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Miller, Dan J.; Noble, Prisca; Medlen, Sue; Jones, Karina; Munns, Suzanne L. – Journal of Experimental Education, 2023
The cognitive load imposed by instruction is an important consideration for instructional designers. Theoretical models have traditionally divided total cognitive load into intrinsic, extrinsic, and germane load. The 10-item Cognitive Load Inventory (CLI-10) is designed to measure these three types of cognitive load. It is typically administered…
Descriptors: Psychometrics, Cognitive Processes, Difficulty Level, Factor Analysis
Abdulrahman Alhayyan – ProQuest LLC, 2023
Teachers' questioning is a key practice that influences student learning, yet not all teachers' questioning is equally effective, and fine-grained analyses uncovering the details of teachers' questioning are scarce. My study investigated the types of questions asked by three in-service elementary school math teachers, the associated levels of…
Descriptors: Teaching Methods, Questioning Techniques, Elementary School Teachers, Mathematics Teachers
Anna Bloodworth; AnnaMarie Conner; Claire Miller; Lorraine Franco; Timothy Foutz; Roger B. Hill – Journal of Technology Education, 2023
Drawing on research in mathematics and science education that has supported student higher-level thinking in K-12 classrooms, we sought to classify the ways of thinking and reasoning supported by robotics coding tasks. As part of a larger project, we examined coding tasks implemented in elementary school classrooms and analyzed ways of thinking…
Descriptors: Elementary Education, Robotics, Coding, Logical Thinking
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
Xu Chen; Di Wu – IEEE Transactions on Learning Technologies, 2024
Generative artificial intelligence (AI) is widely recognized as one of the most influential technologies for the future, having sparked a paradigm shift in scientific research. The field of education has also been greatly impacted by this transformative technology, with researchers exploring the applications of generative AI, particularly ChatGPT,…
Descriptors: Automation, Multimedia Materials, Instructional Materials, Artificial Intelligence
Yun Zhou; Fanqi Yi; Bingyu Dong; Guangli Zhang; Yi Zhang; Tao Xu – Education and Information Technologies, 2024
The growing importance of 3D animations in current teaching approaches becomes increasingly apparent, offering an effective way to visualize complex spatial concepts and processes in geography learning through outstanding visual representation and details. However, the effects of detail richness and text load of 3D animation on learning about…
Descriptors: Visual Aids, Metacognition, Animation, Concept Mapping
Leslie Michelle Bahena Olivares; Ramin Rostampour; Allyson F. Hadwin – Metacognition and Learning, 2024
Task understanding is theorized as a critical aspect of effective learning, but its role in self-regulated learning and overall academic performance has been understudied. Research to date indicates that students with adequate task understanding perform well. However, these studies have not demonstrated what practices are needed for developing…
Descriptors: Task Analysis, Individualized Instruction, Performance, Difficulty Level
Felicia Meusel; Nadine Scheller; Günter Daniel Rey; Sascha Schneider – Education and Information Technologies, 2024
Color has been investigated as a signaling cue in multimedia learning environments, guiding the learner's attention and as an emotional design element, increasing the learner's motivation and, thus, improving learning outcomes. Retrieval cues (e.g., visual cues, odor, sound) facilitating memory retrieval have been primarily investigated in…
Descriptors: Foreign Countries, Color, Student Motivation, Cues
Yusuke Uegatani; Hiroki Otani; Shintaro Shirakawa; Ryo Ito – Mathematics Education Research Journal, 2024
Due to the learning paradox, students cannot have real difficulty in understanding a mathematical concept that they have not yet understood. There is a gap between real difficulties, directly experienced by students, and illusionary ones, only observed by researchers. This paper aims to offer a critical reflection on our understanding of the term…
Descriptors: Mathematics Education, Concept Formation, Mathematical Concepts, Difficulty Level
Yunjo An; Regina Kaplan-Rakowski – TechTrends: Linking Research and Practice to Improve Learning, 2024
Most research on virtual reality (VR) for learning has focused on young populations in formal learning contexts. Little research has been conducted on how adults engage in informal learning using VR. This study examined adults' informal learning experiences in high-immersion VR, focusing on the aspects of VR they enjoyed and the challenges they…
Descriptors: Informal Education, Computer Simulation, Experiential Learning, Adults
Anita Marie Knox – ProQuest LLC, 2024
This quantitative study examined the effects of stored color knowledge on learning achievement and cognitive load using a randomized pretest-posttest control group design. Social media was used to recruit 60 adult participants, randomized into control and experimental groups. A multimedia lesson was presented where the control group viewed images…
Descriptors: Color, Cognitive Processes, Difficulty Level, Knowledge Level
Michael J. Kennedy; John Elwood Romig – TEACHING Exceptional Children, 2024
There are numerous reasons why students with disabilities struggle in school. A key reason is professionals in the field may not pay enough attention to students' overwhelmed cognitive capacity. Cognitive load theory explains that all humans have limited capacity at any given time to use their auditory, visual, and tactile inputs (independently or…
Descriptors: Cognitive Processes, Difficulty Level, Learning Theories, Students with Disabilities
Ünal Çakiroglu; Seval Bilgi – Interactive Learning Environments, 2024
The aim of this explanatory study is to identify the causes of intrinsic cognitive load in programming process. For this purpose, a method based on two dimensions; programming knowledge types (syntactic, semantic, and strategic) and programming constructs was proposed. The proposed method was tested with high school students enrolled in Computer…
Descriptors: Cognitive Processes, Difficulty Level, Programming, Interaction
Julia A. Simms – Solution Tree, 2024
With many distractions competing for students' attention, student engagement and knowledge retention are more important than ever. "Where Learning Happens" explores the types of attention--sustained, selective, divided, and effective--in depth and provides research-suggested strategies to maximize student attention and engagement. By…
Descriptors: Short Term Memory, Attention, Learner Engagement, Elementary Secondary Education
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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