scholarly journals Subliminal Cues While Teaching: HCI Technique for Enhanced Learning

2011 ◽  
Vol 2011 ◽  
pp. 1-15 ◽  
Author(s):  
Pierre Chalfoun ◽  
Claude Frasson
Keyword(s):  
Problem Solving ◽  
Intelligent Systems ◽  
Positive Impact ◽  
Descriptive Analysis ◽  
Inductive Reasoning ◽  
Physiological Data ◽  
Learner Performance ◽  
Skin Response ◽  
Skin Conductivity ◽  
Physiological Sensors

This paper presents results from an empirical study conducted with a subliminal teaching technique aimed at enhancing learner's performance in Intelligent Systems through the use of physiological sensors. This technique uses carefully designed subliminal cues (positive) and miscues (negative) and projects them under the learner's perceptual visual threshold. A positive cue, called answer cue, is a hint aiming to enhance the learner's inductive reasoning abilities and projected in a way to help them figure out the solution faster but more importantly better. A negative cue, called miscue, is also used and aims at obviously at the opposite (distract the learner or lead them to the wrong conclusion). The latest obtained results showed that only subliminal cues, not miscues, could significantly increase learner performance and intuition in a logic-based problem-solving task. Nonintrusive physiological sensors (EEG for recording brainwaves, blood volume pressure to compute heart rate and skin response to record skin conductivity) were used to record affective and cerebral responses throughout the experiment. The descriptive analysis, combined with the physiological data, provides compelling evidence for the positive impact of answer cues on reasoning and intuitive decision making in a logic-based problem-solving paradigm.

scholarly journals PENGARUH MODEL PBM BERBANTUAN MEDIA CERITA DIGITAL TERHADAP PRESTASI BELAJAR FISIKA

2021 ◽  
Vol 5 (2) ◽  
Author(s):  
Poni Ariramdani Fariansyah ◽  
I Wayan Santyasa ◽  
Ni Ketut Rapi
Keyword(s):  
Problem Solving ◽  
Positive Impact ◽  
Descriptive Analysis ◽  
Learning Model ◽  
Control Group ◽  
Random Assignment ◽  
Control Group Design ◽  
Learning Achievement ◽  
Physics Learning ◽  
Digital Story

 Penelitian ini bertujuan untuk mengetahui pengaruh Model Pembelajaran Berbasis Masalah (MPBM) berbantuan media cerita digital terhadap prestasi belajar fisika. Penelitian ini termasuk jenis penelitian quasi eksperiment menggunakan desain one way non-equivalent pretest-posttest control group desain. Populasi dalam penelitian ini adalah seluruh siswa kelas X IPA di SMA Negeri 2 Singaraja dengan total populasi sebanyak 165 siswa. Pemilihan sampel dalam penelitian ini menggunakan random assignment. Terdapat 3 kelas sampel dari 5 kelas yang ada. X MIPA 2 sebagai kelas eksperimen 1, X MIPA 3 sebagai kelas eksperimen 2, dan X MIPA 4 sebagai kelas kontrol. Jumlah sampel dalam penelitian ini sebanyak 100 siswa. Teknik analisis data yang digunakan adalah analisis deskriptif dan ANAKOVA satu jalur. Hasil penelitian mengungkapkan hasil rata-rata prestasi belajar fisika siswa yang belajar dengan MPBM berbantuan media cerita digital lebih tinggi dibandingkan dengan siswa yang belajar dengan MPBM dan siswa yang belajar dengan MPK. Hal ini mengindikasikan model PBM berbantuan media cerita digital memiliki pengaruh yang signifikan terhadap prestasi belajar fisika siswa. IMPACTS OF DIGITAL STORY-BASED PROBLEM-SOLVING LEARNING MODEL ON STUDENTS’ LEARNING ACHIEVEMENT OF PHYSICSThis study is aimed at finding out the impacts of digital story-based problem-solving learning model (PSLM) on students’ learning achievement in physics learning. The study is a quasi-experiment research method using the one way non-equivalent pretest-posttest control group design. The population of the study consisted of 165 grade-X students of Physics of State Senior High School 2 Singaraja. A sample of 100 students were selected by way of random assignment. Class X Physics 2 was experiment group 1; class X Physics 3 was experiment group 2; and class X Physics 4 was the control group. Data were analysed by the descriptive analysis and one-way ANCOVA. Findings show that the mean average of the achievement scores of the students who attended the classes with PSLM is higher than that of students who attended the conventional class. This shows that the digital story-based problem-solving learning model has a positive impact on the students’ physics learning achievement.

