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active learning methods (võtmesõna)
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1
artikkel kogumikus
Investigating the drop-out rate from a BIM course
Puust, Raido
;
Lill, Irene
;
Liias, Roode
Proceedings of the 10th Nordic Conference on Construction Economics and Organization (CEO 2019), May 7-8, 2019, Tallinn, Estonia
2019
/
p. 325-333
https://doi.org/10.1108/S2516-285320190000002020
artikkel kogumikus
2
artikkel kogumikus
Investigating the drop-out rate from a BIM for infrastructure course
Puust, Raido
;
Witt, Emlyn David Qivitoq
;
Lill, Irene
;
Liias, Roode
Proceedings of the 2019 Conference of European Council on Computing in Construction (EC3) July 10–12, 2019 Chania, Crete, Greece
2019
/
p. 229-236
https://doi.org/10.35490/EC3.2019.149
artikkel kogumikus
3
artikkel ajakirjas
The model of extracurricular work with students of engineering specialities
Vodovozov, Valery
;
Raud, Zoja
;
Detsiuk, Tetiana
Advanced education = Новітня освіта
2018
/
p. 55–61
http://doi.org/10.20535/2410-8286.143528
artikkel ajakirjas
Kirjeid leitud 3, kuvan
1 - 3
võtmesõna
387
1.
active learning methods
2.
active blended learning
3.
active learning
4.
deep learning methods
5.
active vs. semi-active vs. passive suspension
6.
active and intelligent packaging
7.
active chilled beam
8.
Active chitosan-based film
9.
active clamp
10.
active clamping
11.
active cooling
12.
active decoupling
13.
active distribution network management
14.
active distribution system
15.
active disturbance rejection controller (ADRC)
16.
active frequency bias method
17.
active frequency drift method
18.
active front-end
19.
active front-end converters
20.
Active inference
21.
active magnetic bearing
22.
active membrane permeability
23.
active NPC qZS inverter
24.
active orthoses
25.
active pharmaceutical ingredients (APIs)
26.
active power
27.
active power decoupling
28.
Active sachet
29.
active tectonics
30.
active thermal control
31.
active-passive ranging
32.
active-passive two-way ranging
33.
Bio-active™ multi-force archwires
34.
capillary active
35.
carbohydrate-active enzyme genes
36.
dual active bridge
37.
dual active bridge (DAB) converter
38.
dual active bridge converter
39.
dual-active bridge (DAB)
40.
Electro-active sensitivity
41.
monolithic active pixel sensors
42.
multiple active bridge
43.
non-active power
44.
odor-active compound
45.
odor-active compounds
46.
odour-active compounds
47.
optically active materials
48.
parallel active power filter
49.
quadruple active bridge
50.
semi-active rectifier
51.
shunt active power filter
52.
surface active ionic liquids
53.
surface active substances
54.
surface-active ionic liquids (SAILs)
55.
virtual active filter
56.
35 °C Thermo-Active Copper NiTi (CuNiTi)
57.
ab-initio methods
58.
adversarial machine learning
59.
adversarial machine-learning
60.
algebraic methods
61.
algebraic/geometric methods
62.
algorithm controlling the learning process
63.
an ensemble of compression methods
64.
analysis methods
65.
analytical methods
66.
appetitive associative learning
67.
approach to learning
68.
approximate methods
69.
approximation methods
70.
assessment methods
71.
Attitude to learning
72.
authoritarian learning
73.
automata learning
74.
automatic machine learning (autoML)
75.
Backstepping methods
76.
bayesian learning
77.
BIM-enabled learning
78.
BIM-enabled learning environment
79.
biology experimental methods
80.
blended learning
81.
business school as learning organization
82.
business school learning organization questionnaire (BSLOQ)
83.
business school learning rate dependence on GPD
84.
business school learning rate measurement instrument
85.
calculation methods
86.
Cesaro methods
87.
challenge-based learning
88.
chemometric methods
89.
client learning
90.
Collaborative e-learning
91.
collaborative learning
92.
competence based learning
93.
competence learning
94.
competence-based learning
95.
competency based learning
96.
