Wat is ZorgPad?
•Download as PPTX, PDF•
0 likes•196 views
ZorgPad is de nieuwe, modulaire leeromgeving voor het beroepsonderwijs. Bianca van de Pol laat de mogelijkheden zien. Ook demonstraties op locatie zijn mogelijk. Neem daarvoor contact met ons op.
Report
Share
Report
Share
Recommended
CatDroid talk: thinking different, sharing ideas
These are the slides presented as a textual support for the Catdroid session May 13th 2015 held in Barcelona.
Thanks to everyone and especially to Oriol for making this happen!
Team Global Consultancy Services - Overview
Team Global Consultants is a business process outsourcing company that offers various back office and finance & accounting services. They help clients streamline operations and reduce costs by outsourcing non-core functions like bookkeeping, accounts receivable, accounts payable, payroll processing, and data entry. They ensure security and confidentiality of client data. Their customized outsourcing solutions include fixed price, resource-based, volume-based, and hourly-based pricing options.
Endoscopy in Gastrointestinal Oncology - Slide 18 - T. Matsuda - Colorectal ESD
Endoscopy in Gastrointestinal Oncology - Slide 18 - T. Matsuda - Colorectal ESD European School of Oncology
1) Endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD) are effective minimally invasive techniques for treating early stage colorectal lesions.
2) ESD allows for en-bloc resection of lesions regardless of size but is not yet generally established as a standard method due to its higher complication rate and technical difficulty compared to EMR.
3) Accurate preoperative endoscopic diagnosis of lesion size, type, and depth of invasion is important for determining the optimal endoscopic resection approach or need for surgical resection.Geohistory-Géohistoire Canada: Developing a partnership for historical GIS an...
NACIS 2016 Presentation
Byron Moldofsky, GIS and Cartography Office, Department of Geography and Planning, University of Toronto
Marcel Fortin, Map and Data Library, University of Toronto
The Canadian Historical Geographic Information Systems (HGIS) Partnership Development Project is a diverse group of geographers, historians, librarians, research NGOs, GIS companies, and members of the public. We are working to improve our collective ability to research historical subjects using GIS, and map them, primarily on the web. We are reaching out to the larger HGIS community to consolidate knowledge about what kinds of resources are currently available, and what will be needed in the future - not only to build historical GIS data and tools, but also to facilitate collaboration and data-sharing. In the first year of this two-year project we are laying the groundwork by reviewing current capabilities and needs, including doing a user needs survey for HGIS web-mapping. This presentation will present preliminary results from this study, and will discuss plans for pilot projects in the coming year.
ENDANGERED PLANTS
A number of plant species that were previously found in certain habitats in Pakistan are no longer present, including species from Sindh, Gilgit, Hunza Valley, Baltistan, Chitral, and the Indus Delta. Several plant species in Pakistan have gone extinct while many more are endangered. The government needs to take immediate action to conserve plants scientifically. Pakistan has a wide range of habitats from beaches to glaciers that support over 5,700 plant species, with 7.6% being endemic. Threats to plants include natural causes, population growth, habitat destruction, hunting, and pollution. Hong Kong also has a rich diversity of plants and animals due to its varied topography and subtropical climate.
Recommended
CatDroid talk: thinking different, sharing ideas
These are the slides presented as a textual support for the Catdroid session May 13th 2015 held in Barcelona.
Thanks to everyone and especially to Oriol for making this happen!
Team Global Consultancy Services - Overview
Team Global Consultants is a business process outsourcing company that offers various back office and finance & accounting services. They help clients streamline operations and reduce costs by outsourcing non-core functions like bookkeeping, accounts receivable, accounts payable, payroll processing, and data entry. They ensure security and confidentiality of client data. Their customized outsourcing solutions include fixed price, resource-based, volume-based, and hourly-based pricing options.
