What is she best known for?
The fields of study she is best known for:
- Artificial intelligence
- The Internet
- Educational technology
The scientist’s investigation covers issues in Educational technology, Ontology, Learning object, World Wide Web and Semantic Web.
Her Educational technology study combines topics from a wide range of disciplines, such as Knowledge management, Multimedia, Learning analytics, Teaching method and Experiential learning.
The study incorporates disciplines such as E-learning, Soft skills, Analytics and Process in addition to Knowledge management.
Her Ontology study which covers Metadata that intersects with Annotation.
Her study in Learning object is interdisciplinary in nature, drawing from both Repurposing and Human–computer interaction.
The various areas that Jelena Jovanovic examines in her Semantic Web study include Learning environment, Semantics and Personalization.
Her most cited work include:
- A qualitative evaluation of evolution of a learning analytics tool (138 citations)
- Learning analytics to unveil learning strategies in a flipped classroom (102 citations)
- Ontologies for Effective Use of Context in E-Learning Settings (88 citations)
What are the main themes of her work throughout her whole career to date?
Her primary scientific interests are in World Wide Web, Learning analytics, Knowledge management, Ontology and Educational technology.
Her study involves Semantic Web and Social Semantic Web, a branch of World Wide Web.
Her research in Learning analytics intersects with topics in Analytics, Self-regulated learning, Flipped classroom and Blended learning.
Her Ontology research focuses on Learning object and how it relates to Human–computer interaction.
Her study looks at the relationship between Educational technology and fields such as Synchronous learning, as well as how they intersect with chemical problems.
Her Information retrieval study combines topics in areas such as Annotation, Semantics, Artificial intelligence and Natural language processing.
She most often published in these fields:
- World Wide Web (15.04%)
- Learning analytics (14.23%)
- Knowledge management (15.04%)
What were the highlights of her more recent work (between 2018-2021)?
- Learning analytics (14.23%)
- Analytics (6.91%)
- Flipped classroom (4.47%)
In recent papers she was focusing on the following fields of study:
Learning analytics, Analytics, Flipped classroom, Self-regulated learning and Mathematics education are her primary areas of study.
Her studies in Learning analytics integrate themes in fields like Cognitive psychology, Knowledge management and Blended learning.
Her study on Social learning is often connected to Online learning as part of broader study in Knowledge management.
Her work investigates the relationship between Analytics and topics such as Academic achievement that intersect with problems in Formal learning and Meaningful learning.
Jelena Jovanovic interconnects Computer-Assisted Instruction and Student engagement in the investigation of issues within Flipped classroom.
Her Self-regulated learning research includes themes of Self-efficacy and Learning theory.
Between 2018 and 2021, her most popular works were:
- Using Learning Analytics to Scale the Provision of Personalised Feedback. (69 citations)
- From Study Tactics to Learning Strategies: An Analytical Method for Extracting Interpretable Representations (37 citations)
- Predictive power of regularity of pre-class activities in a flipped classroom (25 citations)
In her most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Biochemistry
Jelena Jovanovic spends much of her time researching Learning analytics, Blended learning, Self-regulated learning, Flipped classroom and Time management.
Her Learning analytics study incorporates themes from Analytics and Process.
Her research brings together the fields of Knowledge management and Blended learning.
Her Knowledge management research integrates issues from Quality, Academic achievement and Health science.
Her Flipped classroom study integrates concerns from other disciplines, such as Educational technology and Task analysis.
Her studies examine the connections between Data science and genetics, as well as such issues in Digital learning, with regards to Active learning.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
