NotesFAQContact Us
Collection
Advanced
Search Tips
Audience
Teachers1
Laws, Policies, & Programs
What Works Clearinghouse Rating
Showing 1 to 15 of 20 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
O. S. Adewale; O. C. Agbonifo; E. O. Ibam; A. I. Makinde; O. K. Boyinbode; B. A. Ojokoh; O. Olabode; M. S. Omirin; S. O. Olatunji – Interactive Learning Environments, 2024
With the advent of technological advancement in learning, such as context-awareness, ubiquity and personalisation, various innovations in teaching and learning have led to improved learning. This research paper aims to develop a system that supports personalised learning through adaptive content, adaptive learning path and context awareness to…
Descriptors: Cognitive Style, Individualized Instruction, Learning Processes, Preferences
Peer reviewed Peer reviewed
Direct linkDirect link
Tri Puspa Rinjeni; Nur Aini Rakhmawati; Reny Nadlifatin – Journal of Information Technology Education: Research, 2024
Aim/Purpose: This study identifies gamification element preferences based on Myers-Briggs Type Indicator (MBTI) characteristics. It measures the influence of preferences on learning motivation through a pre-experimental design of one group pre-test post-test. Background: Incorporating information technology in education has led to the introduction…
Descriptors: Foreign Countries, Personality Measures, College Students, Information Systems
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Aziman Abdullah – International Society for Technology, Education, and Science, 2023
This study explores the potential of using screen time data in learning management systems (LMS) to estimate student learning time (SLT) and validate the credit value of courses. Gathering comprehensive data on actual student learning time is difficult, so this study uses LMS Moodle logs from a computer programming course with 490 students over 16…
Descriptors: Time Factors (Learning), Handheld Devices, Computer Use, Television Viewing
Peer reviewed Peer reviewed
Direct linkDirect link
Luan, Hui; Tsai, Chin-Chung – Educational Technology & Society, 2021
In recent years, in the field of education, there has been a clear progressive trend toward precision education. As a rapidly evolving AI technique, machine learning is viewed as an important means to realize it. In this paper, we systematically review 40 empirical studies regarding machine-learning-based precision education. The results showed…
Descriptors: Artificial Intelligence, Individualized Instruction, Individual Differences, Educational Trends
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Mao, Ye; Marwan, Samiha; Price, Thomas W.; Barnes, Tiffany; Chi, Min – International Educational Data Mining Society, 2020
Modeling student learning processes is highly complex since it is influenced by many factors such as motivation and learning habits. The high volume of features and tools provided by computer-based learning environments confounds the task of tracking student knowledge even further. Deep Learning models such as Long-Short Term Memory (LSTMs) and…
Descriptors: Time, Models, Artificial Intelligence, Bayesian Statistics
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Lin, Che-Chern; Liu, Zi-Cheng; Chang, Chih-Lin; Lin, Yu-Wen – IEEE Transactions on Education, 2019
Contribution: An online genetic algorithm-based remedial learning system is presented in order to strengthen students' understanding of object-oriented programming (OOP) concepts by tailoring personalized learning materials according to each student's strengths and weaknesses. Background: Prior studies on computer programming education have…
Descriptors: Individualized Instruction, Remedial Instruction, Computer Science Education, Programming Languages
Karaoglan Yilmaz, Fatma Gizem – Online Submission, 2020
The aim of this research is to examine the relationships between students' community of inquiry, academic self-efficacy, reflective thinking skills, problem-solving skills, and metacognitive awareness in a flipped learning environment supported by personalized recommendation and guidance messages based on learning analytics. For this purpose,…
Descriptors: Blended Learning, Learning Analytics, Feedback (Response), Individualized Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Blake, John – Research-publishing.net, 2019
Prototypes of an annotated scientific text visualizer were designed, developed, and deployed. This pedagogic tool is designed to help undergraduates draft short research articles that conform to the generic expectations of their discourse community. This online tool enables users to discover and explore the language features present in short…
Descriptors: Visualization, Discovery Learning, Writing (Composition), Individualized Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Purao, Sandeep; Sein, Maung; Nilsen, Hallgeir; Larsen, Even Åby – IEEE Transactions on Education, 2017
The ideal of self-paced learning, which was introduced nearly 50 years ago by Keller in his Personalized System of Instruction (PSI), has not yet been widely adopted. In spite of its perceived promise of helping students to learn at the speed aligned to their individual backgrounds, motivation, and skills, PSI has been challenging to implement.…
Descriptors: Individualized Instruction, Pacing, Introductory Courses, Programming
Bahargam, Sanaz; Erdos, Dóra; Bestavros, Azer; Terzi, Evimaria – International Educational Data Mining Society, 2015
Whether teaching in a classroom or a Massive Online Open Course it is crucial to present the material in a way that benefits the audience as a whole. We identify two important tasks to solve towards this objective; (1) group students so that they can maximally benefit from peer interaction and (2) find an optimal schedule of the educational…
Descriptors: Grouping (Instructional Purposes), Scheduling, Time Factors (Learning), Individualized Instruction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Sahin, Muhittin; Kisla, Tarik – Turkish Online Journal of Educational Technology - TOJET, 2016
The aim of this research is to analyze university students' attitudes towards personalized learning environments with respect to the independent variables of gender, age, university, year of study, knowledge about the environment, participation in the environment and being willing to participate in the environment. The correlative survey model is…
Descriptors: Foreign Countries, College Students, Correlation, Computer Science Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Xia, Belle Selene – International Journal of Teaching and Learning in Higher Education, 2017
Education research in computer science has emphasized the research of web-based learning environments as a result of the latest technological advancement in higher education. Our research aim is to offer new insights on the different teaching strategies in programming education both from a theoretical and empirical point of view as a response to…
Descriptors: Educational Quality, Teacher Competencies, Computer Science Education, Web Based Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Hsieh, Tung-Cheng; Lee, Ming-Che; Su, Chien-Yuan – Educational Technology & Society, 2013
In recent years, the demand for computer programming professionals has increased rapidly. These computer engineers not only play a key role in the national development of the computing and software industries, they also have a significant influence on the broader national knowledge industry. Therefore, one of the objectives of information…
Descriptors: Foreign Countries, Computer Science Education, Individualized Instruction, Remedial Instruction
Peer reviewed Peer reviewed
Direct linkDirect link
Lin, Shinyi; Shih, Tse-Hua; Lu, Ruiling – International Journal of Technology and Design Education, 2013
Use of innovative learning/instruction mode, embedded in the Certification Pathway System (CPS) developed by Certiport TM, is geared toward Internet and Computing Benchmark & Mentor specifically for IC[superscript 3] certification. The Internet and Computing Core Certification (IC[superscript 3]), as an industry-based credentialing program,…
Descriptors: Computer Science Education, Internet, Information Technology, College Students
Previous Page | Next Page »
Pages: 1  |  2