Endoscopy in Gastrointestinal Oncology - Slide 18 - T. Matsuda - Colorectal ESD
Endoscopy in Gastrointestinal Oncology - Slide 18 - T. Matsuda - Colorectal ESD European School of Oncology
1) Endoscopic mucosal resection (EMR) and endoscopic submucosal dissection (ESD) are effective minimally invasive techniques for treating early stage colorectal lesions.
2) ESD allows for en-bloc resection of lesions regardless of size but is not yet generally established as a standard method due to its higher complication rate and technical difficulty compared to EMR.
3) Accurate preoperative endoscopic diagnosis of lesion size, type, and depth of invasion is important for determining the optimal endoscopic resection approach or need for surgical resection.Geohistory-Géohistoire Canada: Developing a partnership for historical GIS an...
NACIS 2016 Presentation
Byron Moldofsky, GIS and Cartography Office, Department of Geography and Planning, University of Toronto
Marcel Fortin, Map and Data Library, University of Toronto
The Canadian Historical Geographic Information Systems (HGIS) Partnership Development Project is a diverse group of geographers, historians, librarians, research NGOs, GIS companies, and members of the public. We are working to improve our collective ability to research historical subjects using GIS, and map them, primarily on the web. We are reaching out to the larger HGIS community to consolidate knowledge about what kinds of resources are currently available, and what will be needed in the future - not only to build historical GIS data and tools, but also to facilitate collaboration and data-sharing. In the first year of this two-year project we are laying the groundwork by reviewing current capabilities and needs, including doing a user needs survey for HGIS web-mapping. This presentation will present preliminary results from this study, and will discuss plans for pilot projects in the coming year.
ENDANGERED PLANTS
A number of plant species that were previously found in certain habitats in Pakistan are no longer present, including species from Sindh, Gilgit, Hunza Valley, Baltistan, Chitral, and the Indus Delta. Several plant species in Pakistan have gone extinct while many more are endangered. The government needs to take immediate action to conserve plants scientifically. Pakistan has a wide range of habitats from beaches to glaciers that support over 5,700 plant species, with 7.6% being endemic. Threats to plants include natural causes, population growth, habitat destruction, hunting, and pollution. Hong Kong also has a rich diversity of plants and animals due to its varied topography and subtropical climate.
The shortest path is not always a straight line
The document proposes a 3-phase algorithm to compute the metric backbone of a weighted graph to improve the performance of graph algorithms and queries. Phase 1 finds 1st-order semi-metric edges by only examining triangles. Phase 2 identifies metric edges in 2-hop paths. Phase 3 runs BFS to label remaining edges. The algorithm removes up to 90% of semi-metric edges and scales to billion-edge graphs. Real-world graphs exhibit significant semi-metricity, and the backbone provides up to 6x speedups for graph queries and analytics.
Planning with Polyalgebra: Bringing Together Relational, Complex and Machine ...
A talk from given by Julian Hyde and Tomer Shiran at Hadoop Summit, Dublin.
Data scientists and analysts want the best API, DSL or query language possible, not to be limited by what the processing engine can support. Polyalgebra is an extension to relational algebra that separates the user language from the engine, so you can choose the best language and engine for the job. It also allows the system to optimize queries and cache results. We demonstrate how Ibis uses Polyalgebra to execute the same Python-based machine learning queries on Impala, Drill and Spark. And we show how to build Polyalgebra expressions in Calcite and how to define optimization rules and storage handlers.
Jamun
1. Jamun is a tropical tree native to India, Pakistan, Malaysia, Burma and Sri Lanka that is commonly grown for its medicinal properties and fruit.
2. Extensive collections of Jamun germplasm have been made across India and characterized, with several elite selections identified based on traits like fruit size, shape, and quality.
3. While no standard cultivars exist, propagation is commonly done through seeds which have high recalcitrance, as well as grafting and micropropagation techniques. Breeding programs aim to develop early maturing varieties with improved yield and fruit quality.
