Contextual Learning and Memory Retention

2010 ◽  
pp. 309-320 ◽  
Author(s):  
David Metcalf ◽  
David Rogers
Keyword(s):  
Blended Learning ◽  
Learning Environments ◽  
Mobile Devices ◽  
Near Field ◽  
Relevant Information ◽  
Contextual Learning ◽  
Learning Objectives ◽  
Memory Retention ◽  
First Case ◽  
And Performance

An important part of multiplatform or blended learning is designing learning environments that take full advantage of the relative strengths and weakness of the various platforms employed to meet learning objectives. The desktop has strengths that are conducive to immersive learning environments, whereas mobile devices excel in contextual learning and performance support roles. Blended learning then, is not merely porting the same content from one platform to another, but recognizing the need for unique implementations. This chapter will examine two general applications in which mobile learning takes advantage of the flexibility afforded by the platform. In the first case we will explore the possibilities presented by physical hyperlinks through the use of Near Field Communications, QR codes, and image recognition software. In addition to providing contextually relevant information, the mobile platform is ideal for providing enhanced conceptual retention. The Spacing Effect demonstrates that memory decays according to a well-defined logarithmic curve. Once this curve has been optimized for an individual, it is possible to determine the most productive times to review learning objectives. Mobile devices are theperfect platform to review material initially mastered on a desktop or in a classroom, and these scheduled sessions can boost retention times dramatically. Contextual Learning and Enhanced Retention are two applications that cater to the strengths of mobile devices, and augment a holistic multiplatform approach to learning.

scholarly journals IDA-Pay: a secure and efficient micro-payment system based on Peer-to-Peer NFC technology for Android mobile devices

2012 ◽  
Vol 8 (4) ◽  
pp. 117 ◽  
Author(s):  
Luca Mainetti ◽  
Luigi Patrono ◽  
Roberto Vergallo
Keyword(s):  
Mobile Devices ◽  
Near Field ◽  
Operating Mode ◽  
Peer To Peer ◽  
Payment System ◽  
Third Party ◽  
Payment Systems ◽  
Shopping Experience ◽  
And Performance ◽  
System Effectiveness

The evolution of modern mobile devices towards novel Radio Frequency (RF) capabilities, such as Near Field Communication, leads to a potential for delivering innovative mobile services, which is still partially unexplored. Mobile proximity payment systems are going to enhance the daily shopping experience, but the access to payment security resources of a mobile device (e.g. the “Secure Element”) by third party applications is still blocked by smartphone and Operating System manufacturers. In this paper, the IDA-Pay system is presented, an innovative and secure NFC micro-payment system based on Peer-to-Peer NFC operating mode for Android mobile phones. It allows to deliver mobile-to-POS micro-payment services, bypassing the need for special hardware. A validation scenario and a system evaluation are also reported to demonstrate the system effectiveness and performance.

Teacher Conceptions and Approaches to Blended Learning Environments

2018 ◽  
pp. 974-997
Author(s):  
Vicki Caravias
Keyword(s):  
Higher Education ◽  
Blended Learning ◽  
Learning Environments ◽  
Learning Objectives ◽  
Institutional Research ◽  
Teacher Conceptions ◽  
Research Results ◽  
Teaching In Higher Education ◽  
Resource Support

This chapter provides Australian perspectives on blended learning. An overview of the ways in which the concept of blended learning is interpreted in the Australian higher education is presented. This is followed by a discussion of the results of research carried out at one Australian University about teachers' conceptions on blended learning and their approaches to design and teaching in higher education. On the basis of twelve interviews with teachers, some important factors are analyzed pertaining to pedagogical, technological, interface, evaluation dimensions as well as resource support, management, ethical and institutional. Research results indicate that teachers consider their subject's learning objectives and apply the technologies and approaches that will work best for their students following the eight dimensions of blended learning environments.

Teacher Conceptions and Approaches to Blended Learning Environments

2016 ◽  
pp. 56-79
Author(s):  
Vicki Caravias
Keyword(s):  
Higher Education ◽  
Blended Learning ◽  
Learning Environments ◽  
Learning Objectives ◽  
Institutional Research ◽  
Teacher Conceptions ◽  
Research Results ◽  
Teaching In Higher Education ◽  
Resource Support

This chapter provides Australian perspectives on blended learning. An overview of the ways in which the concept of blended learning is interpreted in the Australian higher education is presented. This is followed by a discussion of the results of research carried out at one Australian University about teachers' conceptions on blended learning and their approaches to design and teaching in higher education. On the basis of twelve interviews with teachers, some important factors are analyzed pertaining to pedagogical, technological, interface, evaluation dimensions as well as resource support, management, ethical and institutional. Research results indicate that teachers consider their subject's learning objectives and apply the technologies and approaches that will work best for their students following the eight dimensions of blended learning environments.

Blast Furnace In Engineering Education

2014 ◽  
Vol 1 (1) ◽  
pp. 127-130 ◽  
Author(s):  
Valentin Petrescu ◽  
Florian Popescu ◽  
Alina Gligor
Keyword(s):  
Blast Furnace ◽  
Human Computer Interaction ◽  
Blended Learning ◽  
Engineering Education ◽  
Learning Environments ◽  
Learning Method ◽  
Quality Of Presentation ◽  
Computer Interaction

AbstractUsing blended learning method, Blast Furnace subject was analysed inside the DidaTec Project. The analysed factors were the quality of presentation, quantity of information per page and human – computer interaction. The analysis shows the preference of students to work with different learning environments.

COVID-19 Related Web Search Behaviors: An Analytical Study of Google Trends-based Query Volumes in Indonesia (Preprint)

2020 ◽  
Author(s):  
Vita Widyasari ◽  
Karisma Trinanda Putra ◽  
Jiun-Yi Wang
Keyword(s):  
Web Search ◽  
Public Awareness ◽  
Relevant Information ◽  
Community Response ◽  
Google Trends ◽  
P Value ◽  
Basic Information ◽  
First Case ◽  
The Government ◽  
Economic Anxiety

BACKGROUND The volume of search keywords on Google can be used as a reference to an ongoing online trend during COVID-19 pandemic. OBJECTIVE This study was aimed to estimate the responsiveness and public awareness in early days of the COVID-19 outbreak in Indonesia using Google Trends relative search volumes (RSV). METHODS Sixty terms or keywords forming six topics included in the analysis were basic information, prevention, government policy, socio-economic, anxiety, and other issues related to COVID-19. All these keywords were checked for surveillance purposes between January 1 and May 4, 2020. The Python programming language was used for data mining from Google Trends databases. Correlation analysis was conducted to examine the correlations between the incidence of COVID-19 and the search terms. RESULTS Community response and awareness in the six topics were associated with the number of COVID-19 cases (r range between 0.570-0.825, P-value<.005). Before the first case announced in Indonesian, the prominent topics were basic information and other issues. One month after the first case, all topics experienced an increase in RSV. In the phase of outbreak, socio-economic and anxiety got much more attentions. CONCLUSIONS The government should consider to optimize the internet as a media for timely delivering most relevant information and dynamically respond massive queries, and improve health communications to increase public awareness and intention to prevent the disease.

scholarly journals Mobility-Included DNN Partition Offloading from Mobile Devices to Edge Clouds

Sensors ◽  
2021 ◽  
Vol 21 (1) ◽  
pp. 229
Author(s):  
Xianzhong Tian ◽  
Juan Zhu ◽  
Ting Xu ◽  
Yanjun Li
Keyword(s):  
Neural Networks ◽  
Energy Consumption ◽  
Mobile Devices ◽  
Wireless Network ◽  
Deep Neural Networks ◽  
Mobile User ◽  
Computation Offloading ◽  
Long Latency ◽  
Total Latency ◽  
And Performance

The latest results in Deep Neural Networks (DNNs) have greatly improved the accuracy and performance of a variety of intelligent applications. However, running such computation-intensive DNN-based applications on resource-constrained mobile devices definitely leads to long latency and huge energy consumption. The traditional way is performing DNNs in the central cloud, but it requires significant amounts of data to be transferred to the cloud over the wireless network and also results in long latency. To solve this problem, offloading partial DNN computation to edge clouds has been proposed, to realize the collaborative execution between mobile devices and edge clouds. In addition, the mobility of mobile devices is easily to cause the computation offloading failure. In this paper, we develop a mobility-included DNN partition offloading algorithm (MDPO) to adapt to user’s mobility. The objective of MDPO is minimizing the total latency of completing a DNN job when the mobile user is moving. The MDPO algorithm is suitable for both DNNs with chain topology and graphic topology. We evaluate the performance of our proposed MDPO compared to local-only execution and edge-only execution, experiments show that MDPO significantly reduces the total latency and improves the performance of DNN, and MDPO can adjust well to different network conditions.

scholarly journals Smartphone-Enabled Personalized Diagnostics: Current Status and Future Prospects

