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No Child Left Behind Act 20011
Showing 1 to 15 of 249 results Save | Export
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Lange, Christopher – Open Learning, 2023
Cognitive processing issues online may be reduced through e-learning personalisation, which allows learners to address individual learning needs by controlling how they process information. While some research shows that e-learning personalisation may actually complicate information processing under specific circumstances, this study examines…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
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Mary Katherine Watson; Elise M. Barrella; Kevin Skenes – Journal of Civil Engineering Education, 2024
At the onset of the COVID-19 pandemic, The Citadel transitioned from a face-to-face to an emergency online modality. We conducted a study to track changes in self-directed learning readiness (SDLR) among engineering students during the Spring 2020 semester, including trends based on demographic, performance, and cognitive load factors. SDLR was…
Descriptors: Independent Study, Undergraduate Students, Engineering Education, COVID-19
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Hung-Tao M. Chen; Katelyn L. McClure; Thomas W. Morris – Technology, Knowledge and Learning, 2024
Picture-in-Picture (PIP) is an effective lecture video design that includes a screen capture video in the center and the instructor's talking head in one corner. Few research studies have directly investigated the usage of PIP lecture design by non-native English-speaking (NNES) instructors. The current study investigated the effects of PIP…
Descriptors: Undergraduate Students, Electronic Learning, Video Technology, Native Speakers
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Liu, Lingyan; Zhao, Bo; Rao, Yiqiang – International Journal of Information and Communication Technology Education, 2022
A lot of studies have shown that there is an "inverse U-curve" relationship between learners' grades and cognitive load. Learners' grades are closely related to their learning behavior characteristics on online learning. Is there any relationship between online learners' behavior characteristics and cognitive load? Based on this, the…
Descriptors: Cognitive Processes, Difficulty Level, Learning Analytics, Electronic Learning
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Qingchuan Li; Yan Luximon; Jiaxin Zhang; Yao Song – British Journal of Educational Technology, 2024
Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…
Descriptors: Cognitive Processes, Difficulty Level, Electronic Learning, Handwriting
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Ahmed Hosny Saleh Metwally; Ronghuai Huang; Paula Toledo Palomino; Ahmed Mohamed Fahmy Yousef – Education and Information Technologies, 2024
Gamifying online homework activities and learning assignments is an effective approach to facilitate students' engagement and enjoyment. While incorporating game elements to gamify homework and learning assignments promoted positive psychological and learning outcomes, the mere use of these elements brings several flaws associated with the gameful…
Descriptors: Gamification, Homework, Instructional Effectiveness, Motivation
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Gonzalo Martinez-Munoz; Miguel Angel Alvarez-Rodriguez; Estrella Pulido-Canabate – IEEE Transactions on Education, 2024
In this article, student video visualization profiles are analyzed with two objectives: 1) to identify difficult sections in videos and 2) to predict student performance based on their video visualization profiles. For identifying critical sections in videos two novel indicators are proposed. The first one is designed to measure the complexity of…
Descriptors: Video Technology, Visualization, Electronic Learning, Profiles
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Kienitz, Anna; Krebs, Marie-Christin; Eitel, Alexander – Instructional Science: An International Journal of the Learning Sciences, 2023
Previous research often revealed detrimental effects of seductive details on learning with multimedia instruction, but there are mixed findings regarding how to best explain these detrimental effects. We investigated whether the detrimental effects of seductive details are mainly mediated by the cognitive processes of diversion (deeper processing…
Descriptors: Multimedia Instruction, Cognitive Processes, Difficulty Level, Relevance (Education)
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Costley, Jamie; Lange, Christopher – Interactive Learning Environments, 2023
The use of e-learning personalization allows learners to control their learning by choosing which content to process and how to process it. In order to explain the processes that occur when students use e-learning personalization, this study looks at how it interacts with two other variables: sequencing and fading, a scaffolding technique where…
Descriptors: Electronic Learning, Individualized Instruction, Cognitive Processes, Difficulty Level
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Tim Kühl; Felicia Teske; Martin Merkt; Christina Sondermann – Educational Technology Research and Development, 2025
The empirical evidence concerning the question whether an instructor should be presented on online lecture slides is equivocal and two lines of theoretical reasoning exist. On the one hand, the instructor may distract from the content, thereby hampering learning; on the other hand, the instructor may function as a social cue that triggers a more…
Descriptors: Lecture Method, Visual Aids, Online Courses, Attention Control
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Leisi Pei; Morris Siu-Yung Jong; Junjie Shang; Guang Ouyang – British Journal of Educational Technology, 2025
Cognitive load is a critical internal state associated with learners' learning process and significantly influences learning outcomes. With the worldwide popularity of video-based learning (VBL), tracking real-time cognitive load variations becomes more and more important for the timely provision of adaptive learning support during the learning…
Descriptors: Diagnostic Tests, Brain, Cognitive Processes, Difficulty Level
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Skulmowski, Alexander – Education and Information Technologies, 2022
Digital learning increasingly makes use of realistic visualizations, although realism can be demanding for learners. Color coding is a popular way of helping learners understand visualizations and has been found to aid in learning with detailed visualizations. However, previous research has shown that color coding must not always be an effective…
Descriptors: Color, Coding, Visualization, Electronic Learning
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Moon, Hyunchang; Cheon, Jongphil; Kwon, Kyungbin – International Journal of Computer Science Education in Schools, 2022
To help novice learners overcome the obstacles of learning computational thinking (CT) through programming, it is vital to identify difficult CT components. This study aimed to determine the computational concepts and practices that learners may have difficulties acquiring and discuss how programming instructions should be designed to facilitate…
Descriptors: Difficulty Level, Computation, Thinking Skills, Programming
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Lanqin Zheng; Yunchao Fan; Zichen Huang; Lei Gao – Journal of Computer Assisted Learning, 2024
Background: Online collaborative learning has been widely adopted in the field of education. However, learners often find it difficult to engage in collaboratively building knowledge and jointly regulating online collaborative learning. Objectives: The study compared the impacts of the three learning approaches on collaborative knowledge building,…
Descriptors: Cooperative Learning, Electronic Learning, College Students, Learning Strategies
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Gary Yu Zhao; Cindy Zhiling Tu; Joni Adkins – Information Systems Education Journal, 2024
E-learning has become an emerging approach to delivering knowledge and information to students. It presents significant challenges to sharing and understanding learners' knowledge, inquiries, interest, and needs. Educational organizations are expected to apply the appropriate practice to address knowledge-sharing challenges in the e-learning…
Descriptors: Literature Reviews, Electronic Learning, Difficulty Level, Knowledge Level
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