Bootstrapping Recommendations with Neo4j
This document provides an overview of using Neo4j and graph databases for bootstrapping recommendations in real-time. It discusses common recommendation approaches like popularity, content-based, collaborative filtering and hybrid recommendations. It also covers challenges of real-time recommendations like processing relationships and accommodating new data continuously. Additionally, it demonstrates sample Cypher queries for calculating similarity between users and providing movie recommendations based on a user's nearest neighbors.
Telco analytics at scale
This document discusses Telco analytics at scale using distributed stream processing. It describes using technologies like Apache Spark Streaming, Kafka, and Hadoop (HDFS, Hive, HBase) to ingest and process large volumes of streaming data from various sources in real-time or near real-time. Example use cases discussed include fraud detection, real-time rating, security information and event management. It also covers strategies for distributed in-memory caching and rule processing to enable low latency analytics at high throughput scales needed for telco data and applications.
Data discovery and sharing at UCLH
Dr. Tito Castillo discusses challenges with data discovery and sharing at University College London Hospitals (UCLH) due to their multiple proprietary clinical systems with undocumented data and data warehouses. To address this, UCLH is taking a standards-based approach using models like DDI and SDMX to document metadata and map their processes. The goal is to enable better data access, sharing, and reuse to support research programmes and new models of care while respecting governance and privacy.
Streaming SQL (at FlinkForward, Berlin, 2016/09/12)
A talk given by Julian Hyde at FlinkForward, Berlin, on 2016/09/12.
Streaming is necessary to handle data rates and latency, but SQL is unquestionably the lingua franca of data. Is it possible to combine SQL with streaming, and if so, what does the resulting language look like? Apache Calcite is extending SQL to include streaming, and Apache Flink is using Calcite to support both regular and streaming SQL. In this talk, Julian Hyde describes streaming SQL in detail and shows how you can use streaming SQL in your application. He also describes how Calcite’s planner optimizes queries for throughput and latency.
Anatomy of spark catalyst
This document provides an overview of Spark Catalyst including:
- Catalyst trees and expressions represent logical and physical query plans
- Expressions have datatypes and operate on Row objects
- Custom expressions can be defined
- Code generation improves expression evaluation performance by generating Java code via Janino compiler
- Key concepts like trees, expressions, datatypes, rows, code generation and Janino compiler are explained through examples
Introduction to spark 2.0
This document introduces Spark 2.0 and its key features, including the Dataset abstraction, Spark Session API, moving from RDDs to Datasets, Dataset and DataFrame APIs, handling time windows, and adding custom optimizations. The major focus of Spark 2.0 is standardizing on the Dataset abstraction and improving performance by an order of magnitude. Datasets provide a strongly typed API that combines the best of RDDs and DataFrames.
Apache Spark in Action
This document outlines a workshop on Apache Spark given by Dr. Thanachart Numnonda. The workshop covers launching an Azure instance, installing Docker and Cloudera Quickstart, importing and exporting data to HDFS, connecting to the master node via SSH, and an introduction to Spark including RDDs and transformations. Hands-on exercises are provided to demonstrate importing data, connecting to nodes, and using HDFS and Spark APIs.
Apache Spark & Hadoop : Train-the-trainer
The document outlines an upcoming training course on Apache Spark and Hadoop from June 27th to July 1st 2016. It will cover topics like HDFS, HBase, Hive, Spark, Spark SQL, Spark Streaming, Spark Mllib and Kafka. Participants will launch an Azure virtual machine instance, install Docker and pull the Cloudera QuickStart VM to run hands-on exercises with these big data technologies. The course will include sessions on importing/exporting data to HDFS, connecting to Hadoop nodes via SSH, and using tools like HBase, Hive and their related commands and interfaces.
