27 papers · ranked by Valyu relevance
Panagiota Dimitropoulou, Diamanto Filippatou, Stamatia Gkoutzourela, Anthi Griva + 3 more
'Anthi Griva' 'Iouliani Pachiti' 'Michalis Michaelides' 'Jerrell Cassady'] This study examines the relationship between school climate, motivation, and academic emotions in shaping learning outcomes, with a focus on reading comprehension. Based on the control-value theory of academic emotions and self-determination…
Heikki Lyytinen, Natalia Louleli, Luigi De Gennaro, Pierluigi Zoccolotti
'Pierluigi Zoccolotti'] Possibly some of the most important skills that one can have are those needed to become fully literate. We all wish our children to reach such a goal. Unfortunately, the focus of attention in reading research has been on acquiring readiness to sound out written language, i.e., the basic reading…
Juliette C. Désiron, Mireille Bétrancourt, Erica de Vries
Learning from a text-picture multimedia document is particularly effective if learners can link information within the text and across the verbal and the pictorial representations. The ability to create a mental model successfully and include those implicit links is related to the ability to generate inferences. Text…
Xiaoqiang Wang, Bang Liu, Siliang Tang, Lingfei Wu
We present SkillQG: a question generation framework with controllable comprehension types for assessing and improving machine reading comprehension models. Existing question generation systems widely differentiate questions by literal information such as question words and answer types to generate semantically relevant…
Tun Zaw Oo, Anita Habók
This study aimed to scrutinize the effects of the reflection-based questioning approach (RBQA) on Myanmar students’ achievement in English reading comprehension. The RBQA approach covers Oo et al.’s (2021) reflective teaching model for reading comprehension (based on planning, acting, reflecting, and evaluating) in…
Madjid Sadallah
Reading Comprehension in Educational Content Authors: ['Madjid Sadallah'] Delivering high-quality content is crucial for effective reading comprehension and successful learning. Ensuring educational materials are interpreted as intended by their authors is a persistent challenge, especially with the added complexity of…
Lisanne T. Bos, Bjorn B. De Koning, Stephanie I. Wassenburg, Menno van der Schoot
'Menno van der Schoot'] This study aimed to enhance third and fourth graders’ text comprehension at the situation model level. Therefore, we tested a reading strategy training developed to target inference making skills, which are widely considered to be pivotal to situation model construction. The training was…
Michael P. Kaschak, Carol M. Connor, Jennifer L. Dombek, Ulrich von Hecker
'Ulrich von Hecker'] We report a design study that assessed the feasibility of Enacted Reading Comprehension (ERC), an intervention designed to teach 3rd and 4th grade students (n = 40 and 25, respectively) to use gestures to understand an increasingly abstract set of texts. Students were taught to use gestures to…
Astrid Kraal, Arnout W. Koornneef, Nadira Saab, Paul W. van den Broek
'Paul W. van den Broek'] The present study investigated comprehension processes and strategy use of second-grade low- and high-comprehending readers when reading expository and narrative texts for comprehension. Results from think-aloud protocols indicated that text genre affected the way the readers processed the…
Liam Richards Maldonado
Academic reading is a key component of higher education, and serves as a basis for critical thinking, knowledge acquisition and effective communication. Research shows many students struggle with comprehension and analysis tasks with academic texts, despite the central importance of academic reading to success in…
Alice Hodapp, Milena Rabovsky
The functional significance of the N400 ERP component is still actively debated. Based on neural network modeling it was recently proposed that the N400 component can be interpreted as the change in a probabilistic representation corresponding to an internal temporal-difference prediction error at the level of meaning…
Yuan Miao, Gongqi Lin, Yidan Hu, Chunyan Miao
Reading comprehension is an important ability of human intelligence. Literacy and numeracy are two most essential foundation for people to succeed at study, at work and in life. Reading comprehension ability is a core component of literacy. In most of the education systems, developing reading comprehension ability is…
Stephanie Day, Jin K. Hwang, Tracy Arner, Danielle S. McNamara + 1 more
and Comprehension Skills Authors: ['Stephanie Day' 'Jin K. Hwang' 'Tracy Arner' 'Danielle S. McNamara' 'Carol McDonald Connor'] The purpose of this feasibility study was to examine the potential impact of reading digital interactive e-books, Word Knowledge e-books (WKe-Books), on essential skills that support reading…
