ITE 111: Digital Literacy in the 21st Century

Course Description

Digital Literacy for the 21st Century: Navigating the Digital Landscape is an 8-week course designed to equip students with essential knowledge and skills to thrive in the digital age. This course covers various aspects of digital literacy, including digital tools and online communications technology, artificial intelligence, machine learning, and generative artificial intelligence, cybersecurity, and ethical considerations involved with cutting edge digital tools. Students will gain a general understanding of these topics and obtain the ability to explain the key concepts and apply them to an examination of how such technology may impact their field of study (3 credits)

Prerequisite

None

Student Learning Outcomes (SLOs)

Students who successfully complete this course will be able to:

Apply current, relevant technologies to identify and solve problems, make informed decisions, communicate, create information/data, and protect information/data.
Demonstrate proficiency in digital media and environments to communicate and work effectively in person, hybrid format, and/or at a distance.
Explore and evaluate various digital tools for communication, productivity, and collaboration.
Define the high-level principles of Artificial Intelligence (AI), Machine Learning (ML), and Generative AI.
Identify and explain the key components of AI/ML and Generative AI and explain key features, positive and negatives associated with each.
Identify the importance of cybersecurity, the key terminology, and the risks associated with data privacy.
Identify ethical considerations in the use of digital technologies and articulate the importance and risks of digital accessibility and AI/ML equity issues.
Investigate generative AI’s use to improve writing samples, ideate, and look up key information, and look up key information.
Remember key data terms and explore basic data analysis concepts.

Course Activities and Grading

Assignments	Weight
Discussion (20 Pts per week, Weeks 1-8)	16%
Weekly Exams (5 Pts per, Weeks 1, 3-8)	4%
Exercises/Short (60 Pts per, Weeks 1, 2, 5, 8)	24%
Group Exercises (20 Pts per, Weeks 2, 4, 6)	6%
Mid Length Essay (250 Pts per, Week 4)	25%
Final Presentation (250 Pts per, Week 7)	25%
Total	100%

Required Textbooks

This course uses Open Educational Resources (OER). OER are openly licensed, educational resources that can be used for teaching, learning and research. OER may consist of a variety of resources such as textbooks, videos and software that are at little or no cost for students.

Course Schedule

** Items are in Packback. Follow the instructions in BlackBoard for the link.

BB – Items are submitted in BlackBoard

Week	SLOs	Readings and Exercises	Assignments
1	1,2,3,9	Topic: Digital Communication tools Working in Virtual Teams – Week 7 Microsoft Teams Information System for Business and Beyond, Chapter 5 Short essay Quiz	Review Getting Started information Review course syllabus Read assigned materials Watch Lecture Introduce yourself in discussion forum (BB) Participate in discussion Complete activities and submit Essay Take quiz
2	1,9	Topic: Role of Data Understanding Data – video course series Statistical Thinking – written section Short Essay Teams Group exercise	Review project assignment information View and read assigned materials Watch lecture Participate in discussion 1 Page Essay Teams group exercise (BB)
3	1,4,5	Topic: Artificial Intelligence (AI) The People’s Guide to AI/ML sections 1-3 Start Research for Midterm paper Quiz	Read assigned materials Watch lecture Participate in discussions** Take quiz Begin research for Midterm paper
4	1,2,3,4,5,8	Topic: Generative AI Information System for Business and Beyond, Chapter 13 Midterm Paper** Group Teams Exercise Quiz	Read assigned materials Watch lecture Participate in discussions Group Exercise Submit Midterm paper Submit Project Topic Take Quiz
5	1,3,9	Topic: Data Analysis & Productivity tools Information System for Business and Beyond, Chapter 12 Watch Customer Relationship Management (CRM) Systems and IMC GenAIExercise Quiz	Review Project assignment information and contact the professor if you have questions Read assigned materials Watch CRM Systems Watch Lecture material Participate in discussions** Submit GenAIassignment (BB) Short Essay Quiz
6	1,2,3,4,5,6	Topic: Cybersecurity Information System for Business and Beyond, Chapter 8 The Growing Role of AI/ML in Data Security What is Cybercrime Video Group Teams Exercise (full draft of presentation should be done) Quiz	Read assigned materials Watch CRM Systems Watch Lecture material Participate in discussions** Teams Exercise Quiz
7	1-7,9	Topic: Data Ethics & Legal Information System for Business and Beyond, Chapter 9 Group Teams Final Presentation Quiz	Read assigned chapters Watch lecture material Participate in discussions** Final Teams Presentation Recording Quiz
8	1,5,7,9	Topic: Bias & The Digital Divide People’s guide to AI, Section 4 Facial Recognition – A Primer Short Essay** Quiz	Read assigned chapters Watch the lecture material Participate in discussion Short Essay Quiz Complete Course Evaluation
8	Final Presentation Upload Final Presentation to Discussion Board

COSC Accessibility Statement

Charter Oak State College encourages students with disabilities, including non-visible disabilities such as chronic diseases, learning disabilities, head injury, attention deficit/hyperactive disorder, or psychiatric disabilities, to discuss appropriate accommodations with the Office of Accessibility Services at OAS@charteroak.edu.

COSC Policies, Course Policies, Academic Support Services and Resources

Students are responsible for knowing all Charter Oak State College (COSC) institutional policies, course-specific policies, procedures, and available academic support services and resources. Please see COSC Policies for COSC institutional policies, and see also specific policies related to this course. See COSC Resources for information regarding available academic support services and resources.