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With most critics of higher education focused on rising prices or on whether American colleges and universities are producing enough degree and certificate holders with sufficient skills to keep the U.S. economy vibrant and competitive -- the latter known in shorthand as the "completion agenda" -- a few analysts are homing in on the quality and rigor of what students are learning (or not) en route to those credentials. Last year's Academically Adrift set the tone, providing data suggesting that many colleges are imposing relatively minimal academic demands on their students and that, perhaps as a result, many students do not appear to gain in some measures of cognitive abilities as they move through college. The authors of We're Losing Our Minds (Palgrave MacMillan) add their own clamoring to the agenda focused on the quality of learning. Richard P. Keeling and Richard H. Hersh, longtime scholars and administrators, describe themselves as "friendly critics" of higher education, and unlike many of academe's naysayers, they don't spend a lot of time trashing the faculty as overpaid and underworked or bashing administrators as fat-cat corporatizers (though they do complain that institutions have overemphasized rankings and enrollment growth and sports and research -- take your pick depending on institution type).

CORE IDEAS We decided on the name Learning Emergence because we are very much learning about emergence and complex systems phenomena ourselves, even as we develop our thinking on learning as an emergent, systemic phenomenon in different contexts. We must shift to a new paradigm for learning in schools, universities and the workplace which addresses the challenges of the 21st Century. Society needs learners who can cope with intellectual, ethical and emotional complexity of an unprecedented nature. Learning Emergence partners share an overarching focus on deep, systemic learning and leadership - the pro-active engagement of learners and leaders in their own authentic learning journey, in the context of relationship and community. We work at the intersection of (1) deep learning and sensemaking, (2) leadership, (3) complex systems, and (4) technology:

This research explores student perceptions of course quality and instructor effectiveness in a hybrid MPA distance learning program. The MPA distance learning program under analysis utilizes a synchronous computer software program for 21 hours of instruction per course, an asynchronous computer software program for 21 hours of instruction per course, and six hours of on-campus in-person instruction per course. Survey data from students who have completed eight (8) courses in this distance learning program (repeated samples n = 90) will be compared to the evaluations of students who have taken the same courses from the same instructors in the on-campus program (n=100). The purpose of the research is two-fold. First, the research will determine if there is a significant difference between the perceptions of course quality and instructor effectiveness between students in the distance learning program and students enrolled in the on-campus program. Second, the research will explore student satisfaction with the use of the synchronous and asynchronous computer delivery methods. It is anticipated that students will express satisfaction levels with course quality and instructor effectiveness equal to, or exceeding, the satisfaction levels expressed by students in the on-campus program.

"Informal/Social learning is one of the major revolutions happening around us that demands a shift in the mere thinking of 'learning'. It requires us to unlearn and relearn some of the traditional notions related to the learning style/preference, and the dimensions and the elements of learning design. In this article, we'll take a quick look at the top 9 essential competencies that a learning designer is required to possess for designing effective informal/social learning interventions for today's workplaces."

Abstract Learning 'using' technologies has become a global phenomenon. The Internet is often seen as a value-neutral tool that potentially allows individuals to overcome the constraints of traditional elitist spaces and gain unhindered access to learning. It is widely suggested that online technologies can help address issues of educational equity and social exclusion, and open up democratic and accessible educational opportunities. The national governments and non-governmental agencies who fund educational endeavours in developing countries have advocated the use of new technologies to reduce the cost of reaching and educating large numbers of children and adults who are currently missing out on education. This paper presents an overview of the educational developments in open, distance, and technology-facilitated learning that aim to reach the educationally deprived populations of the world. It reveals the challenges encountered by children and adults in developing countries as they attempt to access available educational opportunities. The discussion questions whether, in face of these challenges, developing nations should continue to invest money, time, and effort into e-learning developments. Can technology-enhanced learning help address the poverty, literacy, social, and political problems in developing countries?

Updated E-Learning Definitions By John Sener, Founder/CKO, Sener Knowledge LLC | No Comments | July 7, 2015 | Leave a comment Definitions of E-Learning Courses and Programs Version 2.0 April 4, 2015 Developed for Discussion within the Online Learning Community By Frank Mayadas, Gary Miller, and John Sener As e-learning has evolved into a global change agent in higher education, it has become more diverse in its form and applications. This increased diversity has complicated our ability to share research findings and best practices, because we lack a shared set of definitions to distinguish among the many variations on e-learning that have arisen. This paper is designed to provide practitioners, researchers, and policy makers with a common set of terms and definitions to guide the ongoing development of the field. Our hope is that it will move us toward a set of shared, commonly understood definitions that will facilitate the sharing of research data and professional standards in our field. In developing the definitions below, we have tried to incorporate existing definitions developed by others and have incorporated comments from colleagues who have reviewed earlier drafts. We do not present these as the ultimate definitions, but as a step toward more commonly held standards as our field continues to evolve. Additions and revisions will be published periodically, as needed.

