Publication Date
In 2025 | 4 |
Since 2024 | 7 |
Since 2021 (last 5 years) | 11 |
Since 2016 (last 10 years) | 14 |
Since 2006 (last 20 years) | 17 |
Descriptor
Source
Journal of Educational… | 17 |
Author
Noah L. Schroeder | 2 |
Adesope, Olusola O. | 1 |
Albert D. Ritzhaupt | 1 |
Baoxin Guo | 1 |
Bo Pei | 1 |
Chan, Kan Kan | 1 |
Chang, Chun-Chun | 1 |
Chen, Xieling | 1 |
Cheng, Li | 1 |
Eunbyul Yang | 1 |
Florence Martin | 1 |
More ▼ |
Publication Type
Information Analyses | 17 |
Journal Articles | 17 |
Reports - Research | 7 |
Education Level
Higher Education | 5 |
Postsecondary Education | 5 |
Secondary Education | 4 |
Elementary Education | 3 |
Junior High Schools | 2 |
Middle Schools | 2 |
Elementary Secondary Education | 1 |
High Schools | 1 |
Audience
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Noah L. Schroeder; Robert O. Davis; Eunbyul Yang – Journal of Educational Computing Research, 2025
Pedagogical agents are virtual characters that instructional designers include in learning environments to help students learn. Research in the area has flourished for thirty years, yet there are still critical questions about the efficacy of pedagogical agents for influencing learning and affect. As such, we conducted an umbrella review to…
Descriptors: Educational Technology, Technology Uses in Education, Artificial Intelligence, Intelligent Tutoring Systems
Lihui Sun; Liang Zhou – Journal of Educational Computing Research, 2024
The use of generative artificial intelligence (Gen-AI) to assist college students in their studies has become a trend. However, there is no academic consensus on whether Gen-AI can enhance the academic achievement of college students. Using a meta-analytic approach, this study aims to investigate the effectiveness of Gen-AI in improving the…
Descriptors: Artificial Intelligence, Academic Achievement, College Students, Technology Uses in Education
Shan Zhang; Priyadharshini Ganapathy Prasad; Noah L. Schroeder – Journal of Educational Computing Research, 2025
Given the ubiquity of artificial intelligence (AI), it is essential to empower students to become creators, designers, and producers of AI technologies, rather than limiting them to the role of informed consumers. To achieve this, learners need to be equipped with AI knowledge and concepts and develop AI literacy. Paradoxically, it is largely…
Descriptors: Artificial Intelligence, Technological Literacy, Teaching Methods, Instructional Materials
Hong Li Yang; Jing Jing Xiang – Journal of Educational Computing Research, 2024
Though the relationship between mobile learning and academic achievement has increasingly gained attention by some researchers, the meta-analysis studies have yet to definitively conclude the overall impact of mobile learning on academic achievement. In order to synthesize the findings of 22 meta-analyses that are directly pertinent to the…
Descriptors: Academic Achievement, Meta Analysis, Technology Uses in Education, Electronic Learning
Gawon Yun; Kewman M. Lee; Hailey Hyunjin Choi – Journal of Educational Computing Research, 2025
Scholarly interest in artificial intelligence (AI) has surged as researchers delve into its transformative impact on various aspects of our lives. AI poses both benefits and challenges, particularly in the context of educators' endeavors to comprehend the intricacies of students' learning processes. Although the use of AI to enhance and assist…
Descriptors: Student Empowerment, Bibliometrics, Artificial Intelligence, Computer Software
Chang, Chun-Chun; Hwang, Gwo-Jen; Tu, Yun-Fang – Journal of Educational Computing Research, 2022
Concept maps have been verified as an effective learning tool in technology-supported learning environments, in particular, in K-12 education. To enable educational technology researchers and school teachers to thoroughly know the research foci and applications of concept maps in technology-supported learning environments for K-12 education…
Descriptors: Concept Mapping, Elementary Secondary Education, Educational Technology, Technology Uses in Education
Xiaohong Liu; Baoxin Guo; Wei He; Xiaoyong Hu – Journal of Educational Computing Research, 2025
Generative artificial intelligence (GenAI) has significant potential for educational innovation, although its impact on students' learning outcomes remains controversial. This study aimed to examine the impact of GenAI on the learning outcomes of K-12 and higher education students, and explore the moderating factors influencing this impact. A…
