Course Syllabus

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Purpose

This course discusses the theory, concepts, and development methods utilized in building artificial intelligence, AI-enabled data analytics, and how AI-based data analytics is used in LMS for instructional purposes.

Description

This course will focus at how Artificial Intelligence, AI-enabled data analytics and how it is applied to improve educational results in K-12 settings. We will discuss about how AI-enabled data analytics in LMS may be utilized to recognize which activities students are struggling with and need more instructional help to complete in order to meet their learning objectives. Improving educational methodologies and human resource allocation decisions in order to increase overall organizational performance throughout time.

Instructor Contact

Amulya Akinapuram

Email: amulyaakinapuram@my.unt.edu

 

Teaching assistant:

Student TA

Email: studentTA@my.unt.edu

Required Text

  • Jay Liebowitz. (2020). Data Analytics Application: Data Analytics and AI (1st ed.). CRC press.
  • Fadel, C. (2019). Artificial intelligence in education: Promises and implications for teaching and learning.

Class Meetings

Online meetings will be held regularly via Zoom. Online meeting dates/times will be determined at the first class meeting.

Course Structure

This course takes place 100% online. We will have a three(3) synchronous video conference meetings using Zoom throughout the course. Other than that, your interaction with me and with your fellow students will take place in Canvas discussion forums. There are 3 weeks of content that you will move through.

Course Outcomes

Upon successful completion of this course, learners will be able to (numbered in order of presentation):

  1. Learners will show knowledge of Artificial Intelligence- (AI) used in education and training settings.
  2. Learners will show knowledge of Data Analytics used in education and training settings.
  3. Learners will identify the potential and actual value of different AI-infused Data analytics products in education and training settings.
  4. Learners build an AI-based data analytics learning management system that displays which activities students struggle with and alternative ways for improvement.

Prerequisites

There are no required prerequisites for this course. However, in order to be successful in this course you will need to:

  • Cite sources, giving credit to where you obtain information.
  • Network with others and utilize tact when offered differing perspectives.
  • Make the commitment to spend at least 3 hours a week reading the assignments, reflecting on the material covered, and participating in other activities throughout the course.

Online Course Technology Requirements & Skills

Technology Requirements

Please familiarize yourself with the technology requirements to complete this online course:

Technology Skills

Minimum technology skills for successful completion of this course include:

Online Rules of Engagement

Online Rules of Engagement (Links to an external site.) refers to the way students are expected to interact with each other and with their instructors online.

University Library Services

Using Your University Libraries 

Please reference this list of library services to enhance your discovery and use of library research materials. Simply click on the links below to learn more about the services. Feel free to direct any questions and concerns to AskUs@unt.edu.

Library Accessibility & Services for Persons with Disabilities

UNT Libraries strive to maintain reasonable accommodations for users with disabilities. Any library user with a disability that will require additional accommodations regarding software or equipment must present a written request to Scott Jackson, Assistant Dean for Library Facilities and Systems, via email at Scott.Jackson@unt.edu, or directly at (940) 565-3024.

Search & Study Resources

Search the library catalog (Links to an external site.) by entering your search terms, and we'll grab results from multiple systems. Find books, music, media, journals, as well as other physical and electronic materials owned by the libraries. 

Requesting Materials

You may be eligible to request and have library owned items delivered (Links to an external site.) to you at no charge. This service includes mailing of physical items, such as books, and electronic delivery of items, such as articles. Use the link to learn more about eligibility, types of available materials, renewal process,  and requests for items not owned by the UNT Libraries. 

Search Course Reserve Materials

Search the course reserve materials (Links to an external site.) for assigned readings. The UNT Libraries holds and distributes materials for faculty members that are required or recommended reading in their courses. These materials are placed at a reserve desk within the libraries or are made available online and can include books, articles, chapters of books, sample tests, homework solutions, videos, CDs, and DVDs.

Renew Library Materials

If you have not finished using an item within the normal checkout period, you can sometimes renew library materials online (Links to an external site.). Not all items are eligible for renewal, and some special rules apply depending on the type of item borrowed.

Request An Inter-library Loan

Do you need a book, a chapter, article, or other item that UNT doesn’t own or subscribe to? Typically, you can request materials from another institution through Interlibrary Loan (Links to an external site.). Use the link to learn more about eligibility, types of available materials, checking the status of an order, length of loans, and your responsibilities when using the service.

