This article seeks to explore the convergent validity of (and thus the consistency between) a few popular generative artificial intelligence (AI) robots in evaluating popular mobile learning apps' usability. The three robots adopted in the study were Microsoft Copilot, Google PaLM, and Meta Llama, which were individually instructed to accord…

A Computer-Assisted Language Learning (CALL) application, TextMix, was developed as a proof-of-concept for applying Natural Language Processing (NLP) sentence chunking techniques to creating 'sentence scramble' learning tasks. TextMix addresses limitations of existing applications for creating sentence scrambles by using NLP to parse and scramble…

Intelligent Computer-Assisted Language Learning (ICALL) involves using tools and techniques from computational linguistics and Natural Language Processing (NLP) in the language learning process. It is an inherently complex endeavour and is multi-, inter-, and trans-disciplinary in nature. Often these tools and techniques are designed for tasks and…

Problematic smartphone usage has been widely recognized (e.g. Al-Barashidi, Bouazza, & Jabur, 2015; Chóliz, 2012). However, few researchers have investigated the relationship between students' feelings towards their smartphones and their acceptance of Mobile-Assisted Language Learning (MALL). This exploratory study of thirty-six Japanese…

In this short paper, we present some initial work on Mobile Assisted Language Learning (MALL) undertaken by the ATLAS research group. ATLAS embraced this multidisciplinary field cutting across Mobile Learning and Computer Assisted Language Learning (CALL) as a natural step in their quest to find learning formulas for professional English that…

This paper is part of a larger project that examines some of the best-selling iPhone apps designed to learn English pronunciation. Informed by the literature on pronunciation teaching/acquisition, Computer Assisted Pronunciation Teaching (CAPT), Computer Assisted Language Learning (CALL) and Mobile-learning (M-learning), it provides a critical…

This paper is part of a work-in-progress that reports on the design, development, and evaluation of a Digital Collaborative Strategic Reading (DCSR) application with regard to its effectiveness in improving English as a second language (ESL) reading comprehension. The DCSR application allows users to read collaboratively on multitouch and…

Some examples of the usage of computers in teaching and learning are examination generation, automatic exam grading, student tracking, problem generation, computational examination generators, program packages, simulation, and programing skills for problem solving. These applications are non-trivial and do fulfill the basic assumptions necessary…

A system of computer assisted design for instructional materials (CADI) would increase the productivity of instructional designers of software, and keep costs from escalating as rapidly as they are at present. At Wayne State University, some steps toward CADI have been taken, with the result that personnel time has been reduced for some…

Computer managed instruction (CMI) is essentially an information system capable of deciding on performance expectations and appropriate educational experiences. In addition to the two decision processes, five major processes are viewed as being central to the man-machine system of CMI: test scoring, achievement profiling, diagnosing, prescribing,…

At Gallaudet College, additional computer hardware has been required to meet the computer needs of administration, faculty, and students. Used in such disciplines as English, mathematics, chemistry, and foreign language; computer assisted instruction has proven particularly helpful in teaching the deaf. (EMH)

Discusses optimum school uses for microcomputers, how computers affect learning, and how computer effectiveness can be maximized. (JOW)

The role of the computer in the classroom can range from "toy" to be used when boredom sets in to mechanical monster that monopolizes precious classroom time with little residual benefit. However, a middle ground exists. At Auburn University (Alabama), the computer is used in an intermediate French course to complement rather than…

Intelligent instructional systems can be distinguished from more conventional approaches by the automation of instructional interaction and choice of strategy. This approach promises to reduce the costs of instructional materials preparation and to increase the adaptability and individualization of the instruction delivered. Tutorial simulation…

The use of computer conferencing (CC) to support undergraduate distance learners will, presumably, lower attrition rates for distance learners by providing students with the ability to exchange ideas and develop insights with others, overcoming the intellectual and social isolation associated with correspondence courses. It will be years before…