Diagnostics ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 1067
Author(s):  
Karla Jaimes Merazzo ◽  
Joseba Totoricaguena-Gorriño ◽  
Eduardo Fernández-Martín ◽  
F. Javier del Campo ◽  
Eva Baldrich
Keyword(s):  
Mobile Devices ◽  
Point Of Care ◽  
Near Field ◽  
Short Review ◽  
Magnetic Sensors ◽  
Current Status ◽  
Wireless Power ◽  
Communication Devices ◽  
New Applications ◽  
The Internet Of Things

Smartphones are becoming increasingly versatile thanks to the wide variety of sensor and actuator systems packed in them. Mobile devices today go well beyond their original purpose as communication devices, and this enables important new applications, ranging from augmented reality to the Internet of Things. Personalized diagnostics is one of the areas where mobile devices can have the greatest impact. Hitherto, the camera and communication abilities of these devices have been barely exploited for point of care (POC) purposes. This short review covers the recent evolution of mobile devices in the area of POC diagnostics and puts forward some ideas that may facilitate the development of more advanced applications and devices in the area of personalized diagnostics. With this purpose, the potential exploitation of wireless power and actuation of sensors and biosensors using near field communication (NFC), the use of the screen as a light source for actuation and spectroscopic analysis, using the haptic module to enhance mass transport in micro volumes, and the use of magnetic sensors are discussed.

Learning Environments: A Review of Physical and Temporal Factors

1983 ◽  
Vol 4 (2) ◽  
pp. 90-115 ◽  
Author(s):  
Sydney S. Zentall
Keyword(s):  
Learning Environments ◽  
Environmental Variables ◽  
Information Sources ◽  
Classroom Performance ◽  
Exceptional Children ◽  
Normal Children ◽  
Color Noise ◽  
Environmental Stimulation ◽  
And Performance ◽  
The Impact

A theoretical integration of research concerned with environmental variables and their effects on students’ behavior and performance is presented. The impact of classroom stimuli, such as novelty, color, noise, proximity to teacher and peers on both normal and exceptional children is reviewed. The relation between these sources of classroom stimulation and information sources (i.e., type of task and access to material, person, and role resources) is also discussed. Large deviations from optimal levels of environmental stimulation, which more often occur for exceptional than for normal children, will produce attentional and activity disruptions sufficient to interfere with classroom performance and social interaction.

Relationships between Learning Styles and Performance on Problem-Solving Tasks

1986 ◽  
Vol 59 (3) ◽  
pp. 1135-1138 ◽  
Author(s):  
Penny Armstrong ◽  
Ernest McDaniel
Keyword(s):  
College Students ◽  
Problem Solving ◽  
Learning Styles ◽  
Learning Style ◽  
Choice Point ◽  
Relevant Information ◽  
And Performance ◽  
Problem Solving Task

A computerized problem-solving task was employed to study the relationships among problem-solving behaviors and learning styles. College students made choices to find their way home in a simulated “lost in the woods” task and wrote their. reasons at each choice point. Time to read relevant information and time to make decisions were measured by the computer clock. These variables were correlated with learning style variables from Schmeck's (1977) questionnaire. The findings indicated that subjects who perceived themselves as competent learners take more time on the problem-solving task, use more information and make fewer wrong choices.

CAN BAYESIAN METHODS MAKE DATA AND ANALYSES MORE RELEVANT TO DECISION MAKERS?

2001 ◽  
Vol 17 (1) ◽  
pp. 114-122 ◽  
Author(s):  
Steven H. Sheingold
Keyword(s):  
Decision Making ◽  
Bayesian Methods ◽  
Paradigm Shift ◽  
Relevant Information ◽  
Decision Makers ◽  
Evidence Based ◽  
Critical Importance ◽  
Bayesian Approaches ◽  
Bayesian Analyses ◽  
And Performance

Decision making in health care has become increasingly reliant on information technology, evidence-based processes, and performance measurement. It is therefore a time at which it is of critical importance to make data and analyses more relevant to decision makers. Those who support Bayesian approaches contend that their analyses provide more relevant information for decision making than do classical or “frequentist” methods, and that a paradigm shift to the former is long overdue. While formal Bayesian analyses may eventually play an important role in decision making, there are several obstacles to overcome if these methods are to gain acceptance in an environment dominated by frequentist approaches. Supporters of Bayesian statistics must find more accommodating approaches to making their case, especially in finding ways to make these methods more transparent and accessible. Moreover, they must better understand the decision-making environment they hope to influence. This paper discusses these issues and provides some suggestions for overcoming some of these barriers to greater acceptance.

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