Prior research suggests most students do not glean valid cues from provided visuals, resulting in reduced metacomprehension accuracy. Across 4 experiments, we explored how the presence of instructional visuals affects students' metacomprehension accuracy and cue-use for different types of metacognitive judgments. Undergraduates read texts on…

This is a conceptual paper that explores critiquing picturebooks set in Africa. The paper is grounded in BlackCrit (Black Critical Theory) and Racial and Ethnic Socialization (RES). Using pragmatism as a method, we offer a detailed analysis of 3 carefully selected books, on the broad basis of authenticity, accuracy, and respectfulness. A deeper…

This study investigates the development and evaluation of a Retrieval-Augmented Generation (RAG)-based statistics tutor designed to assist students with quantitative analysis methods. The RAG approach was employed to address the well-documented issue of hallucination in Large Language Models (LLMs). A computer tutor was developed that utilizes…

The present study seeks to explore the mathematical connections that 13-14-year-old secondary school students establish when solving area tasks. Emphasis is placed on different mathematical objects, and the connections between them, that allow students to successfully solve the tasks. The study follows a mixed methodology using qualitative and…

Health professions educators are increasingly encouraged to implement "desirable difficulties" in their instruction, such as interleaved practice. In practical context, however, there is limited empirical evidence regarding the (meta)cognitive benefits of desirable difficulties, and interleaved practice in particular, posing a challenge…

Predicting learner performance with precision is critical within educational systems, offering a basis for tailored interventions and instruction. The advent of big data analytics presents an opportunity to employ Machine Learning (ML) techniques to this end. Real-world data availability is often hampered by privacy concerns, prompting a shift…

In order to promote the growth of contemporary music and the reform of music, this article designs an improved collaborative filtering (CF) algorithm to solve the problem of sparse matrix in traditional recommendation algorithms. The data matrix is dimensionally reduced to find the nearest neighbor, so as to realize personalized recommendation of…

When learning about scientific phenomena, students are expected to "mechanistically" explain how underlying interactions produce the observable phenomenon and "conceptually" connect the observed phenomenon to canonical scientific knowledge. This paper investigates how the integration of the complementary processes of designing…

This study examined how elementary preservice teachers attend to precision and how exposure to engaging tasks and activities impacted the development of this Standard for Mathematical Practice. Additionally, the study aimed to understand how the experiences of this study impacted participants' perspectives toward implementing SMP 6: Attend to…

Peer feedback literacy is becoming increasingly important in higher education as peer feedback has substantially grown as a pedagogical approach. However, quality of produced feedback, a key behavioral aspect of peer feedback literacy, lacks a systematic and evidence-based conceptualization to guide research, instruction, and system design. We…

Belief in psychological misconceptions, especially those regarding brain function and learning (i.e., neuromyths), hinders students' decision-making and learning. This necessitates conceptual change. Using an experimental design, this dissertation examined whether a utility value instructional induction (UVII) facilitated conceptual change.…

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…

Practising active video games (AVGs) requires performing motor and cognitive tasks, which might foster success in physical education and other school subjects but remains poorly investigated. This study examined the learning effects of six lessons using AVGs with physical education and mathematics content. Overall, 216 school-students composed an…

The High-Impact Practices (HIPs) Spectrum is a taxonomy for assessing and categorizing courses along a continuum based on elements of High Impact Practices (Marten et al., in press). This study provides quantitative evidence for the validity and impact of the HIPs Spectrum by analyzing seven years of enrollment data in a Midwestern regional…

There is increasing interest in the use of artificial intelligence technologies, which have become a transformative force in the field of education, in educational fields that include subject areas that support lifelong learning, such as science and chemistry education. In this study, a systematic review was conducted on the use and effects of…