Welcome to OMS CS6460: Educational Technology!
Welcome! This is the landing page for the Georgia Tech OMS CS6460 class on Educational Technology.
This page provides general information about the course as a whole. If you are interested in information specifically about one particular offering of the course, such as a particular semester’s syllabus, calendar, and assignments, please see Past Semesters section below, or click here to jump straight to the current semester. This class is built heavily around the course library, a curated archive of publications, articles, projects, biographies, tools, videos, presentations, and original interviews on a number of topics in Educational Technology. To visit the library, click here.
Welcome to EdTech!
Welcome to the OMS offering of CS6460: Educational Technology! I’m excited to bring this class to you in the OMS program. As OMS students, you’re actively experiencing educational technology in action, and that uniquely suits you for both learning about it and contributing back to it. This course will be something of an experiment in the OMS program: whereas most classes are built on a foundation of pre-recorded video lectures, this class will have very few of these. Instead, this class is an experiment in administering a discussion-oriented graduate class in an asynchronous online environment. Thus, this class is as much an experiment in educational technology as it is a class on educational technology.
In order to succeed in this class, you should be able to answer yes to the following questions:
- Have you already fulfilled the foundational requirement for the program?
- Are you comfortable with writing several essays throughout the course of the class, including personal reflections, article responses, project proposals, and project reports?
- Are you comfortable with a class that requires significant participation via forum interactions and peer-to-peer feedback opportunities?
- Are you comfortable working in a group; or, alternatively, are you comfortable taking on a significantly-sized project on your own?
- Are you passionate about education, and ideally, do you already have some preliminary ideas regarding what tools you might like to build or questions you might like to research as part of this class?
- Are you comfortable with a class built on large, open-ended, student-driven projects rather than smaller, more narrowly-defined assignments and exams?
Note that prior experience with EdTech is not required beyond your prior OMS coursework. Note also that because they project is very open-ended, you’ll be able to define a project that is realistic within your technical qualifications. So, no specific programming knowledge is required. If you choose more of a research-oriented track, you may not need to do any programming at all.
This class is simultaneously an introductory course about educational technology and an advanced, project-oriented class on designing or researching technology’s intersection with education. As such, the course provides information about a large number of topics within educational technology, including pedagogical strategies, research methodologies, current tools, open problems, and broader issues. The scope of the material provided goes beyond what any one person could reasonably learn in a semester. Instead, you will select those areas that appeal to you or that support your ultimate project ideas. For example, if you’re interested in research, you may focus on the applicable research methodologies to your chosen area of investigation, relevant pedagogical strategies or theories, and the current state-of-the-art within that community. If you’re interested in design, you may focus on the relevant pedagogical strategies or theories for your chosen domain, the current popular tools within that domain, and open problems that need to be addressed.
This class is built on a number of pedagogical strategies, including project-based learning, authenticity, and apprenticeship. The ultimate goal, supported by these strategies, is that through this class you will make an actual contribution to the field of educational research, and start a project that could be continued even after the semester is over through academic publications, ongoing research programmes, start-up businesses, or deployment within the OMSCS program.
A learning goal is what you should know by the end of the class. The broad learning goal for this class is that, by the end of the class, you will have the requisite knowledge to make a real contribution to the Educational Technology field.
Even established experts in the field do not know everything, however, and neither will you. Instead, by the end of this class, you will have sufficient knowledge to contribute to the field in some way, though not every way. This means the learning goal of the class is determined in part by your own goals in taking this class:
- Are you interested in understanding how technology can help education more theoretically? Then your learning goals would include knowledge of research methodologies, promising pedagogical strategies, and current theories in the community.
- Are you interested in designing technologies that can help learners learn better? Then your learning goals would include knowledge of pedagogical strategies, current state-of-the-art tools, and the open problems in education and technology.
- Are you interested in evaluating existing technologies? Then your learning goals would include knowledge of research methodologies in user testing, current state-of-the-art tools, and broader issues surrounding the impact of such tools.
- Are you interested in contributing to the education enterprise more broadly, even if it isn’t at the point of learning? Then your learning goals would include knowledge of the current problems in the field, broader issues surrounding the use of tools in supporting education, and the present tools that address those problems.
By achieving these learning goals, you will end the class with the knowledge necessary to contribute to the portion of educational technology in which you are most interested.
If a learning goal is something you should know by the end of the course, then a learning outcome is something demonstrable you should be able to do. The learning goals were all partially dependent on your area of interest within educational technology, and thus, so also are the outcomes. The learning goals included the knowledge necessary to perform certain tasks, and thus, the learning outcomes are the actual performance of those tasks.
- Are you interested in understanding how technology can help education more theoretically? Then your learning outcome is the ability to design and conduct research or experiments in educational technology, to analyze the results, to report the results, and to position the results in the context of a broader research community.
- Are you interested in designing technologies that can help learners learn better? Then your learning outcome is the ability to design pedagogically sound tools for learning, to position those tools in the broader EdTech industry, and to present a case for the value of those tools.
- Are you interested in evaluating existing technologies? Then your learning outcome is the ability to design and conduct experiments on existing technologies, to gather and analyze participant feedback on those technologies, and to recommend changes that are both pedagogically sound and supported by research.
- Are you interested in contributing to the education enterprise more broadly, even if it isn’t at the point of learning? Then your learning outcome is the ability to design tools that support education in other areas besides teaching, to analyze the broader impacts of those tools, and to analyze the effectiveness of those tools compared to existing methods for addressing those problems.
