Learning Unbound: Student Centered and Competency Based Programs
Thursday, December 17, 2 PM ET
Core tenets of student-centered learning – competency-based, anytime-anywhere, personalized, and student ownership – can be used as the basis for creating customized learning plans that match the interests, talents, and passions of students. During this session, attendees will learn how a new model at New Hampshire’s Virtual Learning Academy Charter School (VLACS) provides students with an almost limitless number of opportunities, including early college courses, experiential learning, learning through projects, and with a team of peers.
How Nightingale College Moved 70 Students to CBE in Just 2 Weeks
WEBINAR | December 8, 2015 | 1:00pm ET
Chances are, you’ve heard of competency-based education (CBE). Your institution may be just starting to explore CBE, or you might already be developing some courses or programs and would like to learn more. That’s why we’ve invited Nightingale College to talk about how they got started with CBE and how they were able to roll it out to 70 students in just two weeks.
Nightingale College wanted to start offering competency-based courses but quickly ran into problems because their LMS couldn’t support it.
Join us on December 8 for a live webinar with Nightingale College to find out:
• Why CBE is an ideal model for their “nontraditional” students • How they support self-paced learning and use tools to track student progress • What the initial program results are, including feedback from students and faculty • Why they chose Brightspace as their technology platform for CBE course delivery
it will help you visualize better the issues discussed in the article, if you haven’t visited the CAVE lab with Mark Gill yet.
What is the difference between the CAVE, Oculust Quest (the black goggles from the Jan 21 lab) and Google Cardboard? Please let me know, if you would like to discuss.
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During the Jan 28 lecture, you discussed numerous methods, frameworks and theories. This blog has plenty of materials regarding those topics. You scroll up to the search box in the upper right corner and search using the following key words:
Defining Online Education
The term “online education” has been used as a blanket phrase for a number of fundamentally different educational models. Phrases like distance education, e-Learning, massively open online courses (MOOCs), hybrid/blended learning, immersive learning, personalized and/or adaptive learning, master courses, computer based instruction/tutorials, digital literacy and even competency based learning have all colored the definitions the public uses to define “online education.”
online education” as having the following characteristics:
Students who enroll in online courses or programs may reside near or far from the campus(es) providing the course(s) or program.
A student’s course load may include offering where attendance is required in person or where an instructor/students are not required to be in the same geographic location.
Students may enroll in one or more individual online course offerings provided by one or more institutions to that may or may not satisfy degree/program requirements.
Student may pursue a certificate, program, or degree where a substantial number of courses, perhaps all, are taken without being in the same geographic location as others.
Organizational Effectiveness Research Group (OERG),
As the workgroup considered strategies that could advance online education, they were asked to use the primary and secondary sources listed above to support the fifteen (15) strategies that were developed
define a goal as a broad aspirational outcome that we strive to attain. Four goal areas guide this document. These goal areas include access, quality, affordability and collaboration. Below is a description of each goal area and the assumptions made for Minnesota State.
Access
Over twenty percent of existing Minnesota State students enroll in online courses as a way to satisfy course requirements. For some students, online education is a convenient option; for others, online is the only option available
Quality
The Higher Learning Commission (HLC) accreditation guidelines review the standards and processes institutions have in place to ensure quality in all of educational offerings, including online.
There are a number of ways in which institutions have demonstrated quality in individual courses and programs including the evaluation of course design, evaluation of instruction and assessment of student
Affordability
a differential tuition rate to courses that are offered online. If we intend to have online education continue to be an affordable solution for students, Minnesota State and its institutions must be good stewards of these funds and ensure these funds support online education.
Online education requires different or additional services that need to be funded
transparency is important in tuition setting
Collaboration
Distance Minnesota is comprised of four institutions Alexandria Technical & Community College, Bemidji State University, Northland Community & Technical College, and Northwest Technical College) which collaborate to offer student support services, outreach, e-advising, faculty support, and administrative assistance for online education offerings.
Strategies
strategies are defined as the overall plan used to identify how we can achieve each goal area.
Action Steps
Strategy 1: Ensure all student have online access to high quality support services
students enrolled in online education experiences should have access to “three areas of support including academic (such as tutoring, advising, and library); administrative (such as financial aid, and disability support); and technical (such as hardware reliability and uptime, and help desk).”
