What is he best known for?
The fields of study he is best known for:
- Artificial intelligence
- The Internet
- Law
Marcus Specht focuses on Multimedia, World Wide Web, Educational technology, Human–computer interaction and Learning sciences.
His Multimedia research incorporates themes from Augmented reality, Curriculum, Mobile technology, Mobile device and Empirical research.
His work deals with themes such as Context model, User modeling, Exhibition and Information system, which intersect with World Wide Web.
The Educational technology study combines topics in areas such as Learning environment, Cooperative learning, Knowledge base and Personalization.
His research integrates issues of Learning object metadata, Media design and Learning design in his study of Human–computer interaction.
His research in Learning sciences intersects with topics in Learning analytics and Set.
His most cited work include:
- User Modeling and Adaptive Navigation Support in WWW-Based Tutoring Systems (277 citations)
- A Context-Sensitive Nomadic Exhibition Guide (158 citations)
- Personalization and Context Management (143 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Multimedia, Human–computer interaction, Educational technology, Knowledge management and World Wide Web.
Marcus Specht has included themes like Personalization, Presentation, Adaptive learning, Learning environment and Mobile device in his Multimedia study.
His work in Presentation tackles topics such as Public speaking which are related to areas like Nonverbal communication.
His work on Augmented reality as part of general Human–computer interaction research is frequently linked to Field, bridging the gap between disciplines.
The various areas that he examines in his Educational technology study include Experiential learning, Active learning, Synchronous learning and Open learning.
Marcus Specht combines subjects such as Collaborative learning and Informal learning with his study of World Wide Web.
He most often published in these fields:
- Multimedia (38.68%)
- Human–computer interaction (21.78%)
- Educational technology (18.62%)
What were the highlights of his more recent work (between 2016-2021)?
- Human–computer interaction (21.78%)
- Learning analytics (9.17%)
- Mathematics education (10.32%)
In recent papers he was focusing on the following fields of study:
Marcus Specht mostly deals with Human–computer interaction, Learning analytics, Mathematics education, Data science and Multimedia.
His Human–computer interaction research integrates issues from Gaze, Artificial intelligence and Process.
The study incorporates disciplines such as Collaborative learning, Empirical research, Self-regulated learning and Learning sciences in addition to Learning analytics.
His Collaborative learning study incorporates themes from World Wide Web and Component.
Marcus Specht combines subjects such as Higher education and Intrinsic motivation with his study of Mathematics education.
Marcus Specht does research in Multimedia, focusing on Game design patterns specifically.
Between 2016 and 2021, his most popular works were:
- License to evaluate: preparing learning analytics dashboards for educational practice (82 citations)
- Awareness Is Not Enough: Pitfalls of Learning Analytics Dashboards in the Educational Practice (53 citations)
- A review of the types of mobile activities in mobile inquiry-based learning (46 citations)
In his most recent research, the most cited papers focused on:
- Artificial intelligence
- The Internet
- Law
The scientist’s investigation covers issues in Learning analytics, Human–computer interaction, Augmented reality, Data science and Learning sciences.
Marcus Specht has included themes like Annotation, Active learning and Upload in his Learning analytics study.
He interconnects Collaborative learning, World Wide Web, Workflow and Component in the investigation of issues within Human–computer interaction.
His study in Data science is interdisciplinary in nature, drawing from both Systematic review, Empirical research and Knowledge management.
The Learning sciences study combines topics in areas such as Learning theory and Set.
His Game design study is related to the wider topic of Multimedia.
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