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160 results for “curriculum”
Attributes: A Curriculum Analytics System for measuring learning outcomes - Overview
<p><span><strong>Link to video </strong><a href="https://vimeo.com/1015456231?share=copy#t=0"><strong>https://vimeo.com/1015456231?share=copy - t=0</strong></a><br><br>The Curriculum Analytics System at the Instituto Tecnológico de Costa Rica, integrated into TEC Digital, supports faculty, coordinators, and students in assessing engineering learning outcomes during accreditation processes. The system offers two key user modules: one for coordinators to map and manage learning outcomes, and another for instructors to conduct assessments through the course portal. Coordinators oversee course and attribute mapping using visual representations of study plans, control points, and outcome visualizations. Instructors configure assignments and evaluate student submissions with standardized rating scales. The system tracks progress in real-time and generates</span> <span>comprehensive reports with performance metrics, facilitating continuous improvement in academic programs.</span></p> <p><strong><span>Key words: </span></strong><span>attributes, learning outcomes, TEC Digital, curriculum analytics, continuous improvement. </span></p>
H.J. Andrews Forest Discovery Trail: An interpretation of place based on curriculum of interpretive learning trail and field trip support, 2016
The H.J. Andrews Experimental Forest (HJA) in the Oregon Cascades is one of 24 sites in the Long-Term Ecological Research (LTER) Network. It supports research on forests, streams, and watersheds, and fosters collaborations between ecosystem science, education, natural resource management, and the humanities. The site currently hosts 85 interdisciplinary research projects, as well as experiential training for undergraduate and graduate students. In addition, the HJA runs a vibrant professional development program for teachers. Because much of the HJA’s terrain is steep and occupied with sensitive research materials, middle and high school visits are limited to tours in designated areas. The Discovery Trail was developed in 2011 as a place for visitors (~1800 in 2014) to explore the forest and site research themes from HJA headquarters, but it is not yet amenable to unguided educational exploration. We have designed an interpretive learning trail and field trip support framework for the Discovery Trail. Our primary objective is to educate students about place while guiding them to reflect upon their own relationships with place and personal responsibility for stewardship behavior. Long-term place-based conservation research is woven with creative writing from the HJA writer’s residency program and paired with reflection and creative inquiry. Interactive trail stops enable students to engage the forest from multiple perspectives. The Discovery Trail is wired for intranet wifi and content and assessment will be delivered by digital media (i.e. iPads). We will evaluate conceptual learning according to the Framework for the Next Generation Science Standards, as well as observe affective changes in sense of place, empowerment, and expressions of care or empathy through analysis of student responses to the trail activities. Because conservation attitudes require not just knowledge about systems, but also emotional connections to the material, our learning experience will in
Treatment Condition Student Data: D.A.R.E./keepin' it REAL Elementary Curriculum
<p>Raw, de-identified treatment condition data for waves 1, 2, and 3 associated with an evaluation of D.A.R.E. officers' delivery of the "keepin' it REAL" prevention program. These data were compared to control cases which were generated using the "Virtual Controls" algorithm developed by Hansen, et al., 2018 (Hansen, W.B. Saldana, S., Chen, S.H., & Ip, E.H. (2018). An algorithm for creating virtual controls using integrated and harmonized longitudinal data. Evaluation and the Health Professions. 41(2), 183-215. doi: 10.1177/0163278718772882). </p>
Acquiring musculoskeletal skills with curriculum-based reinforcement learning - model weights
<p><strong>Acquiring musculoskeletal skills with curriculum-based reinforcement learning, Neuron 2024</strong></p> <p>Here we provide the weights of the neural network policies used for the analysis presented in our article.</p> <p>The archives whose names start with a number (01 - 32) correspond to the 32 curriculum steps to train the Baoding Balls policy which ranked first at the MyoChallenge 2022. The code used for the training and which can be used to test the policies can be found at https://github.com/amathislab/myochallenge.</p> <p>The archives <em>hand_pose, hand_reach, pen </em>and <em>reorient</em> correspond to the other policies used in the article. They were developed in the paper <em>Latent exploration for reinforcement learning</em>, Chiappa et al., NeurIPS 2023. They can be loaded and tested with the code at https://github.com/amathislab/lattice.</p> <p>The archive <em>datasets</em> includes three subfolders: <em>rollouts, umap</em> and <em>csi</em>.</p> <ul> <li>The files in <em>rollouts </em>are the datasets of transitions resulting from the interaction between a policy and the environment. </li> <li>The files in <em>umap</em> are the pre-computed projections of specific subsets fo the datasets included in <em>rollouts</em> using UMAP.</li> <li>The files in <em>csi</em> report the performance of the policies described in our paper when applying Control Subspace Inactivation (CSI).</li> </ul> <p>These datasets are necessary to run the notebooks to reproduce the paper's figures and main results, with the code at https://github.com/amathislab/MyoChallengeAnalysis</p> <p>If you find these weights useful, please cite:</p> <div> <div>@article{chiappa2024acquiring,<br>title = {Acquiring musculoskeletal skills with curriculum-based reinforcement learning},<br>journal = {Neuron},<br>volume = {112},<br>number = {23},<br>pages = {3969-3983.e5},<br>year = {2024},<br>issn = {0896-6273},<br>doi = {https://doi.org/10.1016/j.neuron.2024.09.002},<br>url = {https://www.sciencedirect.com/science/article/pii/S0896627324006500},<br>author = {Alberto Silvio Chiappa and Pablo Tano and Nisheet Patel and Abigaïl Ingster and Alexandre Pouget and Alexander Mathis},<br>keywords = {motor control, motor learning, reinforcement learning, curriculum learning, motor skills, musculoskeletal control, muscle synergies},<br>}</div> <div> </div> <div>@article{chiappa2024latent,</div> <div>title={Latent exploration for reinforcement learning},</div> <div>author={Chiappa, Alberto Silvio and Marin Vargas, Alessandro and Huang, Ann and Mathis, Alexander},</div> <div>journal={Advances in Neural Information Processing Systems},</div> <div>volume={36},</div> <div>year={2024}</div> <div>}</div> </div>
Journey of Transformation Curriculum for Native American Adolescents
ClinicalTrials.gov study NCT05274217. IPD Sharing: YES. Countries: 1. Publications: 3.
