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King, Jill; Markant, Julie – Developmental Science, 2022
Attending to distracting or competing information is typically considered detrimental to learning, but the presence of competing information can also facilitate learning when it is relevant to ongoing task goals. Educational settings often contain contextual elements such as classroom decorations or visual aids to enhance student learning. Despite…
Descriptors: Preschool Children, Visual Aids, Attention, Eye Movements
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Xiaoxue Leng; Fuxing Wang; Richard E. Mayer; Tingting Zhao – British Journal of Educational Technology, 2024
This study investigated the effectiveness of visual training or verbal training on how to use a text-picture processing strategy for learning from computer-based multimedia instructional material. Sixty-nine university students were randomly assigned to the verbal training group (students received text-based instruction for a text-picture…
Descriptors: Multimedia Instruction, Multimedia Materials, College Students, Pictorial Stimuli
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Huangfu, Qian; Li, Hong; Tang, Sanshan; Wang, Jianrong; Liu, Qian; Chen, Guojun – Chemistry Education Research and Practice, 2022
Although the chemical literature contains many studies of multimedia-based learning and teacher enthusiasm, there is a paucity of research on whether and to what extent teacher enthusiasm in video lectures affects students' learning, especially in chemistry. In this context, this mixed-method study used eye tracking and quantitative analysis to…
Descriptors: Teacher Attitudes, Chemistry, Science Instruction, Middle School Students
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Garcia Moreno-Esteva, Enrique; Kervinen, Anttoni; Hannula, Markku S.; Uitto, Anna – Education Sciences, 2020
In this article we discuss, as a proof of concept, how a network model can be used to analyse gaze tracking data coming from a preliminary experiment carried out in a biodiversity education research project. We discuss the network model, a simple directed graph, used to represent the gaze tracking data in a way that is meaningful for the study of…
Descriptors: Biology, Science Instruction, Biodiversity, Networks
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Maltese, Adam V.; Danish, Joshua A.; Bouldin, Ryan M.; Harsh, Joseph A.; Bryan, Branden – International Journal of Research & Method in Education, 2016
Engaging students in class is paramount if they are to gain a deep understanding of class content. Student engagement is manifested by attention to the various components of instruction. However, there is little research at the tertiary level focusing on what aspects of instruction are related to changes in student attention during class. To…
Descriptors: Lecture Method, Science Instruction, Learner Engagement, Attention
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Maltese, Adam V.; Balliet, Russell N.; Riggs, Eric M. – Journal of Geoscience Education, 2013
The focus of this research was to investigate how students learn to do fieldwork through observation. This study addressed the following questions: (1) Can mobile eye-tracking devices provide a robust source of data to investigate the observations and workflow of novice students while participating in a field exercise? If so, what are the…
Descriptors: Eye Movements, Geology, Video Technology, Observation
Zu, Tianlong – ProQuest LLC, 2017
Cognitive load theory (CLT) (Sweller 1988, 1998, 2010) provides us a guiding framework for designing instructional materials. CLT differentiates three subtypes of cognitive load: intrinsic, extraneous, and germane cognitive load. The three cognitive loads are theorized based on the number of simultaneously processed elements in working memory.…
Descriptors: Physics, Science Instruction, Learning Theories, Experiments
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Scrimin, Sara; Mason, Lucia – British Journal of Educational Psychology, 2015
Background: Previous research has indicated that mood influences cognitive processes. However, there is scarce data regarding the link between everyday emotional states and readers' text processing and comprehension. Aim: We aim to extend current research on the effects of mood induction on science text processing and comprehension, using…
Descriptors: Psychological Patterns, Cognitive Processes, Reading Comprehension, Science Instruction
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection