Searching for "learning"
VR and AR: Learners as Creators and World Builders of Our Immersive Future
by Emory Craig and Maya Georgieva Friday, December 15, 2017https://er.educause.edu/blogs/2017/12/vr-and-ar-learners-as-creators-and-world-builders-of-our-immersive-future
By creating engaging 360° tours, students are not only learning these new tools for themselves but are also helping local organizations see the possibility of VR for marketing and public relations.
some key takeaways from the projects that we have seen:
- Let the students lead: In all of these projects, students are taking the initiative. The institutions are providing the technology, the space, organizational vision, and in some cases, academic credit. At NYU Tandon, students organized the entire conference, doing publicity, registration, catering, and scheduling (see figure 4). They brought in a diverse group of speakers from academic, tech, and startup backgrounds. The event included TED-style spotlights, talks, workshops, and demos.
- Don’t compromise on space: Brown University’s Granoff Center for the Creative Arts is designed to encourage cross-discipline collaboration. The Tandon event used the main auditorium and the flagship NYU MakerSpace. Space influences behavior and is crucial in driving collaboration and active participation. In addition, to produce VR and AR/MR experiences students need access to high-end technology and, in some cases, motion-capture studios and 360° cameras.
- Create opportunities for social impact: Many of these programs are open to the local community or have been designed to have an impact outside higher education. At Emporia State, students are using VR and 360° video to help local businesses. The Gaspee Affair VR experience at Brown University will become a resource for teaching middle and high school students.
- Showcase student work: So often in education, the work students do in a course is only seen by others in the same class. Like the example at Texas A&M, all of these experiences have a connection with their campus or larger community. VR and AR engender a level of excitement that gets students engaged with each other and encourage peer learning. It’s worth it to seek out opportunities to bring this work to community events.
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more on VR in education in this IMS blog
https://blog.stcloudstate.edu/ims?s=virtual+reality+education
Find The Model That Works For You: 12 Types Of Blended Learning
12 Of The Most Common Types Of Blended Learning
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more on blended learning in this IMS blog
https://blog.stcloudstate.edu/ims?s=blended+learning
The Next 10 Years: Helping STEM Students Thrive series, on January 10th, from 12-1:30 PM ET. The topic will be learning spaces with the following guest speakers:
- Jeanne L. Narum, Principal, Learning Spaces Collaboratory
Jeanne will discuss what she has learned about what works, why and how it works in achieving sustainable institutional transformation in the world of planning spaces for learning in the undergraduate setting.
- Lisa Stephens, Sr. Strategist- SUNY Academic Innovation – University at Buffalo
- Rebecca Rotundo, Instructional Technology Specialist, University at Buffalo
Lisa and Rebecca will share their experience in FLEXspace (Flexible Learning Environments eXchange) an open education repository project which has expanded to over 2,600+ users from 1,200+ educational institutions across 42 countries.
- Xin Li, Associate University Librarian, Cornell
Xin will share information about the Library’s initiative to install a Portal on the Cornell campus in Sept. 2018, with the goal to engage faculty, students, and the community in live conversations with Portal users in different countries, cultures, or life circumstances, such as what others do for STEM education.
For more information on the speakers and to register and log into the event please go tohttps://gateway.shindig.com/event/learningspaces
This collaboration between Cornell University and the University at Buffalo featuring the perspectives of national thought leaders and institutional representatives about expanding the participation of women in undergraduate STEM education at different scales.
This interactive, online series features a different topic per month. Each session kicks off with an introduction by our distinguished thought leaders followed by institutional representatives from Cornell University and the University at Buffalo who will share insights from their campuses. Participants may join the conversation, ask questions, share experiences, build networks and learn more about:
· Innovations that can expand female or underrepresented minority student participation and success in STEM undergraduate education.
· Effective evidence-based STEM teaching practices commonly adopted at research universities.
· Unique institutional and cultural challenges to achieving STEM diversity.
· What difference at scale looks like.