Descriptors: Artificial Intelligence, Man Machine Systems, Natural Language Processing, Technology Uses in Education
Yu, Qing; Yu, Kun – Journal of Educational Computing Research, 2023
Body movements are regarded as part of the learning process. With the evolution of motion-sensing technology (MST) (e.g., Kinect, Xtion Pro, and Leap Motion), educational researchers try to explore the effect of MST on learning. However, the effect of MST on learning performance is still unclear. This is the first meta-analysis that aims to…
Descriptors: Human Body, Motion, Information Technology, Computer Software
Xiaoman Wang; Rui Huang; Max Sommer; Bo Pei; Poorya Shidfar; Muhammad Shahroze Rehman; Albert D. Ritzhaupt; Florence Martin – Journal of Educational Computing Research, 2024
The purpose of this research study was to examine the overall effect of adaptive learning systems deployed using artificial intelligence technology across a range of relevant variables (e.g., duration, student level, etc.). Following a systematic procedure, this meta-analysis examined literature from 18 academic databases and identified N = 45…
Descriptors: Meta Analysis, Outcomes of Education, Artificial Intelligence, Learning Management Systems
Jongsma, Mirella V.; Scholten, Danny J.; van Muijlwijk-Koezen, Jacqueline E.; Meeter, Martijn – Journal of Educational Computing Research, 2023
In recent years, the technical possibilities of educational technologies regarding online peer feedback have developed rapidly. However, the impact of online peer feedback activities compared to traditional offline variants has not specifically been meta-analyzed. Therefore, the aim of the current meta-analysis is to do an in-depth comparison…
Descriptors: Peer Evaluation, Feedback (Response), Computer Mediated Communication, Technology Uses in Education
Shi, Yinghui; Yang, Huiyun; MacLeod, Jason; Zhang, Jingman; Yang, Harrison Hao – Journal of Educational Computing Research, 2020
Technology-enabled active learning environments (TE-ALEs) have attracted considerable research interest, particularly in higher education. However, research shows inconsistent results describing the influence of TE-ALEs toward students' cognitive learning outcomes. This study was designed to identify high-quality empirical research examining…
Descriptors: College Students, Educational Objectives, Active Learning, Technology Uses in Education
Cheng, Li; Pastore, Raymond; Ritzhaupt, Albert D. – Journal of Educational Computing Research, 2022
With the explosion of multimedia learning environments and the use of digital time-compression algorithms in common software and hardware, we need guidance on how to use this technology without sacrificing quality and learning outcomes. The purpose of the meta-analysis is to examine the existing empirical research literature to derive an overall…
Descriptors: Meta Analysis, Multimedia Instruction, Teaching Methods, Feedback (Response)
Hao, Tianyong; Chen, Xieling; Song, Yu – Journal of Educational Computing Research, 2020
With growing interest in technology and its application within education, an increasing volume of research literature concerning the utilisation of technology in classroom dialogue has become available. To provide a comprehensive overview of the research area, this paper reports the results of topic-based bibliometric analysis of relevant articles…
Descriptors: Bibliometrics, Educational Research, Technology Uses in Education, Educational Technology
Niu, Lian – Journal of Educational Computing Research, 2019
This study reviews the international literature on using Facebook for academic purposes to examine whether and how this popular social networking site contributes to teaching and learning in formal education. A review of 57 empirical studies on this topic suggest that (a) the majority of studies report positive effects or feedback of using…
Descriptors: Social Media, Technology Uses in Education, Integrated Learning Systems, Electronic Learning
Nakic, Jelena; Granic, Andrina; Glavinic, Vlado – Journal of Educational Computing Research, 2015
This study brings an evidence-based review of user individual characteristics employed as sources of adaptation in recent adaptive learning systems. Twenty-two user individual characteristics were explored in a systematically designed search procedure, while 17 of them were identified as sources of adaptation in final selection. The content…
Descriptors: Individual Characteristics, Cognitive Ability, Educational Technology, Web Based Instruction
Previous Page | Next Page ยป
Pages: 1 | 2