Employability Skills Quiz

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Questions and Answers

What is a potential concern of AI-based systems that do not consider an individual's abilities and knowledge during the learning process?

  • User engagement
  • Algorithm bias (correct)
  • Data overfitting
  • Increased transparency

In the context of Natural Language Processing, which of the following is NOT typically a primary concern when developing an AI system?

  • Data normalization
  • Semantic understanding
  • Emotional intelligence (correct)
  • Syntactic parsing

Which of the following best describes a potential limitation of machine learning applications in educational settings?

  • Integration with diverse teaching resources
  • Adaptability to changing pedagogical methods
  • Over-reliance on historical data (correct)
  • Effectiveness at personalized learning

What aspect of self-driving technology can lead to safety concerns?

<p>Sensor fusion accuracy (C)</p> Signup and view all the answers

Which technology primarily enhances user experiences in augmented reality applications?

<p>Haptic feedback systems (A)</p> Signup and view all the answers

Which option represents a characteristic of Narrow AI?

<p>It is designed to perform specific tasks. (A)</p> Signup and view all the answers

Which phase of the AI life cycle includes defining the problem to be solved?

<p>Data Acquisition (C)</p> Signup and view all the answers

What is the primary purpose of Dimensionality Reduction in machine learning?

<p>To reduce the number of input features. (D)</p> Signup and view all the answers

Which ethics-related issue in AI refers to the fairness and impartiality in decision-making processes?

<p>Bias (B)</p> Signup and view all the answers

Which of the following processes assists in evaluating the effectiveness of various algorithms used?

<p>Evaluation (C)</p> Signup and view all the answers

Flashcards

Algorithm bias

Bias in an algorithm, occurring when it unfairly favors or disadvantages specific groups or individuals due to errors in the training data it was trained with.

AI-based learning system

A machine learning system that personalizes learning materials for students, considering factors such as gender, race, and socioeconomic status.

Hidden learning prospects

Possible future success that doesn't get recognized or supported due to incomplete understanding of a learner's abilities.

Ongoing learning

Learning that continues over time, responding to a learner's ability and knowledge progression.

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Personalized learning

Tailored education that matches individual student needs and learning patterns.

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Narrow AI's capabilities

Narrow AI can only perform specific tasks that a human can also perform.

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Incorrect AI life cycle step (Problem statement)

The "Problem Statement" stage should NOT be in the "Data Acquisition" phase of the AI life cycle, it should be before data acquisition.

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AI system characteristics test

The unscrambled letters for the test that demonstrates true AI characteristics is "HIETSCH".

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AI Ethics topics

AI ethics covers bias, explainability, and accountability in AI systems.

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Neural connection reinforcement

Neural connections supporting a desired output become stronger through repeated use.

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Study Notes

General Instructions

  • Read instructions carefully
  • Three sections: A, B, and C
  • Section A: 5 marks, 6 questions, Employability Skills
  • Section B: 15 marks, 20 questions, Subject-specific Skills
  • Section C: 5 marks, 7 questions, Competency-Based questions
  • Answer questions in correct order
  • Marks allotted for each section/question are given

Section A

  • Answer 5 out of 6 given questions
  • Question 1: Feedback considered descriptive
  • Question 2: Imperative sentence selection
  • Question 3: Motivation type demonstrated by Ashish
  • Question 4: Self-motivation and anxiety/boredom statement correctness
  • Question 5: Folder copy steps reordering
  • Question 6: Antivirus software example exclusion

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