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Chang, Hui-Tzu; Lin, Chia-Yu; Jheng, Wei-Bin; Chen, Shih-Hsu; Wu, Hsien-Hua; Tseng, Fang-Ching; Wang, Li-Chun – Educational Technology & Society, 2023
The objective of this research is based on human-centered AI in education to develop a personalized hybrid course recommendation system (PHCRS) to assist students with course selection decisions from different departments. The system integrates three recommendation methods, item-based, user-based and content-based filtering, and then optimizes the…
Descriptors: Artificial Intelligence, Course Selection (Students), Blended Learning, Accuracy
Zhang, Yin; Chu, Samuel Kai Wah; Liu, Yonghui; Lu, Xiaoli – Educational Technology & Society, 2023
Previous research has looked into educational approaches to prevent plagiarism in academic writing, yielding insights into how plagiarism can be avoided. However, plagiarism remains a major problem in the education sector. We designed a training module that includes a customised Online Scaffolding Writing System (OSWS) to help faculty teach…
Descriptors: Undergraduate Students, Plagiarism, Prevention, Academic Language
Chang, Hui-Tzu; Lin, Chia-Yu; Wang, Li-Chun; Tseng, Fang-Ching – Educational Technology & Society, 2022
In this study, we built a personalized hybrid course recommendation system (PHCRS) that considers students' interests, abilities and career development. To meet students' individual needs, we adopted the five most widely used algorithms, including content-based filtering, popularity-based methods, item-based collaborative filtering, user-based…
Descriptors: Course Selection (Students), Blended Learning, Artificial Intelligence, Mathematics
Yang, Christopher C. Y.; Ogata, Hiroaki – Educational Technology & Society, 2023
Blended learning (BL) is regarded as an effective strategy for combining traditional face-to-face classroom activities with various types of online learning tools (e.g., e-books). An effective feature of e-books is the ability to use digital notes. When e-books are used in BL, the strategic adoption of note-taking provides benefits that influence…
Descriptors: Blended Learning, Sequential Approach, Notetaking, Electronic Publishing
Hui Shan Lo; Yung Ji Sher; Jon Chao Hong; Hsu Kai Chang; Ting Fang Wu – Educational Technology & Society, 2024
Virtual Reality (VR) holds promise in vocational education and benefits individuals with disabilities. This study aims to assess the effectiveness of a blended learning approach using VR and traditional instruction in teaching car detailing skills to students with intellectual disabilities (ID). This study utilized a group comparison research…
Descriptors: Computer Simulation, Vocational Education, Students with Disabilities, Intellectual Disability
Benazir Quadir; Jie Chi Yang – Educational Technology & Society, 2024
Many advanced learning tools have been recently developed; however, demand for interactive environments that can enhance learning performance in a blended setting is growing. This study designed an interactive approach by integrating a learning tool, interactive sessions, and a variety of interaction types, and the effects of the types of…
Descriptors: Technology Uses in Education, Interaction, Academic Achievement, Public Colleges
Rof, Albert; Bikfalvi, Andrea; Marques, Pilar – Educational Technology & Society, 2022
The COVID-19 pandemic has forced the digitalization of the majority of universities, prior to which they were largely operating using face-to-face modes of learning. Increased competition in the digital environment places universities under greater pressure to offer an innovative learning experience. The purpose of this paper is to understand the…
Descriptors: COVID-19, Pandemics, Electronic Learning, Educational Change
Han, Feifei; Ellis, Robert A. – Educational Technology & Society, 2021
One of the major objectives of precision education is to improve prediction of educational outcome. This study combined theory-driven and data-driven approaches to address the limitations of current practice of predicting learning outcomes only using a single approach. The study identified the online learning patterns by using students'…
Descriptors: Grade Prediction, Electronic Learning, Blended Learning, Academic Achievement
Lucas Kohnke; Dennis Foung; Di Zou; Meilin Jiang – Educational Technology & Society, 2024
Teachers fostering future-ready graduates need to master updated pedagogical and technological knowledge, so teacher professional development (TPD) is essential. Conventional TPD activities such as seminars and workshops are limited as they require specific time blocks and lack flexibility. The current study investigated TPD through microlearning…
Descriptors: Learning Activities, Teaching Methods, Electronic Learning, Blended Learning
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
Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – Educational Technology & Society, 2021
Precision education requires two equally important conditions: accurate predictions of academic performance based on early observations of the learning process and the availability of relevant educational intervention options. The field of learning analytics (LA) has made important contributions to the realisation of the first condition,…
Descriptors: Learning Analytics, Individualized Instruction, Blended Learning, Electronic Learning
Zheng, Lanqin; Bhagat, Kaushal Kumar; Zhen, Yuanyi; Zhang, Xuan – Educational Technology & Society, 2020
The purpose of this study was to examine the overall effectiveness of the flipped classroom on students' learning achievement and motivation. Data were collected from three databases, which include Web of Science, Scopus, and Eric. The present meta-analysis synthesized the findings of 95 studies with 15,386 participants published from 2013 to…
Descriptors: Outcomes of Education, Blended Learning, Academic Achievement, Learning Motivation
Davy Tsz Kit Ng; Xiaoxuan Fang – Educational Technology & Society, 2023
Due to the varied social inequities, the pandemic has prompted unprecedented attention to the social divides in learning gains via online/blended learning. It has been identified that approximately 27,000 Chinese cross-border students live on the Mainland but attend Hong Kong schools every day. The pandemic has restricted the passage of the…
Descriptors: Foreign Countries, Metacognition, Student Attitudes, COVID-19
Lin, Yen-Nan; Hsia, Lu-Ho – Educational Technology & Society, 2019
Billiards is a sport that not only requires numerous skills, but also emphasizes the strategies of planning the path of the contact and shot. Traditional billiards training mainly focuses on skills practicing, while the strategies for facing different kinds of challenges in billiards competitions are usually ignored. Therefore, referring to social…
Descriptors: Games, Training, Skill Development, Telecommunications
Pedersen, Alex Young; Nørgaard, Rikke Toft; Köppe, Christian – Educational Technology & Society, 2018
Reconsidering the concept of digital citizenship and the essential component of education, the authors propose that the concept of Hybrid Education may serve both as a guideline for the utilization of digital technologies in education and as a methodology for fostering new forms of participation, inclusion and engagement in society. Following T.…
Descriptors: Inclusion, Blended Learning, Electronic Learning, Citizenship Education