Learning in a digital world

Course goals

Upon completion of the course, the student is able to:

• Explore a specific topic related to learning in a digital world, prepare a class session, and facilitate discussions that contribute to an in-depth understanding of current theories and theoretical debates.
• Explain and critically evaluate foundational theories and concepts related to learning in a digital world (e.g., self-regulated learning, adaptive instruction, and artificial intelligence), both orally and in writing;
• Analyze and evaluate research literature by applying theoretical concepts to assess the quality, methodology, and implications of studies on digital learning environments;
• Design and justify learning strategies or interventions informed by theoretical frameworks and empirical evidence, addressing challenges and opportunities in digital learning contexts.
• Design a practice-oriented research proposal aimed to address real-world challenges and opportunities within educational settings related to learning in a digital world. 

Students will demonstrate the acquisition of those skills through active participation in the in-class discussions, via the student presentations during the meetings, and in the assignment.
 

Content

The course focuses on “Learning in a Digital World” and explores the instructional design of learning environments that are effective, engaging, and adaptive to learners’ needs. Particular attention is given to interaction and adaptivity, with a focus on tailoring learning activities to individual learners.

At the start of the course, students will collaboratively select topics for the class sessions from a provided list. Together with the lecturers, students will prepare the sessions, define the preparatory activities, and lead the in-class discussions. Relevant topics that may be addressed in this course are:

• Generative Artificial Intelligence: Exploring the use of AI tools and their implications for learning and instruction.
• Self-Regulated Learning: Explore the importance of self-regulated learning for student learning in digital learning environments.
• Adaptive Teaching: How teachers monitor learners’ progress and adapt their instruction to individual needs.
• Adaptive Instructional Systems: How software systems monitor learners and dynamically adapt instruction to their needs.
• Interaction and Adaptivity in Educational Games: Exploring the role of games in providing personalized learning experiences.
• Game-Based Learning and Game Design: Using game elements to enhance learning experiences or designing games for educational purposes.
• Equity, Diversity, and Inclusion in Online Learning: Addressing accessibility and fairness in digital learning environments.
• Fake News and Media Literacy: Examining how learners evaluate and navigate information in a digital world.
• Blended Learning and Flipping the Classroom: Combining online and face-to-face learning, and rethinking instructional strategies to maximize in-class time for active learning.

In addition to the in-class sessions, students will work on a group assignment in which they develop a practice-oriented research proposal related to 'Learning in a Digital World'.