This study investigated effective teaching strategies for enhancing mathematical fundamentals in Key Stage 1, specifically in Kindergarten and Grade 1, under the newly implemented MATATAG Curriculum. Anchored on the principle that early numeracy forms the foundation for future academic success. The research addressed the gap in instructional…

Purpose: This study aimed to develop an instructional material in learning pre-calculus that can be used by the Grade 10 students at a school in Cauayan City, Philippines to improve their competency in Mathematics, particularly in Pre-Calculus. Method: The study employed a quasi-experimental research design consisting of two groups, the…

This study explores the generative artificial intelligence (GAI) prompting practices of Australian primary and secondary educators in the first year following the advent of OpenAI's ChatGPT. Following a brief training workshop on prompting GAI for pedagogical purposes, 38 teachers uploaded 252 prompts they deemed 'pedagogically useful' and 19…

Large Language Models (LLMs) are a powerful type of Artificial Intelligence (AI) that simulates how humans organize language and are able to interpret, predict, and generate text. This allows for contextual understanding of natural human language which enables the LLM to understand conversational human input and respond in a natural manner. Recent…

The aim of this action research study is to determine how differentiated mathematics stations effect student learning. The research question that guided this study is as follows: How does the implementation of differentiated instruction using math stations impact individual student learning progression on the SLO posttest, unit pretest and post…

A description of the Duluth Student Learning Contract which provides a student with a program for individualized study. (AK)

Discusses the need for and use of models in the design and development of instructional materials, providing an overview of the main characteristics of a unit model and three course models: a simple linear model, a refined linear model, and a branched model. (RAO)