Posts Tagged ‘distance education’

Formative Assessment in Distance Learning

Whether we use synchronous or asynchronous online sessions, whether we call it distance or virtual learning, we’re all challenged to provide meaningful education experiences at a distance as the education world grapples with the impact of Covid-19.

Know your purpose

Collect data over time

Focus on feedback

Check for understanding in synchronous sessions

Leverage personal conversations

Check in on SEL

Make it useful


Online Assessment

Formative Assessment


formative assessment in this IMS blog

Learning analytics, student satisfaction, and student performance

Learning analytics, student satisfaction, and student performance at the UK Open University
Rienties and his team linked 151 modules (courses) and 111,256 students with students’ behaviour, satisfaction and performance at the Open University UK, using multiple regression models.

There is little correlation between student course evaluations and student performance

The design of the course matters

Student feedback on the quality of a course is really important but it is more useful as a conversation between students and instructors/designers than as a quantitative ranking of the quality of a course.  In fact using learner satisfaction as a way to rank teaching is highly misleading. Learner satisfaction encompasses a very wide range of factors as well as the teaching of a particular course. 

this research provides quantitative evidence of the importance of learning design in online and distance teaching. Good design leads to better learning outcomes. We need a shift in the power balance between university and college subject experts and learning designers resulting in the latter being treated as at least equals in the teaching process.

more on learning analytics in this IMS blog

online ed enrollment

Digital Learning Compass: The Distance Education Enrollment Report 2017

In higher education, 29.7% of all students are taking at least one distance course.
The total distance enrollments are composed of 14.3% of students (2,902,756)
taking exclusively distance courses and 15.4% (3,119,349) who are taking a
combination of distance and non-distance courses. The vast majority (4,999,112,
or 83.0%) of distance students are studying at the undergraduate level.

Almost half of the distance education students are concentrated in just five percent of the institutions, while the top 47 institutions, only 1.0% of the total, enroll 23.0% (1,385,307) of all distance students.

The total number of students studying on campus (those not taking any distance course or taking a combination of distance and non-distance courses) dropped by almost one million (931,317) between 2012 and 2015. The largest declines came at for-profit institutions, which saw a 31.4% drop, followed by 2-year public institutions, which saw a 10.4% decrease.


2019 Online Education Trends Report

69% of online students identified employment as their primary goal for entering a program. 17% are grad students.
Seventy percent of administrators said they launch new programs with enrollment growth in mind, while meeting marketing and recruitment goals was their top concern.


2018 Student Guide to Online Education


2017 Online Education Trends Report

2017 Online Education Trends Report

Inside Higher Ed’s Survey of Faculty Attitudes on Technology

more on distance education in this IMS blog

distance education theories

Transactional Distance

online learning is most effective when the perceived pedagogical distance between the instructor and students in the course is minimized with increased interaction; Interaction occurs through learner-instructor communication, learner-learner collaboration, and learner-content engagement. All three levels of interaction have important implications for effective online learning


8 Tips To Minimize Transactional Distance In eLearning



By M. Moore:

Moore, M. (1972). Learner autonomy: The second dimension of independent learning.Convergence, 5, 76-88.

Moore, M. (1973). Toward a theory of independent learning and teaching. Journal of Higher Education, 44, 661-679.

Moore, M. (1993). Theory of transactional distance. In D. Keegan (Ed.), Theoretical principles of distance education (pp.22-38).New York: Routledge.

Moore, M. G. (1989). Editorial: Three types of interaction. The American Journal of Distance Education, 3 (2), 1-6.

Moore, M. G. (2007). The theory of transactional distance. In M. G. Moore (Ed.), Handbook of  distance education (2nd ed.), (pp.89-105). Mahwah, NJ: Lawrence Erlbaum Associates.

Moore, M. G., (2013). Handbook of distance education (3rd ed.). New York: Routledge

Community of Inquiry (CoI)

The Community of Inquiry theoretical framework focuses on the degree of presence in the online learning environment. Presence is vital to student success in online courses. There are three types of presence that must be maintained: 1. Social presence to increase learners’ sense of community in the online environment, 2. Cognitive presence to enable learners to construct meaning from the online experience, and 3. Teaching presence to increase learner perception of the instructor’s ability to provide structure and direction in the online environment


Community of Inquiry from Phil Ice

peer reviewed:

By Garrison:

Garrison,  D. R., & Akyol, Z. (2013).  The community of inquiry theoretical framework. In M. Moore, Handbook of Distance Education (3 ed.) (pp. 104-119). New York: Routledge.

Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical inquiry in a text-based

environment: Computer conferencing in higher education. The Internet and Higher Education, 2(2/3), 87-105.

Garrison, D.R. and Arbaugh, J.B. (2007). Researching the Community of Inquiry framework:

Review, issues, and future directions. The Internet and Higher Education 10(3): 157–172 (2007).

Garrison, D. R., & Cleveland-Innes, M. (2005). Facilitating cognitive presence in online learning: Interaction is not enough. American Journal of Distance Education, 19, 133-148.

more on distance education in this IMS blog

best practices in online proctoring

To catch a cheat: Best practices in online proctoring

As online education expands, students are bringing old-fashioned cheating into the digital age

According to the latest report from Babson Survey Research Group, nearly 6.5 million American undergraduates now take at least one course online

1. Listen to students and faculty. Every college, university, or online-learning provider has a different approach to online learning. At Indiana University, where more than 30 percent of students take at least one online course, the online education team has launched Next.IU, an innovative pilot program to solicit feedback from the campus community before making any major edtech decision. By soliciting direct feedback from students and faculty, institutions can avoid technical difficulties and secure support before rolling out the technology campus-wide.

2. Go mobile. Nine in 10 undergraduates own a smartphone, and the majority of online students complete some coursework on a mobile device. Tapping into the near-ubiquity of mobile computing on campus can help streamline the proctoring and verification process. Rather than having to log onto a desktop, students can use features like fingerprint scan and facial recognition that are already integrated into most smartphones to verify their identity directly from their mobile device.

For a growing number of students, mobile technology is the most accessible way to engage in online coursework, so mobile verification provides not only a set of advanced security tools, but also a way for universities to meet students where they are.

3. Learn from the data. Analytical approaches to online test security are still in the early stages. Schools may be more susceptible to online “heists” if they are of a certain size or administer exams in a certain way, but institutions need data to benchmark against their peers and identify pain points in their approach to proctoring.

In an initial pilot with 325,000 students, for instance, we found that cheating rose and fell with the seasons—falling from 6.62 percent to 5.49 percent from fall to spring, but rising to a new high of 6.65 percent during the summer.

more on proctoring in this IMS blog

brain research distance ed

The Implications of Brain Research for Distance Education

Katrina A. Meyer
Assistant Professor, Department of Educational Leadership
University of North Dakota

posted on FB in 2013

The brain is actually three brains: the ancient reptilian brain, the limbic brain, and the cortical brain. This article will focus on the limbic brain, because it may be most important to successfully using interactive video or web-based video. The limbic brain monitors the external world and the internal body, taking in information through the senses as well as body temperature and blood pressure, among others. It is the limbic brain that generates and interprets facial expressions and handles emotions, while the cortical brain handles symbolic activities such as language as well as action and strategizing. The two interact when an emotion is sent from the limbic to the cortical brain and generates a conscious thought; in response to a feeling of fear (limbic), you ask, “what should I do?” (cortical).

The importance of direct eye contact and deciphering body language is also important for sending and picking up clues about social context.

The loss of social cues is important because it may affect the quality of the content of the presentation (by not allowing timely feedback or questions) but also because students may feel less engaged and become frustrated with the interaction, and subsequently lower their assessment of the class and the instructor (Reeves & Nass, 1996). Fortunately, faculty can provide such social cues verbally, once they are aware of the importance of helping students use these new media.

Attachment theory also supports the importance of physical and emotional connections.

As many a struggling teacher knows, students are often impervious to learning new concepts. They may replay the new information for a test, but after time passes, they revert to the earlier (and likely wrong) information. This is referred to as the “power of mental models.” As explained in Marchese (2000), when we view a tree, it is not as if we see the tree in our head, as in photography.

The coping strategies of the two hemispheres are fundamentally different. The left hemisphere’s job is to create a belief system or model and to fold new experiences into that belief system. If confronted with some new information that doesn’t fit the model, it relies on Freudian defense mechanisms to deny, repress or confabulate – anything to preserve the status quo. The right hemisphere’s strategy is to play “Devil’s Advocate,” to question the status quo and look for global inconsistencies. When the anomalous information reaches a certain threshold, the right hemisphere decides that it is time to force a complete revision of the entire model and start from scratch (Ramachandran & Blakeslee, 1998, p. 136).

