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Meral, Cigdem – ProQuest LLC, 2023
Preparing students for science, technology, engineering, and mathematics (STEM) education is one of the United States' K-12 educational concerns (Gandhi et al., 2016). Despite the National Science Foundation's (NSF) report that the number of students participating in STEM fields continues to increase, the number of underrepresented students…
Descriptors: High School Students, STEM Education, Career Choice, Decision Making
Ahmad Samed Al-Adwan; Mutaz M. Al-Debei – Education and Information Technologies, 2024
The interest in metaverse technology has risen notably in higher education learning contexts. Due to the global spread of the Covid-19 pandemic, higher education institutions are now increasingly emphasising online interactive learning. Higher education institutions are currently investigating the potential of metaverse technology to enhance…
Descriptors: Technology Uses in Education, Computer Simulation, Electronic Learning, Interaction
Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
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
Hoffenson, Steven; Fay, Brendan – Advances in Engineering Education, 2021
In product design, there is often a disconnect between the engineers creating the product and the marketing team determining the best characteristics for the product. The research areas of "design for market systems" and "decision-based design" seek to bridge that disconnect through quantitative approaches that facilitate…
Descriptors: Engineering Education, Marketing, Decision Making, Design
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
Wulff, Dirk U.; Pachur, Thorsten – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
What are the cognitive mechanisms underlying subjective valuations formed on the basis of sequential experiences of an option's possible outcomes? Ashby and Rakow (2014) have proposed a sliding window model (SWIM), according to which people's valuations represent the average of a limited sample of recent experiences (the size of which is estimated…
Descriptors: Experimental Psychology, Cognitive Psychology, Modeling (Psychology), Models
Wesley, Alexa; Parnell, Amelia; Askin, Jacalyn – NASPA - Student Affairs Administrators in Higher Education, 2020
Higher education is deploying a range of innovative strategies in response to rising costs and financial challenges. This report presents findings from a NASPA [National Association of Student Personnel Administrators] study on cost-saving initiatives at three institutions. Each institution aimed to creatively address different areas affecting…
Descriptors: Higher Education, Cost Effectiveness, Professional Associations, Student Personnel Workers
Kok, Ayse – Education and Information Technologies, 2014
CBT (computer-based training) can benefit from the modern multimedia tools combined with network capabilities to overcame traditional education. The objective of this paper is focused on CBT development to improve strategic decision-making with regard to air command and control system for NATO staff in virtual environment. A conceptual design for…
Descriptors: Case Studies, Models, Armed Forces, International Cooperation
Min, Wookhee; Wiggins, Joseph B.; Pezzullo, Lydia G.; Vail, Alexandria K.; Boyer, Kristy Elizabeth; Mott, Bradford W.; Frankosky, Megan H.; Wiebe, Eric N.; Lester, James C. – International Educational Data Mining Society, 2016
Recent years have seen a growing interest in intelligent game-based learning environments featuring virtual agents. A key challenge posed by incorporating virtual agents in game-based learning environments is dynamically determining the dialogue moves they should make in order to best support students' problem solving. This paper presents a…
Descriptors: Prediction, Models, Intelligent Tutoring Systems, Computer Simulation
Kinczkowski, Linda; Cardon, Phillip; Speelman, Pamela – Technology and Engineering Teacher, 2015
This paper provides examples of Aid-to-Thought uses in urban decision making, classroom laboratory planning, and in a ship antiaircraft defense system. Aid-to-Thought modeling and simulations are tools students can use effectively in a STEM classroom while meeting Standards for Technological Literacy Benchmarks O and R. These projects prepare…
Descriptors: Technological Literacy, Benchmarking, Computer Simulation, Computer Graphics
Gupta, Nakul; Bharadwaj, Sangeeta Shah – Education & Training, 2013
Purpose: Pedagogy today has become a function of technology and this relationship becomes all the more promising when used to address the educational needs of the constantly changing and fast evolving business school education. Business schools today are responsible for empowering future managers and leaders with not only the knowledge and…
Descriptors: Business Administration Education, Educational Needs, Business, Computer Simulation
Ney, Muriel; Gonçalves, Celso; Balacheff, Nicolas – IEEE Transactions on Learning Technologies, 2014
Simulation games are games for learning based on a reference in the real world. We propose a model for authenticity in this context as a result of a compromise among learning, playing and realism. In the health game used to apply this model, students interact with characters in the game through phone messages, mail messages, SMS and video.…
Descriptors: Heuristics, Computer Simulation, Video Games, Models