Use of Tangential Visual Symbols to Increase the Long-Term Learning Process: Applications of Linkage in Teaching Pharmacological Principles of Addiction

2000 ◽  
Vol 40 (7) ◽  
pp. 708-712 ◽  
Author(s):  
A. James Giannini ◽  
Juliette N. Giannini ◽  
Maggie Condon
Keyword(s):  
Learning Process ◽  
Visual Symbols

Neural mechanisms of sexual imprinting

2003 ◽  
Vol 53 (2) ◽  
pp. 89-112 ◽  
Author(s):  
Hans-Joachim Bischof
Keyword(s):  
Learning Process ◽  
Sexual Partner ◽  
Time Window ◽  
Young Animal ◽  
Long Term Potentiation ◽  
Early Learning ◽  
Sexual Imprinting ◽  
Term Potentiation ◽  
The Social

Abstract Sexual imprinting is an early learning process by which a young animal acquires information which will help in choosing a sexual partner. It consists of two separate phases, an acquisition phase where features of the social environment are learnt, and a stabilisation phase in which, guided by the previously acquired social information, a preference for a sexual partner is established and stabilised, such that it cannot be altered subsequently. The stabilisation process is short and can be controlled experimentally. This review summarises research on the neural events accompanying consolidation in those brain areas which have previously been identified as important for imprinting. It shows that the period during which consolidation can occur can be shifted only within a certain time window, and demonstrates the fast adjustment of spine densities within the imprinting areas after consolidation has started. It further suggests that long term potentiation (LTP) and long term depression (LTD)-like mechanisms may be involved in this learning process, and that the immediate early genes ZENK and c-fos are expressed within the relevant imprinting areas in the course of consolidation. Evidence is presented for a prominent role of the lateral neostriatum in the imprinting process, and also for the involvement of the hippocampus in this type of early learning.

scholarly journals Kulttuurienvälinen sopeutuminen dialogisena oppimisprosessina

Prologi ◽  
2010 ◽  
Vol 6 (1) ◽  
pp. 54-59
Author(s):  
Irja Pietilä
Keyword(s):  
Learning Process ◽  
Motivational Factors ◽  
Short Term ◽  
Intercultural Adaptation

Lectio praecursoria tiedotusopin väitöskirjaksi tarkoitetun tutkimuksen Intercultural adaptation as a dialogical learning process. Motivational factors among the short-term and long-term migrants tarkastustilaisuudessa Tampereen yliopistossa 10.6.2010. Vastaväittäjänä toimi professori emerita Liisa Salo-Lee (Jyväskylän yliopisto) ja kustoksena professori emeritus Kaarle Nordenstreng.

Decision making for highway complex scenario by improved safety field with learning process

2021 ◽  
pp. 095440702110532
Author(s):  
Can Xu ◽  
Wanzhong Zhao ◽  
Jingqiang Liu ◽  
Feng Chen
Keyword(s):  
Decision Making ◽  
Learning Process ◽  
Moving Objects ◽  
Learning Algorithm ◽  
Autonomous Vehicle ◽  
Kinematic Model ◽  
Action Sequence ◽  
Decision Algorithm ◽  
The Road

To improve the agility and efficiency of the highway decision-making system and overcome the local optimal dilemma of the existing safety field, this paper builds an improved safety field to reflect the advantage of the reachable states and the learning process is further employed to make the decision long-term optimal. Firstly, the improved safety field is prepared by the kinematic model-based prediction of surrounding vehicles and the boundary is determined elaborately to ensure real-time performance. Then, the field is constructed by three individual fields. One is the kinematic field, which is built based the safe-distance model to measure the colliding risk of both moving or no-moving objects accurately. Another is the road field that reflects the lane-marker constraint. The last is the efficiency field, which is introduced creatively to improve efficiency. Furthermore, the learning algorithm is adopted to learn the long-term optimal state-action sequence in the safety field. Finally, the simulations are conducted in Prescan platform to validate the feasibility of the improved safety field in complex scenarios. The results show that the proposed decision algorithm can always drive autonomous vehicle to the state with a long-term optimal payoff and can improve the overall performance compared to the existing pure safety field and the interaction-aware method.

