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Dataset results
12 results for “Intrinsic motivation”
Intrinsic motivation, perceived competence, negative feelings, and math academic performance.
<p>This dataset includes information about Primary School students' perceived competence, negative feelings, and intrinsic motivation with homework. The relationship between these variables and academic performance has been studied.</p>
DATASET associated with the research of students' intrinsic motivation during practical work in physics
<p>This dataset is associated with the research of students' intrinsic motivation during practical work in physics.</p> <p><strong>Legend for specific columns</strong>:</p> <ul> <li><em>gender</em>: 1 = men; 2 = women</li> <li><em>intention to study STEM</em>: 1 = the highest intention; 7 = the lowest intention</li> <li><em>self-reported diligence</em>: 1 = the highest diligence; 7 = the lowest diligence</li> <li><em>the remaining columns (items 1-23)</em>: 1 = the highest feeling of the measured quality; 7 = the lowest feeling of the measured quality*</li> </ul> <p>* By measured quality we mean one of the following dimensions: interest/enjoyment (abbr. <strong>int</strong>), effort/impotance (<strong>eff</strong>), pressire/tension (<strong>ten</strong>), value/usefulness (<strong>val</strong>) and perceived competence (<strong>pc</strong>).</p> <p><strong>Note</strong>: Reverse-worded items have been already taken into account, the score in these tems has been calculated.</p>
20230822-IKEM: Intrinsic exploration motivation (individual / social and direct / indirect curiosity, creativity and non-exploration), that influences which object and, if the agent is social, partner(s) are chosen for the interaction, is introduced.
<p>This archive contains the results of a multi-agent simulation experiment [1] carried out with Lazy lavender [2] environment.<br> <br> Experiment Label: 20230822-IKEM<br> <br> Experiment design: Agents interact by playing games with objects and adapt their ontologies to agree on decision taking. Intrinsic exploration motivation (individual / social and direct / indirect curiosity, creativity and non-exploration), that influences which object and, if the agent is social, partner(s) are chosen for the interaction, is introduced.<br> <br> Experiment setting: Agents learn decision trees (transformed into ontologies); choose the objects (and partners) to interact with; adapt by splitting their leaf nodes<br> <br> Hypotheses: 1) Agents will be able to fulfil their motivation in terms of increased exploration (exploratory motivations) and decreased exploration (non-exploratory motivation). 2) Agents with exploratory motivation will be more complete, but less accurate than the baseline and non-exploration. 3) Curious agents will be more accurate and complete, but converge slower in comparison with creativity. 4) In more complex settings (higher number of agents and properties), exploration leads to more completeness, accuracy, distance and faster convergence than the baseline. 5) Agents with non-exploratory motivation will be less accurate and complete than the baseline. 6) The indirect learning models have a higher accuracy and completeness than the direct models. 7) Agents with socially oriented intrinsic motivation will have less diverse knowledge, but agree more and converge faster than agents with individual intrinsic motivation. 8) Heterogeneously motivated agents will have a higher accuracy and completeness, but lower diversity and converge slower than homogeneously motivated agents.<br> <br> Detailed information can be found in index.html or notebook.ipynb.<br> <br> [1] <a href="\">https://sake.re/20230822-IKEM</a><br> [2] <a href="\">https://gitlab.inria.fr/moex/lazylav/</a><br> </p>
Triggering Chinese lecturers' intrinsic work motivation by value-based leadership and growth mindset: Generation difference by using multigroup analysis
<p>Data set for article titled "Triggering Chinese lecturers’ intrinsic work motivation by value-based leadership and growth mindset: Generation difference by using multigroup analysis".</p>
Fun Exercise Intervention for Older Adults to Improve Intrinsic Capacity and Motivation
ClinicalTrials.gov study NCT07133568. IPD Sharing: UNDECIDED. Countries: 1. Publications: 0.
Monetary Incentives and Intrinsic Motivation to Sustain Hypertension Control
ClinicalTrials.gov study NCT01402453. IPD Sharing: Not stated. Countries: 1. Publications: 1.
PedaleoVR: Credibility, Usability and Intrinsic Motivation Study
ClinicalTrials.gov study NCT05162040. IPD Sharing: NO. Countries: 1. Publications: 6.
Virtual Reality as a Intrinsic Motivation Intervention
ClinicalTrials.gov study NCT05725395. IPD Sharing: NO. Countries: 1. Publications: 8.
Gameplay as a Source of Intrinsic Motivation in a Randomized Controlled Trial of Auditory Training for Tinnitus
ClinicalTrials.gov study NCT02095262. IPD Sharing: Not stated. Countries: 1. Publications: 2.
Academic Motivation Scale (AMS) Intrinsic Motivation (IM) Questionnaire and Data
<p>The goal of this study is to investigate two things: 1) What motivates students to study at university? and 2) Have the recent COVID-19 social distancing measures demotivated students to continue studying in university? This survey will measure 3 types of motivations: Intrinsic, extrinsic, and amotivation. Intrinsic motivation is the level to which an individual engages in any given activity purely for enjoyment, satisfaction, or pleasure. Extrinsic motivation stems from an external source, such as deadlines, getting good grades, or the need to be praised/not punished. Lastly, amotivation is when an individual lacks any and all motivation, and the activity has no value or interest to them.</p> <p> </p> <p>This research is important because it could give Radboud University valuable knowledge and insights into why students study at all. Measuring amotivation can give insights about the potential lack in student motivation and their online content. This knowledge can be used to enhance their online content in the future, add new programs for students to use, give additional student support, and to foster greater student engagement and motivation. </p> <p> </p> <p>This survey consists of a total of 5 multiple choice questions regarding demographics. This is followed by a set of 24 statements to assess your intrinsic and extrinsic motivation to study. Then, a set of 4 statements to measure amotivation will be given twice. First in the context PRIOR to COVID-19 social distancing measures and again in the context AFTER COVID-19 social distancing measures were put in place. Lastly, there will be 4 questions which ask about your motivation levels and what you would recommend Radboud to do in the future. This will consist of a total of 32 statements and 9 questions. The survey takes approximately 5-10 minutes to complete. </p>
Synaptic and Intrinsic Plasticity Mediated by CCK-type Signaling Coordinates Behavioral Changes During Motivational State Shifts
GEO Series GSE296741. Aplysia californica. 2 samples. Type: Expression profiling by high throughput sequencing.
Effects of Different Types of Augmented Feedback on Intrinsic Motivation and Spatiotemporal Gait Performance After Stroke
ClinicalTrials.gov study NCT04740060. IPD Sharing: NO. Countries: 1. Publications: 0.
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OpenNeuro
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