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Sosa, Ricardo; van Dijck, Max – Creativity Research Journal, 2022
The distinction between "Big-C" and "little-c" creativity implies that the generative process of celebrated creators is of a special type or degree. Arguments for and against such a hierarchy of creativity are found in the literature, primarily built on rhetorical argumentation. The aim of this work is to examine the rationale…
Descriptors: Creativity, Computer Simulation, Models, Social Systems
Egamaria Alacam; Craig K. Enders; Han Du; Brian T. Keller – Grantee Submission, 2023
Composite scores are an exceptionally important psychometric tool for behavioral science research applications. A prototypical example occurs with self-report data, where researchers routinely use questionnaires with multiple items that tap into different features of a target construct. Item-level missing data are endemic to composite score…
Descriptors: Regression (Statistics), Scores, Psychometrics, Test Items
Zoran Sevarac; Jelena Jovanovic; Vladan Devedzic; Bojan Tomic – Interactive Learning Environments, 2023
The paper proposes EXPLODE, a new model of exploratory learning environment for teaching and learning neural networks. The EXPLODE model is about pedagogically instrumenting a software development environment to transform it into an exploratory learning environment for neural networks. Such an environment is particularly aimed for students who are…
Descriptors: Models, Discovery Learning, Artificial Intelligence, Computer Simulation
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
Miciak, Jeremy; Taylor, W. Pat; Stuebing, Karla K.; Fletcher, Jack M. – Journal of Psychoeducational Assessment, 2018
We investigated the classification accuracy of learning disability (LD) identification methods premised on the identification of an intraindividual pattern of processing strengths and weaknesses (PSW) method using multiple indicators for all latent constructs. Known LD status was derived from latent scores; values at the observed level identified…
Descriptors: Accuracy, Learning Disabilities, Classification, Identification
Schlauch, Robert S.; Carney, Edward – Journal of Speech, Language, and Hearing Research, 2018
Purpose: Computer simulation was used to estimate the statistical properties of searches for maximum word recognition ability (PB max). These involve presenting multiple lists and discarding all scores but that of the 1 list that produced the highest score. The simulations, which model limitations inherent in the precision of word recognition…
Descriptors: Word Recognition, Computer Simulation, Scores, Phonemes
Bukhari, Nurliyana – ProQuest LLC, 2017
In general, newer educational assessments are deemed more demanding challenges than students are currently prepared to face. Two types of factors may contribute to the test scores: (1) factors or dimensions that are of primary interest to the construct or test domain; and, (2) factors or dimensions that are irrelevant to the construct, causing…
Descriptors: Item Response Theory, Models, Psychometrics, Computer Simulation
Costa, Joana Martinho; Miranda, Guilhermina Lobato – Informatics in Education, 2019
This paper presents an approach to the initial programming learning using the four components instructional model and the Alice software. The quasi-experimental design was developed with two groups of students that attended two schools with very different socioeconomic status and school retention levels. The differences obtained in the mean of the…
Descriptors: Computer Software, Instructional Design, Models, Programming
Green, Jeffrey J.; Stone, Courtenay Clifford; Zegeye, Abera – Journal of Education for Business, 2014
Colleges and universities are being asked by numerous sources to provide assurance of learning assessments of their students and programs. Colleges of business have responded by using a plethora of assessment tools, including the Major Field Test in Business. In this article, the authors show that the use of the Major Field Test in Business for…
Descriptors: Business Administration Education, Student Evaluation, Accreditation (Institutions), Comparative Analysis
Juan, M.-Carmen; Alexandrescu, Lucian; Folguera, Fernando; García-García, Inmaculada – Digital Education Review, 2016
Three-dimensional models are important when the learning content is difficult to acquire from 2D images or other traditional methods. This is the case for learning dental morphology. In this paper, we present a mobile augmented reality (AR) system for learning dental morphology. A study with students was carried out to determine whether learning…
Descriptors: Teaching Methods, Models, Visual Aids, Undergraduate Students
Allen, Lauren K.; Eagleson, Roy; de Ribaupierre, Sandrine – Anatomical Sciences Education, 2016
Neuroanatomy is one of the most challenging subjects in anatomy, and novice students often experience difficulty grasping the complex three-dimensional (3D) spatial relationships. This study evaluated a 3D neuroanatomy e-learning module, as well as the relationship between spatial abilities and students' knowledge in neuroanatomy. The study's…
Descriptors: Anatomy, Neurosciences, Undergraduate Students, Medical Students
Pablo-Romero, Maria del Populo; Pozo-Barajas, Rafael; Gomez-Calero, Maria de la Palma – Educational Technology & Society, 2012
The IS-ML model is a basic tool used in the teaching of short-term macroeconomics. Teaching is essentially done through the use of graphs. However, the way these graphs are traditionally taught does not allow the learner to easily visualise changes in the curves. The IS-LM simulation program overcomes difficulties encountered in understanding the…
Descriptors: Statistical Analysis, Economics Education, Graphs, Macroeconomics
Diener, Marissa L.; Wright, Cheryl A.; Smith, Katherine N.; Wright, Scott D. – Creativity Research Journal, 2014
The goal of this study was to develop a measure of creativity that builds on the strengths of youth with autism spectrum disorders (ASD). The assessment of creativity focused on the visual-spatial abilities of these youth using 3D modeling software. One of the objectives of the research was to develop a measure of creativity in an authentic…
Descriptors: Autism, Pervasive Developmental Disorders, Creativity, Creativity Tests
Suvannatsiri, Ratchasak; Santichaianant, Kitidech; Murphy, Elizabeth – European Journal of Engineering Education, 2015
This paper reports on a project in which students designed, constructed and tested a model of an existing early warning system with simulation of debris flow in a context of a landslide. Students also assessed rural community members' knowledge of this system and subsequently taught them to estimate the time needed for evacuation of the community…
Descriptors: Undergraduate Students, Engineering Education, Student Improvement, Emergency Programs
Soulios, Ioannis; Psillos, Dimitris – International Journal of Science Education, 2016
In this study we present the structure and implementation of a model-based inquiry teaching-learning sequence (TLS) integrating expressive, experimental and exploratory modelling pedagogies in a cyclic manner, with the aim of enhancing primary education student teachers' epistemological beliefs about the aspects, nature, purpose and change of…
Descriptors: Student Teachers, Epistemology, Beliefs, Inquiry
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