Affect in Statistics Cognition

2017 ◽  
pp. 144-187
Keyword(s):  
Online Learning ◽  
Cognitive Development ◽  
Learning Environments ◽  
Learning Process ◽  
Statistics Education ◽  
Short Term ◽  
Online Learning Environments ◽  
Affective Process

This chapter focuses on affective process in statistics education which could influence cognitive development. We begin with a discussion of short-term high-intense affective features (emotions) and use the most well researched construct in computer and statistics education (anxiety) to illustrate how these processes can influence learning. We then discuss long term low intense affective features (moods) and outline how moods can contribute to statistical attitudes. We argue that affective features must be continuously assessed throughout the entire learning process, and discuss theorize how online learning environments can use the principles of differentiation to enhance affect toward statistics education.

Developing a Gameful Approach as a Tool for Innovation and Teaching Quality in Higher Education

2022 ◽  
pp. 563-578
Author(s):  
Anna Sendra ◽  
Natàlia Lozano-Monterrubio ◽  
Jordi Prades-Tena ◽  
Juan Luis Gonzalo-Iglesia
Keyword(s):  
Higher Education ◽  
Mixed Methods ◽  
Learning Process ◽  
Participant Observation ◽  
Learning Experience ◽  
Teaching Quality ◽  
Working Practices ◽  
Quality In Higher Education ◽  
The Impact

This paper introduces the results of applying a gameful approach based on six playful activities as a tool to improve the learning process in higher education. A total of 850 students from different courses of Universitat Rovira i Virgili (Spain) were involved in the study. The strategy was evaluated through a participant observation (active and passive) and mixed-methods surveys answered by the students. Results point out that most participants responded positively to the activities proposed. The reported levels of motivation and engagement also indicate the capabilities of this strategy as a method to enhance the learning experience of students. Despite these positive outcomes, challenges like the impact on working practices of teachers or the long-term engagement of gameful approaches requires additional research.

Incremental Learning and Gradual Changes

2017 ◽  
pp. 1454-1487
Author(s):  
Yunita Triwardani Winarto ◽  
Kees/Cornelis Johan Stigter
Keyword(s):  
Climate Change ◽  
Learning Process ◽  
Incremental Learning ◽  
Weather Conditions ◽  
State Policies ◽  
Coping Mechanism ◽  
Climate Services ◽  
Science Field ◽  
Environmental Consequences

The environmental consequences of climate change in agriculture have been degrading farmers' livelihood and welfare because of their inability to cope with the unusual risks and livelihood crises due to climate change. However, state policies addressing farmers' needs to develop their coping mechanism towards the unusual consequences of climate change have not been defined appropriately. To continue relying on their conventional ways of farming would not effectively help them to survive in the midst of unusual weather conditions. A long-term educational commitment to improve farmers' agrometeorological learning is urgent. The authors present their inter- and trans-disciplinary collaborative works in providing climate services to farmers through Science Field Shops. Improving farmers' anticipation capability has been carried out through various means of learning. The authors describe the incremental learning process and the gradual changes the farmers in Indramayu Regency have gone through since 2010.

Mitigating Ethno-Cultural Differences

2020 ◽  
pp. 312-324
Author(s):  
Hasnain Falak ◽  
Tariq Zaman
Keyword(s):  
Community Engagement ◽  
Cultural Values ◽  
Cultural Differences ◽  
Information And Communication Technologies ◽  
Learning Process ◽  
Communication Technologies ◽  
Research Process ◽  
Cultural Norms ◽  
Information And Communication

Community engagement is necessary for the success and sustainability of Information and Communication Technologies for Development (ICT4D) projects. To ensure active participation of community, researchers need to understand and adhere to the local cultural norms and adapt in the lifestyle of people. These cultural norms are mainly unwritten and implicit in nature. Hence the researchers spend maximum time of their field visits in observing and developing understanding of the community's life. In our long-term partnership with the indigenous Penan community of Long Lamai in Malaysian Borneo, we co-developed written guidelines for researchers and visitors. The researchers demonstrated their interest in aligning research process to the community's cultural values, however norm internalisation and development of associated behaviour is still a challenging. The written guidelines are yet only one of the attempts to the practices of community researchers' engagement and we are refining our methodology to enhance the researchers' learning process.

