scholarly journals Finding formulas: Does active search facilitate appropriate generalization?

Author(s):  
Nicole R. Hallinen ◽  
Lauren N. Sprague ◽  
Kristen P. Blair ◽  
Rebecca M. Adler ◽  
Nora S. Newcombe

Abstract Background One criterion of adaptive learning is appropriate generalization to new instances based on the original learning context and avoiding overgeneralization. Appropriate generalization requires understanding what features of a solution are applicable in a new context and whether the new context requires modifications or a new approach. In a series of three experiments, we investigate whether searching for an algebraic formalism before receiving direct instruction facilitates appropriate generalization. Results (1) Searching buffers against negative transfer: participants who first searched for an equation were less likely to overgeneralize compared to participants who completed a tell-and-practice activity. (2) Likelihood of creating a correct new adaptation varied by performance on the searching task. (3) Asking people to sketch alleviated some of the negative effects of tell-and-practice, but sketching did not augment the effect of searching. (4) When participants received more elaborate tell-and-practice instruction, the advantages of searching were less notable. Conclusions Searching for an algebraic formula prior to direct instruction may be a productive way to help learners connect a formula to its referent and avoid overgeneralization. Tell-and-practice instruction that only described the mathematical procedures led to the greatest levels of overgeneralization errors and worst performance. Tell-and-practice instruction that highlighted connections between the mathematical structure of the formula and the visual referent performed at similar or marginally worse levels than the search-first conditions.

2020 ◽  
Vol 17 (2) ◽  
pp. 229-247
Author(s):  
Zhanni Luo ◽  
Billy O'Steen ◽  
Cheryl Brown

Purpose To build adaptive learning systems for a better learning experience, designers need to identify users’ behaviour patterns and provide adaptive learning materials accordingly. This study involved a quasi-experiment and also this paper aims to investigate the accuracy of eye-tracking technology in identifying visualisers and verbalisers and the contributing factors to diverse levels of accuracy, which lays the foundation for the establishment of adaptive learning systems. Design/methodology/approach The authors prepared eight documents with different image-text combinations with the intention of triggering participants’ natural reading habits. By analysing the eye-movement data, this author categorised the 22 participants as visualisers or verbalisers. The results were compared for accuracy measure with participants’ self-reports in response to the index of learning style questionnaire. Findings The results showed that visualisers and verbalisers presented significantly different eye-movement patterns, which was confirmed by the fixation data from the Tobii eye-tracker with the detection accuracy ranged from 38% to 77%. Various factors contributed to a range of levels of accuracy, including highlighted elements, learning context, complex background, low relevance of images and texts, learner differences, awareness of experimental settings, self-conception and prior knowledge. Originality/value To the authors’ knowledge, this is the first paper investigating the feasibility of eye-tracking technology to identify visualisers and verbalisers for the development of adaptive learning systems.


Author(s):  
Akihiro Kubota ◽  
Hirokazu Hori ◽  
Makoto Naruse ◽  
Fuminori Akiba

This paper proposes a new approach to investigation into the aesthetics. Specifically, it argues that it is possible to explain the aesthetic and its underlying dynamic relations with axiomatic structure (the octahedral axiom derived category) based on contemporary mathematics – namely, category theory – and through this argument suggests the possibility for discussion about the mathematical structure of the aesthetic. If there was a way to describe the structure of aesthetics with the language of mathematical structures and mathematical axioms – a language completely devoid of arbitrariness – then we would make possible a synthetical argument about the essential human activity of “the aesthetics”, and we would also gain a new method and viewpoint on the philosophy and meaning of the act of creating a work of art and artistic activities. This paper presents one hypothesis as a first step in constructing the science of dynamic generative aesthetics based on axiomatic functionalism, which is in turn based on a new interdisciplinary investigation into the functional structure of aesthetics.


Fractals ◽  
2020 ◽  
Vol 28 (08) ◽  
pp. 2040010 ◽  
Author(s):  
SHAHER MOMANI ◽  
BANAN MAAYAH ◽  
OMAR ABU ARQUB

The aim of this paper is to propose the Atangana–Baleanu fractional methodology for fathoming the Van der Pol damping model by using the reproducing kernel algorithm. To this end, we discuss the mathematical structure of this new approach and some other numerical properties of solutions. Furthermore, all needed requirements for characterizing solutions by applying the reproducing kernel algorithm are debated. In this orientation, modern trend and new computational algorithm in terms of analytic and approximate Atangana–Baleanu fractional solutions are proposed. Finally, numerical simulations in fractional emotion is constructed one next to the other with tabulated data and graphical portrayals.


Author(s):  
Yeon Soon Shin ◽  
Rolando Masís-Obando ◽  
Neggin Keshavarzian ◽  
Riya Dáve ◽  
Kenneth A. Norman

AbstractThe context-dependent memory effect, in which memory for an item is better when the retrieval context matches the original learning context, has proved to be difficult to reproduce in a laboratory setting. In an effort to identify a set of features that generate a robust context-dependent memory effect, we developed a paradigm in virtual reality using two semantically distinct virtual contexts: underwater and Mars environments, each with a separate body of knowledge (schema) associated with it. We show that items are better recalled when retrieved in the same context as the study context; we also show that the size of the effect is larger for items deemed context-relevant at encoding, suggesting that context-dependent memory effects may depend on items being integrated into an active schema.


