem addressed by this study is that students are not implementing literacy strategies they learned in English language Art classes in their mathematics classes. The study's purpose is to explore how seventh-grade students utilize literacy strategies modeled by teacher/s in the mathematics classroom and implementation to deconstruct and…

Background: Educational technologies typically provide teachers with analytics regarding student proficiency, but few digital tools provide teachers with process-based information about students' variable problem-solving strategies as they solve problems. Utilising design thinking and co-designing with teachers can provide insight to researchers…

The increasing use of complex machine learning models in education has led to concerns about their interpretability, which in turn has spurred interest in developing explainability techniques that are both faithful to the model's inner workings and intelligible to human end-users. In this paper, we describe a novel approach to creating a…

Many questions have been asked about how to teach math, how to get students to like math, how to engage students in math and how to increase math scores. Metacognition and Self-Regulated Learning (SRL) have an impact on mathematics achievement in middle school students. In this quantitative study, the Self-Reflection Questionnaire, MKMQ was used…

Studies have shown that students have different help-seeking behavior patterns and tendencies and furthermore, that students with certain help-seeking behavior patterns and tendencies may have poor performance (i.e., at-risk students). This study applied an educational data mining approach, including clustering and classification, to analyze…

This paper presents the development and psychometric properties of an interpersonal problem-solving inventory for Vietnamese elementary school students (IPSI). The IPSI consists of five subscales: Positive problem-solving behavior; Negative problem-solving behavior; Rational problem-solving behavior; Impulsive behavior; and Avoidance behavior. The…

The present study examined the effects of a streamlined and virtual version of conjoint behavioral consultation (CBC) as implemented by trained school professionals (e.g., school psychologists, special education teachers). The effectiveness of CBC was examined using a multiple baseline across participants design among three students with or at…

Preschool aged children's social and emotional adjustment impacts their behavior across settings. Providing high-quality early intervention services that enhance social and emotional skills can help prepare children for formal schooling and improve social and behavioral outcomes. The summer prior to Kindergarten presents a unique opportunity for…

Contribution: We present a framework for teachers to investigate the relationships between attributes of students' solutions in the process of problem solving or computational thinking. We provide visualization and evaluation techniques to find hidden patterns in the students' solutions which allow teachers to predict the specific behavior of…

Modern online education has the capacity to provide intelligent educational services by automatically analyzing substantial amounts of student behavioral data. Knowledge tracing (KT) is one of the fundamental tasks for student behavioral data analysis, aiming to monitor students' evolving knowledge state during their problem-solving process. In…

Background/purpose: This study investigated the effectiveness of Problem-Based Worksheets (PBWs) in improving conceptual understanding of logic gates. PBWs were designed with key characteristics that integrate authentic problem-solving, active student engagement, and conceptual scaffolding to support critical thinking processes. A total of 32…