NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
No Child Left Behind Act 20011
What Works Clearinghouse Rating
Showing 1 to 15 of 860 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Mengcun Gao; Brandon M. Turner; Vladimir M. Sloutsky – Cognitive Science, 2024
Numerous studies have found that selective attention affects category learning. However, previous research did not distinguish between the contribution of focusing and filtering components of selective attention. This study addresses this issue by examining how components of selective attention affect category representation. Participants first…
Descriptors: Attention, Classification, Memory, Knowledge Representation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Any Fatmawati; Siti Zubaidah; Susriyati Mahanal; Sutopo Sutopo; Muhammad Roil Bilad; Masitah Shahrill – Pegem Journal of Education and Instruction, 2024
One of the essential goals of science learning is to lead students to master scientific concepts or ideas and apply them to explain relevant everyday phenomena. Such mastery should help students to work with various representations. The objective of this study was to determine the effectiveness of the Learning Cycle Multiple Representation (LCMR)…
Descriptors: Preservice Teacher Education, Preservice Teachers, Plants (Botany), Scientific Concepts
Peer reviewed Peer reviewed
Direct linkDirect link
Wang, Mengdi; Chau, Hung; Thaker, Khushboo; Brusilovsky, Peter; He, Daqing – Technology, Knowledge and Learning, 2023
With the increased popularity of electronic textbooks, there is a growing interest in developing a new generation of "intelligent textbooks," which have the ability to guide readers according to their learning goals and current knowledge. Intelligent textbooks extend regular textbooks by integrating machine-manipulable knowledge, and the…
Descriptors: Documentation, Electronic Publishing, Textbooks, Artificial Intelligence
Peer reviewed Peer reviewed
Direct linkDirect link
Jura, Jaroslaw; Kaluzynska, Kaja – International Journal of Social Research Methodology, 2023
This article aims to present a Mixed Integrative Heuristic Approach (MIHA) for image studies based on textual content (media news) analysis. MIHA was developed during an exploratory study on the image of China and the Chinese in Zambia and Angola. The analyzed database was relatively small (2477 articles), and the material was very heterogeneous,…
Descriptors: Heuristics, Content Analysis, Foreign Countries, Asians
Peer reviewed Peer reviewed
Direct linkDirect link
Chen, Xuqian; Wei, Ziqian; Li, Ziteng; Clariana, Roy B. – Educational Technology Research and Development, 2023
How does conceptual structure of external representations contribute to learning? This investigation considered the influence of generative concept sorting and of external structure information moderated by perceived difficulty. In Study 1, undergraduate students completed a perceived difficulty survey and comprehension pretest, then a sorting…
Descriptors: Undergraduate Students, Comprehension, Concept Formation, Difficulty Level
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Delianidi, Marina; Diamantaras, Konstantinos; Chrysogonidis, George; Nikiforidis, Vasileios – International Educational Data Mining Society, 2021
We address the problem of predicting the correctness of the student's response on the next exam question based on their previous interactions in the course of their learning and evaluation process. We model the student performance as a dynamic problem and compare the two major classes of dynamic neural architectures for its solution, namely the…
Descriptors: Grade Prediction, Models, Student Experience, Cognitive Processes
Peer reviewed Peer reviewed
Direct linkDirect link
Lixiang Yan; Lele Sha; Linxuan Zhao; Yuheng Li; Roberto Martinez-Maldonado; Guanliang Chen; Xinyu Li; Yueqiao Jin; Dragan Gaševic – British Journal of Educational Technology, 2024
Educational technology innovations leveraging large language models (LLMs) have shown the potential to automate the laborious process of generating and analysing textual content. While various innovations have been developed to automate a range of educational tasks (eg, question generation, feedback provision, and essay grading), there are…
Descriptors: Educational Technology, Artificial Intelligence, Natural Language Processing, Educational Innovation
Peer reviewed Peer reviewed
Direct linkDirect link
Zhou, Xinlin; Zeng, Jieying – Infant and Child Development, 2022
