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1
journal article EST
/
journal article ENG
Active blended learning engineering students : a case study
Vodovozov, Valery
;
Raud, Zoja
;
Petlenkov, Eduard
Education Sciences
2022
/
art. 344
https://doi.org/10.3390/educsci12050344
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
2
journal article
Active learning in computer exercises on electronics
Raud, Zoja
;
Vodovozov, Valery
World Academy of Science, Engineering and Technology. International journal of electrical, computer, electronics and communication engineering
2014
/
p. 1061-1066 : ill
journal article
3
book article
Active learning in remote electrical drive laboratory
Vodovozov, Valery
;
Raud, Zoja
;
Lehtla, Tõnu
Proceedings of 2015 IEEE Global Engineering Education Conference (EDUCON) : 18-20 March 2015, Tallinn University of Technology (TUT), Tallinn, Estonia
2015
/
p. 28-34 : ill
https://doi.org/10.1109/EDUCON.2015.7095946
book article
4
book article
Active learning of students with diverse goals and backgrounds in the light of Industry 4.0 requirements
Vodovozov, Valery
;
Raud, Zoja
;
Petlenkov, Eduard
Proceedings of the 2022 IEEE Global Engineering Education Conference (EDUCON)
2022
/
p. 351-355
https://doi.org/10.1109/EDUCON52537.2022.9766564
book article
5
book article
Active learning-based mobile malware detection utilizing auto-labeling and data drift detection
Deng, Zhe
;
Hubert, Arthur
;
Ben Yahia, Sadok
;
Bahsi, Hayretdin
Proceedings of the 2024 IEEE International Conference on Cyber Security and Resilience, CSR 2024
2024
/
p. 146 - 151
https://doi.org/10.1109/CSR61664.2024.10679343
Article at Scopus
Article at WOS
book article
6
journal article
Active methods in entrepreneurship education : a case study with engineering students
Hammoda, Basel Osama Sayed Ahmed
;
Winkler, Christoph
European journal of engineering education
2024
/
p. 1203-1226
https://doi.org/10.1080/03043797.2024.2384893
journal article
Related publications
1
Active methods in entrepreneurship education : a competency-based approach to investigate their theoretical foundations and effectiveness = Aktiivõppe meetodid ettevõtlusõppes : pädevuspõhine lähenemine nende teoreetiliste aluste ja tõhususe uurimiseks
7
journal article EST
/
journal article ENG
Challenges of active learning in a view of integrated engineering education
Vodovozov, Valery
;
Raud, Zoja
;
Petlenkov, Eduard
Education Sciences
2021
/
art. 43
https://doi.org/10.3390/educsci11020043
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
8
book article EST
/
book article ENG
Development of critical thinking and reflection
Rüütmann, Tiia
The Challenges of the Digital Transformation in Education : proceedings of the 21st International Conference on Interactive Collaborative Learning (ICL2018) - Volume 2
2019
/
p. 895-906
https://doi.org/10.1007/978-3-030-11935-5_85
Conference proceedings at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
9
book article
Development of students’ activity through on-lecture assessment in electrical engineering
Vodovozov, Valery
;
Raud, Zoja
;
Gevorkov, Levon
Proceedings : 2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE) : Grand Cevahir Hotel and Convention Center, Istambul, Turkey, 01-04 June, 2014
2014
/
p. 2213-2217 : ill
book article
10
book article
Distance laboratory to explore electrical drive
Raud, Zoja
;
Vodovozov, Valery
Recent advances in energy, environment and development : proceedings of the 9th International Conference on Energy & Environment (EE '14) : Geneva, Switzerland, December 29-31, 2014
2014
/
p. 58-63 : ill
book article
11
book article
Education concerning electromagnetic fields
Taal, Hilja
6th International Conference on Interdisciplinarity in Education ICIE'11 : Education, Research and Innovation in Engineering and Related Disciplines, April 14-16, 2011, Karabuk/Safranbolu, Turkey : proceedings
2011
/
p. 103-109
book article
12
book article
Enhancing IoT botnet attack detection in SOCs with an explainable active learning framework
Kalakoti, Rajesh
;
Nõmm, Sven
;
Bahsi, Hayretdin
2024 IEEE World AI IoT Congress (AIIoT)
2024
/
p. 265 - 272
https://doi.org/10.1109/AIIoT61789.2024.10578957
Article at Scopus
Article at WOS
book article
13
book article
EuroTeQ as an alliance to promote European engineering education
Vodovozov, Valery
;
Raud, Zoja
;
Lehtla, Madis
Proceedings of the 15th International Conference on Computer Supported Education (CSEDU 2023). Vol. 2
2023
/
p. 601-607
https://doi.org/10.5220/0011824900003470
book article
14