Ways that nurse practitioner students self-explain during diagnostic reasoning

Diagnosis ◽  
2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Leah Burt ◽  
Susan Corbridge ◽  
Colleen Corte ◽  
Laurie Quinn ◽  
Lorna Finnegan ◽  
...  
Keyword(s):  
Problem Solving ◽  
Health Care Providers ◽  
Nurse Practitioner ◽  
Descriptive Analysis ◽  
Diagnostic Errors ◽  
Diagnostic Reasoning ◽  
Knowledge Structures ◽  
Future Research ◽  
Biological Knowledge ◽  
Care Providers

Abstract Objectives An important step in mitigating the burden of diagnostic errors is strengthening diagnostic reasoning among health care providers. A promising way forward is through self-explanation, the purposeful technique of generating self-directed explanations to process novel information while problem-solving. Self-explanation actively improves knowledge structures within learners’ memories, facilitating problem-solving accuracy and acquisition of knowledge. When students self-explain, they make sense of information in a variety of unique ways, ranging from simple restatements to multidimensional thoughts. Successful problem-solvers frequently use specific, high-quality self-explanation types. The unique types of self-explanation present among nurse practitioner (NP) student diagnosticians have yet to be explored. This study explores the question: How do NP students self-explain during diagnostic reasoning? Methods Thirty-seven Family NP students enrolled in the Doctor of Nursing Practice program at a large, Midwestern U.S. university diagnosed three written case studies while self-explaining. Dual methodology content analyses facilitated both deductive and qualitative descriptive analysis. Results Categories emerged describing the unique ways that NP student diagnosticians self-explain. Nine categories of inference self-explanations included clinical and biological foci. Eight categories of non-inference self-explanations monitored students’ understanding of clinical data and reflect shallow information processing. Conclusions Findings extend the understanding of self-explanation use during diagnostic reasoning by affording a glimpse into fine-grained knowledge structures of NP students. NP students apply both clinical and biological knowledge, actively improving immature knowledge structures. Future research should examine relationships between categories of self-explanation and markers of diagnostic success, a step in developing prompted self-explanation learning interventions.

Proficiency-aware systems

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Jakob Karolus ◽  
Paweł W. Woźniak
Keyword(s):  
Intelligent Systems ◽  
Adaptive Systems ◽  
Physiological Data ◽  
Context Aware ◽  
Stepping Stone ◽  
Digital World ◽  
Proficiency Estimation ◽  
The Way

Abstract In an increasingly digital world, intelligent systems support us in accomplishing many everyday tasks. With the proliferation of affordable sensing devices, inferring user states from collected physiological data paves the way to tailor-made adaptation. While estimating a user’s abilities is technically possible, such proficiency assessments are rarely employed to benefit the user’s task reflection. In our work, we investigate how to model and design for proficiency estimation as part of context-aware systems. In this paper, we present the definition and conceptual architecture of proficiency-aware systems. The concept is not only applicable to current adaptive systems but provides a stepping stone for systems which actively aid in developing user proficiency during interaction.

scholarly journals Post Occupancy Evaluation of School Refurbishment Projects: Multiple Case Study in the UK

Buildings ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 169
Author(s):  
Hamad Ahmed ◽  
David J. Edwards ◽  
Joseph H. K. Lai ◽  
Chris Roberts ◽  
Caleb Debrah ◽  
...  
Keyword(s):  
Intelligent Systems ◽  
Client Satisfaction ◽  
Current Trend ◽  
Inductive Reasoning ◽  
Primary Data ◽  
Philosophical Approach ◽  
Post Occupancy Evaluation ◽  
Multiple Case ◽  
The Uk ◽  
Building Project

Buildings inevitably deteriorate with time. Schools buildings are no exception and require refurbishment at times. Despite the UK Government announcing the £1 billion funding for rebuilding 50 schools over 10 years starting 2010–2021, it is common practice for builders and designers to, upon completion of a building project, move on to the next development without considering how the completed building performs. This research undertakes a post occupancy evaluation (POE) of three schools in the West Midlands, UK with specific focus on building services, viz., heating, lighting, and air conditioning and ventilation. The research adopted a mixed philosophical approach of interpretivism and post-positivism to conduct inductive reasoning. A questionnaire that collected both quantitative and qualitative primary data was distributed to the end-users of the schools. Data was analysed using the Cronbach’s alpha, one sample t-test and Kruskal–Wallis test to identify any differences between the questionnaire responses. Findings revealed that building users demanded greater control of the internal environment thus contradicting the current trend for automated ‘intelligent systems’ approaches. This research represents the first work to consider the contractor’s perspective towards developing a better understanding of client satisfaction with the school buildings. Moreover, the POE result represents a notable pragmatic advancement to knowledge that will influence the contractor’s knowledge and understanding of client satisfaction, and where to improve upon these.