As a system, students have access to a handful of statewide services, include tutoring services through Smarthinking and test proctoring sites.
Strategy 2: Establish and maintain measures to assess and support student readiness for online education
A persistent issue for campuses has been to ensure that students who enroll in online course are aware of the expectations required to participate actively in an online course.
In addition to adhering to course expectations, students must have the technical competencies needed to perform the tasks required for online courses
Strategy 3: Ensure students have access to online and blended learning experiences in course and program offerings.
Strategy 4: These experiences should support and recognize diverse learning needs by applying a universal design for learning framework.
The OERG report included several references to efforts made by campuses related to the providing support and resources for universal design for learning, the workgroup did not offer any action steps.
Strategy 5: Expand access to professional development resources and services for faculty members
As online course are developed and while faculty members teach online courses, it is critical that faculty members have on-demand access to resources like technical support and course assistance.
5A. Statewide Faculty Support Services – Minnesota State provide its institutions and their faculty members with access to a centralized support center during extended hours with staff that can assist faculty members synchronously via phone, chat, text/SMS, or web conference
5C. Instructional Design and Technology Services – Establish a unit that will provide course design and instructional technology services to selected programs and courses from Minnesota State institutions.
Quality
Strategy 1: Establish and maintain a statewide approach for professional development for online education.
1B. Faculty Mentoring – Provide and sustain faculty mentoring programs that promote effective online pedagogy.
1C. Professional development for support staff – including instructional designers, D2L Brightspace site administrators and campus trainers, etc.)
Mobile computing, cloud computing, and data-rich repositories have altered ideas about where and how learning takes place.
designers can find themselves filling a variety of roles. They might design large, complex systems or work with faculty and departments to develop courses and curricula. They might migrate traditional resources to mobile or adaptive platforms. They might help administrators understand the value and potential of new learning strategies and tools. Today’s instructional designer might work with subject-matter experts, coders, graphic designers, and others. Moreover, the work of an instructional designer increasingly continues throughout the duration of a course rather than taking place upfront
Given the expanding role and landscape of technology—as well as the growing body of knowledge about learning and about educational activities and assessments—dedicated instructional designers are increasingly common and often take a stronger role.
Competency based learning allows students to progress at their own pace and finish assignments, courses, and degree plans as time and skills permit. Data provided by analytics systems can help instructional designers predict which pedagogical approaches might be most effective and tailor learning experiences accordingly. The use of mobile learning continues to grow, enabling new kinds of learning experiences.
In some contexts, instructional designers might work more directly with students, teaching them lifelong learning skills. Students might begin coursework by choosing from a menu of options, creating their own path through content, making choices about learning options, being more hands-on, and selecting best approaches for demonstrating mastery. Educational models that feature adaptive and personalized learning will increasingly be a focus of instructional design.
Instructional designers bring a cross-disciplinary approach to their work, showing faculty how learning activities used in particular subject areas might be effective in others. In this way, instructional designers can cultivate a measure of consistency across courses and disciplines in how educational strategies and techniques are incorporated.
There is reason to believe that shorter, competency-based programs will play an important role in the university landscape in the coming years.
Australian commentator Stephen Matchett expands: “MCs are the wild west of post-compulsory education and training, with neither law on what they actually are or order as to how they interact with formal providers. … Until (or if) this is sorted by regulators there needs to be a sheriff providing workable rules that stop the cowboys running riot.”
The lack of standards is also an issue in Canada. While degree standards have been agreed upon – the Canadian Degree Qualification framework, contained in the Council of Ministers of Education, Canada (CMEC)’s 2007 Ministerial Statement on Quality Assurance of Degree Education in Canada, outlines expectations for bachelor’s, master’s, and doctoral degrees – the CMEC has yet to issue a pan-Canadian framework for microcredentials.
In the absence of a pan-Canadian model or definition, for the purposes of this column I will use the Higher Education Quality Council of Ontario (HEQCO)’s definition, put forward in its May 2021 report, Making Sense of Microcredentials:
“A microcredential is a representation of learning, awarded for completion of a short program that is focused on a discrete set of competencies (i.e., skills, knowledge, attributes), and is sometimes related to other credentials.”