While much hemispheric-based research has been repudiated as an oversimplification (Gackenbach, 1999), the above description of how new information eventually overwhelms an old world view may be the result of multiple brain functions – some of which work to preserve our models and others to alter – that help us both maintain and change as needed.

Self-talk is the “the root of empathy, understanding, cooperation, and rules that allow us to be successful social beings. Any sense of moral behavior requires thought before action” (Ratey, 2001, p. 255).

Healy (1999) argues that based on what we know about brain development in children, new computer media may be responsible for developing brains that are largely different from the brains of adults. This is because “many brain connections have become specialized for . . . media” (p. 133); in this view, a brain formed by language and reading is different from a brain formed by hypermedia. Different media lead to different synaptic connections being laid down and reinforced, creating different brains in youngsters raised on fast-paced, visually-stimulating computer applications and video games. “Newer technologies emphasize rapid processing of visual symbols . . . and deemphasize traditional verbal learning . . . and the linear, analytic thought process . . . [making it] more difficult to deal with abstract verbal reasoning” (Healy, 1999, p. 142).


more on distance ed in this IMS blog

global education teaching learning conference

International Academic Conference on Global Education, Teaching and Learning in Vienna, Austria 2017 (IAC-GETL in Vienna 2017)

Conference Program Dates

Friday – Saturday, November 24 – 25, 2017

Venue Hotel – Fourside Hotel City Center Vienna
Grieshofgasse 11, A – 1120 Wien / Vienna, AUSTRIA

About the Conference

International Academic Conference in Vienna 2017 is an important international gathering of scholars, educators and PhD students. IAC-GETL 2017 in Vienna will take place in conference facilities located in Vienna, the touristic, business and historic center of Austria.

Conference language: English language

Conferences organized by the Czech Institute of Academic Education z.s. and Czech Technical University in Prague.

Conference Topics

Conference Topics – Education, Teaching, Learning and E-learning

Education, Teaching and Learning

Distance Education, Higher Education, Effective Teaching Pedagogies, Learning Styles and Learning Outcomes, Emerging Technologies, Educational Management, Engineering and Sciences Research, Competitive Skills, Continuing Education, Transferring Disciplines, Imaginative Education, Language Education, Geographical Education, Health Education, Home Education, Science Education, Secondary Education, Second life Educators, Social Studies Education, Special Education, Learning / Teaching Methodologies and Assessment, Assessment Software Tools, Global Issues In Education and Research, Education, Research and Globalization, Barriers to Learning (ethnicity, age, psychosocial factors, …), Women and Minorities in Science and Technology, Indigenous and Diversity Issues, Intellectual Property Rights and Plagiarism, Pedagogy, Teacher Education, Cross-disciplinary areas of Education, Educational Psychology, Education practice trends and issues, Indigenous Education, Academic Research Projects, Research on Technology in Education, Research Centres, Links between Education and Research, Erasmus and Exchange experiences in universities, Students and Teaching staff Exchange programmes


Educational Technology, Educational Games and Software, ICT Education, E-Learning, Internet technologies, Accessibility to Disabled Users, Animation, 3D, and Web 3D Applications, Mobile Applications and Learning (M-learning), Virtual Learning Environments, Videos for Learning and Educational Multimedia, Web 2.0, Social Networking and Blogs, Wireless Applications, New Trends And Experiences, Other Areas of Education

instructional design librarian

Conversations With Blended Librarians: The Evolving Instructional Design Librarian now available

Published on

Joelle Pitts is an Instructional Design Librarian and Associate Professor at Kansas State University Libraries. She is responsible for the creation and maintenance of web-based learning objects and environments aimed at improving the information literacy of the Kansas State University community. She leads the New Literacies Alliance, an inter-institutional information literacy consortium. Her research interests include distance education and e-learning theory and design, library user experience (UX), as well as the design and implementation of games-based learning environments.

The view the recorded session visit

more on blended librarian in this IMS blog

Regulations for Distance Education

Breaking News on “Teacher Prep” Regulations for Distance Education

It is proposed that a college’s program could fall short in ONE state and lose the right to offer TEACH grants to distance students in ANY state. That might work if every state used the same criteria, but that’s not required. The “Discussion of Costs, Benefits, and Transfers” is a baffling attempt at measuring activity for which there is no good data.