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Behzad Mirzababaei; Viktoria Pammer-Schindler – IEEE Transactions on Learning Technologies, 2024
In this article, we investigate a systematic workflow that supports the learning engineering process of formulating the starting question for a conversational module based on existing learning materials, specifying the input that transformer-based language models need to function as classifiers, and specifying the adaptive dialogue structure,…
Descriptors: Learning Processes, Electronic Learning, Artificial Intelligence, Natural Language Processing
Yuang Wei; Bo Jiang – IEEE Transactions on Learning Technologies, 2024
Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…
Descriptors: Cognitive Mapping, Models, Prediction, Short Term Memory
Teguh Yuliandri Putra; Vismaia S. Damaianti; Yeti Mulyati; Andoyo Sastromihardjo; Suhartini Sumadi – International Journal of Language Education, 2024
This research aims to determine the effect of the independent learning model assisted by plasticine media as a way to improve students' abilities in basic reading and writing so that it has an impact on elementary school students' phonemic awareness. The method used in this research is an experimental method with a comparison design of one group…
Descriptors: Literacy Education, Alphabets, Scores, Independent Study
Xinyu Li; Yizhou Fan; Tongguang Li; Mladen Rakovic; Shaveen Singh; Joep van der Graaf; Lyn Lim; Johanna Moore; Inge Molenaar; Maria Bannert; Dragan Gaševic – Journal of Learning Analytics, 2025
The focus of education is increasingly on learners' ability to regulate their own learning within technology-enhanced learning environments. Prior research has shown that self-regulated learning (SRL) leads to better learning performance. However, many learners struggle to productively self-regulate their learning, as they typically need to…
Descriptors: Learning Analytics, Metacognition, Independent Study, Skill Development
Isti Rusdiyani; Yayat Ruhiat; Jaka Wijaya Kusuma; Try Adhi Bangsawan – Educational Process: International Journal, 2025
Background/purpose: Early Childhood Education (ECE) is critical in shaping cognitive and socio-emotional development. In Banten Province, Indonesia, most ECE institutions are privately operated, reflecting strong community involvement. This study examined the coherence between learning models and techniques in fostering scientific attitudes,…
Descriptors: Foreign Countries, Early Childhood Education, Science Education, Social Emotional Learning
Peschl, Markus F. – Learning Organization, 2023
Purpose: The purpose of this paper is to challenge processes of organizational learning and innovation that are based on making use of, extrapolating, or adapting past experiences and knowledge, because such a strategy turns out to be incapable of dealing with the challenges of today's volatile, uncertain, complex and ambiguous environment. As a…
Descriptors: Organizational Learning, Innovation, Models, Learning Processes
Malmi, Lauri; Sheard, Judy; Kinnunen, Päivi; Simon; Sinclair, Jane – ACM Transactions on Computing Education, 2023
Use of theory within a field of research provides the foundation for designing effective research programs and establishing a deeper understanding of the results obtained. This, together with the emergence of domain-specific theory, is often taken as an indicator of the maturity of any research area. This article explores the development and…
Descriptors: Learning Theories, Computer Science Education, Learning Processes, Models
Kilde Löfgren, Sebastian; Weidow, Jonathan; Enger, Jonas – Science Education, 2023
The creation and use of models in science is of great importance for knowledge production and communication. For example, toy models are often used as idealized explanatory models in physics education. Models can be a powerful tool for exploring phenomena in ways that facilitate learning. However, careful consideration of instruction and…
Descriptors: Physics, Science Instruction, Laboratory Experiments, Learning Processes
Yonk, Ryan M.; Simmons, Randy T. – Higher Education Studies, 2023
In this Report on Practice, we explore both the process and an approach of engaging Undergraduate Students in research using a Research Institute setting. Drawing from our experience we conceive of the learning process as a series of interactions and transactions that face the same impediments as any transaction or interaction The approach, we…
Descriptors: Undergraduate Students, Learning Processes, Experiential Learning, Public Policy
Caitlin R. Bowman; Dagmar Zeithamova – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
A major question for the study of learning and memory is how to tailor learning experiences to promote knowledge that generalizes to new situations. In two experiments, we used category learning as a representative domain to test two factors thought to influence the acquisition of conceptual knowledge: the number of training examples (set size)…
Descriptors: Classification, Learning Processes, Generalization, Recognition (Psychology)
Gueudet, Ghislaine; Buteau, Chantal; Muller, Eric; Mgombelo, Joyce; Sacristán, Ana Isabel; Rodriguez, Marisol Santacruz – Educational Studies in Mathematics, 2022
We are interested in understanding how university students learn to use programming as a tool for "authentic" mathematical investigations (i.e., similar to how some mathematicians use programming in their research work). The theoretical perspective of the instrumental approach offers a way of interpreting this learning in terms of…
Descriptors: College Students, College Mathematics, Models, Concept Formation
Murphy, Victoria L.; Littlejohn, Allison; Rienties, Bart – Journal of Workplace Learning, 2022
Purpose: Learning from incidents (LFI) is an organisational process that high-risk industries use following an accident or near-miss to prevent similar events. Literature on the topic has presented a fragmented conceptualisation of learning in this context. This paper aims to present a holistic taxonomy of the different aspects of LFI from the…
Descriptors: Workplace Learning, Informal Education, Organizational Learning, Safety
The Imagineering Learning via Metaverse: ILM Model via Metaverse to Promote Creative Thinking Skills
Atthaphon Wongla; Pinanta Chatwattana – Journal of Education and Learning, 2024
The ILM model to promote creative thinking skills is concerning the application of the concepts of virtual technology in the instruction management, which is consistent and appropriate for learners in the digital age, so that they are able to learn anywhere and anytime by means of the brand-new teaching innovations. The objectives of this research…
Descriptors: Creative Thinking, Thinking Skills, Imagination, Models
Saisuda Tiacharoen; Wannawee Boonkoum; Sirikamol Modmoltin – World Journal of Education, 2024
The objectives of this research were to 1) study the basic data of learning innovation to enhance creative young entrepreneurial skills in schools of Kanchanaburi Province, 2) develop the learning innovation to enhance creative young entrepreneurial skills in schools of Kanchanaburi Province, 3) implement the learning innovation to enhance…
Descriptors: Foreign Countries, Entrepreneurship, Creative Development, Educational Innovation
Juha Himanka – European Journal of Higher Education, 2025
This study presents the Terele-model (TEaching, REsearch, LEarning) -- an easy-to-use model that distinguishes different levels of connection between teaching, research and learning. To do this the study uses Johari windows to show clearly and intuitively the five different levels of action and interaction between the teacher and the student. At…
Descriptors: Models, Teaching Methods, Learning Processes, Theory Practice Relationship

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