Advanced Research & Discovery

Search Online Databases

Academic databases (Links to an external site.) are collections of information that are commonly used for research and writing, including access to academic journals. Databases are an irreplaceable asset in your discovery and review of academic subjects, topics, and studies.

Search Online Articles

Narrow down your search for online articles (Links to an external site.) by using options such as publication data, scholarly/peer-reviewed, content type, discipline, and more. 

Request an Appointment with your Subject Librarian

Subject Librarians (Links to an external site.) are here to help you! They can help with information literacy instruction as well as help with appropriate technologies, tools, and information resources to meet your needs and course expectations. Schedule a private appointment by directly emailing the Subject Librarian (Links to an external site.) for your discipline.

Library Technology

Off-campus Access

Off-campus access (Links to an external site.) to electronic databases provided by UNT Libraries can be accessed by any UNT student, faculty, or staff member from virtually any computer in the world. Search here for more information on materials and resources available while studying and researching off-campus.

Subject & Course Guides

Subject guides are resources selected by Subject Librarians (Links to an external site.) (Links to an external site.) for your discipline. Course guides are a collection of course specific resources that will help you conduct the research necessary to complete your assignments and projects.

To see the Subject Guides and/or to see if your course has a Course Guide, please visit the Subject Guides & Course Guides: Directory (Links to an external site.).  There are also a few other guides for "Getting Started" and "Beyond the Basics."

Research Workshops

The Toulouse Graduate School and UNT Libraries provide a variety of research and other professional development workshops for all students. Please see the Upcoming Workshops (Links to an external site.) for a workshop description, presenter information, available Live Online Stream option (Zoom), and to register.  If you have questions about the workshops, you can contact Vesta Stacy at Vesta.Stacy@unt.edu. 

Communication

If you have a private question, please contact me via email and I will usually respond within 24 hours on weekdays.

Announcements are used to let everyone know when it can be expected. You can expect to see me participate in the discussion board after all student original posts have been posted - usually on the Friday of the first week of the module.

Course policies

Course activities

Assignments are due when it says they are due here in the syllabus. It is students' job to self-monitor and maintain their timeline as a professional.

Readings Notes

You will take notes on your readings weekly with a template and submit these. They will also act as your study guides for the three exams.

Quiz questions

You will produce 5 quiz questions most weeks as part of showing you understand the major concepts taught in the readings in each week. The professor will select from your questions to include in the major assessments.

Assessments

There will be one major examinations taking place in the end of Week 2.

Synchronous participation

We will have three synchronous meetings in Zoom. These are NOT optional, so be present. Online attendance and class participation counts as 10% of your class grade when totaling your synchronous and asynchronous interaction. This means if you don’t show, no “A.” This goes for both the face-to-face and online. Discourse is essential to learning, so you need to be present and speak. 

Asynchronous participation

You will engage in discussions with peers and instructor using Canvas forums. We will have specific topics and question prompts to respond to there.

Case Studies

You will produce one case study analyzing individual cases of AI-enabled Data Analytic tools used in education.

Final Project

Your final project consists of the building an AI-based data analytics that displays which activities students struggle with and alternative ways for improvement.

Reflections

You will have almost weekly reflections to help you process and think through what you learned. These will be done in an online blog using Wix or WordPress

Grade scoring

Grading weights for course products are as follows:

  • Quiz questions: 10%
  • Synchronous participation – 5%
  • Asynchronous participation – 5%
  • Assessments (1 Exam): 10%
  • Case Study: 20%
  • Readings Notes: 10%
  • Final Project: 30%
  • Reflections: 10%

Late work policy

No late assignments will be accepted, graded, or given feedback. If you have a special case and need an extension, you need to contact the instructor before the deadline and ask for the extension.

In other words, you will receive a ZERO (0) for the late assignment unless you have worked out an agreement with the instructor BEFORE the due date.

Course grade averages

Grades will be calculated by the following scale:

 A = 90% or more

 B = 80 to 89.9%

 C = 70 to 79.9%

 D = 60 to 69.9%

 F = Below 60%

Course Summary:

Course Summary
Date Details Due