journal article EST
/
journal article ENG
Experts still needed : boosting long-term android malware detection with active learning
Guerra-Manzanares, Alejandro
;
Bahsi, Hayretdin
Journal of Computer Virology and Hacking Techniques
2024
/
p. 901 - 918
https://doi.org/10.1007/s11416-024-00536-y
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
15
journal article EST
/
journal article ENG
Network IDS alert classification with active learning techniques
Vaarandi, Risto
;
Guerra-Manzanares, Alejandro
Journal of Information Security and Applications
2024
/
art. 103687
https://doi.org/10.1016/j.jisa.2023.103687
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
16
journal article EST
/
journal article ENG
On the application of active learning for efficient and effective Iot botnet detection
Guerra Manzanares, Alejandro
;
Bahsi, Hayretdin
Future Generation Computer Systems
2023
/
p. 40-53 : ill
https://doi.org/10.1016/j.future.2022.10.024
Journal metrics at Scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
Related publications
1
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
17
book article
On the application of active learning to handle data evolution in Android malware detection
Guerra Manzanares, Alejandro
;
Bahsi, Hayretdin
Digital forensics and cyber crime : 13th EAI international conference, ICDF2C 2022, Boston, MA, November 16-18, 2022 : proceedings
2023
/
p. 256-273
https://doi.org/10.1007/978-3-031-36574-4_15
book article
Related publications
1
Machine learning-based detection and characterization of evolving threats in mobile and IoT Systems = Masinõppepõhine arenevate ohtude tuvastamine ning kirjeldamine mobiilseadmete ja värkvõrkude jaoks
18
journal article EST
/
journal article ENG
Pavement defect segmentation in orthoframes with a pipeline of three convolutional neural networks
Lõuk, Roland
;
Riid, Andri
;
Pihlak, Rene
;
Tepljakov, Aleksei
Algorithms
2020
/
art. 198, 27 p. : ill
https://doi.org/10.3390/a13080198
Journal metrics at scopus
Article at Scopus
Journal metrics at WOS
Article at WOS
journal article EST
/
journal article ENG
19
book article
Post-quantum trails: an educational board game about post-quantum cryptography
Vakarjuk, Jelizaveta
;
Snetkov, Nikita
Proceedings of the 7th International Conference on Historical Cryptology (HistoCrypt 2024)
2024
/
p. 244-248 : ill
https://dspace.ut.ee/items/1e6331fb-6e1c-4374-a2c1-2ef2eab3190a
https://doi.org/10.58009/aere-perennius0115
book article
20
book article EST
/
book article ENG
Preparing Master’s degree students for doctoral studies - a lecturer’s perspective : results of a case study of problem-based learning (PBL)
Nutt, Nele
;
Karu, Katrin
;
Raamets, Jane
Towards a Hybrid, Flexible and Socially Engaged Higher Education : Proceedings of the 26th International Conference on Interactive Collaborative Learning (ICL2023), Volume 2
2024
/
p. 355-365
https://doi.org/10.1007/978-3-031-52667-1_34
Article collection metrics at Scopus
Article at Scopus
Article at WOS
book article EST
/
book article ENG
21
journal article
Remote training with self-assessment in electrical engineering
Raud, Zoja
;
Vodovozov, Valery
International journal of social, behavioral, educational, economic, business and industrial engineering
2016
/
p. 46-51 : ill
http://scholar.waset.org/1999.10/10003299
journal article
22
dissertation
Research and development of an active learning technology for university-level education in the field of electronics and power electronics = Aktiivõppetehnoloogia uurimine ja väljatöötamine kõrghariduse õppekavale elektroonika ja jõuelektroonika valdkonnas
Raud, Zoja
2012
https://www.ester.ee/record=b2781667*est
dissertation
23
book article
Self-assessment methodology in active learning electrical engineering
Raud, Zoja
;
Vodovozov, Valery
Recent Advances on Education and Educational Technologies : [proceedings of EET 2015, Barcelona, Spain, April 7-9, 2015, ETE 2015, Vienna, Austria, March 15-17, 2015]
2015
/
p. 58-62 : ill
book article
24
book article
Strengthening active learning with a reinforcement approach in engineering education
Vodovozov, Valery
;
Raud, Zoja
;
Petlenkov, Eduard
2024 IEEE 65th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
2024
/
5 p
https://doi.org/10.1109/RTUCON62997.2024.10830891
book article
25
book article
Student centred teaching approach for the informatics course
Murtazin, Kristina
;
Vendelin, Jelena
Future computers in education : June 1-2, 2012, Shanghai, China
2012
/
p. 227-232 : ill
book article
Number of records 25, displaying
1 - 25
keyword
288
1.