Behaviorism, cognitivism, and constructivism are the three broad learning theories most often utilized in the creation of instructional environments. These theories, however, were developed in a time when learning was not impacted through technology. Over the last twenty years, technology has reorganized how we live, how we communicate, and how we learn. Learning needs and theories that describe learning principles and processes, should be reflective of underlying social environments. Vaill emphasizes that "learning must be a way of being - an ongoing set of attitudes and actions by individuals and groups that they employ to try to keep abreast o the surprising, novel, messy, obtrusive, recurring events…" (1996, p.42).

Australasian Survey of Student Engagement (AUSSE) Areas measured by the AUSSE The survey instruments used in the AUSSE collect information on around 100 specific learning activities and conditions along with information on individual demographics and educational contexts.The instruments contain items that map onto six student engagement scales: Academic Challenge - the extent to which expectations and assessments challenge students to learn; Active Learning - students' efforts to actively construct knowledge; Student and Staff Interactions - the level and nature of students' contact and interaction with teaching staff; Enriching Educational Experiences - students' participation in broadening educational activities; Supportive Learning Environment - students' feelings of support within the university community; and Work Integrated Learning - integration of employment-focused work experiences into study. The instruments also contain items that map onto seven outcome measures. Average overall grade is captured in a single item, and the other six are composite measures which reflect responses to several items: Higher-Order Thinking - participation in higher-order forms of thinking; General Learning Outcomes - development of general competencies; General Development Outcomes - development of general forms of individual and social development; Career Readiness - preparation for participation in the professional workforce; Average Overall Grade - average overall grade so far in course; Departure Intention - non-graduating students' intentions on not returning to study in the following year; and Overall Satisfaction - students' overall satisfaction with their educational experience.

"Learning to Hate Learning Objectives By Mikita Brottman Like many of my colleagues, I assume, I'm growing deeply frustrated with the need for "learning objectives"-that list of superficial projections and assumptions that most syllabi these days are required to contain ("Upon completion of this course, the student will be able to … "). Perhaps learning objectives make sense for most courses outside the humanities, but for me-as, no doubt, for many others-they bear absolutely no connection to anything that happens in the classroom."

"The Digital Learning Compass Partnership Since 2003, the Babson Survey Research Group (BSRG) has conducted national surveys on enrollments, activities, and attitudes regarding online learning for U.S. colleges and universities. When the U.S. Department of Education's Integrated Postsecondary Education Survey (IPEDS) began collecting distance learning enrollments in the Fall of 2012, BSRG switched to reporting the Department's statistics. e-Literate and WCET conducted their own separate and joint analyses of the IPEDS enrollment data. After noting small differences in the numbers reported, the three organizations harmonized the data sets they used and continued to share what was learned behind the scenes. Realizing that we accomplish more together (and that we liked each other's data wonk personalities), the three organizations partnered in 2017 to create the Digital Learning Compass. "

"BECAUSE QUALITY AND EXCELLENCE IN ONLINE LEARNING MATTER The drive behind the Online Learning Consortium In 1997, Frank Mayadas, President of the Online Learning Consortium (renamed OLC), affirmed that any learner who engages in online education should have, at a minimum, an education that represents the quality of the provider's overall institutional quality. Any institution, he maintained, demonstrates its quality in five inter-related areas - learning effectiveness, access, scale (capacity enrollment achieved through cost-effectiveness and institutional commitment), faculty satisfaction, and student satisfaction. These five have become OLC's Five Pillars of Quality Online Education, the building blocks which provide the support for successful online learning. The intent of the quality framework, which is always a work in progress, is to help institutions identify goals and measure progress towards them"

Technology-enhanced learning in Europe Where research meets research & practice! TELeurope is the social media hub for everything about technology-enhanced learning. It is the community platform of the European open network of excellence in technology-enhanced learning STELLARNET.EU. TELeurope is the place where research meets research & practice. If you have a stake in technology-enhanced learning - being a researcher, a developer, teacher, provider, vendor, policy-maker, or the like - you may want to join this social network. This platform is a social medium for technology-enhanced learning research and practice. As soon as you get your own TELeurope identity, make friends, join groups, and engage, a whole new universe of activity will become disclosed to you!

June 25, 2012 Customization Is the Future of Teaching, Harvard Researcher Says Rick Friedman for The ChronicleChris Dede (shown here on screen), a professor of learning technologies at Harvard, says classrooms of the future will have "a more complicated model of teacher performance that, when they know how to do it, teachers are going to appreciate."Enlarge Image By Jeffrey R. Young Most college courses are one-size-fits-all-a lecturer delivers the same information to everyone in the room, regardless of whether some students already know the material or others are utterly lost. It doesn't have to be that way, says Chris Dede, a professor of learning technologies at Harvard University. He outlines a vision of how technology can help personalize learning in a new book that he co-edited, called Digital Teaching Platforms: Customizing Classroom Learning for Each Student. His research focuses on elementary- and high-school classrooms, but he says the approach has implications for colleges as well. The Chronicle talked with Mr. Dede about his strategy, and why he sees big changes on the horizon. An edited version of the conversation follows.