There has been a long-standing debate on situational and symbolic mathematics, which is associated with how to design and execute mathematics education for all students. Brain studies can give some clues for how to deal with the debate. There are situational, verbalized, and visuospatial brain networks and the connectivity among the networks,…
Descriptors: Mathematics Education, Brain Hemisphere Functions, Mathematical Concepts, Concept Formation
Peer reviewed Peer reviewed
Direct linkDirect link
Butterfuss, Reese; Kendeou, Panayiota – Educational Psychology Review, 2021
The aim of this paper is two-fold. The first aim is to review the core representational and processing aspects of influential accounts of single-document and multiple-document comprehension with a particular emphasis on how readers negotiate conflicting information during reading. This review provides the groundwork for the second aim--to expand…
Descriptors: Reading Comprehension, Cognitive Processes, Conflict, Misconceptions
Peer reviewed Peer reviewed
Direct linkDirect link
Seah, Lay Hoon – Research in Science Education, 2021
This study examined student language in learning the human circulatory system, to understand the challenges they face in representing the knowledge in this topic. Data for this study comprised students' written responses to a range of structured test items. Responses to 17 test items from 70 students across four classes were analysed using tools…
Descriptors: Language Usage, Human Body, Physiology, Knowledge Representation
Butterfuss, Reese; Kendeou, Panayiota – Grantee Submission, 2021
The aim of this paper is two-fold. The first aim is to review the core representational and processing aspects of influential accounts of single-document and multiple-document comprehension with a particular emphasis on how readers negotiate conflicting information during reading. This review provides the groundwork for the second aim--to expand…
Descriptors: Reading Comprehension, Cognitive Processes, Conflict, Misconceptions
Peer reviewed Peer reviewed
Direct linkDirect link
Gamliel, Eyal; Kreiner, Hamutal – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
Attribute-framing bias reflects people's tendency to evaluate positively framed objects more favorably than the same objects framed negatively. Most theoretical accounts of this bias emphasized the role of positive- and negative-framing valence in the message, disregarding the quantitative information that typically accompanies it. To examine the…
Descriptors: Attribution Theory, Bias, Cognitive Processes, Knowledge Representation
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Paulo R. M. Correia; Ian M. Kinchin; Adriano N. Conceição – Knowledge Management & E-Learning, 2023
The evolution of concept mapping has benefitted from the robust theoretical basis provided by Ausubelian learning theory. However, for concept mapping to maintain its relevance and to keep pace with the evolutionary changes in the educational context, it is vital that educational researchers and classroom practitioners can augment this theoretical…
Descriptors: Concept Mapping, Semantics, Cognitive Structures, Learning Theories
Peer reviewed Peer reviewed
Direct linkDirect link
List, Alexandra; Du, Hongcui; Lee, Hye Yeon – Discourse Processes: A Multidisciplinary Journal, 2021
When using the Internet to learn about complex topics or issues, students often encounter information that is both complementary and conflicting. Building on prior work identifying differences in how students reason about multiple conflicting texts, we examine students' connection formation and summative conceptualization of texts systematically…
Descriptors: Conflict, Concept Formation, Reliability, Knowledge Representation
Peer reviewed Peer reviewed
Direct linkDirect link
Speed, Laura J.; Chen, Jidong; Huettig, Falk; Majid, Asifa – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2021
Do we structure object-related conceptual information according to real-world sensorimotor experience, or can it also be shaped by linguistic information? This study investigates whether a feature of language coded in grammar--numeral classifiers--affects the conceptual representation of objects. We compared speakers of Mandarin (a classifier…
Descriptors: Classification, Knowledge Representation, Mandarin Chinese, Indo European Languages
Previous Page | Next Page »
Pages: 1  |  2  |  3  |  4  |  5  |  6  |  7  |  8  |  9  |  10  |  11  |  ...  |  58