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Sheng Bi; Zeyi Miao; Qizhi Min – IEEE Transactions on Learning Technologies, 2025
The objective of question generation from knowledge graphs (KGQG) is to create coherent and answerable questions from a given subgraph and a specified answer entity. KGQG has garnered significant attention due to its pivotal role in enhancing online education. Encoder-decoder architectures have advanced traditional KGQG approaches. However, these…
Descriptors: Grammar, Models, Questioning Techniques, Graphs
Ramírez-Ruiz, Jorge; Moreno-Bote, Rubén – Cognitive Science, 2022
When facing many options, we narrow down our focus to very few of them. Although behaviors like this can be a sign of heuristics, they can actually be optimal under limited cognitive resources. Here, we study the problem of how to optimally allocate limited sampling time to multiple options, modeled as accumulators of noisy evidence, to determine…
Descriptors: Decision Making, Heuristics, Cognitive Processes, Models
Qiang Zha – Studies in Higher Education, 2024
This study is among the few that attempt to connect two popular topics, the rapid growth of Chinese higher education and the shifting China-US university relations. Now both the Chinese and US higher education are among the top systems in the world--in terms of their sizes and standards. While Chinese and American university ties have been among…
Descriptors: Foreign Countries, Intercollegiate Cooperation, Higher Education, International Cooperation
Carlos Valiente; Tracy L. Spinrad; Nancy Eisenberg; Brian Ray – Journal of School Choice, 2024
Studies exploring homeschooling typically focus on comparing homeschoolers to conventionally schooled peers on a range of academic outcomes. Largely absent from the literature are within-group studies designed to identify experiences that facilitate (or hinder) homeschoolers' academic outcomes. The aim of this paper is to describe a heuristic…
Descriptors: Heuristics, Models, Home Schooling, Academic Achievement
Akhrif, Ouidad; Benfaress, Chaymae; EL Jai, Mostapha; El Bouzekri El Idrissi, Youness; Hmina, Nabil – Interactive Technology and Smart Education, 2022
Purpose: The purpose of this paper is to reveal the smart collaborative learning service. This concept aims to build teams of learners based on the complementarity of their skills, allowing flexible participation and offering interdisciplinary collaboration opportunities for all the learners. The success of this environment is related to predict…
Descriptors: Artificial Intelligence, Cooperative Learning, Interdisciplinary Approach, Universities
Horst Bayrhuber; Volker Frederking – Journal of Curriculum Studies, 2024
Empirical research on teachers' professional knowledge is mostly conducted worldwide with reference to the construct 'pedagogical content knowledge' (PCK) introduced by Lee S. Shulman. In the 'Consensus Model' (CM) and the 'Refined Consensus Model' (RCM), PCK was further developed and differentiated. Nevertheless, neither PCK nor CM and RCM…
Descriptors: Pedagogical Content Knowledge, Heuristics, Models, Educational Theories
Michele Dickey – Journal of Educational Multimedia and Hypermedia, 2025
Instructional design is a design discipline that bridges science and arts-based practices. It has a long history of borrowing from various fields of design. Experience Design (XD) is a relatively new field that holds relevance for instructional design because, as a multidisciplinary approach, XD focuses on creating meaningful user experiences and…
Descriptors: Instructional Design, Learning Experience, Educational Environment, Design
Opoku, Maxwell Peprah – Journal of Research on Leadership Education, 2023
In developing sub-Saharan Africa, a region, that is, in the early stages of implementing inclusive education, there is limited discussion on inclusive leadership modules for training leaders. The qualitative study presented in this paper attempted to fill this knowledge gap by considering school leaders' contributions to implementing inclusive…
Descriptors: Inclusion, Leadership Styles, Instructional Leadership, Leadership Training
Masnick, Amy M.; Morris, Bradley J. – Education Sciences, 2022
Data reasoning is an essential component of scientific reasoning, as a component of evidence evaluation. In this paper, we outline a model of scientific data reasoning that describes how data sensemaking underlies data reasoning. Data sensemaking, a relatively automatic process rooted in perceptual mechanisms that summarize large quantities of…
Descriptors: Models, Science Process Skills, Data Interpretation, Cognitive Processes
Taylor, Phil – Professional Development in Education, 2023
This article utilises complexity thinking to further develop a heuristic model for teacher professional growth as a continuous, recursive and adaptive process. Conversations with six case teachers are drawn upon in a phenomenographic study, seeking variation in ways of experiencing learning and development, together comprising professional growth.…
Descriptors: Faculty Development, Teacher Attitudes, Systems Approach, Models
Olney, Andrew M. – Grantee Submission, 2021
Cloze items are commonly used for both assessing learning and as a learning activity. This paper investigates the selection of sentences for cloze item creation by comparing methods ranging from simple heuristics to deep learning summarization models. An evaluation using human-generated cloze items from three different science texts indicates that…
Descriptors: Sentences, Selection, Cloze Procedure, Heuristics
Lamb, Richard; Hand, Brian; Kavner, Amanda – Journal of Science Education and Technology, 2021
This study is intended to provide an example of computational modeling (CM) experiment using machine learning algorithms. Specific outcomes modeled in this study are the predicted influences associated with the Science Writing Heuristic (SWH) and associated with the completion of question items for the Cornell Critical Thinking Test. The Student…
Descriptors: Models, Computation, Content Area Writing, Science Education
Gunes Keskin Cevik; Hikmet Surmeli – Journal of Baltic Science Education, 2024
Learning about the Earth through geoscience education is important in order to make informed decisions about the future of the Earth. The aim of this study is to examine students' conceptual development on geoscience subjects based on inquiry-based learning. 7th grade students participated in this study. The researcher prepared lesson plans and…
Descriptors: Earth Science, Science Tests, Heuristics, Scientific Concepts
Zopluoglu, Cengiz – Educational and Psychological Measurement, 2020
A mixture extension of Samejima's continuous response model for continuous measurement outcomes and its estimation through a heuristic approach based on limited-information factor analysis is introduced. Using an empirical data set, it is shown that two groups of respondents that differ both qualitatively and quantitatively in their response…
Descriptors: Item Response Theory, Measurement, Models, Heuristics
Ishaq, Kashif; Rosdi, Fadhilah; Zin, Nor Azan Mat; Abid, Adnan – Education and Information Technologies, 2022
Digital learning environments have been gaining prominence during the last few years. In particular, the rising usage of mobile devices, including smartphones and tabs, has invited researchers to design and develop learning applications and games for such platforms. Mobile applications and games have been developed for learning languages like many…
Descriptors: Educational Games, Language Acquisition, Handheld Devices, Computer Oriented Programs