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Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
Sharma, Sarika; Vaidya, Anagha; Deepika, Kumari – On the Horizon, 2022
Purpose: In today's dynamic situation, innumerable challenges are posited in the education sector because of the COVID-19 pandemic. Higher educational institutes (HEIs) are compelled to adopt digital technologies and technology-mediated learning in the teaching-learning processes. The purpose of this paper is to understand the factors affecting…
Descriptors: Instructional Effectiveness, Student Satisfaction, Electronic Learning, Technology Uses in Education
Hwang, Wu-Yuin; Purba, Siska Wati Dewi – Asia-Pacific Education Researcher, 2022
The Ubiquitous-Physics (U-Physics) app was upgraded to help students in learning inclined plane concepts. The new version of U-Physics allows students to see the experimental data not only in a graphical representation but also in a tabular representation. U-Physics provides a whiteboard function to support data explanations. The study…
Descriptors: Science Instruction, Physics, Educational Technology, Technology Uses in Education
Zheng, Lanqin; Niu, Jiayu; Zhong, Lu; Gyasi, Juliana Fosua – Interactive Learning Environments, 2023
Recently, artificial intelligence (AI) technologies have been widely used in the field of education, and artificial intelligence in education (AIEd) has gained increasing attention. However, no quantitative meta-analysis has been conducted on the overall effectiveness of AI on learning achievement and learning perception. To close this research…
Descriptors: Instructional Effectiveness, Artificial Intelligence, Academic Achievement, Student Attitudes
Liang Zhang; Jionghao Lin; John Sabatini; Conrad Borchers; Daniel Weitekamp; Meng Cao; John Hollander; Xiangen Hu; Arthur C. Graesser – IEEE Transactions on Learning Technologies, 2025
Learning performance data, such as correct or incorrect answers and problem-solving attempts in intelligent tutoring systems (ITSs), facilitate the assessment of knowledge mastery and the delivery of effective instructions. However, these data tend to be highly sparse (80%90% missing observations) in most real-world applications. This data…
Descriptors: Artificial Intelligence, Academic Achievement, Data, Evaluation Methods
Tsang, Jenny T. Y.; So, Mike K. P.; Chong, Andy C. Y.; Lam, Benson S. Y.; Chu, Amanda M. Y. – Education Sciences, 2021
The global coronavirus disease (COVID-19) outbreak forced a shift from face-to-face education to online learning in higher education settings around the world. From the outset, COVID-19 online learning (CoOL) has differed from conventional online learning due to the limited time that students, instructors, and institutions had to adapt to the…
Descriptors: COVID-19, Pandemics, Online Courses, Educational Technology
Lingli Li; Shuqing Chen; Pingping Tang; Kai Lv; Ping Li; Yunying Xu – SAGE Open, 2025
The quality of online learning is generally acknowledged to be a crucial element in students' academic achievement. Using a quantitative, cross-sectional paradigm, this study sought to analyze the link between university students perceived online course experiences and deep learning, with an emphasis on the mediating function of self-regulation…
Descriptors: Online Courses, Self Management, Undergraduate Students, Student Attitudes
Hwang, Wu-Yuin; Hariyanti, Uun; Abdillah, Yan Amal; Chen, Holly S. L. – Educational Technology & Society, 2021
Geometry is essential for mathematics learning given that it is strongly related to our surroundings; however, few studies concentrated on using geometry in our daily life, especially using mobile devices with their sensors. Thus, this study proposed one app, Ubiquitous Geometry (UG), and explored its effects on learning angles and polygons in…
Descriptors: Geometry, Mathematics Instruction, Computer Oriented Programs, Educational Technology
Li, Yaoran; Garza, Veronica; Keicher, Anne; Popov, Vitaliy – Technology, Knowledge and Learning, 2019
The current study aims to explore predictors that independently contribute to high school teacher use of technology in general and for different teaching purposes (student-centered and traditional). High school teachers (N = 928) responded to a survey that consisted of measures in several categories: (1) teachers' background variables, (2)…
Descriptors: Predictor Variables, High School Teachers, Technology Uses in Education, Teacher Attitudes
Hero, Jesson L. – Online Submission, 2019
With the implementation of the K to 12 Education program in the Philippines, it necessitates the use of technology in teaching. Technology integration in teaching helps and assists Social Studies teachers to fill the gap and aid the weakness of traditional teaching methods with technology-based teaching and learning tools and facilities. Hence,…
Descriptors: Technology Integration, Foreign Countries, Instructional Effectiveness, Social Studies
Song, Boon Khing – Australasian Journal of Educational Technology, 2021
Electronic portfolios (e-portfolios) have been widely used to help learners collect evidence of their learning, reflect on their evaluation, and promote self-directed learning. Through the introduction of an e-portfolio platform in a cluster of lessons in a module in a polytechnic in Singapore, this paper aimed to evaluate the effectiveness of the…
Descriptors: Portfolios (Background Materials), Electronic Publishing, Student Attitudes, Independent Study
Carroll, Meredith; Lindsey, Summer; Chaparro, Maria; Winslow, Brent – Interactive Learning Environments, 2021
Mobile technology's ubiquity has caused a shift in how students learn and how pedagogy can take place. Educators have the potential to engage students more fully in the modern educational environment, by making learning content and interactions accessible via mobile devices, both within and outside of the classroom. There is a need to leverage the…
Descriptors: Learner Engagement, Teaching Methods, Educational Environment, Handheld Devices
Shi, Yinghui; Zhang, Jingman; Yang, Huiyun; Yang, Harrison Hao – Interactive Learning Environments, 2021
The infusion and diffusion of the interactive whiteboard (IWB) has attracted considerable interest in educational contexts over the past years. However, research to date has been controversial with regard to the effectiveness of IWB-based instruction on cognitive learning outcomes. This study identified empirical publications that examine…
Descriptors: Visual Aids, Interaction, Teaching Methods, Educational Technology
Aljaraideh, Yousef – Journal of Technology and Science Education, 2019
This study examined the male and female students' perceptions of flipped learning system, taking four private universities in the Northern Province in Jordan as the sample of study. Flipped classroom, as an innovative strategy used in higher education, suits the demands of students at a university level, developing their critical thinking and…
Descriptors: Student Attitudes, Blended Learning, Private Colleges, Foreign Countries
Danial Hooshyar; Nour El Mawas; Yeongwook Yang – Knowledge Management & E-Learning, 2024
The use of learner modelling approaches is critical for providing adaptive support in educational computer games, with predictive learner modelling being among the key approaches. While adaptive supports have been shown to improve the effectiveness of educational games, improperly customized support can have negative effects on learning outcomes.…
Descriptors: Artificial Intelligence, Course Content, Tests, Scores

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