scholarly journals Improving Learning Performance with Happiness by Interactive Scenarios

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Chi-Hung Chuang ◽  
Ying-Nong Chen ◽  
Luo-Wei Tsai ◽  
Chun-Chieh Lee ◽  
Hsin-Chun Tsai
Keyword(s):  
Somatosensory System ◽  
Learning System ◽  
Experimental Results ◽  
Learning Ability ◽  
Learning Performance ◽  
Game Playing ◽  
Digital Learning ◽  
Puzzle Games ◽  
Interactive Operations

Recently, digital learning has attracted a lot of researchers to improve the problems of learning carelessness, low learning ability, lack of concentration, and difficulties in comprehending the logic of math. In this study, a digital learning system based on Kinect somatosensory system is proposed to make children and teenagers happily learn in the course of the games and improve the learning performance. We propose two interactive geometry and puzzle games. The proposed somatosensory games can make learners feel curious and raise their motivation to find solutions for boring problems via abundant physical expressions and interactive operations. The players are asked to select particular operation by gestures and physical expressions within a certain time. By doing so, the learners can feel the fun of game playing and train their logic ability before they are aware. Experimental results demonstrate that the proposed somatosensory system can effectively improve the students’ learning performance.

Enhancing the Credibility of the Decision-Making Journey Through Serious Games Learning Analytics

2019 ◽  
pp. 29-46
Author(s):  
Louis Doru Havriliuc ◽  
Gianita Bleoju ◽  
Alexandru Capatina
Keyword(s):  
Decision Making ◽  
Learning Analytics ◽  
Learning Experience ◽  
Learning System ◽  
Learning Performance ◽  
Digital Marketing ◽  
Simulation Game ◽  
Digital Learning ◽  
Simulated Learning ◽  
Business Conditions

This chapter proposes a specific learning system and a combined method to devise the learning analytics component as an envisioned solution to inform the development of other digital learning resources which are built for meeting specific, predefined learning objectives. The authors acknowledge the critical challenges of distinguishing between decision making and decision taking on the outcomes of learning. The ambition is to assess learning performance by means of unstructured interviews with participants using a digital marketing simulation game and how this has helped them attain job success working on real digital marketing projects. The authors expect that the consequences of decisions taken on real or realistic business conditions provided by a simulated learning environment should enrich the learning experience with insights (influences, constructs, and variables), unstructured knowledge representation, and rule-based decisions that learners will utilize and be alert and react to in real markets.

scholarly journals No sex differences in learning in wild bumblebees

2021 ◽  
Author(s):  
Felicity Muth ◽  
Amber D Tripodi ◽  
Rene Bonilla ◽  
James P Strange ◽  
Anne S Leonard
Keyword(s):  
Sex Differences ◽  
Associative Learning ◽  
Sierra Nevada ◽  
Comparative Cognition ◽  
Natural Populations ◽  
Interspecific Variation ◽  
Learning Task ◽  
Learning Ability ◽  
Learning Performance ◽  
Males And Females

Abstract Females and males often face different sources of selection, resulting in dimorphism in morphological, physiological, and even cognitive traits. Sex differences are often studied in respect to spatial cognition, yet the different ecological roles of males and females might shape cognition in multiple ways. For example, in dietary generalist bumblebees (Bombus), the ability to learn associations is critical to female workers, who face informationally rich foraging scenarios as they collect nectar and pollen from thousands of flowers over a period of weeks to months to feed the colony. While male bumblebees likely need to learn associations as well, they only forage for themselves while searching for potential mates. It is thus less clear whether foraging males would benefit from the same associative learning performance as foraging females. In this system, as in others, cognitive performance is typically studied in lab-reared animals under captive conditions, which may not be representative of patterns in the wild. In the first test of sex and species differences in cognition using wild bumblebees, we compared the performance of Bombus vancouverensis nearcticus (formerly bifarius) and Bombus vosnesenskii of both sexes on an associative learning task at Sierra Nevada (CA) field sites. Across both species, we found that males and females did not differ in their ability to learn, although males were slower to respond to the sucrose reward. These results offer the first evidence from natural populations that male bumblebees may be equally as able to learn associations as females, supporting findings from captive colonies of commercial bees. The observed interspecific variation in learning ability opens the door to using the Bombus system to test hypotheses about comparative cognition.

