This class will start with simple ways librarians may embed their skills remotely starting with the LMS especially through the use of portal tabs, blocks, eReserves, knowledge bases, and student/faculty orientations. We’ll then move on to discussing how to bring the traditional face-to-face BI session (which librarians know so well) into the online class through the use of team teaching, guest lecturing, and conducting synchronous workshops. We’ll explore in the 3rd week how the librarian can become more influential in online course design and development. The session concludes with an examination of the ways librarians can evaluate whether or not their virtual efforts are impacting student access to library resources as well as possible learning outcomes.
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more on embedded librarianship in this iMS blog
Open Learning, Educational Media: An Interview with Theo Bastiaens, Newly Appointed Rector Magnificus of Open University and Chair of AACE Edmedia Conference
Since the Open University was founded in 1984, more than 250,000 students have enrolled in courses. The Open University offers courses of study at the bachelor’s and master’s degree levels in cultural studies, education science, law, management, psychology, science and technology. Five of its master’s degree programs were top-ranked in 2017
Learning Tasks — concrete, authentic, whole task experiences that are provided to learners in order to promote schema construction for non-recurrent aspects and, to a certain degree, rule automation by compilation for recurrent aspects. Instructional methods primarily aim at induction, that is, constructing schemata through mindful abstraction from the concrete experiences that are provided by the learning tasks. Design steps:
Design learning tasks
Sequence task practice
Set performance objectives
Supportive Information — information that is supportive to the learning and performance of non-recurrent aspects of learning tasks. It provides the bridge between learners’ prior knowledge and the learning tasks. Instructional methods primarily aim at elaboration, that is, embellishing schemata by establishing nonarbitrary relationships between new elements and what learners already know. Design steps:
Design supportive information
Analyze cognitive strategies
Analyze mental models
JIT Information — information that is prerequisite to the learning and performance of recurrent aspects of learning tasks. Instructional methods primarily aim at compilation through restricted encoding, that is, embedding procedural information in rules. JIT information is not only relevant to learning tasks but also to Part-time practice. Design steps:
Design procedural information
Analyze cognitive rules
Analyze prerequisite knowledge
Part-task Practice — practice items that are provided to learners in order to promote rule automation for selected recurrent aspects of the whole complex skill. Instructional methods primarily aim at rule automation, including compilation and subsequent strengthening to reach a very high level of automatically. Design step:
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.
