This study examines learners' experiences and the use of language learning applications ("apps") as a primary source of "second or additional language learning" ("L2") instruction and assessment in higher education. It purviews the integration of artificial intelligence (AI)-powered features that support…

Purpose: In the USA, 22-40% of youth who have been accepted to college do not enroll. Researchers call this phenomenon summer melt, which disproportionately affects students from disadvantaged backgrounds. A major challenge is providing enough mentorship with the limited number of available college counselors. The purpose of this study is to…

Artificial intelligence (AI) has taken the world by storm, with new AI-powered tools such as ChatGPT opening up new opportunities in higher education for content creation, communication, and learning, while also raising new concerns about the misuses and overreach of technology. Our shared humanity has also become a key focal point within higher…

These proceedings contain the papers and posters of the 15th International Conference on Mobile Learning 2019, which was organised by the International Association for Development of the Information Society and co-organised by the University of Applied Sciences, in Utrecht, The Netherlands, April 11-13, 2019. The Mobile Learning 2019 Conference…

Discusses the development and nature of computer software for intelligent systems, indicating that the key to intelligent problem-solving lies in reducing the random search for solutions. Formal reasoning methods, expert systems, and sources of power in problem-solving are among the areas considered. Specific examples of such software are…

Discusses working implementations of artificial intelligence systems for chemical laboratory applications. They include expert systems for liquid chromatography, spectral analysis, instrument control of a totally computerized triple-quadrupole mass spectrometer, and the determination of the mineral constituents of a rock sample given the powder…

Provided in this report are summaries of grants awarded by the National Science Foundation Division of Computer Research in fiscal year 1984. Similar areas of research are grouped (for the purposes of this report only) into these major categories: (1) computational mathematics; (2) computer systems design; (3) intelligent systems; (4) software…

Examines such questions as: (1) Can creativity be fostered by education, and if so, how? (2) What part does language, man's most effective tool, play in this process? and (3) Could the artificial intelligence of computers be enlisted in the quest for greater creativity? (Author/JN)

Discusses various aspects of artificial intelligence, focusing on three interrelated issues: (1) representation of knowledge, which is roughly the machine equivalent of human memory; (2) control and use of knowledge, which corresponds to human abilities in problem solving and planning; and (3) the acquisition of knowledge, or what humans call…

Distinguishes between computer hardware and software and discusses status of software, application development productivity, software production, and research directions. (JN)

Describes kinds of results achieved by computer programs in artificial intelligence. Topics discussed include heuristic searches, artificial intelligence/psychology, planning program, backward chaining, learning (focusing on Winograd's blocks to explore learning strategies), concept learning, constraint propagation, language understanding…

The use of computers in higher education teaching programs is discussed in 16 papers and reports. Applications of computers in teaching particular subjects including prehistory and anthropology, mathematics, Hindi, plant science, chemistry, language, medicine, drawing, statistics, and engineering are discussed in 10 of the contributions. The other…

Discusses: how artificial intelligence (AI) can advance education; if the future of software lies in AI; the roots of intelligent computer-assisted instruction; protocol analysis; reactive environments; LOGO programming language; student modeling and coaching; and knowledge-based instructional programs. Numerous examples of AI programs are cited.…

A major goal of science education is to turn novices (students) into experts (scientists or science literates) with a minimum amount of pain, effort, and time. However, transfer of biology knowledge from instructor to student usually results in a loss of the rich interconnections that an expert has. The papers in this set describe efforts to…

Intelligent relationships with people are among the goals for tomorrow's computers. Knowledge-based systems used and being developed to achieve these goals are discussed. Automatic learning, producing inferences, parallelism, program languages, friendly machines, computer vision, and biomodels are among the topics considered. (JN)