Assessment Futures Many students currently graduate without appropriate skills in assessment. Assessment serves many purposes, including: * helping students improve their learning, and * certifying their learning. This website is about an important additional purpose for assessment. It is about equipping students for the learning and assessing they will need to do after completing their course and the challenges they will face after graduation.

"September 28, 2015 Why Policies Fail to Promote Better Learning Decisions By Lolita Paff, PhD Policies are necessary. They serve as a warning to students: this is what will happen if you are absent, miss an exam, turn work in late, text or surf the Web during class, and the like. Most institutions recommend teachers spell out consequences in their syllabi. Some schools employ institution-wide policies for certain behaviors like academic dishonesty. If policies are supposed to prevent these unproductive behaviors, why do students still engage in them? Are there reasons why policies don't work? Policies don't teach students why these behaviors hurt their effort to learn. Despite extensive evidence to the contrary, many students believe their learning is unaffected by technology distractions. "No screens" policies are aimed, at least in part, to minimize distractions that hurt learning (their own and peers'). But policies aren't nearly as powerful as an activity that demonstrates the effects of distraction."

"The Technology Integration Matrix (TIM) illustrates how teachers can use technology to enhance learning for K-12 students. The TIM incorporates five interdependent characteristics of meaningful learning environments: active, constructive, goal directed (i.e., reflective), authentic, and collaborative (Jonassen, Howland, Moore, & Marra, 2003). The TIM associates five levels of technology integration (i.e., entry, adoption, adaptation, infusion, and transformation) with each of the five characteristics of meaningful learning environments. Together, the five levels of technology integration and the five characteristics of meaningful learning environments create a matrix of 25 cells as illustrated below."

"A Resource Supporting the Full Integration of Technology in Arizona Schools What is the Arizona Technology Integration Matrix? The Technology Integration Matrix (TIM) illustrates how teachers can use technology to enhance learning for K-12 students. The TIM incorporates five interdependent characteristics of meaningful learning environments: active, collaborative, constructive, authentic, and goal directed (Jonassen, Howland, Moore, & Marra, 2003). The TIM associates five levels of technology integration (i.e., entry, adoption, adaptation, infusion, and transformation) with each of the five characteristics of meaningful learning environments. Together, the five levels of technology integration and the five characteristics of meaningful learning environments create a matrix of 25 cells. What is in each cell? Within each cell of the Matrix one will find two lessons plans with a short video of the lesson. Each lesson is designed to show the integration of technology in instruction and classrooms as well as the Arizona Educational Technology Standards."

Selecting technology is perhaps the easiest part of developing a distance learning program. Most colleges and universities find an array of available delivery systems ranging from interactive television to sophisticated Web-based asynchronous learning networks (ALNs). As these institutions strive to provide quality alternative instructional delivery and enter the increasingly competitive race for new students, two areas often receive little attention - policy development and planning. Soon the courses are on the air or travelling through cyberspace, and unprepared educators find themselves in legal, academic, fiscal, logistical and union controversies. "Regardless of the delivery system…the technology often precedes planning and policy development" (C.E.T.U.S., 1997, p. 7). Clearly, advanced policy deliberation and development is essential to the success of distance learning programs and their students.

"catchword in educational circles is "constructivism, " applied both to learning theory and to epistemology---both to how people learn, and to the nature of knowledge.1,2 We don't need to succumb to each new fad, but we do need to think about our work in relation to theories of learning and knowledge. So we need to ask: what is constructivism, what does it have to tell us that is new and relevant, and how do we apply it to our work? As far as I can see, there is nothing dramatically new in constructivism: the core ideas expressed by it have been clearly enunciated by John Dewey among others, but there is a new, widespread acceptance of this old set of ideas. and new research in cognitive psychology to support it. I would like to give a brief exposition of ideas central to constructivism and widely accepted today by educators. curriculum developers and cognitive psychologists, and then suggest what they mean for museum educators."

American Association for Higher Education ASSESSMENT FORUM 9 Principles of Good Practice for Assessing Student Learning The assessment of student learning begins with educational values. Assessment is not an end in itself but a vehicle for educational improvement. Its effective practice, then, begins with and enacts a vision of the kinds of learning we most value for students and strive to help them achieve. Educational values should drive not only what we choose to assess but also how we do so. Where questions about educational mission and values are skipped over, assessment threatens to be an exercise in measuring what's easy, rather than a process of improving what we really care about.