IT Trends 2017: Thailand
10 แนวโน้มไอทีไทยปี 2017 บทความใน IT Trends: e-Magazaine ของ IMC Institute Vol.1 No.4
A. Shamseddine - Prostate and renal cancer - State of the art and update on s...
A. Shamseddine - Prostate and renal cancer - State of the art and update on s...European School of Oncology
The document summarizes key information about prostate cancer including incidence, mortality rates, clinical stages, risk groups for localized prostate cancer, treatment options for advanced disease including hormone therapy and chemotherapy, and results from clinical trials of chemotherapy agents like docetaxel and cabazitaxel.H. Khaled - Bladder cancer - State of the art
This document summarizes the management of urinary bladder cancer. It discusses staging, histopathologic types, and treatment options for non-muscle invasive and muscle invasive bladder cancer as well as metastatic disease. Standard first-line chemotherapy for metastatic bladder cancer includes gemcitabine and cisplatin or MVAC. Newer chemotherapy regimens and agents are also discussed.
Creating Picture Legends For Group Photos
We present a study of the in-camera image processing through an extensive analysis of more than 10,000 images from over 30 cameras. The goal of this work is to investigate if image values can be transformed to physically meaningful values, and if so, when and how this can be done. From our analysis, we found a major limitation of the imaging model employed in conventional radiometric calibration methods and propose a new in-camera imaging model that fits well with today’s cameras. With the new model, we present associated calibration procedures that allow us to convert sRGB images back to their original CCD RAW responses in a manner that is significantly more accurate than any existing methods. Additionally, we show how this new imaging model can be used to build an image correction application that converts an sRGB input image captured with the wrong camera settings to an sRGB output image that would have been recorded under the correct settings of a specific camera.
We also describe a method to construct a sparse lookup table (LUT) that is effective in modeling the camera imaging pipeline that maps a RAW camera image to its sRGB output based on the new aforementioned color processing model. We show how to construct a LUT using a novel nonuniform lattice regression method that adapts the LUT lattice to better fit the underlying 3D function which was previously formulated as a RBF function. Our method offers not only a performance speedup of an order of magnitude faster than RBF, but also a compact mechanism to describe the imaging pipeline.
Leerlijnen En Vocabulaires In De Praktijk - Wat kun je ermee
Strijker, A. (2009 11 24). Leerlijnen En Vocabulaires In De Praktijk
Docentprofessionalisering met TPACK
Presentatie tijdens de workshop Docentprofessionalisering met TPACK voor de SURFacademy (december, 2011).
More Related Content
Viewers also liked
The shortest path is not always a straight line
The document proposes a 3-phase algorithm to compute the metric backbone of a weighted graph to improve the performance of graph algorithms and queries. Phase 1 finds 1st-order semi-metric edges by only examining triangles. Phase 2 identifies metric edges in 2-hop paths. Phase 3 runs BFS to label remaining edges. The algorithm removes up to 90% of semi-metric edges and scales to billion-edge graphs. Real-world graphs exhibit significant semi-metricity, and the backbone provides up to 6x speedups for graph queries and analytics.
Planning with Polyalgebra: Bringing Together Relational, Complex and Machine ...
A talk from given by Julian Hyde and Tomer Shiran at Hadoop Summit, Dublin.
Data scientists and analysts want the best API, DSL or query language possible, not to be limited by what the processing engine can support. Polyalgebra is an extension to relational algebra that separates the user language from the engine, so you can choose the best language and engine for the job. It also allows the system to optimize queries and cache results. We demonstrate how Ibis uses Polyalgebra to execute the same Python-based machine learning queries on Impala, Drill and Spark. And we show how to build Polyalgebra expressions in Calcite and how to define optimization rules and storage handlers.
Jamun
1. Jamun is a tropical tree native to India, Pakistan, Malaysia, Burma and Sri Lanka that is commonly grown for its medicinal properties and fruit.
2. Extensive collections of Jamun germplasm have been made across India and characterized, with several elite selections identified based on traits like fruit size, shape, and quality.
3. While no standard cultivars exist, propagation is commonly done through seeds which have high recalcitrance, as well as grafting and micropropagation techniques. Breeding programs aim to develop early maturing varieties with improved yield and fruit quality.