Safiye Çiftlikli, Özcan Demirel
The most important thing in effective communication is understanding not only what is said, but also why it is said. Therefore, the development of pragmatic competence in another language is essential to be able to communicate effectively. Pragmatic competence plays an important role in enabling interlocutors to work…
Y. K. Jain, John Hollander, Ang He, Sunny X. Tang + 2 more
- 1 Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign, Urbana, IL 61801, USA - 2 Department of Psychology and Counseling, Arkansas State University, Jonesboro, AR 72401, USA - 3 School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213, USA - 4 Heinz College of…
Karen Froud, Lisa Levinson, Chaille Maddox, Paul Smith
We report the first use of ERP measures to identify text engagement differences when reading digitally or in print. Depth of semantic encoding is key for reading comprehension, and we predicted that deeper reading of expository texts would facilitate stronger associations with subsequently-presented related words…
Xiangjuan Ren, Muzhi Wang, Tingting Qin, Fang Fang + 2 more
Humans naturally seek knowledge, yet integrating vast, fragmented information remains challenging. Traditionally, knowledge acquisition has relied on random walks within network—an unguided and inefficient process. We introduce compressive learning, a framework that embeds higher-order structural features—specifically…
Gili Lior, Yuval Shalev, Gabriel Stanovsky, Ariel Goldstein
The human brain is an adaptive learning system that can generalize to new tasks and unfamiliar environments. The traditional view is that such adaptive behavior requires a structural change of the learning system (e.g., via neural plasticity). In this work, we use artificial neural networks, specifically large language…
James L. McClelland, Bruce L. McNaughton, Andrew K. Lampinen
According to complementary learning systems theory, integrating new memories into the neocortex of the brain without interfering with what is already known depends on a gradual learning process, interleaving new items with previously learned items. However, empirical studies show that information consistent with prior…
Zijian Zhang, Sara Aronowitz, Alán Aspuru‐Guzik
catalysts, and learning Authors: ['Zijian Zhang' 'Sara Aronowitz' 'Alán Aspuru‐Guzik'] Understanding is a crucial yet elusive concept in artificial intelligence (AI). This work proposes a framework for analyzing understanding based on the notion of composability. Given any subject (e.g., a person or an AI), we suggest…
Michael L. Mack, Alison R. Preston, Bradley C. Love
Prefrontal cortex (PFC) is thought to support the ability to focus on goal-relevant information by filtering out irrelevant information, a process akin to dimensionality reduction. Here, we test this dimensionality reduction hypothesis by combining a data-driven approach to characterizing the complexity of neural…
Szu Szu Ling, Fabrice Saffre, Deborah L. Gater, Lilia Halim + 1 more
Computer quiz games are introduced to improve teaching and learning in a freshman engineering chemistry course in an English-as-a-Second-Language (ESL) environment. These quiz games are developed and implemented as a supplemental and augmentative tool to enhance traditionally delivered lectures. The paper shows an…
Timothy Gould
This study examined factors influencing student confidence and their perception of learning in the context of undergraduate chemistry and biochemistry courses. Anonymous online surveys were used to measure the extent to which small group work influenced student confidence in solving problems compared to working…
Dao Xuan-Quy, Le Ngoc-Bich, Vo The-Duy, Ngo Bac-Bien + 1 more
This study evaluates the potential and challenges of large langue models (LLMs) for education in chemistry. Specifically, we analyze the performance of two state -of-the art of LLMs, ChatGPT and Microsoft Bing AI Chat, on a quiz dataset consisting of 200 multiple-choice questions in chemistry at the high school level.…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…
Feng Feng, Zhenru Chen, Jianyuan Ni, Yuanxun Zhang + 3 more
Drinking water is essential to public health and socioeconomic growth. Therefore, assessing and ensuring drinking water supply is a critical task in modern society. Conventional approaches to analyzing and controlling drinking water quality are labor-intensive and costly with a low throughput. Machine learning (ML) is…
Ronald Marquez, Laura Tolosa, Ruben Gomez, Cesar Izaguirre + 3 more
The teaching-learning process in traditional university education uses strategies that position the student as a recipient of information conveyed by the teacher and conceptualized as knowledge. The reality in which we live, including the characteristics of new generational groups, requires the generation of training…