active learning
2.
active learning methods
3.
active blended learning
4.
interactive learning objects
5.
tools for interactive learning and teaching
6.
active vs. semi-active vs. passive suspension
7.
active and intelligent packaging
8.
active chilled beam
9.
Active chitosan-based film
10.
active clamp
11.
active clamping
12.
active cooling
13.
active decoupling
14.
active distribution network management
15.
active distribution system
16.
active disturbance rejection controller (ADRC)
17.
active frequency bias method
18.
active frequency drift method
19.
active front-end
20.
active front-end converters
21.
Active inference
22.
active magnetic bearing
23.
active membrane permeability
24.
active NPC qZS inverter
25.
active orthoses
26.
active pharmaceutical ingredients (APIs)
27.
active power
28.
active power decoupling
29.
active redundancy
30.
Active sachet
31.
active tectonics
32.
active thermal control
33.
active-passive ranging
34.
active-passive two-way ranging
35.
Bio-active™ multi-force archwires
36.
capillary active
37.
carbohydrate-active enzyme genes
38.
dual active bridge
39.
dual active bridge (DAB) converter
40.
dual active bridge converter
41.
dual-active bridge (DAB)
42.
Electro-active sensitivity
43.
monolithic active pixel sensors
44.
multiple active bridge
45.
non-active power
46.
odor-active compound
47.
odor-active compounds
48.
odour-active compounds
49.
optically active materials
50.
parallel active power filter
51.
quadruple active bridge
52.
semi-active rectifier
53.
shunt active power filter
54.
surface active ionic liquids
55.
surface active substances
56.
surface-active ionic liquids (SAILs)
57.
virtual active filter
58.
35 °C Thermo-Active Copper NiTi (CuNiTi)
59.
adversarial machine learning
60.
adversarial machine-learning
61.
algorithm controlling the learning process
62.
appetitive associative learning
63.
approach to learning
64.
Attitude to learning
65.
authoritarian learning
66.
automata learning
67.
automatic machine learning (autoML)
68.
bayesian learning
69.
BIM-enabled learning
70.
BIM-enabled learning environment
71.
blended learning
72.
business school as learning organization
73.
business school learning organization questionnaire (BSLOQ)
74.
business school learning rate dependence on GPD
75.
business school learning rate measurement instrument
76.
challenge-based learning
77.
client learning
78.
Collaborative e-learning
79.
collaborative learning
80.
competence based learning
81.
competence learning
82.
competence-based learning
83.
competency based learning
84.
Component organised learning (COL)
85.
computer assisted language learning
86.
computer based learning
87.
computer-assisted language learning (CALL)
88.
cooperative reinforcement learning
89.
coping with online teaching and learning
90.
customer learning
91.
deep learning
92.
deep learning (DL)
93.
deep learning classifier
94.
deep learning method
95.
deep learning methods
96.
deep learning model
97.
deep learning model quantization
98.
deep learning network
99.
deep reinforcement learning
100.
Deep reinforcing learning SDN
101.
Deep-learning
102.
deep-learning (DL)
103.
dictionary learning
104.
digital learning module
105.
digital remote learning
106.
Dimensions of Learning Organisation Questionnaire (DLOQ)
107.
distance learning
108.
distant learning
109.
distributed independent reinforcement learning
110.
double Q-learning
111.
effective teaching and learning
112.
e-learning
113.
e‐learning
114.
e-Learning course
115.
e-Learning database
116.
e-learning environment
117.
electronic learning
118.
embedded deep learning
119.
Emergency remote learning
120.
ensemble learning
121.
enterprising and entrepreneurial learning
122.
entrepreneurial learning
123.
entrepreneurial teaching and learning
124.
ESG-learning
125.
experiential learning
126.