Bootstrapping Recommendations with Neo4j
This document provides an overview of using Neo4j and graph databases for bootstrapping recommendations in real-time. It discusses common recommendation approaches like popularity, content-based, collaborative filtering and hybrid recommendations. It also covers challenges of real-time recommendations like processing relationships and accommodating new data continuously. Additionally, it demonstrates sample Cypher queries for calculating similarity between users and providing movie recommendations based on a user's nearest neighbors.
Telco analytics at scale
This document discusses Telco analytics at scale using distributed stream processing. It describes using technologies like Apache Spark Streaming, Kafka, and Hadoop (HDFS, Hive, HBase) to ingest and process large volumes of streaming data from various sources in real-time or near real-time. Example use cases discussed include fraud detection, real-time rating, security information and event management. It also covers strategies for distributed in-memory caching and rule processing to enable low latency analytics at high throughput scales needed for telco data and applications.
Data discovery and sharing at UCLH
Dr. Tito Castillo discusses challenges with data discovery and sharing at University College London Hospitals (UCLH) due to their multiple proprietary clinical systems with undocumented data and data warehouses. To address this, UCLH is taking a standards-based approach using models like DDI and SDMX to document metadata and map their processes. The goal is to enable better data access, sharing, and reuse to support research programmes and new models of care while respecting governance and privacy.
Streaming SQL (at FlinkForward, Berlin, 2016/09/12)
A talk given by Julian Hyde at FlinkForward, Berlin, on 2016/09/12.
Streaming is necessary to handle data rates and latency, but SQL is unquestionably the lingua franca of data. Is it possible to combine SQL with streaming, and if so, what does the resulting language look like? Apache Calcite is extending SQL to include streaming, and Apache Flink is using Calcite to support both regular and streaming SQL. In this talk, Julian Hyde describes streaming SQL in detail and shows how you can use streaming SQL in your application. He also describes how Calcite’s planner optimizes queries for throughput and latency.
Anatomy of spark catalyst
This document provides an overview of Spark Catalyst including:
- Catalyst trees and expressions represent logical and physical query plans
- Expressions have datatypes and operate on Row objects
- Custom expressions can be defined
- Code generation improves expression evaluation performance by generating Java code via Janino compiler
- Key concepts like trees, expressions, datatypes, rows, code generation and Janino compiler are explained through examples
Introduction to spark 2.0
This document introduces Spark 2.0 and its key features, including the Dataset abstraction, Spark Session API, moving from RDDs to Datasets, Dataset and DataFrame APIs, handling time windows, and adding custom optimizations. The major focus of Spark 2.0 is standardizing on the Dataset abstraction and improving performance by an order of magnitude. Datasets provide a strongly typed API that combines the best of RDDs and DataFrames.
Apache Spark in Action
This document outlines a workshop on Apache Spark given by Dr. Thanachart Numnonda. The workshop covers launching an Azure instance, installing Docker and Cloudera Quickstart, importing and exporting data to HDFS, connecting to the master node via SSH, and an introduction to Spark including RDDs and transformations. Hands-on exercises are provided to demonstrate importing data, connecting to nodes, and using HDFS and Spark APIs.
Apache Spark & Hadoop : Train-the-trainer
The document outlines an upcoming training course on Apache Spark and Hadoop from June 27th to July 1st 2016. It will cover topics like HDFS, HBase, Hive, Spark, Spark SQL, Spark Streaming, Spark Mllib and Kafka. Participants will launch an Azure virtual machine instance, install Docker and pull the Cloudera QuickStart VM to run hands-on exercises with these big data technologies. The course will include sessions on importing/exporting data to HDFS, connecting to Hadoop nodes via SSH, and using tools like HBase, Hive and their related commands and interfaces.