Component organised learning (COL)
97.
computational design methods
98.
computational methods
99.
computer aided methods
100.
computer assisted language learning
101.
computer based learning
102.
computer-assisted language learning (CALL)
103.
control methods
104.
cooperative reinforcement learning
105.
coping with online teaching and learning
106.
customer learning
107.
decontamination methods
108.
deep learning
109.
deep learning (DL)
110.
deep learning classifier
111.
deep learning method
112.
deep learning model
113.
deep learning model quantization
114.
deep learning network
115.
deep reinforcement learning
116.
Deep reinforcing learning SDN
117.
Deep-learning
118.
deep-learning (DL)
119.
Design and assessment methods
120.
design methods
121.
detection methods
122.
diagnostics methods
123.
dictionary learning
124.
didactic methods
125.
digital learning module
126.
digital methods
127.
digital remote learning
128.
Dimensions of Learning Organisation Questionnaire (DLOQ)
129.
distance learning
130.
distant learning
131.
distributed independent reinforcement learning
132.
double Q-learning
133.
effective teaching and learning
134.
e-learning
135.
e‐learning
136.
e-Learning course
137.
e-Learning database
138.
e-learning environment
139.
electronic learning
140.
electronic structure methods
141.
embedded deep learning
142.
Emergency remote learning
143.
ensemble learning
144.
ensemble methods
145.
enterprising and entrepreneurial learning
146.
entrepreneurial learning
147.
entrepreneurial teaching and learning
148.
ESG-learning
149.
Euler-Knopp methods
150.
excavation methods
151.
experiential learning
152.
extraction and detection methods
153.
Federated learning
154.
federated learning (FL)
155.
finite-element (FE) methods
156.
finite-element methods
157.
finite-element methods (FEM)
158.
flexible learning
159.
flow assessment methods
160.
formal methods
161.
frontier methods
162.
game based learning
163.
game-based learning
164.
Gauss-Newton-type methods
165.
Gauss–Newton-type methods
166.
generalized Nörlund methods
167.
geometric methods
168.
graph machine learning
169.
graphic methods
170.
guided in-service learning
171.
hands-on-learning
172.
history learning
173.
horizontal federated learning
174.
hybrid learning
175.
incremental learning
176.
inductive learning
177.
inductive learning algorithm
178.
integration methods
179.
interaction methods
180.
interactive learning objects
181.
interactive teaching methods
182.
interdisciplinary learning
183.
interpretable machine learning
184.
interpretation methods
185.
invasive methods
186.
inverse methods
187.
inverse methods for engineering applications
188.
inverse reinforcement learning
189.
investor learning
190.
iterative learning
191.
Kolb’s experiential learning cycle
192.
language learning
193.
Learner-centered learning environment
194.
learning
195.
learning (artificial intelligence)
196.
learning activities
197.
learning adaptation in autonomous vehicles
198.
learning algorithm
199.
learning analysis
200.
learning analytics
201.
learning and experimentation
202.
learning and health outcomes
203.
learning and memory
204.
learning business school
205.
learning by teaching
206.
learning concept
207.
learning design
208.
learning difficulties
209.
Learning environment
210.
learning experience
211.
Learning from Demonstration
212.
learning infrastructures
213.
Learning Lab
214.
learning management
215.
learning management system
216.
learning management systems
217.
learning methodology
218.
learning metrics
219.
learning models
220.
learning motivation
221.
learning objectives
222.
learning objects
223.
learning organization
224.
learning orientation
225.
learning outcomes
226.
learning process
227.
learning processes
228.
learning rate
229.
learning rate dependence on ownership form
230.
learning rate of organization
231.
learning region
232.
learning situation
233.
learning software agents
234.
learning styles
235.
learning systems
236.
learning technologies
237.
learning theories
238.
learning through the questionnaires
239.
learning university
240.
learning-to-rank
241.
lifelong learning
242.
linear and nonlinear unsupervised methods
243.
machine learning
244.
machine learning (ML)
245.
machine learning algorithms
246.
machine learning approach
247.
