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WorksheetsMobile E-Learning Quiz
Total questions: 35
Worksheet time: 20mins
What are mobile e-learning platforms?
Digital platforms or applications that provide educational content and resources through mobile devices.
Social media platforms that allow users to share educational content.
Websites that offer online courses for mobile users.
Physical classrooms equipped with mobile devices for learning purposes.
Name one popular mobile e-learning platform.
Udemy
Coursera
edX
Khan Academy
What are mobile e-learning apps?
Applications designed for delivering educational content through mobile devices.
Applications designed for delivering entertainment content through mobile devices.
Applications designed for delivering food through mobile devices.
Applications designed for delivering medical content through mobile devices.
Which type of devices are mobile e-learning apps designed for?
Tablets
Desktop computers
Mobile devices
Laptops
What are some common features of mobile e-learning apps?
video tutorials, virtual reality simulations, live streaming classes, offline access
gamification elements, discussion forums, language translation, offline access
flashcards, virtual reality simulations, progress tracking and reporting, personalized learning paths
interactive quizzes and assessments, multimedia content, progress tracking and reporting, personalized learning paths, social learning features
What are mobile e-learning strategies?
Methods and approaches used to deliver educational content through mobile devices.
Techniques for securing mobile devices.
Strategies for marketing mobile apps.
Ways to improve mobile phone battery life.
Name one effective mobile e-learning strategy.
Gamification
Long-form video lectures
Microlearning
Traditional classroom learning
What factors contribute to the effectiveness of mobile e-learning?
Factors that contribute to the effectiveness of mobile e-learning include slow internet connection, outdated technology, and limited storage capacity.
Factors that contribute to the effectiveness of mobile e-learning include accessibility, convenience, personalization, interactivity, and multimedia capabilities.
Factors that contribute to the effectiveness of mobile e-learning include lack of user engagement, poor user interface, and limited device compatibility.
Factors that contribute to the effectiveness of mobile e-learning include high cost, limited content, and lack of technical support.
What are the advantages of mobile e-learning over traditional e-learning?
Higher cost, limited access to resources, lack of personalization, lack of interactivity
Less flexibility, limited availability, lack of customization, lack of engagement
Inconvenience, restricted learning opportunities, lack of individualization, lack of collaboration
Accessibility, convenience, personalized learning experience, interactivity
What are some potential challenges of implementing mobile e-learning?
Limited screen size, compatibility issues, connectivity issues, and mobile device management.
High cost of implementation, Lack of technical support, Limited storage capacity
MALL stands for …
Mobile-assisted language learning
Mobile-assurance language learning
Mobility and advancement in language learning
Mobile-enhanced language learning
Mobile technologies offer benefits as follows, except …
Flexibility
User-friendliness
Quantity
Small size
MALL is defined as …
a way to enable people to learn through handheld devices due to its versatility, flexibility and interactivity
The average rating of the learners using mobile flashcards is
bigger than those using traditional flashcards
a method to enable people to learn through automobile due to its flexibility
any learning activity that is happening by taking the advantage of computer technology
How can teachers utilize social networking tools for their teaching activity?
By monitoring students’ life from their feeds
By asking students interacting with each other in a myriad of ways
By randomly follow native speakers and chat with them
By interacting asynchronously with anyone in the social media
The following are some benefits found in the use of video recording for students, EXCEPT…
integrating digital video recording into speaking course improves their oral communication
learners can do some meaningful repetitions to produce the best oral performance
video recording enables the learners to take risks in the target language
video recording increases students anxiety of speaking in front of the camera
This application is used as a micro-blogging app
Notes
Voice memory
Text message
Vlogging activity can help students improve their … skill in English
Speaking
Writing
Listening
Reading
Mobile phone feature that help students record interviews or conversations outside the classroom is …
Notes
Voice memory
Text message
The application used to do surveys is …
Notes
Skype
Polleverywhere
The application that allows the students to exchange native language verbally is …
Notes
Skype
Polleverywhere
What is Machine Learning? (Choose 3 Answers)
Artificial Intelligence
Machine Learning
Data Statistics
Deep Learning
Which one in the following is not Machine Learning disciplines?
Information Theory
Neurostatistics
Optimization + Control
Physics
from the picture, what kind of programming is it?
Traditional Programming
Modern Programming
Machine Learning
Traditional Learning
from the picture, what kind of programming is it?
Traditional Programming
Machine Learning
Modern Programming
Traditional Learning
What kind of learning algorithm for "Future stock prices or currency exchange rates"?
Recognizing Anomalies
Prediction
Generating Patterns
Recognition Patterns
What kind of learning algorithm for "Facial identities or facial expressions"?
Recognizing Anomalies
Prediction
Generating Patterns
Recognition Patterns
Which of the following is not type of learning?
Semi-unsupervised Learning
Unsupervised Learning
Supervised Learning
Reinforcement Learning
Real-Time decisions, Game AI, Learning Tasks, Skill Aquisition, and Robot Navigation are applications in ...
Unsupervised Learning: Clustering
Supervised Learning: Classification
Reinforcement Learning
Unsupervised Learning: Regression
Targetted marketing, Recommended Systems, and Customer Segmentation are applications in ...
Unsupervised Learning: Clustering
Supervised Learning: Classification
Reinforcement Learning
Unsupervised Learning: Regression
Fraud Detection, Image Classification, Diagnostic, and Customer Retention are applications in ...
Unsupervised Learning: Clustering
Supervised Learning: Classification
Reinforcement Learning
Unsupervised Learning: Regression
This picture shows a result of ...
Supervised Learning: Classification
Unsupervised Learning: Regression
Unsupervised Learning: Prediction
Supervised Learning: Regression
This picture shows an application of ...
Supervised Learning: Classification
Unsupervised Learning: Clustering
Unsupervised Learning: Prediction
Supervised Learning: Regression
Machine Learning has various function representation, which of the following is not function of symbolic?
Decision Trees
Rules in propotional Logic
Hidden-Markov Models (HMM)
Rules in first-order predicate logic
Machine Learning has various function representation, which of the following is not numerical functions?
Linear Regression
Support Vector Machines
Neural Network
Case-based
Machine Learning has various search/ optimization algorithms, which of the following is not evolutionary computation?
Perceptron
Genetic Algorithm (GA)
Neuro Evolution
Genetic Programming (GP)
