Personas, initially originated in user experience research, are short and simplified representations of particular user groups, and this methodological approach has recently gained ground in educational research. This study aims to explore aspects of personas that may be beneficial for prospective mathematics teachers when they develop digital…

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…

Artificial intelligence is the simulation or development of reasoning and other human-like cognitive abilities by computers. Currently, there is limited exploration of applications of artificial intelligence tools for teaching reading to children in the early childhood and elementary grades, including how artificial intelligence might be used to…

As artificial intelligence (AI) technologies become increasingly embedded in language education, it is essential to move beyond perception-based research and examine teachers' actual experiences with AI integration. Drawing on Expectancy Value Theory (EVT), this qualitative study explores how Chinese EFL teachers have engaged with AI tools in…

Background/purpose: ChatGPT is an artificial intelligence program released in November 2022, but even now, many studies have expressed excitement or concern about its introduction into academia and education. While there are many questions to be asked, the current study reviews the literature in order to reveal the potential effects of ChatGPT on…

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 purpose of this study was to evaluate the psychometric quality (i.e., validity and reliability) of a rating scale to assess pre-service teachers' lesson plan development in the context of secondary-level music performance classrooms. The research questions that guided this study include: (1) What items demonstrate acceptable model fit for the…

Through consideration of critical incidents, this study analyzed 106 effective, ineffective and extraordinary instructional design and multimedia production (MP) activities discussed by 36 instructional design professionals. This evaluation provided insights into these professionals' best and not so best practices during the past 6 months.…

Grid computing environments with abundant resources can support innovative e-Learning applications, and are promising platforms for e-Learning. To support individualized and adaptive learning, teachers are encouraged to develop various teaching materials according to different requirements. However, traditional methodologies for designing teaching…

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)

Presents specific guidelines for designing instructional programs that will be delivered on microcomputers so that these programs will use the capacity of the microcomputer system in a way that will develop in learners a range of cognitive skills and help learners to evolve useful learning strategies. (Author)

Describes the step-by-step development of manipulative learning materials--materials with explicit instructions and some type of built-in reinforcement so that students can know if their answers are correct--for use in the content areas. (HTH)

Describes a cooperative project to develop materials for a self-paced, personalized system of instruction (PSI) to be used in core engineering courses offered at six participating colleges. Faculty training in PSI methods, cost effectiveness, and project evaluation are discussed. Four references are listed. (FM)

A project made use of computer technology to help a child with cerebral palsy communicate and learn. Software programs for the project, developed by the City of Manchester College of Higher Education and the Lancasterian School, are widely adaptable and can be used by nonspecialist teachers. (Authors/PP)