Terms4FAIRskills - an overview for the Research Data Alliance 'Birds of a Feather' session, Skills and training curriculums to support FAIR for Research Software
<p>Short talk (7m) on the terms4FAIRskills initiative for the Research Data Alliance 'Birds of a Feather' session, Skills and training curriculums to support FAIR for Research Software, at RDA plenary 18 on 3 Nov 2021.</p> <p>Please see https://www.rd-alliance.org/skills-and-training-curriculums-support-fair-research-software for more information on the BoF session. Please see https://terms4fairskills.github.io/ for more information on the terms4FAIRskills initiative.</p>
Towards an ELSA curriculum for Data Scientists
<p>Review of the existing approaches and identification of the challenges with respect to the context of developing a curriculum for practitioners, such as variance in experience, education, and cultural background.</p>
Towards creating an ELSA Curriculum for Data Scientists - Introduction
<p>An introduction to the first ELSA workshop within the FAIR Data Spaces project. After a short overview of the project, the aim of the ELSA curriculum and of this workshop are presented.</p>
CURRICULUM VITAE Dr. Rusdiyanto, SE,. M. Ak,. CH,. CHt_Sept, 6, 2024
<p><strong> Curriculum Vitae</strong></p> <p>curriculum vitae atau CV merupakan dokumen penting yang berisikan tentang riwayat diri atau riwayat hidup, seperti data diri, pengalaman profesional atau kerja, prestasi akademik atau non akademik, hobi, keterampilan dan lain sebagainya.</p> <p>Dokumen penting yang satu ini sering kali disamakan dengan resume atau cover letter. Padahal ketiga dokumen ini berbeda isi, tujuan dan fungsi dibuatnya. Curriculum vitae ini digunakan untuk menuliskan tentang kronologis selama hidup, pencapaian dalam hidup, kualitas hidup yang dideskripsikan menjadi lebih dari dua halaman.</p> <p>Sedangkan resume merupakan dokumen yang berisi tentang pengalaman kerja dan prestasi sesuai dengan pekerjaan yang dilamar. Cover letter ini merupakan alasan dan motivasi melamar pekerjaan tersebut. kedua dokumen penting ini ditulis kurang lebih 1 halaman.</p>
Data from: Cadaveric emergency cricothyrotomy training for non-surgeons using a bronchoscopy-enhanced curriculum
<p>Emergency cricothyrotomy training for non-surgeons providing critical care is important as rare "cannot intubate or oxygenate events" may occur multiple times in a provider's career when surgical expertise is not immediately available. However, such training is highly variable and often infrequent so enhancing these experiences is important.</p> <p>Our study was performed after implementing a program to train non-surgeon providers on cadaveric donors. Standard training with an instructional video and live coaching was enhanced by bronchoscopic visualization of the trachea allowing participants to review their technique after performing scalpel and Seldinger-technique procedures, and to review their colleagues' technique on live video. Feasibility was measured through assessing helpfulness for trainees, cost, setup time, quality of images, and operator needs. Footage from the bronchoscopy recordings was analyzed to assess puncture-to-tube time and errors. Participants submitted pre- and post-session surveys assessing their levels of experience and gauging their confidence and anxiety with cricothyrotomies.</p> <p>We found our training program met feasibility criteria for low costs, setup time, and operator needs. Furthermore, all 24 participants rated the cadaveric session as helpful and demonstrated efficient technique by puncture-to-tube times. Bronchoscopy videos revealed that sharp instrument puncturing of the posterior tracheal wall was common and that improper tube placement occurred but was uncommon. Bronchoscopic enhancement was rated as quite or extremely helpful for visualizing the trachea and to assess depth of instrumentation. There was a significant increase in confidence and decrease in performance anxiety after the session.</p> <p>Our findings confirm that supplementing cadaveric emergent cricothyrotomy training programs with tracheal bronchoscopy is feasible, helpful to trainees, meets prior documented times for efficient technique, and detects technical errors that would have been missed in a standard training program. Bronchoscopic enhancement is a valuable addition to cricothyrotomy cadaveric training programs and may help avoid real-life complications.</p>
