RTU Research Outputs and Resources: Reasearch Staff

Information about Author

Name, Surname:

Iveta Daugule

Department:

(33100) Digitālo humanitāro zinātņu institūts

Scientific Degree:

Doktors

E-mail:

Iveta.Daugule_1(at)rtu.lv

Publications

8 items found, displaying 1 to 8.

Challenges and Opportunities Integrating Generative AI Tools in K-12 Teachers’ Work: Case Study of Latvian Teachers’ Experience
(2025)

Evija Mirķe, Iveta Daugule
Full-text conference paper published in other conference proceedings

Knowledge Flow Research in E-learning Environment
(2022)

Iveta Daugule
Doctoral Thesis

Use of Knowledge Acquisition Surface to Monitor and Assess Students’ Success
(2022)

Iveta Daugule, Atis Kapenieks, Žanis Timšāns
Scientific article indexed in SCOPUS or WOS database

TELECI Approach for e-Learning User Behavior Data Visualization and Learning Support Algorithm
(2020)

Atis Kapenieks, Iveta Daugule, Kristaps Kapenieks, Viktors Zagorskis, Jānis Kapenieks, Žanis Timšāns, Ieva Vītoliņa
Scientific article indexed in SCOPUS or WOS database

Knowledge Acquisition Data Visualization in eLearning Delivery
(2020)

Atis Kapenieks, Iveta Daugule, Kristaps Kapenieks, Viktors Zagorskis, Jānis Kapenieks, Žanis Timšāns, Ieva Vītoliņa
Full-text conference paper published in conference proceedings indexed in SCOPUS or WOS database

Knowledge Flow Analysis: The Quantitative Method for Knowledge Stickiness Analysis in Online Course
(2019)

Atis Kapenieks, Iveta Daugule
Scientific article indexed in SCOPUS or WOS database

The Data of the Initial Motivation – A Valuable Source for the Development of the Course Content. A Case Study in the Group of Business Students
(2018)

Iveta Daugule, Atis Kapenieks
Scientific article indexed in SCOPUS or WOS database

Collaborative Knowledge Flow — Mapping the E-Learning Environment
(2017)

Iveta Daugule, Atis Kapenieks
Full-text conference paper published in other conference proceedings

Projects

5 items found, displaying 1 to 5.

E-studiju tehnoloģiju un humanitāro zinātņu fakultāte (34-23000-DOK.ETHZF/16)

Marina Platonova

FuturICT 2.0 - Plaša mēroga eksperimenti un simulācijas otrās paaudzes nākotnes IKT
Citi

Atis Kapenieks

Izglītības tehnoloģiju maģistrs: Jauna tiešsaistes kombinētā mācību programma jaunajām dalībvalstīm
Citi

Dace Ratniece

Perspektīvās tehnoloģijas noturīgiem un drošiem servisiem
Citi

Jānis Grabis

Tālmācības studiju centrs (34-23041-N7047.3)
Citi

Atis Kapenieks

Information about Author

Publications

Challenges and Opportunities Integrating Generative AI Tools in K-12 Teachers’ Work: Case Study of Latvian Teachers’ Experience (2025)

Knowledge Flow Research in E-learning Environment (2022)

Use of Knowledge Acquisition Surface to Monitor and Assess Students’ Success (2022)

TELECI Approach for e-Learning User Behavior Data Visualization and Learning Support Algorithm (2020)

Knowledge Acquisition Data Visualization in eLearning Delivery (2020)

Knowledge Flow Analysis: The Quantitative Method for Knowledge Stickiness Analysis in Online Course (2019)

The Data of the Initial Motivation – A Valuable Source for the Development of the Course Content. A Case Study in the Group of Business Students (2018)

Collaborative Knowledge Flow — Mapping the E-Learning Environment (2017)

Projects

E-studiju tehnoloģiju un humanitāro zinātņu fakultāte (34-23000-DOK.ETHZF/16)

FuturICT 2.0 - Plaša mēroga eksperimenti un simulācijas otrās paaudzes nākotnes IKT Citi

Izglītības tehnoloģiju maģistrs: Jauna tiešsaistes kombinētā mācību programma jaunajām dalībvalstīm Citi

Perspektīvās tehnoloģijas noturīgiem un drošiem servisiem Citi

Tālmācības studiju centrs (34-23041-N7047.3) Citi

Challenges and Opportunities Integrating Generative AI Tools in K-12 Teachers’ Work: Case Study of Latvian Teachers’ Experience
(2025)

Knowledge Flow Research in E-learning Environment
(2022)

Use of Knowledge Acquisition Surface to Monitor and Assess Students’ Success
(2022)

TELECI Approach for e-Learning User Behavior Data Visualization and Learning Support Algorithm
(2020)

Knowledge Acquisition Data Visualization in eLearning Delivery
(2020)

Knowledge Flow Analysis: The Quantitative Method for Knowledge Stickiness Analysis in Online Course
(2019)

The Data of the Initial Motivation – A Valuable Source for the Development of the Course Content. A Case Study in the Group of Business Students
(2018)

Collaborative Knowledge Flow — Mapping the E-Learning Environment
(2017)

FuturICT 2.0 - Plaša mēroga eksperimenti un simulācijas otrās paaudzes nākotnes IKT
Citi

Izglītības tehnoloģiju maģistrs: Jauna tiešsaistes kombinētā mācību programma jaunajām dalībvalstīm
Citi

Perspektīvās tehnoloģijas noturīgiem un drošiem servisiem
Citi

Tālmācības studiju centrs (34-23041-N7047.3)
Citi