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…

Considers how good phonics instruction should encourage children to recognize rimes and to identify an unfamiliar word by blending its onset with the rime that follows. Discusses seven conclusions/implications for phonics software derived from research into phonics instruction. (SG)

Early programs for computer-assisted language learning were limited in size and power by the capabilities of the first generation of microcomputers. As these capabilities have increased, it has become possible for language teachers to take advantage of tools originally intended for use in the business world, such as word processors, spreadsheets,…

Describes the use of learning groups and computer-assisted instruction in introductory psychology classes at the University of Minnesota's General College, focusing on such applications as student psychology projects, study guide exercises, homework assessment, matching exercises, weekly quizzes, and practice materials. (DMM)

Examines role of teacher observation in children's free play at classroom computers. Considers Piaget's theory of interaction and Vygotsky's theory of zone of proximal development as groundwork for discussing the benefits of teacher observation to a developmentally appropriate classroom, including promoting confidence, selecting software, working…

Reviews the use of computer-assisted language learning (CALL) in second-language education and asserts that CALL is an instructional tool rather than a teaching method. More active involvement by educators in planning and developing CALL technologies and software for the second-language classroom is advocated. (83 references) (JL)