Federated learning
127.
federated learning (FL)
128.
flexible learning
129.
game based learning
130.
game-based learning
131.
graph machine learning
132.
guided in-service learning
133.
hands-on-learning
134.
history learning
135.
horizontal federated learning
136.
human-centred learning
137.
hybrid learning
138.
incremental learning
139.
inductive learning
140.
inductive learning algorithm
141.
interdisciplinary learning
142.
interpretable machine learning
143.
inverse reinforcement learning
144.
investor learning
145.
iterative learning
146.
Kolb’s experiential learning cycle
147.
language learning
148.
Learner-centered learning environment
149.
learning
150.
learning (artificial intelligence)
151.
learning activities
152.
learning adaptation in autonomous vehicles
153.
learning algorithm
154.
learning analysis
155.
learning analytics
156.
learning and experimentation
157.
learning and health outcomes
158.
learning and memory
159.
learning business school
160.
learning by teaching
161.
learning concept
162.
learning design
163.
learning difficulties
164.
Learning environment
165.
learning experience
166.
Learning from Demonstration
167.
learning infrastructures
168.
Learning Lab
169.
learning management
170.
learning management system
171.
learning management systems
172.
learning methodology
173.
learning metrics
174.
learning models
175.
learning motivation
176.
learning objectives
177.
learning objects
178.
learning organization
179.
learning orientation
180.
learning outcomes
181.
learning process
182.
learning processes
183.
learning rate
184.
learning rate dependence on ownership form
185.
learning rate of organization
186.
learning region
187.
learning situation
188.
learning software agents
189.
learning styles
190.
learning systems
191.
learning technologies
192.
learning theories
193.
learning through the questionnaires
194.
learning university
195.
learning-to-rank
196.
lifelong learning
197.
long-short term learning
198.
machine learning
199.
machine learning (ML)
200.
machine learning algorithms
201.
machine learning approach
202.
Machine Learning Explainable model
203.
machine learning for environmental applications
204.
machine learning models
205.
machine learning systems
206.
machine-learning
207.
machine-learning predictive model
208.
mathematics students learning habits
209.
Meaningful learning
210.
measuring learning
211.
mobile learning
212.
model learning
213.
Multi-agent reinforcement learning
214.
multi-task learning
215.
mutual learning
216.
new learning models
217.
node embedding learning
218.
NREN e-learning
219.
on-device transfer learning
220.
online learning
221.
ontologies for learning systems
222.
ontology learning
223.
Open Learning Resources (OLR)
224.
organisational learning
225.
organizational learning
226.
organizational learning measurement instruments
227.
organizational learning rate dependence on management
228.
organizational learning rate measurement
229.
outcome oriented learning
230.
Parkinson’s disease machine learning
231.
peer‐to‐peer learning group
232.
personalised learning
233.
policy learning
234.
problem-based learning
235.
Problem-based learning (PBL)
236.
project learning
237.
project-based learning
238.
Q-learning
239.
Q-learning algorithm
240.
query learning
241.
regional learning
242.
reinforcement learning
243.
Reinforcement Learning (RL)
244.
relative learning performance
245.
Remote learning
246.
research-oriented learning
247.
reusable learning objects
248.
robust machine learning
249.
scholarship of teaching and learning
250.
self learning software
251.
self learning system
252.
self-learning
253.
self-regulated learning
254.
semi-supervised learning
255.
SIS problem, learning with errors
256.
small data machine learning
257.
smart learning
258.
smart learning environment
259.
social learning
260.
stochastic learning theory
261.
student centred learning
262.
supervised contrastive learning
263.
supervised learning
264.
supervised learning data
265.
supervised machine learning
266.
synchronous hybrid learning
267.
zero-shot learning
268.
task based learning
269.
team learning
270.
Technological learning
271.
technology-enhanced learning
272.
the dimensions of the learning organisation
273.
the dimensions of the learning organization questionnaire (DLOQ)
274.
trans-disciplinary social-learning
275.
transfer learning
276.
true online reinforcement learning
277.
ubiquitous learning
278.
unsupervised learning
279.
unsupervised machine learning
280.
urban learning center
281.
value of learning
282.
web and computerbased learning
283.
Web and computer-based learning
284.
virtual collaborative learning environment (VCLE)
285.
virtual learning environment
286.
virtual learning factory
287.
work-based learning
288.
workplace learning
author
1
1.
ELIXIR Machine Learning Focus Group
subject term
1
1.
UNDP Urban Learning Center
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