Non-Verbal Rigidity, Creativity, and Problem Solving

1969 ◽  
Vol 29 (3) ◽  
pp. 715-718 ◽  
Author(s):  
Bernard S. Gorman ◽  
Stephen Breskin
Keyword(s):  
Problem Solving ◽  
Inductive Reasoning ◽  
Verbal Test ◽  
Better Than ◽  
Fluency Test

Rigidity vs flexibility has often been mentioned in discussions of creativity and problem solving. The present study investigated the relation of a non-verbal test of rigidity (Breskin Rigidity Test) to tests of semantic redefinition, associational fluency, inductive reasoning, and drawing completion. The performance of flexible Ss was significantly better than the performance of rigid Ss on all tests but the associational fluency test.

scholarly journals Asesmen Kenyamanan Taman pada Ruang Terbuka Publik di Kawasan Wisata Tepian Sungai Pangkajene

2019 ◽  
Vol 22 (1) ◽  
pp. 9-14
Author(s):  
Syarifah Fatma sari Burhanuddin
Keyword(s):  
Evaluation System ◽  
Open Space ◽  
Negative Impact ◽  
Positive Impact ◽  
Descriptive Analysis ◽  
Sampling Technique ◽  
Street Vendors ◽  
The Public ◽  
Public Open Space ◽  
Negative Impacts

This research aimed to investigate the ground comfort assessment at the public open space in tourist area of Pangkajene River banks. The research methods used were the qualitative and quantitative method by filling in questionnaires, observation, interviews, and documentation. The samples were chosen using the purposive sampling technique from the users of the park. The data were analyzed using the descriptive analysis, codification, data reduction, matriculation, cross tabulation, and the evaluation system using Likert scale. The research results indicated that the park was inconvenience with the parkconvenience being 61.97%. The effect of the street vendors had caused either positive or negative impacts on the park- the positive impact was that the park had become the largest culinary center in Pangkep town so that it could attract the tourists to visit the park, while the negative impact was that the park looked less beautiful and less hygiene. Keywords: public open space, convenience, park, riverbanks

scholarly journals IDENTIFYING THE MENTAL STATUS OF BEDRIDDEN ELDERLY BY THE BODY TEMPERATURE, HEART RATE, AND SKIN CONDUCTIVITY USING AN ARDUINO SENSOR MODULE

2021 ◽  
Vol 5 (12) ◽  
Author(s):  
W.B.P.N. Herath ◽  
R.A.K.I. Ranasinghe ◽  
M.P.C. Sandaru ◽  
I.A.S. Lakmali ◽  
A.G.N.K. Aluthgama ◽  
...  
Keyword(s):  
Heart Rate ◽  
Body Temperature ◽  
Galvanic Skin Response ◽  
Emotional State ◽  
The Body ◽  
Blood Capillary ◽  
Sensor Module ◽  
Skin Response ◽  
Skin Conductivity ◽  
The Relationship

Addressing the emotional and mental health of the bedridden elderly is necessary as they are more likely to be depressed being isolated and dependent on a caregiver for a prolonged time. Several studies have been carried out to identify the mental stress of patients through their skin conductivity. The variations in the sympathetic nervous system reflect the emotional state of a person. This is demonstrated by the Galvanic Skin Response and thus can be used as a denotation of psychological or physiological arousal. Such arousal causes the blood capillary dilation, increment of sweat gland activities making the skin further conductive to electricity. In this study we develop a sensor module composed of a Galvanic Skin Response sensor for the bed ridden elderly and identify the relationship between body temperature, heart rate and GSR of them. The experiment is conducted upon 10 bed ridden elderly aged from 60 – 80 years of the Mihinthale region. The observations demonstrate a correlation between the heart rate, body temperature, skin conductivity and the human physiological states.

scholarly journals KEPUASAN KERJA DAN DISIPLIN KERJA PENGARUHNYA TERHADAP MOTIVASI KERJA KARYAWAN PDAM TIRTA BHAGASASI BEKASI

