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Da Teng; Xiangyang Wang; Yanwei Xia; Yue Zhang; Lulu Tang; Qi Chen; Ruobing Zhang; Sujin Xie; Weiyong Yu – Education and Information Technologies, 2025
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…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Flipped Classroom, Technology Uses in Education
Sonia Triana-Vera; Omar López-Vargas – Contemporary Educational Technology, 2025
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…
Descriptors: Self Efficacy, Electronic Learning, Scaffolding (Teaching Technique), High School Students
Alshammari, Mohammad T.; Qtaish, Amjad – Journal of Information Technology Education: Research, 2019
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…
Descriptors: Electronic Learning, Cognitive Style, Knowledge Level, Individualized Instruction
Hariyanto, Didik; Triyono, Moch. Bruri; Köhler, Thomas – Knowledge Management & E-Learning, 2020
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…
Descriptors: Usability, Electronic Learning, Individualized Instruction, Computer Assisted Instruction
Zheng, Lanqin; Zhong, Lu; Niu, Jiayu; Long, Miaolang; Zhao, Jiayi – Educational Technology & Society, 2021
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…
Descriptors: Instructional Effectiveness, Individualized Instruction, Computer Assisted Instruction, Cooperative Learning
González-Castro, Nuria; Muñoz-Merino, Pedro J.; Alario-Hoyos, Carlos; Delgado Kloos, Carlos – Australasian Journal of Educational Technology, 2021
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…
Descriptors: Online Courses, Learning Modules, Computer Science Education, Programming
Vanek, Jenifer B. – ProQuest LLC, 2017
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…
Descriptors: Migrants, Adult Learning, Computer Literacy, Media Literacy
Tseng, Shian-Shyong; Su, Jun-Ming; Hwang, Gwo-Jen; Hwang, Gwo-Haur; Tsai, Chin-Chung; Tsai, Chang-Jiun – Educational Technology & Society, 2008
The popularity of web-based learning systems has encouraged researchers to pay attention to several new issues. One of the most important issues is the development of new techniques to provide personalized teaching materials. Although several frameworks or methods have been proposed, it remains a challenging issue to design an easy-to-realize…
Descriptors: Computer Assisted Instruction, Educational Technology, Individualized Instruction, Intelligent Tutoring Systems

Seidel, Robert J.; And Others – Instructional Science, 1978
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)
Descriptors: Computer Assisted Instruction, Computer Science Education, Educational Research, Individualized Instruction

Nievergelt, Jurg; And Others – 1974
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…
Descriptors: College Students, Computer Assisted Instruction, Computer Science, Computer Science Education
Buraphadeja, Vasa; Kumnuanta, Jirang – Australasian Journal of Educational Technology, 2011
In its second decade of education reform and its third cycle of national ICT master plans, Thailand struggles to transform its aspirations into practice. This paper chronicles three decades of Thailand's ICT national plans and their relation to education reform. It also discusses the effect of global trends, Asian cultures, and Thai cultures on…
Descriptors: Foreign Countries, Peer Teaching, Tutoring, Asian Culture

Koffman, E. B.; Perry, J. M. – International Journal of Man-Machine Studies, 1976
Describes a model for the design of computer assisted instruction (CAI) in problem solving for an introductory digital systems design course. Includes evaluation. (LS)
Descriptors: Computer Assisted Instruction, Computer Science Education, Evaluation, Higher Education

Boulet, Marie-Michele – Journal of Computing in Higher Education, 1994
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)
Descriptors: Computer Assisted Instruction, Computer Science Education, Computer Software, Databases
Shahdanian, John L.; Walsh, John J. – Training, 1975
A program of multimedia courses for employees and customers in computer programing education makes training pay at Honeywell Information Systems. (Author)
Descriptors: Autoinstructional Aids, Computer Assisted Instruction, Computer Science Education, Individualized Instruction
Danielson, Ronald L.; Nievergelt, Jurg – 1974
A program was developed to use the PLATO IV system of the University of Illinois to help students solve typical programing problems. The program tries to approximate a near-ideal situation in which each student receives correction of logical errors and comments on good programing practice as he goes along in a one-on-one tutorial environment. The…
Descriptors: Computer Assisted Instruction, Computer Programs, Computer Science Education, Computers
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