Innovation in 果冻传媒: New insights in Self-Regulated Learning
Cristea Tudor's research demonstrates how learning analytics can enhance self-regulated learning, crucial for entrepreneurs and students in the digital world
In his PhD research, of the Human-Technology Interaction group, focused on self-regulated learning. His dissertation, titled 鈥楬arnessing Learning Analytics: Measuring, Understanding, and Improving Self-Regulated Learning鈥�, revealed new insights into how learning analytics can be used to improve students' online learning strategies by first improving measurement validity and reliability.
Societal Relevance
In an era where digital platforms play a central role in education, it is essential for students to effectively navigate these technologies. Self-regulated learning (SRL) is a crucial skill that helps students set goals, monitor their progress, and adapt learning strategies. Tudor's research provides new methods to measure and enhance these skills, benefiting not only education but also helping entrepreneurs to better cope with the challenges of the digital world.
Challenges for Entrepreneurs
Entrepreneurs must learn to manage the constant changes and demands of the digital economy. Tudor's research shows that by analyzing student clicks and identifying patterns in their online behavior, effective study habits can be identified. This offers valuable insights for entrepreneurs who want to support their teams in developing self-regulating skills.
Research Methods
Tudor used innovative learning analytics methods to measure SRL skills. Instead of traditional surveys, he analyzed indicators (e.g., the number of clicks or the time students spent online reading articles or watching lectures) or applied even more modern methods such as pattern analysis and data mining. These approaches provide a more accurate picture of study behavior and can help instructors give timely feedback, significantly improving the learning process.
Impact on 果冻传媒
Tudor's research has a significant impact on education. By analyzing patterns in student clicks, effective study habits can be identified and timely feedback can be provided. This not only improves the learning process but also helps universities optimize their teaching strategies.
Cristea Tudor defended his PhD research on April 4th. The title of his thesis is 鈥樷��. Supervisors: Chris Snijders, Uwe Matzat and Ad Kleingeld.