The swift advancement of artificial intelligence, especially large language models (LLMs), has generated novel prospects for improving educational methodologies. Nonetheless, the successful incorporation of these technologies into pedagogical methods, such as flipped classrooms, continues to pose a challenge. This study investigates the…

This research aimed to determine the effects of motivational scaffolding and adaptive scaffolding on academic and online self-efficacy in learners interacting with a multimedia learning environment within the field of technology. The study involved 146 students from four tenth-grade classes at a public institution in the municipality of Soacha…

Aim/Purpose: Effective e-learning systems need to incorporate student characteristics such as learning style and knowledge level in order to provide a more personalized and adaptive learning experience. However, there is a need to investigate how and when to provide adaptivity based on student characteristics, and more importantly, to evaluate its…

One of the advanced technologies in e-learning deals with the systems' ability to fit the students' preferences. It emerged based upon the common conception that every person has different learning style. However, despite the many options of learning style models toward using personalized elearning, there are considerable challenges to assess the…

In recent years, the rapid development of artificial intelligence has increased the power of personalized learning. This study aimed to provide personalized intervention for each group participating in computer-supported collaborative learning. The personalized intervention adopted a deep neural network model, Bidirectional Encoder Representations…

Massive open online courses (MOOCs) pose a challenge for instructors when trying to provide personalised support to learners, due to large numbers of registered participants. Conversational agents can be of help to support learners when working with MOOCs. This article presents an adaptive learning module for JavaPAL, a conversational agent that…

This research explores the difficulties faced by many migrant, refugee, and immigrant adults confronted with technological ubiquity in economically developed countries. Preparing migrant adult learners for the digital world by building digital literacy skills can help to maintain home language proficiency, support English language learning, and…

A project to accommodate the large and increasing enrollment in introductory computer science courses by automating them with a subsystem for computer science instruction on the PLATO IV Computer-Based Education system at the University of Illinois was started. The subsystem was intended to be used for supplementary instruction at the University…

Results of a computer assisted instruction project for individualized instruction in London, England. (HB)

Author describes a three-school model computer assisted instruction program underway in the Montgomery County, Maryland, public school system. (Author)

This study was designed to test effects of a specified degree of learner control over the sequencing of instructional materials in a self contained tutorial CAI course in COBOL programming. Findings describe contributions and interactions of learner controlled variables with respect to instructional effectiveness and efficiency. (RAO)

While the computer is presently largely performing functions such as payroll processing and scheduling, in a few years it will affect virtually every student from the kindergarten through the graduate school in some way or another relating to his learning. (Author/CB)

A look at the Air Force Advanced Instructional System (AIS), which is a proposed computer-based multimedia system for the administration and management of individualized technical training on a large scale. (Author)

Describes a model for the design of computer assisted instruction (CAI) in problem solving for an introductory digital systems design course. Includes evaluation. (LS)

An intelligent advisor computer program designed to assist undergraduate computer science students in producing an entity-relationship diagram, a conceptual model of a database. The advisor helps students perform modeling exercises and monitors student performance. (MSE)