Machine Learning Explainable model
248.
machine learning for environmental applications
249.
machine learning models
250.
machine learning systems
251.
machine-learning
252.
machine-learning predictive model
253.
material characterization methods
254.
Mathematical methods
255.
mathematics students learning habits
256.
matrix methods
257.
Meaningful learning
258.
measuring learning
259.
methods
260.
methods of measuring
261.
methods of study
262.
methods: data analysis
263.
Methods: statistical
264.
mixed methods
265.
mixed-methods
266.
mobile learning
267.
model learning
268.
model-free methods
269.
modulation methods
270.
Monte Carlo methods
271.
Multi-agent reinforcement learning
272.
multi-criteria decision-making methods
273.
multi-task learning
274.
mutual learning
275.
nearest neighbor methods
276.
new learning models
277.
node embedding learning
278.
NREN e-learning
279.
numerical methods
280.
on-device transfer learning
281.
online learning
282.
ontologies for learning systems
283.
ontology learning
284.
Open Learning Resources (OLR)
285.
optimization methods
286.
organisational learning
287.
organizational learning
288.
organizational learning measurement instruments
289.
organizational learning rate dependence on management
290.
organizational learning rate measurement
291.
outcome oriented learning
292.
outlier’s detection methods
293.
Parkinson’s disease machine learning
294.
peer‐to‐peer learning group
295.
personalised learning
296.
physico-chemical methods
297.
phytoplankton detection methods
298.
plan-driven methods
299.
policy learning
300.
polynomial methods
301.
practical teaching methods
302.
prediction methods
303.
problem-based learning
304.
Problem-based learning (PBL)
305.
project learning
306.
project-based learning
307.
pseudospectral methods
308.
Q-learning
309.
Q-learning algorithm
310.
qualitative methods
311.
qualitative research methods
312.
quantitative methods
313.
query learning
314.
regional learning
315.
regular matrix methods
316.
reinforcement learning
317.
Reinforcement Learning (RL)
318.
relative learning performance
319.
Remote learning
320.
research methods
321.
research-oriented learning
322.
reusable learning objects
323.
reversal methods
324.
robust machine learning
325.
sampling methods
326.
scholarship of teaching and learning
327.
selection methods
328.
self learning software
329.
self learning system
330.
self-learning
331.
self-regulated learning
332.
semi-supervised learning
333.
separation methods
334.
shootthrough control methods
335.
shoot-through control methods
336.
small data machine learning
337.
smart learning
338.
smart learning environment
339.
social learning
340.
stability prediction methods
341.
standardized methods
342.
state space methods
343.
Statistical methods
344.
statistics methods
345.
stochastic learning theory
346.
student centred learning
347.
substation testing methods
348.
supervised learning
349.
supervised learning data
350.
supervised machine learning
351.
zero-shot learning
352.
Taguchi methods
353.
task based learning
354.
teaching methods
355.
team learning
356.
Technological learning
357.
technology-enhanced learning
358.
testing methods
359.
the dimensions of the learning organisation
360.
the dimensions of the learning organization questionnaire (DLOQ)
361.
timber construction (construction methods)
362.
tools for interactive learning and teaching
363.
tracer gas methods
364.
trans-disciplinary social-learning
365.
transfer learning
366.
transmission line matrix methods
367.
Tree-based methods
368.
true online reinforcement learning
369.
ubiquitous learning
370.
unsupervised learning
371.
unsupervised machine learning
372.
urban learning center
373.
value of learning
374.
variational methods
375.
web and computerbased learning
376.
Web and computer-based learning
377.
verification methods
378.
virtual collaborative learning environment (VCLE)
379.
virtual learning environment
380.
virtual learning factory
381.
visual methods
382.
visualization design and evaluation methods
383.
work-based learning
384.
workplace learning
385.
X-ray methods
386.
X-ray methods B
387.
finite element methods
autor
1
1.
ELIXIR Machine Learning Focus Group
märksõna
1
1.
UNDP Urban Learning Center
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