Author(s):  
Michael Laver ◽  
Ernest Sergenti

This chapter begins with a brief discussion of the need for a new approach to modeling party competition. It then makes a case for the use of agent-based modeling to study multiparty competition in an evolving dynamic party system, given the analytical intractability of the decision-making environment, and the resulting need for real politicians to rely on informal decision rules. Agent-based models (ABMs) are “bottom-up” models that typically assume settings with a fairly large number of autonomous decision-making agents. Each agent uses some well-specified decision rule to choose actions, and there may be considerable diversity in the decision rules used by different agents. Given the analytical intractability of the decision-making environment, the decision rules that are specified and investigated in ABMs are typically based on adaptive learning rather than forward-looking strategic analysis, and agents are assumed to have bounded rather than perfect rationality. An overview of the subsequent chapters is also presented.


2018 ◽  
Vol 30 (5) ◽  
pp. 315-334 ◽  
Author(s):  
Rob F. Poell ◽  
Henriette Lundgren ◽  
April Bang ◽  
Sean B. Justice ◽  
Victoria J. Marsick ◽  
...  

Purpose Employees are increasingly expected to organize their own human resource development activities. To what extent and how exactly employees in various organizational contexts manage to shape their individual learning paths however remains largely unclear. The purpose of this present study is to explore, leaning on the empirical Learning-Network Theory (LNT) research and its findings, how employees in different occupations create learning paths that are attuned to their specific work context. Design/methodology/approach The paper reviews 23 MSc theses based on 14 distinct data sets collected between 2005 and 2015, containing approximately 1,484 employees from some 45 organizations and across various professions. The teachers, nurses, postal, software, telecom, railway and logistics company employees were mostly based in the Netherlands. The analysis focuses on learning-path types and learning-path strategies found in the 23 studies. Findings Motives, themes, activities, social contexts and facilities were found to be instrumental in explaining differences among individual learning paths. A total of 34 original learning-path types and strategies were found to cluster under 12 higher-order labels. Some of these were based on learning motive, some on learning theme, some on core learning activities, some on social learning context and a few on a combination of these elements. Overall, the socially oriented learning-path strategy was the most prevalent, as it was found among nurses, employees of software/postal/telecom, railway and logistics company employees, as well as teachers in two schools. Originality/value The paper presents the first overview of empirical studies on employee learning path(s) (strategies). In addition, it strengthens the empirical basis of the LNT.


2021 ◽  
Vol 1 ◽  
pp. 1967-1976
Author(s):  
Christoph Rennpferdt ◽  
Dieter Krause

AbstractProduct Service Systems (PSS) are increasingly important for companies. They enable a multitude of advantages, including the ability to offer customers even more individual customised solutions. However, PSS can also cause negative effects for companies. For example, PSS increase the complexity within companies. In order to cope with this complexity, the modularisation of PSS is frequently suggested in literature. However, existing approaches for modularisation only consider functional reasons for module composition and neglect the product-strategic aspects. This paper introduces a new approach for the modularisation of PSS, which combines functional and product-strategic aspects into one approach. To achieve this, a separate modular structure is developed for each life phase. Following this, these are harmonised across all life phases. This enables the advantages of the modular PSS structure to be used in all life phases. A PSS family of laser processing machines is used to illustrate the new developed approach.


2020 ◽  
Vol 5 (3) ◽  
pp. 099-108
Author(s):  
Anoir Lamya ◽  
Zargane Kawtar ◽  
Erradi Mohamed ◽  
Khaldi Mohamed

The personalization of learning remains a very important subject in research particularly with the progression of technology, it refers to a pedagogical approach that is located in an intermediate space where teaching and learning come together with devices personalized and adapted training courses for the different learner profiles in a social learning context. We offer a general approach to the personalization of teaching scenarios during the different types of teaching activities and taking consideration the learning styles of the learners and based on the Kolb learning style model. Our research work aimed at developing a personalized and adaptive learning system to meet the needs of learners and adequate with their preferences and profiles all throughout the learning process offered by the system by making a correspondence with the suitable pedagogical scenario with each profile and each activity.


Aerospace ◽  
2003 ◽  
Author(s):  
Jun-Sik Kim ◽  
K. W. Wang ◽  
Edward C. Smith

In this research, a new approach is proposed to enhance the effectiveness of piezoelectric actuators without the trade off between force and stroke. Through mechanical tailoring, the resonant frequencies of the actuation system (includes the piezoelectric actuator and the related mechanical and the electrical elements for actuation) can be tuned to the required actuation frequencies. This obvious will increase the authority (both stroke and force) of the actuation system. However, resonant actuation system could be hard to control and non-robust, due to its narrow operating bandwidth. This issue can be resolved through electric circuit tailoring. With the aid of a network of inductance, resistance, and negative capacitance, the actuation resonant peak can be significantly broadened and flattened. In this case, one can achieve a high authority actuation system without the negative effects of resonant problems. The electrical networks can also a achieve a fail-safe system due to its passive shunting characteristic. The proposed concept is evaluated using a PZT tube actuator for trailing edge flap control of rotocraft blades. Promising results are demonstrated, showing that the treatment can indeed create a high authority and robust actuation system that satisfies the performance requirements of the example application. Also, the proposed concept is verified by experiments using an equivalent circuit model with synthetic inductor and negative impedance converter of capacitance.


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