Teacher classroom teaching behavior indicators serve as a crucial foundation for guiding instructional evaluation. Existing indicator system suffers from limitations such as strong subjectivity and weak contextual generalization capabilities. Generalized category discovery (GCD) enables automatic data clustering to identify known categories and…

Globally, educators and researchers use different terms to describe instructors' approaches when presenting instructional material in formal and informal settings. Terms commonly used to describe instructional approaches include teaching/instructional strategy, teaching/instructional method, and teaching/instructional technique. Although…

Correct responding to questions regarding events that have occurred in the past are important for conversations and safety. Limited research has demonstrated techniques for teaching this skill to children who do not successfully tact past events. The current study demonstrates a probe-fading method for teaching children to correctly tact stimuli…

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…

The efficacy of the "integrated approach," which calls for the simultaneous integration of two varieties in teaching Arabic as a second language (L2), has not yet been rigorously examined, and the very few available studies suffer from many methodological limitations. The current study sought to bridge this gap in the literature by…

Even in the age of spellcheck and other assistive tools, spelling remains an important skill. Learning how to spell can be challenging, especially for students with high-incidence disabilities. Fortunately, tools such as graphic organizers may assist students with spelling. In this study, we evaluated the effects of a novel flowchart tool on…

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 results of needs assessments for a number of universities show that virtuous character behavior shows a number of problems that require efforts by universities to carry out massive and planned virtuous character education movements. The perryso dialogue model based on cognitive behavior modification was developed to overcome a number of…

As modern vehicles continue to integrate increasingly sophisticated Advanced Driver Assistance Systems (ADAS) and Autonomous Vehicles (AV) functions, conventional user manuals may no longer be the most effective medium for conveying knowledge to drivers. This research analysed conventional, paper and video-based instructional methods versus a…

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…

This study is developing a Deep Learning model automating the coding of drawings students provide about climate change phenomena in our world, as a learning contribution through formative assessment. We started first with ResNet50 architecture, but ultimately, we settled on MobileNetV2 reduced architecture for the sake of being able to integrate…

To this date, few standardized tests measuring students' performance with regards to statistics exist. Only four tests have been proposed for college or university students. The goal of the present study is to investigate these tests. University professors or instructors experienced in teaching statistics were asked to list the concepts they think…