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Hyun-Bin Hwang; Matthew D. Coss; Shawn Loewen; Kaitlyn M. Tagarelli – Studies in Second Language Acquisition, 2024
Research on mobile-assisted language learning (MALL) has revealed that high rates of attrition among users can undermine the potential benefits of this learning method. To explore this issue, we surveyed 3,670 adult MALL users based on the Unified Theory of Acceptance and Use of Technology (UTAUT) and also conducted an in-depth analysis of their…
Descriptors: Learner Engagement, Handheld Devices, Nontraditional Students, Adults
Josh Montgomery – International Society for Technology, Education, and Science, 2023
That social studies and, to a lesser degree science, have become something of orphans in K-6 instruction is an open secret. The system of schooling in the US has increasingly become objectives and standards based. As this edifice has grown, it has demanded more measurability and thus more accountability. That accountability, through testing, is…
Descriptors: Elementary Schools, Elementary School Teachers, Social Studies, Science Instruction
Alex Kourchev – AERA Online Paper Repository, 2024
This study explores different conceptualizations of creativity within an educational setting, using textual coding and network mapping on data from a creativity-focused course. Two primary conceptualizations emerged: the Freedom-Possession and Playful-Adaptation conceptualizations. Each was associated with unique practices and elements of the…
Descriptors: Creativity Tests, Creativity, Creative Thinking, Creative Activities
Müslüm Atas; Helmut Lindner; Thomas Strametz; Fatima Jammoul; Johannes Feiner; Antonius Metry Saad – International Association for Development of the Information Society, 2024
With the rapid growth of digital education, e-learning has become essential for offering accessible and flexible learning opportunities. This paper investigates strategies to achieve long-term learning outcomes and reduce study time in e-learning. It explores various techniques, including self-testing, spaced repetition, and the serial position…
Descriptors: Electronic Learning, Time on Task, Memory, Learning Strategies
Worthwhile Problems: How Teachers Evaluate the Instructional Suitability of Contextual Algebra Tasks
Cody L. Patterson; Mai Bui; Lino Guajardo; Carlos Acevedo; Brandi Rygaard Gaspard; Rebecca McGraw – North American Chapter of the International Group for the Psychology of Mathematics Education, 2023
We investigate the beliefs that influence middle and high school algebra teachers' appraisals of contextual problems having diverse mathematical and pedagogical features. We asked six teachers to analyze six contextual algebra tasks and indicate how they would apportion instructional time among the six tasks based on their structure, pedagogical…
Descriptors: Mathematics Teachers, Middle School Teachers, High School Teachers, Teacher Attitudes
Hilton, Gillian L. S. – Bulgarian Comparative Education Society, 2020
This paper examines the recent noticeable rise in parents and carers in England, deciding to home school their children. This rise has been attributed to schools advising parents with 'difficult' children, those with special educational needs or behavioural problems, that they have a choice; home educate or their child will be permanently…
Descriptors: Home Schooling, Foreign Countries, Educational Policy, Educational Change
David Lang; Guanling Chen; Kathy Mirzaei; Andreas Paepcke – Grantee Submission, 2020
We explore the relationship between video playback speed and student learning outcomes. Using an experimental design, we present the results of a pre-registered study that assigns users to watch videos at either 1.0x or 1.25x speed. We find that students who consume sped content are more likely to get better grades in a course, attempt more…
Descriptors: Video Technology, Time on Task, Time Factors (Learning), Educational Technology
Doyer, Ilse; Bean, Wilna L.; du Plessis, André – Bulgarian Comparative Education Society, 2023
This paper presents the use of the time-on-task analysis (TOTA) diagnostic model as an instrument to improve the efficient management of allocated academic time in schools and focuses on the descriptive analytics produced by the TOTA model. The model aims to analyse how time is spent during the school day to enable school leaders, managers, and…
Descriptors: Time on Task, Teaching Methods, Learning Processes, Time Management
Zhang, Mo; Guo, Hongwen; Liu, Xiang – International Educational Data Mining Society, 2021
We present an empirical study on the use of keystroke analytics to capture and understand how writers manage their time and make inferences on how they allocate their cognitive resources during essay writing. The results suggest three distinct longitudinal patterns of writing process that describe how writers approach an essay task in a writing…
Descriptors: Keyboarding (Data Entry), Learning Analytics, Data Collection, Cognitive Processes
Aziman Abdullah – International Society for Technology, Education, and Science, 2023
This study explores the potential of using screen time data in learning management systems (LMS) to estimate student learning time (SLT) and validate the credit value of courses. Gathering comprehensive data on actual student learning time is difficult, so this study uses LMS Moodle logs from a computer programming course with 490 students over 16…
Descriptors: Time Factors (Learning), Handheld Devices, Computer Use, Television Viewing
Katarzyna Gajda – International Association for Development of the Information Society, 2024
The integration of mobile technology in language education represents notable progress, providing a versatile tool for learners of different ages to acquire a language. The poster will focus on research evaluating the efficacy of the Duolingo mobile app in augmenting Russian language proficiency for A1 and B1 level students at the University of…
Descriptors: Second Language Instruction, Second Language Learning, Computer Software, Computer Assisted Instruction
Combined Measures of Students' Success: Recent Trends and Developments in Science Education Research
Rodic, Dušica D. – International Baltic Symposium on Science and Technology Education, 2019
Besides measures of students' performances, a valid assessment of students' efficiency in a teaching process should also include measures of invested mental effort. The research presented herein covers several approaches in measuring students' mental effort including 5, 7 and 9-point Likert type scales, time on task, as well as eye tracking…
Descriptors: Science Education, Student Evaluation, Student Behavior, Eye Movements
Devine, Kevin; Chang, Yi-hsiang Isaac; Klitzing, Gunnar – Engineering Design Graphics Journal, 2019
Recent developments in Virtual Reality (VR) technology has prompted the manufacturing industry and software vendors to investigate VR's potential for process enhancement. In this paper, we present a study to investigate whether using VR could reduce an individual's cognitive workload during the process of programming an industrial robot. The…
Descriptors: Computer Simulation, Cognitive Processes, Difficulty Level, Programming
Chiaráin, Neasa Ní – Research-publishing.net, 2022
"An Corpas Cliste" ('Clever Corpus') is an Irish language learner corpus. The corpus data comes from a purpose-built intelligent Computer Assisted Language Learning (iCALL) platform called "An Scéalaí" ('the Storyteller') and comprises both audio and text, produced by second and third level learners of Irish. Metadata (e.g. L1,…
Descriptors: Computational Linguistics, Irish, Computer Assisted Instruction, Second Language Learning
Juškaite, Loreta – International Baltic Symposium on Science and Technology Education, 2019
The new research results on the online- testing method in the Latvian education system for a learning process assessment are presented. Data mining is a very important field in education because it helps to analyse the data gathered in various researches and to implement the changes in the education system according to the learning methods of…
Descriptors: Foreign Countries, Information Retrieval, Data Analysis, Data Use