Developing and running effective microcredential programs is not simply a matter of bundling a group of existing classes into a new sub-degree level program (although there will certainly be some who try that approach). Effective microcredential programming needs to be an institution-wide effort, with appropriate resourcing and guidelines, along with effective recruiting and student support.
department chairs and other unit leaders to lead collegial discussions about the following questions:
Gaps: who is not being served by our current degree offerings? Is there potential demand for our disciplinary knowledge and skills from people who don’t want a full degree program? Are there ways people could upgrade their skills by taking certain types of our courses? Can we identify potential short programs to meet new, distinct learning outcomes?
Student diversity: are there opportunities to develop short programs that could introduce a new demographic of students to our discipline? How might microcredentials be developed that meet the needs and interests of Indigenous students, first-generation students, or international students?
Connection: how might we create partnerships with external organizations to inform our understanding of skill-training needs? Can these partnerships be leveraged to create new career pathways for students, and/or new research opportunities for faculty, postdocs, and graduate students?
Impact: in what ways do our discipline’s insights relate to Canada’s current and future public needs? How might our disciplinary knowledge be combined with knowledge from other disciplines to train students to help address particular challenges? In what ways could our discipline contribute to student competency development that we consider meaningful and impactful?
Today, despite major advances in ways to measure learning, we still don’t have common definitions for project-based learning or performance assessment.
In the absence of agreed-upon definitions for this evolving field, Education Week reporters developed a glossary
Proficiency-based or competency-based learning: These terms are interchangeable. They refer to the practice of allowing students to progress in their learning as they master a set of standards or competencies. Students can advance at different rates. Typically, there is an attempt to build students’ ownership and understanding of their learning goals and often a focus on “personalizing” students’ learning based on their needs and interests.
Project-based learning: Students learn through an extended project, which may have a number of checkpoints or assessments along the way. Key features are inquiry, exploration, the extended duration of the project, and iteration (requiring students to revise and reflect, for example). A subset of project-based learning is problem-based learning, which focuses on a specific challenge for which students must find a solution.
Standards-based grading: This refers to the practice of giving students nuanced and detailed descriptions of their performance against specific criteria or standards, not on a bell curve. It can stand alone or exist alongside traditional letter grading.
Performance assessment: This assessment measures how well students apply their knowledge, skills, and abilities to authentic problems. The key feature is that it requires the student to produce something, such as a report, experiment, or performance, which is scored against specific criteria.
Portfolio: This assessment consists of a body of student work collected over an extended period, from a few weeks to a year or more. This work can be produced in response to a test prompt or assignment but is often simply drawn from everyday classroom tasks. Frequently, portfolios also contain an element of student reflection.
Exhibition: A type of performance assessment that requires a public presentation, as in the sciences or performing arts. Other fields can also require an exhibition component. Students might be required, for instance, to justify their position in an oral presentation or debate.
Performance task: A piece of work students are asked to do to show how well they apply their knowledge, skills, or abilities—from writing an essay to diagnosing and fixing a broken circuit. A performance assessment typically consists of several performance tasks. Performance tasks also may be included in traditional multiple-choice tests.
Embracing online school requires a new mindset, as well as new criteria for measuring academic success—measures that take into account the nature of teaching and learning online, the types of students online schools serve, and the unique ways in which those students learn.
Teachers interact with students during synchronous learning sessions, and they connect one-on-one through calls, online chats, texts, and interactive whiteboard sessions.
Accountability measures must adapt to and reflect a self-paced, competency-based learning environment. A traditional one-size-fits-all rubric does not translate cleanly with respect to online schools.
Ungerer, L. M. (2016). Digital Curation as a Core Competency in Current Learning and Literacy: A Higher Education Perspective. The International Review of Research in Open and Distributed Learning, 17(5). https://doi.org/10.19173/irrodl.v17i5.2566
Dunaway (2011) suggests that learning landscapes in a digital age are networked, social, and technological. Since people commonly create and share information by collecting, filtering, and customizing digital content, educators should provide students opportunities to master these skills (Mills, 2013). In enhancing critical thinking, we have to investigate pedagogical models that consider students’ digital realities (Mihailidis & Cohen, 2013). November (as cited in Sharma & Deschaine, 2016), however warns that although the Web fulfils a pivotal role in societal media, students often are not guided on how to critically deal with the information that they access on the Web. Sharma and Deschaine (2016) further point out the potential for personalizing teaching and incorporating authentic material when educators themselves digitally curate resources by means of Web 2.0 tools.
p. 24. Communities of practice. Lave and Wenger’s (as cited in Weller, 2011) concept of situated learning and Wenger’s (as cited in Weller, 2011) idea of communities of practice highlight the importance of apprenticeship and the social role in learning.
criteria to publish a paper
Originality: Does the paper contain new and significant information adequate to justify publication?