New Supervised Learning Theory Applied to Cerebellar Modeling for Suppression of Variability of Saccade End Points

2013 ◽  
Vol 25 (6) ◽  
pp. 1440-1471 ◽  
Author(s):  
Masahiko Fujita
Keyword(s):  
Supervised Learning ◽  
Cerebellar Cortex ◽  
Learning Theory ◽  
Learning System ◽  
Learning Ability ◽  
Motor Center ◽  
End Points ◽  
Noise Effects ◽  
End Point ◽  
Control Scheme

A new supervised learning theory is proposed for a hierarchical neural network with a single hidden layer of threshold units, which can approximate any continuous transformation, and applied to a cerebellar function to suppress the end-point variability of saccades. In motor systems, feedback control can reduce noise effects if the noise is added in a pathway from a motor center to a peripheral effector; however, it cannot reduce noise effects if the noise is generated in the motor center itself: a new control scheme is necessary for such noise. The cerebellar cortex is well known as a supervised learning system, and a novel theory of cerebellar cortical function developed in this study can explain the capability of the cerebellum to feedforwardly reduce noise effects, such as end-point variability of saccades. This theory assumes that a Golgi-granule cell system can encode the strength of a mossy fiber input as the state of neuronal activity of parallel fibers. By combining these parallel fiber signals with appropriate connection weights to produce a Purkinje cell output, an arbitrary continuous input-output relationship can be obtained. By incorporating such flexible computation and learning ability in a process of saccadic gain adaptation, a new control scheme in which the cerebellar cortex feedforwardly suppresses the end-point variability when it detects a variation in saccadic commands can be devised. Computer simulation confirmed the efficiency of such learning and showed a reduction in the variability of saccadic end points, similar to results obtained from experimental data.

scholarly journals Mobile English Teaching System Based on Adaptive Algorithm

2018 ◽  
Vol 13 (08) ◽  
pp. 64 ◽  
Author(s):  
Xing Zhao
Keyword(s):  
Adaptive Algorithm ◽  
Learning System ◽  
Learning Ability ◽  
English Learning ◽  
Learning Space ◽  
Teaching System ◽  
English Teaching ◽  
Three Layer Architecture ◽  
Hypermedia Model ◽  
Feedback Module

To improve the students’ individualized and autonomous learning ability in English teaching, a mobile English learning system is designed on the basis of adaptive algorithm. The students’ need for the adaptive mobile English teaching system is analyzed through researches on students and questionnaires. According to the needs analysis, the main functional modules of the adaptive mobile English learning system are designed, including the creation module, personalized learning module, evaluation and feedback module, and management module. Then, the improved XAHM (XML adaptive hypermedia model) is applied to the mobile English learning system. The three-layer architecture of the English mobile learning system is revised into four layers of composition layer, data layer, business logic layer and presentation layer. At the same time, more attention is diverted to the terminal and the situation. Finally, the system is tested. The test results showed that the mobile English learning system realized the self-adaptive and intelligent navigation of learning space in the course of teaching. It is concluded that the new adaptive algorithm had a good performance for college English learning.

Some Behavioral Differences in Mice Genetically Selected for High and Low Brain Weight

1966 ◽  
Vol 19 (3) ◽  
pp. 675-681 ◽  
Author(s):  
Cynthia Wimer ◽  
Lee Prater
Keyword(s):  
Locomotor Activity ◽  
Water Maze ◽  
Brain Size ◽  
Genetic Selection ◽  
Brain Weight ◽  
Learning Ability ◽  
Learning Performance ◽  
Behavioral Differences ◽  
Total Brain ◽  
High Selection

Learning ability, exploratory behavior, and emotionality were measured in mice genetically selected for high and low total brain weight. The high selection lines scored significantly higher than the low lines in locomotor activity in the open field and discrimination learning performance in a water maze, and these findings were supported by correlations between brain weight and behavioral scores within unselected control lines. There is some evidence that these behavioral differences are associated with general changes in brain size produced by genetic selection.

scholarly journals Blended Learning Innovation Model among College Students Based on Internet

2018 ◽  
Vol 13 (10) ◽  
pp. 158
Author(s):  
Jia Zhang
Keyword(s):  
Blended Learning ◽  
Preliminary Investigation ◽  
Learning Model ◽  
Learning Ability ◽  
Learning Performance ◽  
Specific Situation ◽  
Teaching Mode ◽  
Network Teaching ◽  
Self Evaluation ◽  
Innovation Model

