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Ryusei Munemura; Fumiya Okubo; Tsubasa Minematsu; Yuta Taniguchi; Atsushi Shimada – International Association for Development of the Information Society, 2024
Course planning is essential for academic success and the achievement of personal goals. Although universities provide course syllabi and curriculum maps for course planning, integrating and understanding these resources by the learners themselves for effective course planning is time-consuming and difficult. To address this issue, this study…
Descriptors: Curriculum Development, Artificial Intelligence, Natural Language Processing, Technology Uses in Education
João Arantes do Amaral – Journal of Open, Flexible and Distance Learning, 2024
This article presents findings from a massive, free-of-charge online extension course titled Systems Thinking, which was conducted in Brazil in May and June 2024. The course engaged 345 participants. The research aimed to analyse how students' backgrounds, learning methods, and use of AI tools influenced learning outcomes. A mixed-method approach…
Descriptors: Cognitive Style, MOOCs, Outcomes of Education, Artificial Intelligence
Qiongli Zhu; Sarfaroz Niyozov – Journal of the Scholarship of Teaching and Learning, 2024
This article presents a case study of an online course that cross-pollinated Universal Design for Learning (UDL) and dialogic teaching to facilitate deep learning. Conceptualized through the UDL framework, dialogue and dialogic teaching, and deep learning, our analysis employs the methods of design-based research and thematic analysis to unpack…
Descriptors: Online Courses, Access to Education, Artificial Intelligence, Technology Uses in Education
Goldman, Steven L. – Science, Technology and Society, 1985
Describes and outlines the general syllabus of a philosophy course entitled, "Minds and Robots." Lists the assigned readings and explains the issues addressed in the 14-week course. Essay questions that are used for the mid-term and final exams are also included. (ML)
Descriptors: Artificial Intelligence, Cognitive Development, Course Content, Course Descriptions
Atnip, Gilbert W. – 1985
This paper describes an undergraduate-level course designed to teach the applications of computers that are most relevant in the social sciences, especially psychology. After an introduction to the basic concepts and terminology of computing, separate units were devoted to word processing, data analysis, data acquisition, artificial intelligence,…
Descriptors: Artificial Intelligence, Computer Literacy, Computer Simulation, Course Content
Computing Teacher, 1985
Defines computer literacy and describes a computer literacy course which stresses ethics, hardware, and disk operating systems throughout. Core units on keyboarding, word processing, graphics, database management, problem solving, algorithmic thinking, and programing are outlined, together with additional units on spreadsheets, simulations,…
Descriptors: Artificial Intelligence, Computer Graphics, Computer Literacy, Computer Simulation
Beniger, James R. – Science, Technology & Society, 1987
Provides the syllabus for a graduate course in communication technologies and social change offered at the University of California (Annenberg School of Communications). Includes a course overview, a list of readings, and a weekly breakdown of topics and assignments. Addresses the preindustrial, industrial and information societies. (TW)
Descriptors: Artificial Intelligence, College Science, Communications, Computers