Relationship to Literature: Does the paper demonstrate an adequate understanding of the relevant literature in the field and cite an appropriate range of literature sources? Is any significant work ignored?
Methodology: Is the paper’s argument built on an appropriate base of theory, concepts, or other ideas? Has the research or equivalent intellectual work on which the paper is based been well designed? Are the methods employed appropriate?
Results: Are results presented clearly and analyzed appropriately? Do the conclusions adequately tie together the other elements of the paper?
Implications for research, practice and/or society: Does the paper identify clearly any implications for research, practice and/or society? Does the paper bridge the gap between theory and practice? How can the research be used in practice (economic and commercial impact), in teaching, to influence public policy, in research (contributing to the body of knowledge)? What is the impact upon society (influencing public attitudes, affecting quality of life)? Are these implications consistent with the findings and conclusions of the paper?
Quality of Communication: Does the paper clearly express its case, measured against the technical language of the field and the expected knowledge of the journal’s readership? Has attention been paid to the clarity of expression and readability, such as sentence structure, jargon use, acronyms, etc.
Stanton, K. V., & Liew, C. L. (2011). Open Access Theses in Institutional Repositories: An Exploratory Study of the Perceptions of Doctoral Students. Information Research: An International Electronic Journal, 16(4),
We examine doctoral students’ awareness of and attitudes to open access forms of publication. Levels of awareness of open access and the concept of institutional repositories, publishing behaviour and perceptions of benefits and risks of open access publishing were explored. Method: Qualitative and quantitative data were collected through interviews with eight doctoral students enrolled in a range of disciplines in a New Zealand university and a self-completion Web survey of 251 students. Analysis: Interview data were analysed thematically, then evaluated against a theoretical framework. The interview data were then used to inform the design of the survey tool. Survey responses were analysed as a single set, then by disciple using SurveyMonkey’s online toolkit and Excel. Results: While awareness of open access and repository archiving is still low, the majority of interview and survey respondents were found to be supportive of the concept of open access. The perceived benefits of enhanced exposure and potential for sharing outweigh the perceived risks. The majority of respondents were supportive of an existing mandatory thesis submission policy. Conclusions: Low levels of awareness of the university repository remains an issue, and could be addressed by further investigating the effectiveness of different communication channels for promotion.
PLEASE NOTE:
the researchers use the qualitative approach: by interviewing participants and analyzing their responses thematically, they build the survey.
Then then administer the survey (the quantitative approach)
How do you intend to use a mixed method? Please share
Metaphors: A Problem Statement is like… metaphor — a novel or poetic linguistic expression where one or more words for a concept are used outside normal conventional meaning to express a similar concept. Aristotle l The DNA of the research l A snapshot of the research l The foundation of the research l The Heart of the research l A “taste” of the research l A blueprint for the study
digital object identifier (DOI) is a unique alphanumeric string assigned by a registration agency (the International DOI Foundation) to identify content and provide a persistent link to its location on the Internet. The publisher assigns a DOI when your article is published and made available electronically.
Why do we need it?
2010 Changes to APA for Electronic Materials Digital object identifier (DOI). DOI available. If a DOI is available you no longer include a URL. Example: Author, A. A. (date). Title of article. Title of Journal, volume(number), page numbers. doi: xx.xxxxxxx
Accodring to Sugimoto et al (2016), the Use of social media platforms for by researchers is high — ranging from 75 to 80% in large -scale surveys (Rowlands et al., 2011; Tenopir et al., 2013; Van Eperen & Marincola, 2011) .
There is one more reason, and, as much as you want to dwell on the fact that you are practitioners and research is not the most important part of your job, to a great degree, you may be judged also by the scientific output of your office and/or institution.
In that sense, both social media and altimetrics might suddenly become extremely important to understand and apply.
Shortly altmetrics (alternative metrics) measure the impact your scientific output has on the community. Your teachers and you present, publish and create work, which might not be presented and published, but may be widely reflected through, e.g. social media, and thus, having impact on the community.