By achieving these learning outcomes, you will end the class not only with the knowledge necessary to contribute, but also with experience in actually contributing.
If learning goals are what you should know, and learning outcomes are what you should be able to do, then learning assessments are how we evaluate whether you know what you should know and can do what you should be able to do. The learning goals and outcomes both connected to contributing to educational technology, and so the learning assessments in this course will be based on the extent to which you actually contribute to educational technology.
This contribution will take on different forms depending on your interests. It may be a research contribution to some academic community. It may be a tool to support learning in classrooms or non-traditional learning environments. It may be a technology to support a portion of the broader education enterprise, such as admissions or academic integrity. It may be a report on the effectiveness of certain existing tools or strategies in learning.
The ultimate goal is that the project you choose to take on in this class won’t end with the end of the semester; we hope your project continues on and leads to publications, ongoing research, a start-up business, or a tool we can continue to use here in the program. In order to maximize the chances of that happening, the assessments will include steps to get your work ready for publication or for a start-up pitch.
A number of learning strategies are employed to try to connect with these learning goals, outcomes, and assessments. Because this is a class on education, these strategies are also demonstrations of portions of the course content. Some of the learning strategies you will see are:
- Project-Based Learning. The entire class is built around a large project, defined by you, that itself should represent an authentic contribution to the EdTech community.
- Authenticity. The goal of this course is to make a real contribution to the field. Success in the course won’t just mean mastering some concepts in a controlled classroom environment; it will be creating a real, authentic contribution to educational technology.
- Apprenticeship. While TAs in most classes focus largely on grading, the primary function of TAs in this class is mentorship. You’ll interact closely with your mentor to develop your understanding, propose and scope your project idea, and deliver something valuable by the end of the semester.
Additional pedagogical strategies we’ll leverage heavily in this class include learning by doing, learning by teaching, learning by reflection, collaborative learning, communities of practice, and more.
One of the significant motivations behind creating this course was the number of students that expressed interest in experiencing research as part of their Master’s degree. To help facilitate this, we have drawn considerable inspiration in structuring this class from the ultimate research experience: getting a PhD.
Phase I: Acquiring Knowledge
The course starts with a few weeks of intensive study into the portion of educational technology in which you are most interested. You will use the library we provide as a starting point, but ultimately we hope and expect your research will take you outside the resources we have provided. This is the first learning goal in becoming a researcher: learning to gather and synthesize information from a community. During this time, you will write a number of reflective assignments both to reflect on what you’re learning and to share your growing understanding with your mentor and classmates. This is analogous to the first two years of a PhD, where new PhD students typically spend most of their time in extensive literature review to become experts in their field. This phase will last approximately four weeks.
Phase II: Demonstrating Mastery
Next, you will answer a targeted question about your areas of interest. This question will evaluate how ready you are to contribute to the field you have chosen. You will be asked a question that will require knowledge of your community or area of interest, the ability to reason about that community, and a perspective on how you might contribute to that community. This is the second learning goal in becoming a researcher: to understand a community well enough to participate in its conversations. This is analogous to the qualifier test of a PhD, an intense test at the end of the second year assessing a PhD student’s expertise in the community. This phase will last approximately one week.
Phase III: Proposing Projects
Then, you will propose your project. Using what you have learned from the community, you will propose something that will be a real contribution or expansion on the community’s current state of the art. As part of this proposal, you will describe the tool in context of the existing community, provide a statement of expected work, and detail a plan for achieving that work. This is the third learning goal in becoming a researcher: to know how to structure research or design such that it will ultimately lead to a useful contribution. This is analogous to the proposal phase of a PhD, where a PhD student will compile a detailed document describing what they will do for their ultimate dissertation. This phase will last approximately two weeks.
Phase IV: Executing Projects
Then, you will do your project. You’ll execute the plan of work that you stated in your proposal, ultimately creating a deliverable project. This is the fourth learning goal in becoming a researcher: to actually be able to execute the implementation of a tool or completion of some research and analysis. During this time, you will regularly share information and progress with your mentor to monitor for obstacles and ensure you stay on the path to completing the work by the completion date. This is analogous to the dissertation research phase of a PhD, where a PhD student actually performs the work they agreed to do in their proposal. This phase will last approximately nine weeks.
Phase V: Delivering Projects
Finally, you will actually deliver the results of your project. You’ll compile the tool you designed or the research you performed and share them with your mentor and the class as a whole. This is the fifth learning goal in becoming a researcher: to be able to disseminate the results of your work. This is analogous to the dissertation defense phase of a PhD, where a PhD student compiles their work into a dissertation and defends it in a dissertation defense presentation. As such, this will include three deliverables: the project itself (e.g. the tools, research results, designs, or other artifacts produced for the project), a paper (analogous to a dissertation), and a presentation (analogous to the dissertation defense. This phase will last approximately one week.
At the conclusion of this class structure, you will have a completed project, a publication-ready paper for submission to the most relevant conference or journal (if you so choose), and a presentation for sharing your work with classmates and other potentially interested parties. Note that although this course is structured around a research activity (that is, getting a PhD), we anticipate that this structure will be useful to those preferring to go into business or industry as well. The overall structure of gaining knowledge of a community, proposing a contribution to it, and delivering that contribution is fairly universal; here, we’ve merely borrowed the milestones and terminology from academia, but this process is similarly applicable to industry.
The above information is general to the OMS CS6460 class. For information about specific semesters, such as project information, calendars, and grading criteria, please select the specific semester below: