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Bahar Radmehr; Adish Singla; Tanja Käser – International Educational Data Mining Society, 2024
There has been a growing interest in developing learner models to enhance learning and teaching experiences in educational environments. However, existing works have primarily focused on structured environments relying on meticulously crafted representations of tasks, thereby limiting the agent's ability to generalize skills across tasks. In this…
Descriptors: Reinforcement, Artificial Intelligence, Educational Environment, Natural Language Processing
Andreas Marougkas; Christos Troussas; Akrivi Krouska; Cleo Sgouropoulou – Smart Learning Environments, 2025
Virtual Reality has proven to be highly promising within the field of learning. Most VR learning methods do not effectively implement pedagogical models or adapt to the individual's learning style. This research aims to bridge this gap by integrating Fuzzy Cognitive Maps (FCMs), Flow Theory and Gamification within an educational Virtual Reality…
Descriptors: Computer Simulation, Computer Games, Educational Games, Computer Science Education
Paul Meara; Imma Miralpeix – Vocabulary Learning and Instruction, 2025
This paper is part 5 of a series of workshops that examines the properties of some simple models of vocabulary networks. While previous workshops dealt with activating words in the network, this workshop focuses on vocabulary loss. We will simulate two possible ways of modelling attrition: (a) explicitly turning active words OFF, and (b) raising…
Descriptors: Vocabulary Development, Workshops, Models, Networks
Lupker, Stephen J.; Spinelli, Giacomo; Davis, Colin J. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2020
A word's exterior letters, particularly its initial letter, appear to have a special status when reading. Therefore, most orthographic coding models incorporate assumptions giving initial letters and, in some cases, final letters, enhanced importance during the orthographic coding process. In the present article, 3 masked priming experiments were…
Descriptors: Alphabets, Reading Processes, Priming, Decision Making
The AI Teacher Test: Measuring the Pedagogical Ability of Blender and GPT-3 in Educational Dialogues
Tack, Anaïs; Piech, Chris – International Educational Data Mining Society, 2022
How can we test whether state-of-the-art generative models, such as Blender and GPT-3, are good AI teachers, capable of replying to a student in an educational dialogue? Designing an AI teacher test is challenging: although evaluation methods are much-needed, there is no off-the-shelf solution to measuring pedagogical ability. This paper reports…
Descriptors: Artificial Intelligence, Dialogs (Language), Bayesian Statistics, Decision Making
Dodds, Colin B.; Whelan, Alison; Kharrufa, Ahmed; Satar, Müge – Research-publishing.net, 2021
This chapter is based on a workshop at IVEC 2020 which presented a model of Virtual Exchange (VE) facilitated by interactive, digital, and cultural artefacts created using a progressive web app developed by the EU-funded ENACT project team. The model offers an innovative approach to online intercultural exchange through the opportunity to create,…
Descriptors: Computer Software, Second Language Learning, Second Language Instruction, Open Educational Resources
Berney, Sandra; Bétrancourt, Mireille; Molinari, Gaëlle; Hoyek, Nady – Anatomical Sciences Education, 2015
The emergence of dynamic visualizations of three-dimensional (3D) models in anatomy curricula may be an adequate solution for spatial difficulties encountered with traditional static learning, as they provide direct visualization of change throughout the viewpoints. However, little research has explored the interplay between learning material…
Descriptors: Spatial Ability, Visualization, Computer Simulation, Models
Tretter, Thomas R.; Thornburgh, William R.; Duckwall, Mark – Science and Children, 2016
Supporting elementary student understandings of ideas related to Earth's Place in the Universe (ESS1) can be challenging, especially given the large time and distance scales involved with many of the concepts. However, with effective use of crosscutting concepts and science and engineering practices, important concepts within this content domain…
Descriptors: Astronomy, Space Sciences, Elementary School Students, Scientific Concepts
Hsiao, Indy Y. T.; Yang, Stephen J. H.; Chia-Jui, Chu – Educational Technology Research and Development, 2015
French is the ninth most widely used language globally, but French-learning environments in Taiwan have been insufficient. Language acquisition is easier in a natural setting, and so such a setting should be available to language learners wherever possible. This study aimed to (1) create an authentic environment for learning French in Second Life…
Descriptors: French, Models, Language Acquisition, Educational Environment
Rands, Sean A. – Bioscience Education, 2012
Models are an important tool in science: not only do they act as a convenient device for describing a system or problem, but they also act as a conceptual tool for framing and exploring hypotheses. Models, and in particular computer simulations, are also an important education tool for training scientists, but it is difficult to teach students the…
Descriptors: Physical Activities, Biology, Sciences, Computer Assisted Instruction
Chang, Li-Yun; Plaut, David C.; Perfetti, Charles A. – Scientific Studies of Reading, 2016
The visual complexity of orthographies varies across writing systems. Prior research has shown that complexity strongly influences the initial stage of reading development: the perceptual learning of grapheme forms. This study presents a computational simulation that examines the degree to which visual complexity leads to grapheme learning…
Descriptors: Reading Skills, Reading Processes, Phoneme Grapheme Correspondence, Native Language
Deutschmann, Mats; Panichi, Luisa – International Journal of Virtual and Personal Learning Environments, 2013
This paper presents some of the overall frameworks and models for language learning that were used under Avalon (Access to Virtual and Action Learning live ONline), an EU co-funded project aimed at developing language-learning scenarios in virtual worlds. The introduction and background summarize some of the theories that constitute the starting…
Descriptors: Virtual Classrooms, Computer Simulation, Computer System Design, Models
Hubner, Ronald; Steinhauser, Marco; Lehle, Carola – Psychological Review, 2010
The dual-stage two-phase (DSTP) model is introduced as a formal and general model of selective attention that includes both an early and a late stage of stimulus selection. Whereas at the early stage information is selected by perceptual filters whose selectivity is relatively limited, at the late stage stimuli are selected more efficiently on a…
Descriptors: Attention Control, Evaluation Methods, Psychology, Attention
Kopainsky, Birgit; Pedercini, Matteo; Davidsen, Pal I.; Alessi, Stephen M. – Simulation & Gaming, 2010
Simulation models provide decision support to long-term planning processes. The Bergen Learning Environment for National Development (BLEND) is a game based on a simplified version of Millennium Institute's Threshold 21 model (T21) that sensitizes policy makers in sub-Saharan African nations to the need for simulation-based decision support. The…
Descriptors: Behavior Patterns, Academic Achievement, Models, Computer Simulation
Sutton, Jennifer E.; Joanisse, Marc F.; Newcombe, Nora S. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2010
Recent studies have used spatial reorientation task paradigms to identify underlying cognitive mechanisms of navigation in children, adults, and a range of animal species. Despite broad interest in this task across disciplines, little is known about the brain bases of reorientation. We used functional magnetic resonance imaging to examine neural…
Descriptors: Cues, Computer Simulation, Brain, Geometric Concepts
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