Associated data underlying the article "OPEN GOVERNMENT DATA (OGD) IN EUROPEAN EDUCATIONAL PROGRAMS CURRICULUM CURRENT STATE AND PROSPECTS"
<p>Associated data underlying the article</p> <p>Rizun, Nina; Ciesielska, Magdalena; Alexopoulos, Charalampos; Saxena,Stuti; Papageorgiou, Georgios International Conference on Open Data (ICOD 2022): Book of abstracts, Faculty of Law, University of Zagreb, Zagreb, Croatia, pp. 26-29 (978-953-270-167-8).</p> <pre><a href="https://doi.org/10.5281/zenodo.8069910">https://doi.org/10.5281/zenodo.8069910</a></pre> <p>It is everybody’s knowledge now that Open Government Data (OGD) pertains to the availability of datasets pertaining to government operations and functioning via license-free formats (Afful-Dadzie and Afful-Dadzie, 2017) and these datasets are linked with different themes contingent upon the area of administration like energy, education, climate, tourism, environment, infrastructure, etc. (Ubaldi, 2013). Governments have been benchmarking their OGD initiatives across standard indices like ODIN, OKFN, Open Data Barometer, etc. (Lnenicka et al., 2022; Lnenicka and Nikiforova, 2021) and ample research exists on assessing the quality of OGD portals from the demand (i.e. the governments’ efforts at maintaining the quality of datasets) and supply (i.e. the perceptions of users regarding the quality of datasets) side (Crusoe et al., 2019; de Souza et al., 2022; Islam et al., 2021; Kaasenbrood et al., 2015; Khurshid et al., 2022; Lnenicka et al., 2022; Purwanto et al., 2020; Saxena and Janssen, 2017; Shehata and Elgllab, 2021; Talukder et al., 2019; Weerakkody et al., 2017; Wirtz et al., 2016; Wirtz et al., 2018; Wirtz et al., 2019; Zuiderwijk et al., 2015). Given the magnitude of academic interest on OGD- especially in the last 10 years- it remains to be assessed as to how far has the domain progressed in the academic environs and surprisingly, no research has been conducted to elucidate the infusion of this very significant domain- that is relatable to the extent to which the governments are forwarding their claims regarding the furtherance of transparent and corruption-free administration apart from bolstering citizen participation, collaboration and trust (Gil-Garcia et al., 2020; Hellberg and Hedstrom, 2015) besides serving as a means for value creation and innovation by a range of stakeholders (Jetzek et al., 2012; Jetzek et al., 2014) - in the diverse platforms that are meant for furthering academic dialogue and discussion.</p>
Welcome-Introduction to the Workshop " A first approach to an ELSA Curriculum for Data Scientists The FAIR Data Spaces Project as a Use Case
<p>Welcome-Introduction to the Workshop " A first approach to an ELSA Curriculum for Data Scientists The FAIR Data Spaces Project as a Use Case", contains a brieff description of the FAIR Data Spaces project</p>
Proficiency Based Robotics Training Curriculum: Skill Acquisition & Transferability of Skills to Live Porcine Models
ClinicalTrials.gov study NCT02895347. IPD Sharing: YES. Countries: 1. Publications: 9.
Journey of Transformation Curriculum for Native American Youth
ClinicalTrials.gov study NCT05731713. IPD Sharing: YES. Countries: 1. Publications: 2.
Adapted ACHIEVE Curriculum for Community Mental Health Settings
ClinicalTrials.gov study NCT03999892. IPD Sharing: NO. Countries: 1. Publications: 1.
Colonoscopic Skill Acquisition and Transfer Via Simulated Curriculum of Progressive Training
ClinicalTrials.gov study NCT02000180. IPD Sharing: NO. Countries: 1. Publications: 1.
A Randomized Control Trial of a Simulation-based Curriculum to Enhance Skills in Colonoscopy
ClinicalTrials.gov study NCT01991522. IPD Sharing: NO. Countries: 1. Publications: 1.
Development of the DRIVE Curriculum to Address Childhood Obesity Risk Factors
ClinicalTrials.gov study NCT02160847. IPD Sharing: NO. Countries: 1. Publications: 6.
Point-of-Care Ultrasound (PoCUS) Low-Contact Curriculum Using Near-Peer Training and Remote Supervision
ClinicalTrials.gov study NCT06777641. IPD Sharing: YES. Countries: 1. Publications: 7.
Data from: Cadaveric emergency cricothyrotomy training for non-surgeons using a bronchoscopy-enhanced curriculum
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.