2020 ◽  
Vol 28 (1) ◽  
pp. 106-118
Author(s):  
Evi Mafriningsianti
Keyword(s):  
Job Satisfaction ◽  
Random Sampling ◽  
Work Motivation ◽  
Positive Impact ◽  
Descriptive Analysis ◽  
Sampling Technique ◽  
Simple Random Sampling ◽  
Average Score ◽  
Sampling Techniques ◽  
Analysis Technique

This research objective to determine the satisfaction, discipline, and motivation of employees of PDAM Tirta Bhagasasi Bekasi, and also to determine satisfaction and discipline of influence on work motivation the employee of PDAM Tirta Bhagasasi Bekasi. There are 90 employees of PDAM Tirta Bhagasasi Bekasi as a sample in this study. The sampling technique uses simple random sampling techniques. Observation and questionnaire methods are used in collecting the data. The data analysis technique uses multiple regression analysis with the SPSS program. The results of the descriptive analysis show the good realization of job satisfaction (average score 3.63) and employee work discipline (average score 3.61) so that it has a positive impact on employee work motivation (average score 3.57). These results are supported by Bekasi Tirta Bhagasasi PDAM data in 2018 which obtained a level of realization of workforce satisfaction of 61.38% (sufficient category), the value of realization of employee work discipline at 5.80% (sufficient category), and the level of realization of labor motivation of 60.71% (sufficient category). t value calculated job satisfaction (b1) = 9,133 with a significance of 0,000 (<= 0.05) then Ho is rejected and Ha is accepted. This means that job satisfaction has a significant effect on the work motivation of PDAM Tirta Bhagasasi Bekasi employees. T value is calculated work discipline (b2) = 5.535 with a significance of 0,000 (<= 0.05) then Ho is rejected and Ha is accepted. This means that work discipline has a significant effect on the work motivation of PDAM Tirta Bhagasasi Bekasi employees.

scholarly journals Computational design and optimization of electro-physiological sensors

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Aditya Shekhar Nittala ◽  
Andreas Karrenbauer ◽  
Arshad Khan ◽  
Tobias Kraus ◽  
Jürgen Steimle
Keyword(s):  
Form Factors ◽  
Computational Design ◽  
Quantitative Agreement ◽  
Physiological Data ◽  
High Signal ◽  
Signal Acquisition ◽  
Design And Optimization ◽  
Graphical Tool ◽  
Small Device ◽  
Physiological Sensors

AbstractElectro-physiological sensing devices are becoming increasingly common in diverse applications. However, designing such sensors in compact form factors and for high-quality signal acquisition is a challenging task even for experts, is typically done using heuristics, and requires extensive training. Our work proposes a computational approach for designing multi-modal electro-physiological sensors. By employing an optimization-based approach alongside an integrated predictive model for multiple modalities, compact sensors can be created which offer an optimal trade-off between high signal quality and small device size. The task is assisted by a graphical tool that allows to easily specify design preferences and to visually analyze the generated designs in real-time, enabling designer-in-the-loop optimization. Experimental results show high quantitative agreement between the prediction of the optimizer and experimentally collected physiological data. They demonstrate that generated designs can achieve an optimal balance between the size of the sensor and its signal acquisition capability, outperforming expert generated solutions.

scholarly journals An Analysis of the Employee Behavior on Sales in L'Oreal: A Case Study of Pakistan

2020 ◽  
Vol V (I) ◽  
pp. 299-308
Author(s):  
Zargham Ullah Khan ◽  
Ujala Siddiq ◽  
Jaffar Mehmood Butt
Keyword(s):  
Positive Impact ◽  
Descriptive Analysis ◽  
Study Data ◽  
Employee Behavior ◽  
Online Questionnaire ◽  
Factors Affecting ◽  
Binomial Regression ◽  
Behavioral Motivation ◽  
Independent Variable

This research is carried out to investigate the most important traits of employee behavior. A quantitative approach was employed for this study. Data were collected from 120 participants using an online questionnaire. These participants are active users of Facebook who are residents of Pakistan and currently working on L'Oreal Pakistan, who are at a different position in L'Oreal Pakistan. Statistical analysis, such as binomial regression which is used for qualitative analysis used together with descriptive analysis, was used to 'assess factors affecting employee behavior in L'Oreal Pakistan. The findings of the research show that the independent variable is indicators of leadership and reward has changed the behavioral motivation of company employees and this motivational, behavioral change has a positive impact on sales of L'Oreal Pakistan. This research investigated the factors which industry can use as a tool to change their employee behavior and sales. This will help to gain increasing generous offers and valuable insights to marketing practitioners and academics.

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