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Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
Finding Model through Latent Semantic Approach to Reveal the Topic of Discussion in Discussion Forum
Setiawan, Reina; Budiharto, Widodo; Kartowisastro, Iman Herwidiana; Prabowo, Harjanto – Education and Information Technologies, 2020
There are lots of information and knowledge can be extracted from a discussion forum. Despite a discussion is opened by submitting a thread as the topic of discussion, however, the discussion may open out to different topics. This paper aims to present a model to find out a topic of discussion through latent semantic approach, named Topics Finding…
Descriptors: Group Discussion, Computer Mediated Communication, Semantics, Identification
Dede, Yüksel; Akçakin, Veysel; Kaya, Gürcan – ECNU Review of Education, 2021
Purpose: The purpose of this study is to explore the mathematical values, mathematics educational values, and educational values involved in mathematical modeling tasks based on different mathematical modeling perspectives. Design/Approach/Methods: In this context, the present study is a qualitative research based on document analysis. The data…
Descriptors: Mathematics Education, Mathematical Models, Values, Social Justice
Sanchez-Ferreres, Josep; Delicado, Luis; Andaloussi, Amine Abbab; Burattin, Andrea; Calderon-Ruiz, Guillermo; Weber, Barbara; Carmona, Josep; Padro, Lluis – IEEE Transactions on Learning Technologies, 2020
The creation of a process model is primarily a formalization task that faces the challenge of constructing a syntactically correct entity, which accurately reflects the semantics of reality, and is understandable to the model reader. This article proposes a framework called "Model Judge," focused toward the two main actors in the process…
Descriptors: Models, Automation, Validity, Natural Language Processing
Madsen, Esben Elholm; Elbe, Anne-Marie; Krustrup, Peter; Larsen, Carsten Hvid; Larsen, Malte Nejst; Madsen, Mads; Hansen, Tina – Cogent Education, 2021
The trans-contextual model (TCM) offers a heuristic-based theoretical framework to understand fifth-grade Danish schoolchildren's motivation to participate in the 11 for Health in Denmark educational football concept, as well as their intention and behaviour to participate in vigorous physical activity (PA) in a leisure-time context. The…
Descriptors: Translation, Content Validity, Context Effect, Models
Braasch, Jason L. G.; Kessler, Erica D. – Discourse Processes: A Multidisciplinary Journal, 2021
Comprehension substantially benefits from attending to, thinking about, and mentally representing the sources of any presented information. Such processes require mental effort and unfortunately people do not always engage in such activities. The current article presents a nascent, evolving model of discourse comprehension that formalizes…
Descriptors: Language Processing, Reading Comprehension, Discourse Analysis, Prediction
Ait-Adda, Samia; Bousbia, Nabila; Balla, Amar – E-Learning and Digital Media, 2023
Our aim in this paper is to improve the efficiency of a learning process by using learners' traces to detect particular needs. The analysis of the semantic path of a learner or group of learners during the learning process can allow detecting those students who are in needs of help as well as identify the insufficiently mastered concepts. We…
Descriptors: Semantics, Learning Processes, Learning Analytics, Models
Venant, Rémi; d'Aquin, Mathieu – International Educational Data Mining Society, 2019
The evaluation of text complexity is an important topic in education. While this objective has been addressed by approaches using lexical and syntactic analysis for decades, semantic complexity is less common, and the recent research works that tackle this question rely on machine learning algorithms that are hardly explainable and are not…
Descriptors: Semantics, Difficulty Level, Concept Mapping, Graphs
Helland, Siri Saugestad; Røysamb, Espen; Schjølberg, Synnve; Øksendal, Elise; Gustavson, Kristin – Journal of Speech, Language, and Hearing Research, 2022
Purpose: Early language difficulties are associated with later internalizing problems across different ages and for different aspects of language. The mechanisms behind this association are, however, less understood. In the current study, we investigated longitudinal associations between language difficulties at 5 years and internalizing problems…
Descriptors: Language Impairments, Behavior Problems, Preschool Children, Self Control
Kida, Shusaku – Second Language Research, 2022
The type of processing-resource allocation (TOPRA) model predicts that the semantic processing of new second language (L2) words can impede the learning of their forms while structural processing can promote it. Using this framework, the present study examined the effects of processing type (semantic, structural, control), exposure frequency (one…
Descriptors: Second Language Learning, Vocabulary Development, Reading Processes, Word Frequency
Hameed, Ansa; Jabeen, Ismat; Khan, Aalia Mehar – Arab World English Journal, 2020
The need for transformation has led kingdom to envision and encode the Saudi Vision 2030 document; it is not merely an idealistic divination but a manuscript with an appropriate plan to accomplish its anticipated economic and social goals. In fact, planning is a critical factor in the document, which shapes it as a discourse of realization and…
Descriptors: Semantics, Discourse Analysis, Strategic Planning, Economic Development
Strickland, Luke; Heathcote, Andrew; Remington, Roger W.; Loft, Shayne – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2017
Event-based prospective memory (PM) tasks require participants to substitute an atypical PM response for an ongoing task response when presented with PM targets. Responses to ongoing tasks are often slower with the addition of PM demands ("PM costs"). Prominent PM theories attribute costs to capacity-sharing between the ongoing and PM…
Descriptors: Evidence, Memory, Models, Decision Making
Krasnobaieva-Chorna, Zhanna; Harbera, Iryna – Journal of Language and Linguistic Studies, 2022
Interpretive theory of translation allows us to consider translation as a tool for studying the process of understanding. The study of the mechanisms of perception and understanding of the text in the process of English-Ukrainian translation permits to clarify the specifics of decoding information about COVID-19 in the pandemic of 2020. The…
Descriptors: Pandemics, COVID-19, Translation, Ukrainian
Cahyo Adi Kistoro, Hanif; Setiawan, Caly; Latipah, Eva; Putranta, Himawan – International Journal of Evaluation and Research in Education, 2021
Character education is also important given to autistic children. This phenomenological research aims to reveal the teacher's experience in teaching character education for autistic children. The participants in this research were 10 teachers from three exceptional schools consisting of public and private exceptional schools. In-depth interview…
Descriptors: Teacher Attitudes, Autism, Pervasive Developmental Disorders, Phenomenology
Bryan Buschner – ProQuest LLC, 2021
School and university classrooms remain the standard around the world for second language instruction. However, over the past 20 years various methods of language learning have permeated the educational landscape to include self-study textbooks, language learning software and online teachers. Some models are evidence based while others lack…
Descriptors: Discourse Analysis, Second Language Learning, Second Language Instruction, Independent Study