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Jean Philippe Décieux – Sociological Methods & Research, 2024
The risk of multitasking is high in online surveys. However, knowledge on the effects of multitasking on answer quality is sparse and based on suboptimal approaches. Research reports inconclusive results concerning the consequences of multitasking on task performance. However, studies suggest that especially sequential-multitasking activities are…
Descriptors: Online Surveys, Time Management, Handheld Devices, Learning Activities
Alex Greenwood; Rose Mary Zbiek; Amy Brass – Mathematics Teacher: Learning and Teaching PK-12, 2024
The Cell Phone modeling task centers on a Fermi real-world estimation question. The task and rubric can be used at different grade levels to focus on the modeling process and classroom community. Finding time and space to engage students, especially novice modelers, in mathematical modeling can be a challenge, yet the benefits of modeling are…
Descriptors: Mathematical Models, Teaching Methods, Mathematics Instruction, Telecommunications
Schrader, Claudia; Kalyuga, Slava – British Journal of Educational Psychology, 2023
The study investigated interactions between learner expertise and task complexity evaluated from both cognitive and affective perspectives. One hundred and seventy-three students, both novices and advanced learners, were asked to learn Japanese writing in a pen-tablet-based digital learning environment with varying task complexity levels.…
Descriptors: Expertise, Novices, Task Analysis, Difficulty Level
DiCarlo, Cynthia F.; Deris, Aaron R.; Deris, Thomas P. – Journal of Behavioral Education, 2023
The purpose of this study was to investigate the impact of mLearning or mobile device practice on the attention and accuracy of student's use of math concepts, specifically, telling time. A single subject, alternating treatment design was used to compare mLearning to paper and pencil practice in four 3rd grade male students. Results were mixed;…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Handheld Devices, Attention
Hashem A. Almusawi; Christopher M. Durugbo – Education and Information Technologies, 2024
Digital technologies promote active, interactive, collaborative, and immersive learning but the challenge of how to prepare teachers effectively for digital technology utilisation in the instructional process remains a pertinent problem for education institutions. Guided by task-technology fit theory, this research delves into technology use by…
Descriptors: Career Readiness, Digital Literacy, Technology Uses in Education, Goodness of Fit
Jiarui Hou; James F. Lee; Stephen Doherty – Journal of Computer Assisted Learning, 2025
Background: Recent research has demonstrated the potential of mobile-assisted learning to enhance learners' learning outcomes. In contrast, the learning processes in this regard are much less explored using eye tracking technology. Objective: This systematic review study aims to synthesise the relevant work to reflect the current state of eye…
Descriptors: State of the Art Reviews, Eye Movements, Electronic Learning, Handheld Devices
Jyoti, Vishav; Lahiri, Uttama – IEEE Transactions on Learning Technologies, 2022
Children with autism are characterized by milestones in joint attention (JA) skill. They fail to understand the directional cue issued by a partner (during social communication), which often results in them reciprocating inappropriately and not completing the JA bid successfully. The directional cues can be gaze-pointing, finger-pointing, etc.,…
Descriptors: Attention Control, Autism, Pervasive Developmental Disorders, Children
Christina Hubertina Helena Maria Heemskerk; Claudia M. Roebers – Journal of Cognition and Development, 2024
Young children tend to rely on reactive cognitive control (e.g. strongly slow down after an error), even when task accuracy would benefit from proactive cognitive control (taking a slower task approach up front). We investigated if giving young primary school children opportunities to repeatedly experience tasks where success rates depend on…
Descriptors: Cognitive Ability, Reaction Time, Accuracy, Feedback (Response)
Wang, Cixiao; Xu, Lingling; Liu, Hui – Journal of Computer Assisted Learning, 2022
Background: Virtual manipulatives (VMs) are increasingly adopted in inquiry activities. However, the effects of the ratio of mobile device-based VMs to students and external scripts (a guiding structure for prompting group process) provision on group interaction has not been detailed. Objectives: This study proposed four different technology…
Descriptors: Manipulative Materials, Educational Technology, Handheld Devices, Cooperative Learning
Elizabeth R. Lorah; Christine Holyfield; Brenna Griffen; Nicolette Caldwell – Review Journal of Autism and Developmental Disorders, 2024
For individuals with autism spectrum disorder (ASD) who have limited to no vocal speech abilities, mobile augmentative and alternative communication (AAC) technology provides opportunities for communication with those around them. Interventionists can incorporate evidence-based practices into AAC instruction to heighten the efficacy of its…
Descriptors: Autism Spectrum Disorders, Evidence Based Practice, Intervention, Augmentative and Alternative Communication
de Oliveira, Maria Luiza Cruz; de Nogueira Holanda, Francisco Wilson; Valdez, Pablo; de Almondes, Katie Moraes; de Azevedo, Carolina Virgínia Macedo – Mind, Brain, and Education, 2020
Excessive usage of electronic devices delays bedtime and increases nighttime arousal, reducing sleep duration of adolescents in the morning shift. The impacts of media use before bedtime (MBB) on sleep patterns and components of morning attention were evaluated in 89 adolescents (15.8 ± 0.8 years) using sleep questionnaires and a continuous…
Descriptors: Attention Control, Telecommunications, Handheld Devices, Sleep
Randall, Kristina N.; Johnson, Friggita; Adams, Simone E.; Kiss, Christopher W.; Ryan, Joseph B. – Journal of Special Education Technology, 2020
Individuals with intellectual disabilities (ID) often experience a combination of both intellectual and adaptive functioning deficits that impact conceptual, social, and practical domains. These deficits can negatively impact an individual's ability to achieve independence and sustained employment. Fortunately, research has shown assistive…
Descriptors: Telecommunications, Handheld Devices, Assistive Technology, Job Skills
Wen-Min Hsieh; Hui-Chin Yeh; Nian-Shing Chen – Computer Assisted Language Learning, 2025
Research on how the use of social robots helps improve English as Foreign Language (EFL) young learners' pronunciation and willingness to communicate (WTC) is understudied. This study developed a robot and tangible objects (R&T) learning system and examined its impact on elementary EFL learner's English pronunciation and WTC. The R&T…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Task Analysis
Hsu, Hui-Tzu; Lin, Chih-Cheng – Educational Technology & Society, 2022
Mobile technology is regarded as a helpful tool facilitating language learning. However, the success of mobile technology largely depends on learners' acceptance. This study explored the factors that may affect students' intention formation regarding mobile-assisted language learning (MALL) in the context of higher education through the lens of…
Descriptors: Computer Assisted Instruction, Telecommunications, Handheld Devices, Teaching Styles
Bonin, Patrick; Méot, Alain; Laroche, Betty; Bugaiska, Aurélia; Perret, Cyril – Reading and Writing: An Interdisciplinary Journal, 2019
The present study was aimed at investigating whether and how image characteristics influence written naming performance in adults. In three different sessions, participants had to quickly write down the names of pictured objects on a graphic tablet. Across sessions, the picture format was different, but the to-be-named objects were the same: There…
Descriptors: Naming, Writing (Composition), Adults, Handheld Devices