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Major, Amanda; Calandrino, Tina – Distance Learning, 2018
Adult learners acquire information in a method that comes naturally: self-directed, in that they seek information as problems present themselves, connected to a vast amount of information and various social networks, and in a timely manner. Timely, in regards to when they need the information, when they have a moment to pay attention, and within…
Descriptors: Teaching Methods, Cognitive Processes, Difficulty Level, College Students
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Wang, Qian; Ding, Yi; Yu, Qiong – Journal of Engineering Education, 2018
Background: The overarching goal of this study was to explore the underlying mechanism of solving statics or structural analysis problems by utilizing cognitive load theory to examine task characteristics (i.e., the characteristics of instructional materials) with a focus on working memory load (WML) and automaticity. Purpose/Hypothesis: According…
Descriptors: Short Term Memory, Cognitive Processes, Difficulty Level, Computation
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Zeyer, Albert – Journal of Research in Science Teaching, 2018
The present study is based on a large cross-cultural study, which showed that a systemizing cognition type has a high impact on motivation to learn science, while the impact of gender is only indirect thorough systemizing. The present study uses the same structural equation model as in the cross-cultural study and separately tests it for physics,…
Descriptors: Learning Motivation, Gender Differences, Difficulty Level, Physics
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Blissett, Sarah; Sibbald, Matthew; Kok, Ellen; van Merrienboer, Jeroen – Advances in Health Sciences Education, 2018
Accurate self-regulation of performance is important for trainees. Trainees rely on cues to make monitoring judgments to self-regulate their performance. Ideally, cues and monitoring judgements accurately reflect performance, as measured by cue diagnosticity (the ability of a cue to predict performance) and monitoring accuracy (the ability of a…
Descriptors: Self Control, Cues, Accuracy, Cognitive Processes
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Korbach, Andreas; Brünken, Roland; Park, Babette – Educational Psychology Review, 2018
Recent studies about learning and instruction use cognitive load measurement to pay attention to the human cognitive resources and to the consumption of these resources during the learning process. In order to validate different measures of cognitive load for different cognitive load factors, the present study compares three different methods of…
Descriptors: Cognitive Processes, Difficulty Level, Comparative Analysis, Cognitive Measurement
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Samsul Hadi; Heri Retnawati; Sudji Munadi; Ezi Apino; Nidya F. Wulandari – Problems of Education in the 21st Century, 2018
International surveys, such as TIMSS and PISA, frequently put Indonesia in the low ranks. It is an indication that the higher-order thinking skills (HOTS) of students in Indonesia are still low. This research aims to analyze students' difficulties in solving problems that measure HOTS. This is a case study research with a qualitative approach.…
Descriptors: High School Students, Problem Solving, Foreign Countries, Thinking Skills
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de Morais, Felipe; Jaques, Patricia A. – Informatics in Education, 2022
Intelligent Tutoring Systems (ITSs) for Math still use traditional data input methods: computers' keyboard and mouse. However, students usually solve math tasks using paper and pen. Therefore, the gap between the manner the students work and the requirements imposed by these typing-based systems expose students to an extraneous cognitive load,…
Descriptors: Intelligent Tutoring Systems, Mathematics Instruction, Educational Technology, Technology Uses in Education
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Aminger, Walter; Hough, Sarah; Roberts, Sarah A.; Meier, Valerie; Spina, Alexis D.; Pajela, Hani; McLean, Mandy; Bianchini, Julie A. – Journal of Science Teacher Education, 2021
We investigated six preservice secondary science teachers' implementation of reform-based science, in particular, their teaching of the "Next Generation Science Standards' (NGSS)" science and engineering practice of "using mathematics and computational thinking." A modified version of the Task Analysis Guide in Science served…
Descriptors: Preservice Teachers, Secondary School Teachers, Science Teachers, Science Instruction
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Hedlefs-Aguilar, Maria Isolde; Morales-Martinez, Guadalupe Elizabeth; Villarreal-Lozano, Ricardo Jesus; Moreno-Rodriguez, Claudia; Gonzalez-Rodriguez, Erick Alejandro – European Journal of Educational Research, 2021
This study explored the cognitive mechanism behind information integration in the test anxiety judgments in 140 engineering students. An experiment was designed to test four factors combined (test goal orientation, test cognitive functioning level, test difficulty and test mode). The experimental task required participants to read 36 scenarios,…
Descriptors: Test Anxiety, Engineering Education, Algebra, College Students
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Huijser, Stefan; Taatgen, Niels A.; van Vugt, Marieke K. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Preparing for the future during ongoing activities is an essential skill. Yet it is currently unclear to what extent we can prepare for the future in parallel with another task. In two experiments, we investigated how characteristics of a present task influenced whether and when participants prepared for the future, as well as its usefulness. We…
Descriptors: Futures (of Society), Cognitive Processes, Planning, Short Term Memory
Razieh Fathi – ProQuest LLC, 2021
This dissertation describes an experiment to investigate how learners with different levels of background in computer science learn core concepts of computer science, in particular, algorithms. We designed a study to focus on cognitive task analysis for eliciting the empirical mental elements of learning two graph algorithms. Cognitive workload…
Descriptors: Undergraduate Students, Computer Science Education, Algorithms, Cognitive Development
Patwardhan, Mrinal; Murthy, Sahana – Research and Practice in Technology Enhanced Learning, 2017
Learning from interactive learning environments enriched with multiple external representations (MERs) is often beneficial. The learning benefits of MERs highly rely on the development of Representational Competence. Representational Competence refers to an ability to translate and see relations between MERs. The relevant research findings have…
Descriptors: Educational Environment, Interaction, Teaching Methods, Simulation
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Munoz, Albert; Mackay, Jonathon – Journal of University Teaching and Learning Practice, 2019
Online testing is a popular practice for tertiary educators, largely owing to efficiency in automation, scalability, and capability to add depth and breadth to subject offerings. As with all assessments, designs need to consider whether student cheating may be inadvertently made easier and more difficult to detect. Cheating can jeopardise the…
Descriptors: Cheating, Test Construction, Computer Assisted Testing, Classification
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Richter, Juliane; Scheiter, Katharina – Instructional Science: An International Journal of the Learning Sciences, 2019
The purpose of this study was to shed light on the cognitive processes underlying the expertise reversal effect related to multimedia signaling. Multimedia signals highlight correspondences between text and pictures, which is supposed to support text-picture integration and thus learning from multimedia. Previous research suggests that learners'…
Descriptors: Expertise, Eye Movements, Cognitive Processes, Secondary School Students
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Loucks, Jeff; Price, Heather L. – Developmental Psychology, 2019
Executing actions in a specific order is a critical component of many action sequences that children must acquire, the majority of which are learned through observation and imitation of others. Although a wealth of evidence indicates that children can process and represent temporal order in memory, relatively little is known about the development…
Descriptors: Memory, Cognitive Processes, Young Children, Imitation
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