IT Trends 2017: Thailand
10 แนวโน้มไอทีไทยปี 2017 บทความใน IT Trends: e-Magazaine ของ IMC Institute Vol.1 No.4
A. Shamseddine - Prostate and renal cancer - State of the art and update on s...
A. Shamseddine - Prostate and renal cancer - State of the art and update on s...European School of Oncology
The document summarizes key information about prostate cancer including incidence, mortality rates, clinical stages, risk groups for localized prostate cancer, treatment options for advanced disease including hormone therapy and chemotherapy, and results from clinical trials of chemotherapy agents like docetaxel and cabazitaxel.H. Khaled - Bladder cancer - State of the art
This document summarizes the management of urinary bladder cancer. It discusses staging, histopathologic types, and treatment options for non-muscle invasive and muscle invasive bladder cancer as well as metastatic disease. Standard first-line chemotherapy for metastatic bladder cancer includes gemcitabine and cisplatin or MVAC. Newer chemotherapy regimens and agents are also discussed.
Creating Picture Legends For Group Photos
We present a study of the in-camera image processing through an extensive analysis of more than 10,000 images from over 30 cameras. The goal of this work is to investigate if image values can be transformed to physically meaningful values, and if so, when and how this can be done. From our analysis, we found a major limitation of the imaging model employed in conventional radiometric calibration methods and propose a new in-camera imaging model that fits well with today’s cameras. With the new model, we present associated calibration procedures that allow us to convert sRGB images back to their original CCD RAW responses in a manner that is significantly more accurate than any existing methods. Additionally, we show how this new imaging model can be used to build an image correction application that converts an sRGB input image captured with the wrong camera settings to an sRGB output image that would have been recorded under the correct settings of a specific camera.
We also describe a method to construct a sparse lookup table (LUT) that is effective in modeling the camera imaging pipeline that maps a RAW camera image to its sRGB output based on the new aforementioned color processing model. We show how to construct a LUT using a novel nonuniform lattice regression method that adapts the LUT lattice to better fit the underlying 3D function which was previously formulated as a RBF function. Our method offers not only a performance speedup of an order of magnitude faster than RBF, but also a compact mechanism to describe the imaging pipeline.
Viewers also liked (15)
Planning with Polyalgebra: Bringing Together Relational, Complex and Machine ...
Planning with Polyalgebra: Bringing Together Relational, Complex and Machine ...
Streaming SQL (at FlinkForward, Berlin, 2016/09/12)
Streaming SQL (at FlinkForward, Berlin, 2016/09/12)
A. Shamseddine - Prostate and renal cancer - State of the art and update on s...
A. Shamseddine - Prostate and renal cancer - State of the art and update on s...
Similar to Wat is ZorgPad?
Leerlijnen En Vocabulaires In De Praktijk - Wat kun je ermee
Strijker, A. (2009 11 24). Leerlijnen En Vocabulaires In De Praktijk
Docentprofessionalisering met TPACK
Presentatie tijdens de workshop Docentprofessionalisering met TPACK voor de SURFacademy (december, 2011).
Joop de Vries en Marjon Weijs-Lijster: Hoe zorgen we voor ict vaardige docenten?
Joop de Vries en Marjon Weijs-Lijster: Hoe zorgen we voor ict vaardige docenten?Stichting VO-content
Joop de Vries en Marjon Weijs-LijsterOnderwijs, Leerplanontwikkeling en Linked Data
Strijker a (2014 04-17) Onderwijs, slo en linked data. Pilod conferentie. Enschede. Presentatie hoe linked data binnen leerplanontwikkeling (curriculum) kan worden gebruikt voor adaptief, gepersonaliseerd onderwijs. Dit door gebruik te maken van het Onderwijsbegrippenkader (OBK) door standaarden voor inhouden, doelen en niveau's
Acadin - voor talenten in uw klas!
Woensdag 11 november
Sessieronde 2
Titel: Acadin - voor talenten in uw klas!
