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Ambroise Baillifard; Maxime Gabella; Pamela Banta Lavenex; Corinna S. Martarelli – Education and Information Technologies, 2025
Effective learning strategies based on principles like personalization, retrieval practice, and spaced repetition are often challenging to implement due to practical constraints. Here we explore the integration of AI tutors to complement learning programs in accordance with learning sciences. A semester-long study was conducted at UniDistance…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Instructional Effectiveness, Learning Strategies
Danial Hooshyar – Education and Information Technologies, 2024
Neural and symbolic architectures are key techniques in AI for learner modelling, enhancing adaptive educational services. Symbolic models offer explanation and reasoning for decisions but require significant human effort. On the other hand, neural architectures demand less human input and yield better predictions, yet lack interpretability. Given…
Descriptors: Artificial Intelligence, Modeling (Psychology), Learner Engagement, Achievement
Jack Reed – Journal of Experiential Education, 2024
Background: The use or non-use of mobile technologies and social media in residential outdoor adventurous education (OAE) remains contested and generates an often-cited for-and-against argument in both theory and practice. Purpose: This qualitative study explored instructor perceptions of mobile technologies and social media in their practice as…
Descriptors: Foreign Countries, Teacher Attitudes, Handheld Devices, Computer Oriented Programs
Lockias Chitanana – Education and Information Technologies, 2024
This study investigated how lecturers and university students used WhatsApp as an academic tool. The study employed an ANT methodological and analytical framework to investigate WhatsApp as an academic tool in a university set-up in post COVID-19 era. Participants were selected from one state university. The snowball purposive sampling approach…
Descriptors: Educational Technology, Technology Uses in Education, Computer Oriented Programs, College Faculty
Lu Yin; Ruosi Guo – European Journal of Education, 2025
This quasi-experimental study aims to investigate the effectiveness of artificial intelligence (AIVA app) within an interactive music-learning environment. The ANCOVA was used to compare the performance of students using Artificial Intelligence Virtual Artist (AIVA) and those studying with traditional lecture-based instructions. Students in the…
Descriptors: Artificial Intelligence, Music Education, Foreign Countries, Cultural Capital
Amy Brown – Journal of General Music Education, 2024
Pre-pandemic, technology integration into music lessons was helpful but not a necessity for effectively teaching elementary music. Those who believed technology integration was important for student engagement, as well as those comfortable with their technological skills, were experimenting with tools on an interactive board or through a website…
Descriptors: Music Education, Technology Integration, Technology Uses in Education, Learner Engagement
Kaden Hart; Christopher M. Warren; Seth Poulsen; John Edwards – International Educational Data Mining Society, 2024
We report on a study in which we examined the work habits of six students who agreed to use do not disturb on their phone while working on programming assignments. Two students tried do not disturb, and quickly quit using it. Three out of four remaining student participants were more productive while using do not disturb when working on their…
Descriptors: Telecommunications, Handheld Devices, Computer Use, Student Behavior
Saira Anwar; Ahmed Ashraf Butt; Muhsin Menekse – International Journal of STEM Education, 2025
Background: Technology-enhanced classrooms now integrate a range of educational apps designed to improve student outcomes. The effectiveness of these applications is influenced by multiple factors related to the courses and the applications themselves. A critical factor is student engagement, which involves interacting with the course content…
Descriptors: Natural Language Processing, Handheld Devices, Computer Oriented Programs, Learner Engagement
Polinsky, Naomi J. – ProQuest LLC, 2023
Over the past decade the market for children's digital play activities focused on science, technology, engineering, and mathematics (STEM) has grown exponentially. One benefit to the growth in digital STEM play is that it can provide children opportunities to engage the cognitive skills and practices that can be valuable for formal STEM learning.…
Descriptors: Play, STEM Education, Educational Technology, Cognitive Ability
Heba Abou-El-Sood – Accounting Education, 2025
The surge in technology adoption has transformed students into 'digital natives' who require innovative teaching methods to enhance their engagement and learning. This paper investigates the impact of integrating QuickBooks®, an accounting mobile app, on students' learning, engagement, and interest in the course. It utilizes a survey questionnaire…
Descriptors: Accounting, Educational Technology, Technology Uses in Education, Telecommunications
Banban Li; Wenhan Shen; Yue Ding; Miroslaw Pawlak; Mariusz Kruk – Language Teaching Research Quarterly, 2025
Mobile apps have surged in popularity, enhancing the effectiveness of more traditional second or foreign language (L2) teaching and enabling independent L2 learning. Drawing on control-value theory, the present research examined the role of students' control-value appraisals in enhancing behavioral engagement via enjoyment and boredom in specific…
Descriptors: Foreign Countries, Handheld Devices, Computer Oriented Programs, Electronic Learning
Odd Rune Stalheim; Hege Merete Somby – Smart Learning Environments, 2024
There has long been an increased focus on and investment in digital technology in schools to improve the quality of education. While digital tools have gained access to pedagogical spheres, physical activity has been overlooked, as pupils often engage in activities that require minimal bodily movement. In this article, we discuss pupils'…
Descriptors: Simulated Environment, Physical Environment, Educational Games, Human Body
Sisso, Danielle; Bass, Nicole; Williams, Immanuel – Teaching Statistics: An International Journal for Teachers, 2023
This paper provides introductory statistics instructors with the capacity to use engaging National Basketball Association (NBA) data within a web application to either strengthen students' understanding or introduce the concept of variance and one-way analysis of variance. Using engaging data within the classroom provides context to data that…
Descriptors: Statistics Education, Teaching Methods, Statistical Analysis, Introductory Courses
Xue Yang – Education and Information Technologies, 2024
Mobile devices have increased exponentially in the past decades and the rapid development of digital technology has provided rich soil for the growth of mobile learning (m-learning), which is a more convenient means of learning because of no limitations of space and time. Applying the stimulus-organism-response (S-O-R) framework, this study…
Descriptors: Electronic Learning, Learning Processes, Stimuli, Attention Span
Victor K. Y. Chan – International Association for Development of the Information Society, 2024
This article seeks to explore the convergent validity of (and thus the consistency between) a few popular generative artificial intelligence (AI) robots in evaluating popular mobile learning apps' usability. The three robots adopted in the study were Microsoft Copilot, Google PaLM, and Meta Llama, which were individually instructed to accord…
Descriptors: Computer Oriented Programs, Handheld Devices, Telecommunications, Usability

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