In general, over 70% of students can adapt to this blended learning model after experiencing the blended learning model for some time, which can satisfy the in-dividual differences of students in a better way, attain some assistance from it and help to improve learning performance and learning ability. It can be discovered from this research that the blended learning model is superior to the single and traditional teaching mode or the pure network teaching mode in the aspects of in-spiring the learning interest of students, exercising self-management capability of students and self-evaluation ability. It can be seen from the specific situation of investigation data that it is feasible to implement the blended learning model in colleges and universities even though the overall level of students’ ability in the blended learning is low. As this is a preliminary investigation into the blended learning model, specific solutions or strategies have not been provided for some problems. However, it is believed to achieve greater effects if the research is con-tinued on the practice.

scholarly journals POSSIBILITIES OF DEVELOPING INTERACTIVE E-LEARNING SYSTEM FOR BORDER GUARDS TRAINING IN THE STATE BORDER GUARD COLLEGE OF THE REPUBLIC OF LATVIA

2020 ◽  
Vol 3 (8) ◽  
pp. 45-53
Author(s):  
Mārtiņš Spridzāns ◽  
Jans Pavlovičs ◽  
Diāna Soboļeva
Keyword(s):  
Scientific Literature ◽  
Online Communication ◽  
The State ◽  
Learning Systems ◽  
Learning System ◽  
Digital Learning ◽  
E Learning ◽  
Research Findings ◽  
The Republic ◽  
Learning Development

Efficient use of educational technology and digital learning possibilities has always been the strategic area of high importance in border guards training at the State Border Guard College of Latvia. Recently, issues related to training during the Covid-19, have spurred and revived the discussion, topicality and practical need to use the potential of e-learning opportunities which brought up unexpected, additional, previously unsolved, unexplored, challenges and tasks to border guards training. New opportunities and challenges for trainers, learners and administration of training process both in online communication and learning administration contexts. In order to find out and define further e-learning development possibilities at the State Border Guard College the authors of this research explore the scientific literature on the current research findings, methodologies, approaches on developing interactive e-learning systems in educational contexts, particularly within the sphere of law enforcement. Based on scientific literature research findings authors put forward suggestions on improving the e-learning systems for border guards training.

Use of a sonification system for science learning by people who are blind

2016 ◽  
Vol 10 (4) ◽  
pp. 187-198 ◽  
Author(s):  
Orly Lahav ◽  
Nuha Chagab ◽  
Vadim Talis
Keyword(s):  
Complex Systems ◽  
Conceptual Knowledge ◽  
Science Curriculum ◽  
Low Cost ◽  
Agent Based Modeling ◽  
Learning System ◽  
Learning Ability ◽  
Content Type ◽  
Agent Based ◽  
K 12

Purpose The purpose of this paper is to examine a central need of students who are blind: the ability to access science curriculum content. Design/methodology/approach Agent-based modeling is a relatively new computational modeling paradigm that models complex dynamic systems. NetLogo is a widely used agent-based modeling language that enables exploration and construction of models of complex systems by programming and running the rules and behaviors. Sonification of variables and events in an agent-based NetLogo computer model of gas in a container is used to convey phenomena information. This study examined mainly two research topics: the scientific conceptual knowledge and systems reasoning that were learned as a result of interaction with the listen-to-complexity (L2C) environment as appeared in answers to the pre- and post-tests and the learning topics of kinetic molecular theory of gas in chemistry that was learned as a result of interaction with the L2C environment. The case study research focused on A., a woman who is adventitiously blind, for eight sessions. Findings The participant successfully completed all curricular assignments; her scientific conceptual knowledge and systems reasoning became more specific and aligned with scientific knowledge. Practical implications A practical implication of further studies is that they are likely to have an impact on the accessibility of learning materials, especially in science education for students who are blind, as equal access to low-cost learning environments that are equivalent to those used by sighted users would support their inclusion in the K-12 academic curriculum. Originality/value The innovative and low-cost learning system that is used in this research is based on transmittal of visual information of dynamic and complex systems, providing perceptual compensation by harnessing auditory feedback. For the first time the L2C system is based on sound that represents a dynamic rather than a static array. In this study, the authors explore how a combination of several auditory representations may affect cognitive learning ability.

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