29 Questions
What type of AI does the work of Frank Rosenblatt in 1958 contribute to?
Data-based Neural AI
Which type of AI focuses on logical inferences and expert systems?
Knowledge-based AI
In supervised learning, what do machines create based on input patterns?
Collection of output classes
What was the focus of AI research in the 1970s as acknowledged by scholars?
Symbolic processing
What did Friedrich Hayek's work suggest about learning in biological neural networks?
Modelled as gradual change in network connections
What is the key assumption made in supervised learning?
Mapping input patterns into output classes
What is the main focus of Intelligent Tutoring Systems (ITS) according to the passage?
Generating teacher interfaces
What does the Swedish company 'Lexplore' specialize in based on the passage?
Detecting dyslexia difficulties
What is the primary use of learning analytics and educational data mining (EDM) as mentioned in the passage?
Monitoring student learning
How have AI-based systems been successfully used in the fields of autism spectrum disorder and ADHD diagnosis?
Using data-based pattern recognition
Why was the focus switched to using AI and machine learning for generating teacher interfaces according to the passage?
To develop ITS for broad learning domains
What is a common limitation of supervised learning methods?
They can only see the world as a repetition of the past
Why are supervised learning models said to hardwire cultural beliefs?
Because they are only trained on specific predefined data
Which type of learning represents the developmentally simplest model of learning?
Pavlovian theory of reflexes
What feature makes 'transfer learning' a valuable variant of supervised learning?
Capability to re-use learned features in new tasks
What distinguishes supervised learning from unsupervised learning in terms of perceiving worlds?
Supervised learning limits machines to predefined perceptions of the world
How do large amounts of training data help in neural network training for transfer learning?
They facilitate discerning important features and patterns in data
What does SMD measure?
Similarity in magic numbers
How is SMN calculated?
Extracting and comparing numeric constants
What is the purpose of SCF?
Counting the number of common source code lines
Which feature compares the number of for and while loops?
NL
What does SSL focus on comparing?
String literals
How is SIC calculated?
Comparing whitespace tokens
What is the primary focus of systems like MOSS and JPlag?
Scanning for identical comments or whitespace in assignments
Why must neural networks be trained to recognize plagiarism cases?
To distinguish between cheating and non-cheating cases
What are the target output values for plagiarism cases in the neural network?
Binary values showing whether plagiarism has occurred
How does MOSS measure the similarity of comments?
By extracting comments from submissions and measuring common lines
What is the purpose of 'Similarity of Misspelled Comments (SMC)'?
To check for misspelled words in comments using ASpell
Which feature does 'Similarity of Comments (SOC)' focus on?
Measuring common lines in extracted comments
This quiz covers topics related to three types of AI in Education, focusing on Data-based Neural AI, Logic-based AI, and Knowledge-based AI. Specific topics include Neural Networks and important contributions by Frank Rosenblatt in 1958.
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