The study proposes a balanced approach and flexible guidelines for incorporating generative artificial intelligence (AI) into university-level teaching and learning processes at both the university-departmental level and within individual academic autonomy. Building on the AI Ecological Education Policy Framework, the guidelines offer a suggestive…

Automated image analysis has received increasing attention in social scientific research, yet existing scholarship has mostly covered the application of supervised learning to classify images into predefined categories. This study focuses on the task of unsupervised image clustering, which aims to automatically discover categories from unlabelled…

This study aims to produce a more personalized recommendation system for online learning using multicriteria in collaborative filtering and data from the Binus Online Learning repository as a knowledge base. The study uses forecasting (regression) and consists of three stages: (1) collecting data on the results of the learning process; (2) adding…

Computers can help the range of ways learners build up their own perception. Students who collect data from the Internet can be self-directed and independent. They can select sources to study and the connections to follow. Relying on the bounds laid down by teachers, the students may be in full control of their subjects and their studies. Students…

The design of an Intelligent Tutoring System (ITS) in a knowledge domain where expertise is modeled as a set of uncertain and incomplete beliefs that are justifiable and expressible in the form of a critical argument is outlined. Issues concerning knowledge communication in a tutorial interaction are discussed with reference to a cognitive model…

Defines artificial intelligence (AI) in relation to intelligent computer-assisted instruction (ICAI) and science education. Provides a brief background of AI work, examples of expert systems, examples of ICAI work, and addresses problems facing AI workers that have implications for science education. Proposes a revised model of the Karplus/Renner…

The work described here forms part of a project using models of musical ideas within an artificial intelligence and education framework whose goal is to encourage and facilitate music composition by novices. Formal knowledge of the domain (popular music) is too incomplete and fragmented to support a traditional expert-based tutor for precisely…

People use and extend their knowledge of the physical world constantly. Understanding how this fluency is achieved would be an important milestone in understanding human learning and intelligence, as well as a useful guide for constructing machines that learn. This paper presents a theoretical framework that is being developed in an attempt to…

"Theoretical Foundations of Learning Environments" describes the most contemporary psychological and pedagogical theories that are foundations for the conception and design of open-ended learning environments and new applications of educational technologies. In the past decade, the cognitive revolution of the 60s and 70s has been…