Research suggests that expert understanding is characterized by coherent mental representations featuring a high level of connectedness.
Category Archives: CIRCL Primer
A Review of Fundamentals and Influential Factors of Artificial Intelligence
Artificial intelligence (AI) is a trend that is currently leading to controversial discussions.
Algorithmic Fairness in Education
Data-driven predictive models are increasingly used in education to support students, instructors, and administrators. However, there are concerns about the fairness of the predictions and uses of these algorithmic systems.
Mining Big Data in Education: Affordances and Challenges
The emergence of big data in educational contexts has led to new data-driven approaches to support informed decision making and efforts to improve educational effectiveness.
What is AI Literacy? Competencies and Design Considerations
Artificial intelligence (AI) is becoming increasingly integrated in user-facing technology, but public understanding of these technologies is often limited.
Neural Network Models for Natural Language Processing
Over the past few years, neural networks have re-emerged as powerful machine-learning models, yielding state-of-the-art results in fields such as image recognition and speech processing.
In this brief introductory chapter, we present a bird’s-eye view of the conceptual landscape of situated cognition as seen from each of the three angles noted previously: embodiment, embedding, and extension.
Neuroscience and Education
Cyberlearning researchers and neuroscientists are beginning to explore new methods to understand connections between classroom practice, neuroscience, and educational neuroscience.
Assessing Computational Thinking
One of the primary challenges of computational thinking as an integrative, cross disciplinary competency is of assessment. In assessing CT, one could consider evaluating a student with regards to 3 dimensions of CT: computational concepts, computational practices, and computational perspectives.
Virtual Reality in Educational Settings
From a learning science perspective, VR ties into long-standing themes around how dynamic representations and visualization can support conceptual learning. It opens new opportunities to consider how affect and cognition are mutually supportive in learning processes. And it raises challenging issues of how groups collaborate in virtual spaces, or how learning moves among virtual and everyday group spaces and contexts.