24 papers · ranked by Valyu relevance
Hachi E. Manzur, Ksenia Vlasov, You-Jhe Jhong, Hung-Yen Chen + 1 more
Studies of associative learning have commonly focused on how rewarding outcomes are predicted by either sensory stimuli or animals’ actions. However, in many learning scenarios, reward delivery requires the occurrence of both sensory stimuli and animals’ actions in a specific order, in the form of behavioral sequences.…
Jia-xue Yuan, Ke-yu Yang, Jing Ma, Zhen-zhen Wang + 2 more
'Fei Liu'] Background Layering techniques for direct composite resin restorations might be complicated for inexperienced learners, as a number of materials and instruments are required at each step. The present study aimed to compare and assess the teaching effect of step-by-step and all-in-one teaching methods in…
Greg Wilson, Francis Ouellette
We present 10 tips for building effective lessons that are grounded in empirical research on pedagogy and cognitive psychology and that we have found to be practically useful in both classroom and free-range settings
Yu-Sheng Su, Ching-Yao Chang, Cheng-Hsin Wang, Chin-Feng Lai
In recent years, STEM education has developed students’ fundamental subject knowledge, and has allowed students to integrate STEM cross-domain knowledge. Universities emphasize innovative thinking, practice and application, problem-solving, and teamwork to nurture students while learning STEM cross-domain knowledge…
Mario Brcic, Stjepan Frljic
With AI advancing fast, educators face a dilemma: allow the tool or ban it. Conflicting evidence that it both helps and hurts learning only deepens the confusion. The allow-or-ban framing is a false dichotomy; the relevant design question is placement. Used well, AI can scale feedback, examples, practice, and…
Mahbub Hasan, Md Shahadat Hossain Khan, A.K.M. Foysal Ahmed
Incorporating appropriate pedagogical strategies has been instrumental in the development of a favorable learning environment for holistic learning, particularly in Science, Technology, Engineering, and Mathematics (STEM) education. However, there is growing evidence of the need to advance the existing methods, through…
Nurcan Kaya, Gönül Akçamete, Mukaddes Sakallı Demirok
This study aimed to compare the effectiveness of technology-supported stepped teaching method in the acquisition of clock reading/telling and fraction reading/telling skills among students with mathematics learning difficulties. Six students from a special education school in the Turkish Republic of Northern Cyprus…
Maria Shujah, Suyash Joshi, Mari Nakamura, Tania Rinaldi Barkat
Curriculum Learning (CL) is a strategy where concepts with increasing complexity are acquired sequentially. Despite its widespread application, its putative neural mechanisms are poorly understood. In this study, using a multi-staged Go/No-Go auditory discrimination paradigm for mice, we show that CL improves and…
Trina D. Spencer
Although behavior analysts are trained in discrete trial instruction, other instructional approaches like Direct Instruction are underutilized in behavior analytic practice. Direct Instruction is a specialized technology that capitalizes on sophisticated instructional design and highly effective delivery strategies.…
Authors not listed
Chemistry curricula often separate “wet” experimental work from “dry” computation, yet modern discovery increasingly demands both. This Perspective offers an instructor-ready roadmap to train “hybrid chemists” within existing courses. We distill recent advances in machine learning, automation, and real-time analytics…
Daniel Weitekamp, Christopher MacLellan, Erik Harpstead, Kenneth Koedinger
'Kenneth Koedinger'] Human learning relies on specialization—distinct cognitive mechanisms working together to enable rapid learning. In contrast, most modern neural networks rely on a single mechanism: gradient descent over an objective function. This raises the question: might human learners' relatively rapid…
Tomáš Mikolov, Armand Joulin, Marco Baroni
The development of intelligent machines is one of the biggest unsolved challenges in computer science. In this paper, we propose some fundamental properties these machines should have, focusing in particular on communication and learning. We discuss a simple environment that could be used to incrementally teach a…
William L. Tong, Anisha Iyer, Venkatesh N. Murthy, Gautam Reddy
Dogs and laboratory mice are commonly trained to perform complex tasks by guiding them through a curriculum of simpler tasks (‘shaping’). What are the principles behind effective shaping strategies? Here, we propose a machine learning framework for shaping animal behavior, where an autonomous teacher agent decides its…
Scott E. Allen, A. David Redish, René F. Kizilcec
Learning underlies nearly all human behavior and is central to education and education reform. Although recent advances in neuroscience have revealed the fundamental structure of learning processes, these insights have yet to be integrated into research and practice. Specifically, neuroscience has found that…
George Leu, Jiangjun Tang
Machine education is an emerging research field that focuses on the problem which is inverse to machine learning. To date, the literature on educating machines is still in its infancy. A fairly low number of methodology and method papers are scattered throughout various formal and informal publication avenues, mainly…
Hussein A. Abbass, Sondoss Elsawah, Eleni Petraki, Robert Hunjet
—The literature on machine teaching, machine education, and curriculum design for machines is in its infancy with sparse papers on the topic primarily focusing on data and model engineering factors to improve machine learning. In this paper, we first discuss selected attempts to date on machine teaching and education.…
Authors not listed
Step-by-step thinking is essential in all domains of chemical sciences and engineering. While machine learning tools are broadly used, algorithms that automate reasoning are far less common. We elaborate on seven categories of human reasoning activities and connect each to applications in chemical science and…
Jihyea Lee, Jerald D. Kralik, YuJin Cha, Jee Hang Lee + 1 more
Causal reasoning is a principal higher-cognitive ability of humans, however, much remains unknown, including (a) the type (systematic versus intermixed) and order (inductive-then-deductive or vice versa) of experience that best achieves causal-chain extraction; (b) how inferences generalize to novel problems…
R. A. Wolf, Sho Araiba
—In this paper we provide an overview of the programmed instructions approach for the purpose of quantum software education. The article presents the programmed instructions method and recent successes in STEM fields before describing its operating mode. Elements tackled include the core components of programmed…
David M. Huberdeau, Adrian M. Haith, John W. Krakauer
Many motor skills consist of continuous sequential actions, such as a tennis serve. It is currently unclear how these surprisingly understudied behaviors are learned, with the leading hypothesis being that sequences of single actions become “chunked” into larger single executable units. Under this hypothesis…
Authors not listed
In philosophy and science, a first principle is a basic proposition or assumption that cannot be deduced from any other proposition or assumption. Ancient Greek philosophy Aristotle defined the first principle as “the first basis from which a thing is known.” First principles thinking (or reasoning from first…
Lucie Denisart, Diana Zapata-Dominguez, Xavier David, Aubin Leclere + 5 more
The manufacturing process of batteries can be complex and time-consuming. We introduce a new version of the digital twin of our lithium ion battery pilot line, Simubat 4.0 Gen-2, based on a new combination of Virtual Reality and Mixed Reality. This digital twin is designed to deliver training on the lithium-ion battery…
Teodóra Vékony, Hanna Marossy, Anita Must, László Vécsei + 2 more
In cognitive neuroscience, the momentary learning performance and the underlying competence on a behavioral task are typically not distinguished, which can lead to unreliable measures of brain-behavior relationships. Here we aimed to disentangle competence from performance by examining two groups with different (speed…
Authors not listed
Machine olfaction—the artificial replication of the sense of smell—faces significant challenges due to the absence of large, standardized training datasets. Unlike vision, language, and audio models, which benefit from extensive corpora such as ImageNet, GLUE, and AudioSet, olfaction lacks scaled equivalents and…