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Serena Lee-Cultura; Kshitij Sharma; Michail N. Giannakos – IEEE Transactions on Learning Technologies, 2024
Teacher dashboards provide insights on students' progress through visualizations and scores derived from data generated during teaching and learning activities (e.g., response times and task correctness) to improve teaching. Despite the potential usefulness of enhancing teacher dashboards, and the respective teaching practices, with rich…
Descriptors: Educational Technology, Learning Analytics, Technology Uses in Education, Student Evaluation
Loeffler, Jonna; Raab, Markus; Cañal-Bruland, Rouwen – Interactive Learning Environments, 2023
Embodied Cognition approaches suggest that movements influence the understanding of abstract concepts such as time. It follows that moving the arms as watch hands should boost children's learning to read the clock. In a school setting, we compared three learning conditions: an embodied (movement) condition, an interactive App condition, and a text…
Descriptors: Human Body, Cognitive Processes, Time, Arithmetic
Chou, Yin-Yu; Wu, Pei-Fen; Huang, Chun-Yen; Chang, Shan-Hsi; Huang, Hwa-Shan; Lin, Wei-Min; Lin, Man-Li – Asia-Pacific Education Researcher, 2022
This study explores whether learning approaches combining augmented reality and multidimensional concept maps (ARMCMs) would improve learning effectiveness, learning motivation, learning satisfaction, and cognitive load more than multidimensional concept maps (MCMs) and augmented reality (AR) learning do. The study employed a quasi-experimental…
Descriptors: Computer Simulation, Concept Mapping, Learning Motivation, Instructional Effectiveness
Zhengyuan Liu – Education and Information Technologies, 2024
This study investigates the differential impacts of various online language assessment models--specifically, the Nonlinear Dynamic Individual-Centered Language Assessment (NDICLA), diagnostic assessment, and formative assessment--on the cognitive load and learning outcomes of English as a Foreign Language (EFL) learners within computer-assisted…
Descriptors: Computer Assisted Testing, Student Evaluation, Models, Second Language Learning
Zheng, Hua; Jung, Eulho; Li, Tong; Yoon, Meehyun – Contemporary Educational Technology, 2022
This experimental study examined the effects of segmentation and self-explanation designs on cognitive load in instructional videos. Four types of instructional videos (segmentation, self-explanation, combined, and control) were created and tested by 121 undergraduate students randomly assigned to one of four research groups. The results of…
Descriptors: Video Technology, Educational Technology, Multimedia Materials, Multimedia Instruction
Hussein, Mahmood H.; Ow, Siew Hock; Al-Azawei, Ahmed; Ibrahim, Ishaq – Australasian Journal of Educational Technology, 2022
This study aims at proposing an integrated model based on the technology acceptance model, the information system success model, cognitive load theory, and personal characteristics to predict students' continued intention to reuse Google Classroom in the context of a developing country. To achieve this, we conducted quantitative research,…
Descriptors: Educational Technology, Learning Management Systems, Intention, Student Characteristics
Branko Andic; Mirjana Maricic; Filiz Mumcu; Theodosia Prodromou; Janika Leoste; Musa Saimon; Zsolt Lavicza – Smart Learning Environments, 2024
Educational Robotics (ER) has emerged as one of the tools to improve STEM learning in primary education if students are properly instructed. However, there is a lack of studies that guide teachers on which type of instruction should be used for ER in STEM between direct (DI) and indirect instruction (II). As a result, the present study aims to…
Descriptors: Direct Instruction, Educational Technology, Robotics, Task Analysis
Sergi, Katerina; Elder, Anastasia D.; Wei, Tianlan; Javorsky, Kristin; Xu, Jianzhong – Reading Horizons, 2022
The purpose of this study was to investigate metacognitive self-regulated learning (SRL) differences in computer- and paper-based reading assignments across elementary students. Students in two after-school programs in a southeastern U.S. public school district were recruited. The final sample consisted of 48 students in Grades 2--5 who…
Descriptors: Metacognition, Computer Assisted Instruction, Educational Technology, Printed Materials
Zumbach, Joerg; von Kotzebue, Lena; Pirklbauer, Constanze – Journal of Educational Computing Research, 2022
Augmented Reality (AR) has become an emerging educational technology in classroom practice and science education. While most research and contemporary meta-analyses reveal benefits with regard to knowledge acquisition and motivation of Augmented Reality-based learning environments, most of the studies lack a clear and fair control condition. In…
Descriptors: Computer Simulation, Educational Technology, Science Education, Educational Environment
Elizabeth Ayers – Journal of College Science Teaching, 2024
Cognitive processes such as learning and thinking are theorized to be an interaction between the mind, body, and environment in four ways: embodied, embedded, enacted, and extended. Collectively, these four types represent the four "E"s of cognition. The "Next Generation Science Standards" has called for curricular reform that…
Descriptors: Citizen Participation, Science Education, Environment, Handheld Devices
Zhonggen, Yu; Ying, Zhu; Zhichun, Yang; Wentao, Chen – Computer Assisted Language Learning, 2019
After working with a number of scholars for two years, a university designed a mobile learning platform referred to as 'College English IV,' where learners could have easy access to various kinds of learning resources through installing the program in their smart phones. This study aims to identify whether this platform could significantly improve…
Descriptors: Student Satisfaction, Cognitive Processes, Difficulty Level, Telecommunications
Cheung, Yin Ling – Asia-Pacific Education Researcher, 2016
Much research has been conducted to investigate the quality of writing and high-level revisions in word processing-assisted and pen-and-paper writing modes. Studies that address cognitive aspects, such as experience and comfort with computers, by which students compose essays during writing assessments have remained relatively unexplored. To fill…
Descriptors: Foreign Countries, Writing (Composition), Computer Uses in Education, Educational Technology
Kozan, Kadir – Online Learning, 2016
The present study investigated the relationships among teaching, cognitive, and social presence through several structural equation models to see which model would better fit the data. To this end, the present study employed and compared several different structural equation models because different models could fit the data equally well. Among…
Descriptors: Structural Equation Models, Correlation, Teaching (Occupation), Cognitive Processes
Chang, Jui-Hung; Chiu, Po-Sheng; Huang, Yueh-Min – International Review of Research in Open and Distributed Learning, 2018
With the advances in mobile network technology, the use of portable devices and mobile networks for learning is not limited by time and space. Such use, in combination with appropriate learning strategies, can achieve a better effect. Despite the effectiveness of mobile learning, students' learning direction, progress, and achievement may differ.…
Descriptors: Archives, Telecommunications, Handheld Devices, Educational Technology
Costley, Jamie; Lange, Christopher – International Review of Research in Open and Distributed Learning, 2018
Semi-formal learning is used to describe learning that is directed towards the goals of a formal learning institution but outside of the learning structure of a specific class. Students studying online may form semi-formal groups to increase their knowledge of the content by interacting with other learners taking the same class. This study of…
Descriptors: Online Courses, Educational Technology, Technology Uses in Education, College Students
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