A Bayesian Machine Learning Approach for Efficient Integrity Management of Steel Lazy Wave Risers

2020 ◽  
Author(s):  
Rasoul Hejazi ◽  
Andrew Grime ◽  
Mark Randolph ◽  
Mike Efthymiou
Keyword(s):  
Machine Learning ◽  
Fatigue Failure ◽  
Learning Process ◽  
Predictive Models ◽  
Structural Integrity ◽  
Degradation Mechanism ◽  
Data Driven ◽  
Practical Implementation ◽  
Integrity Management

Abstract In-service integrity management (IM) of steel lazy wave risers (SLWRs) can benefit significantly from quantitative assessment of the overall risk of system failure as it can provide an effective tool for decision making. SLWRs are prone to fatigue failure within their touchdown zone (TDZ). This failure mode needs to be evaluated rigorously in riser IM processes because fatigue is an ongoing degradation mechanism threatening the structural integrity of risers throughout their service life. However, accurately evaluating the probability of fatigue failure for riser systems within a useful time frame is challenging due to the need to run a large number of nonlinear, dynamic numerical time domain simulations. Applying the Bayesian framework for machine learning, through the use of Gaussian Processes (GP) for regression, offers an attractive solution to overcome the burden of prohibitive simulation run times. GPs are stochastic, data-driven predictive models which incorporate the underlying physics of the problem in the learning process, and facilitate rapid probabilistic assessments with limited loss in accuracy. This paper proposes an efficient framework for practical implementation of a GP to create predictive models for the estimation of fatigue responses at SLWR hotspots. Such models are able to perform stochastic response prediction within a few milliseconds, thus enabling rapid prediction of the probability of SLWR fatigue failure. A realistic North West Shelf (NWS) case study is used to demonstrate the framework, comprising a 20” SLWR connected to a representative floating facility located in 950 m water depth. A full hindcast metocean dataset with associated statistical distributions are used for the riser long-term fatigue loading conditions. Numerical simulation and sampling techniques are adopted to generate a simulation-based dataset for training the data-driven model. In addition, a recently developed dimensionality reduction technique is employed to improve efficiency and reduce complexity of the learning process. The results show that the stochastic predictive models developed by the suggested framework can predict the long-term TDZ fatigue damage of SLWRs due to vessel motions with an acceptable level of accuracy for practical purposes.

Style-Dependency of Melodic Expectation

2015 ◽  
Vol 33 (1) ◽  
pp. 110-128 ◽  
Author(s):  
Zuzana Cenkerová ◽  
Richard Parncutt
Keyword(s):  
Learning Process ◽  
Auditory Scene Analysis ◽  
Scene Analysis ◽  
Top Down ◽  
Bottom Up ◽  
Gestalt Principles ◽  
Auditory Scene ◽  
Similar Organization ◽  
Melodic Expectation

In theories of auditory scene analysis and melodic implication/realization, melodic expectation results from an interaction between top-down processes (assumed to be learned and schema-based) and bottom-up processes (assumed innate, based on Gestalt principles). If principles of melodic expectation are partly acquired, it should be possible to manipulate them – to condition listeners' expectations. In this study, the resistance of three bottom-up expectation principles to learning was tested experimentally. In Experiment 1, expectations for stepwise motion (pitch proximity) were manipulated by conditioning listeners to large melodic leaps; preference for small intervals was reduced after a brief exposure. In Experiment 2, expectations for leaps to rise and steps to fall (step declination) were manipulated by exposing listeners to melodies comprising rising steps and falling leaps; this reduced preferences for descending seconds and thirds. Experiment 3 did not find and hence failed to alter the expectation for small intervals to be followed by an interval in the same direction (step inertia). The results support the theory that bottom-up principles of melodic perception are partly learned from exposure to pitch patterns in music. The long-term learning process could be reinforced by exposure to speech based on similar organization principles.

scholarly journals BUDAYA DISIPLIN DAN TA’ZIR SANTRI DI PONDOK PESANTREN

2018 ◽  
Vol 10 (1) ◽  
pp. 29-57
Author(s):  
Abdurahman Abdurahman
Keyword(s):  
Behavior Change ◽  
Learning Process ◽  
Teaching And Learning ◽  
Influence Factor ◽  
Boarding School ◽  
Self Control ◽  
Student Needs ◽  
Near Term

The discipline of student needs to be sought to support the success of teaching and learning process in Boarding School. Therefore, Boarding school needs to seek situation and condition that can help student in developing self-discipline. The purpose of this study is to determine the culture of students discipline at boarding school. This article shows that the discipline of student is grown from several factors including: 1) innate factors; 2) awareness factor; 3) interest factors; and 4) the influence factor of mindset. Discipline deals with the process of changing the behavior. As for some things that can change the behavior of the students are: the rules of boarding school and the application of punishment for behavior change. The purpose of discipline coaching is two things: the near and the long term. The near-term goal of disciplinary coaching is to get children trained and controlled, by teaching them appropriate forms of behavior. While the long-term goal is the development of self-control and self-direction, where children can direct themselves, without outside influence. Self-control means mastering self-behavior with guided clear norms, standards, and rules that are self-owned.

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