How such impact is measured, if measured at all, can greatly influence the money flow to your institution
For EVEN MORE information, read the entire article:
Sugimoto, C. R., Work, S., Larivière, V., & Haustein, S. (2016). Scholarly use of social media and altmetrics: a review of the literature. Retrieved from https://arxiv.org/abs/1608.08112
Thelwall, M., & Wilson, P. (2016). Mendeley readership altmetrics for medical articles: An analysis of 45 fields. Journal of the Association for Information Science and Technology, 67(8), 1962–1972. https://doi.org/10.1002/asi.23501
Todd Tetzlaff is using Mendeley and he might be the only one to benefit … 🙂
Here is some food for thought from the article above:
Doctoral students and junior researchers are the largest reader group in Mendeley ( Haustein & Larivière, 2014; Jeng et al., 2015; Zahedi, Costas, & Wouters, 2014a) .
Studies have also provided evidence of high rate s of blogging among certain subpopulations: for example, approximately one -third of German university staff (Pscheida et al., 2013) and one fifth of UK doctoral students use blogs (Carpenter et al., 2012) .
Social data sharing platforms provide an infrastructure to share various types of scholarly objects —including datasets, software code, figures, presentation slides and videos —and for users to interact with these objects (e.g., comment on, favorite, like , and reuse ). Platforms such as Figshare and SlideShare disseminate scholars’ various types of research outputs such as datasets, figures, infographics, documents, videos, posters , or presentation slides (Enis, 2013) and displays views, likes, and shares by other users (Mas -Bleda et al., 2014) .
Frequently mentioned social platforms in scholarly communication research include research -specific tools such as Mendeley, Zotero, CiteULike, BibSonomy, and Connotea (now defunct) as well as general tools such as Delicious and Digg (Hammond, Hannay, Lund, & Scott, 2005; Hull, Pettifer, & Kell, 2008; Priem & Hemminger, 2010; Reher & Haustein, 2010) .
qualitative research
“The focus group interviews were analysed based on the principles of interpretative phenomenology”
if you are not podcast fans, I understand. The link above is a pain in the behind to make work, if you are not familiar with using podcast.
Here is an easier way to find it:
1. open your cell phone and go find the podcast icon, which is pre-installed, but you might have not ever used it [yet].
2. In the app, use the search option and type “stuff you should know”
3. the podcast will pop up. scroll and find “How the scientific method works,” and/or search for it if you can.
Once you can play it on the phone, you have to find time to listen to it.
I listen to podcast when i have to do unpleasant chores such as: 1. walking to work 2. washing the dishes 3. flying long hours (very rarely). 4. Driving in the car.
There are bunch of other situations, when you may be strapped and instead of filling disgruntled and stressed, you can deliver the mental [junk] food for your brain.
Earbuds help me: 1. forget the unpleasant task, 2. Utilize time 3. Learn cool stuff
Here are podcasts, I am subscribed for, besides “stuff you should know”:
TED Radio Hour
TED Talks Education
NPR Fresh Air
BBC History
and bunch others, which, if i don’t go a listen for an year, i go and erase and if i peruse through the top chart and something picks my interest, I try.
If I did not manage to convince to podcast, totally fine; do not feel obligated.
However, this podcast, you can listen to on your computer, if you don’t want to download on your phone.
It is one hour show by two geeks, who are trying to make funny (and they do) a dry matter such as quantitative vs qualitative, which you want to internalize:
1. Sometimes at minute 12, they talk about inductive versus deductive to introduce you to qualitative versus quantitative. It is good to listen to their musings, since your dissertation is going through inductive and deductive process, and understanding it, can help you control better your dissertation writing.
2. Scientific method. Hypothesis etc (around min 17).
While this is not a Ph.D., but Ed.D. and we do not delve into the philosophy of science and dissertation etc. the more you know about this process, the better control you have over your dissertation.
3. Methods and how you prove (Chapter 3) is discussed around min 35
4. dependent and independent variables and how do you do your research in general (min ~45)
Shortly, listen and please do share your thoughts below. You do not have to be kind to this source offering. Actually, be as critical as possible, so you can help me decide, if I should offer it to the next cohort and thank you in advance for your feedback.