Spreker(s): Barbara Kroeze (Acadin), Michiel Masselink (Acadin)
Zaal: Penn II
Digitaal perspectief op flexibiliseren
presentatie voor regionaal afstemmingsoverleg PostHBO op 27 november 2018
2010 Standaardiseren Flexibiliseren Ho
Uitwerking van een eenvoudig onderwijsorganisatiemodel voor het MBO om het onderwijs flexibel(er) te maken.
Toetsen en beoordelen met ICT NTI
Ik ben verbonden als lector e-learning aan Hogeschool NTI. In dit kader heb ik een presentatie verzorgd over het gebruik van ICT voor toetsen en beoordelen. In deze presentatie ben ik ingegaan op uitgangspunten, heb ik verschillende voorbeelden gepresenteerd en ben ik met de aanwezigen ingegaan op de relevantie van deze voorbeelden voor het NTI
Arrangeren van leermiddelen met leerlijnen en leerplan
(2011-11-17). Strijker, A. Presentatie voor de Workshop "Arrangeren met leerlijnen" voor de CLU leermiddelendag in Utrecht
Adaptief leren en Rekenblokken
Dinsdag 10 november
Sessieronde 3
Titel: Adaptief leren en Rekenblokken
Spreker(s): Silvia Beekmans (Malmerg), Hans Prins (Malmberg)
Zaal: Penn II
Het uitwerken van een educatief pakket: met de handen in het haar: opstellen...
Studiedag 'TWI-erfgoed en onderwijs' (30 april 2014)
Similar to Wat is ZorgPad? (20)
Leerlijnen En Vocabulaires In De Praktijk - Wat kun je ermee
Leerlijnen En Vocabulaires In De Praktijk - Wat kun je ermee
Joop de Vries en Marjon Weijs-Lijster: Hoe zorgen we voor ict vaardige docenten?
Joop de Vries en Marjon Weijs-Lijster: Hoe zorgen we voor ict vaardige docenten?
Arrangeren van leermiddelen met leerlijnen en leerplan
Arrangeren van leermiddelen met leerlijnen en leerplan
Intensieve trainingsdag Universal Design for Learning (UDL) - 27 februari 2014
Intensieve trainingsdag Universal Design for Learning (UDL) - 27 februari 2014
Het uitwerken van een educatief pakket: met de handen in het haar: opstellen...
Het uitwerken van een educatief pakket: met de handen in het haar: opstellen...
Wat is ZorgPad?
- 1. ZorgPad De leeroplossing voor zorgonderwijs
- 2. Visie Opleiden van optimaal toegeruste zorgprofessionals Leren en doceren met maximale flexibiliteit, passend bij verschillende leerstijlen en onderwijsvormen Plaats en tijdonafhankelijk Aansluitend op alle manieren van examineren Aansluitend op geldende richtlijnen & protocollen Doorlopende leerlijn, verbinding onderwijs en praktijk
- 3. Het concept (1) Modulaire opbouw rondom thema’s Elk thema bestaat uit meerdere onderwerpen Voor elk onderwerp is een leerpad, bestaande uit diverse leerobjecten, op maat gearrangeerd Een arrangement van leerobjecten biedt een samenhangend leerpad om leerdoelen te bereiken
- 4. Leerdoel Onderwerp Niveau Wat zijn de leerdoelen? Wat is de aard van het onderwerp? Kennen Inzicht Toepassen Gedrag Softskills Technisch Etcetera Wat is het niveau van de doelgroep? Het concept (2)
- 5. Het concept (3) • Noodzakelijk of gewenste aantal leerobjecten binnen een leerpad is afhankelijk van leerdoelen, onderwerp en mogelijk ook van niveau • Hiermee zijn leerpaden en leerobjecten variabel in duur • Leerobjecten worden in een samenhangend leerpad aangeboden maar hebben geen afhankelijkheid van elkaar en zijn ook niet volgordelijk
- 6. Structuur leerpad Opbouw van een leerpad bestaat altijd uit 4 categorieën: • Introductie • Kennisverwerving • Verwerking • Afronding Optioneel: • Overig