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more on learning spaces in academic environment in this iMS blog
https://blog.stcloudstate.edu/ims?s=learning+spaces
Twenty-fifth International Conference on Learning
2018 Special Focus: Education in a Time of Austerity and Social Turbulence 21–23 June 2018 University of Athens, Athens, Greece http://thelearner.com/2018-conference
- Technology and human values: learning through and about technology
- Crossing the digital divide: access to learning in, and about, the digital world
- New tools for learning: online digitally mediated learning
- Virtual worlds, virtual classrooms: interactive, self-paced and autonomous learning
- Ubiquitous learning: using the affordances of the new mediaDistance learning: reducing the distance
- Defining new literacies
- Languages of power: literacy’s role in social access
- Instructional responses to individual differences in literacy learning
- The visual and the verbal: Multiliteracies and multimodal communications
- Literacy in learning: language in learning across the subject areas
- The changing role of libraries in literacies learning
- Languages education and second language learning
- Multilingual learning for a multicultural world
- The arts and design in multimodal learning
- The computer, internet, and digital media: educational challenges and responses
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PROPOSAL: Paper presentation in a Themed Session
Title
Virtual Reality and Gamification in the Educational Process: The Experience from an Academic Library
short description
VR, AR and Mixed Reality, as well as gaming and gamification are proposed as sandbox opportunity to transition from a lecture-type instruction to constructivist-based methods.
long description
The NMC New Horizon Report 2017 predicts a rapid application of Video360 in K12. Millennials are leaving college, Gen Z students are our next patrons. Higher Education needs to meet its new students on “their playground.” A collaboration by a librarian and VR specialist is testing the opportunities to apply 360 degree movies and VR in academic library orientation. The team seeks to bank on the inheriting interest of young patrons toward these technologies and their inextricable part of a rapidly becoming traditional gaming environment. A “low-end,” inexpensive and more mobile Google Cardboard solution was preferred to HTC Vive, Microsoft HoloLens or comparable hi-end VR, AR and mixed reality products.
The team relies on the constructivist theory of assisting students in building their knowledge in their own pace and on their own terms, rather than being lectured and/or being guided by a librarian during a traditional library orientation tour. Using inexpensive Google Cardboard goggles, students can explore a realistic set up of the actual library and familiarize themselves with its services. Students were polled on the effectiveness of such approach as well as on their inclination to entertain more comprehensive version of library orientation. Based on the lessons from this experiment, the team intends to pursue also a standardized approach to introducing VR to other campus services, thus bringing down further the cost of VR projects on campus. The project is considered a sandbox for academic instruction across campus. The same concept can be applied for [e.g., Chemistry, Physics, Biology) lab tours; for classes, which anticipate preliminary orientation process.
Following the VR orientation, the traditional students’ library instruction, usually conducted in a room, is replaced by a dynamic gamified library instruction. Students are split in groups of three and conduct a “scavenger hunt”; students use a jQuery-generated Web site on their mobile devices to advance through “hoops” of standard information literacy test. E.g., they need to walk to the Reference Desk, collect specific information and log their findings in the Web site. The idea follows the strong interest in the educational world toward gaming and gamification of the educational process. This library orientation approach applies the three principles for gamification: empowers learners; teaches problem solving and increases understanding.
Similarly to the experience with VR for library orientation, this library instruction process is used as a sandbox and has been successfully replicated by other instructors in their classes.
Keywords
academic library
literacies learning
digitally mediated learning
The EDUCAUSE Learning Initiative has just launched its 2018 Key Issues in Teaching and Learning Survey, so vote today: http://www.tinyurl.com/ki2018.
Each year, the ELI surveys the teaching and learning community in order to discover the key issues and themes in teaching and learning. These top issues provide the thematic foundation or basis for all of our conversations, courses, and publications for the coming year. Longitudinally they also provide the way to track the evolving discourse in the teaching and learning space. More information about this annual survey can be found at https://www.educause.edu/eli/initiatives/key-issues-in-teaching-and-learning.
ACADEMIC TRANSFORMATION (Holistic models supporting student success, leadership competencies for academic transformation, partnerships and collaborations across campus, IT transformation, academic transformation that is broad, strategic, and institutional in scope)
ACCESSIBILITY AND UNIVERSAL DESIGN FOR LEARNING (Supporting and educating the academic community in effective practice; intersections with instructional delivery modes; compliance issues)
ADAPTIVE TEACHING AND LEARNING (Digital courseware; adaptive technology; implications for course design and the instructor’s role; adaptive approaches that are not technology-based; integration with LMS; use of data to improve learner outcomes)
COMPETENCY-BASED EDUCATION AND NEW METHODS FOR THE ASSESSMENT OF STUDENT LEARNING (Developing collaborative cultures of assessment that bring together faculty, instructional designers, accreditation coordinators, and technical support personnel, real world experience credit)
DIGITAL AND INFORMATION LITERACIES (Student and faculty literacies; research skills; data discovery, management, and analysis skills; information visualization skills; partnerships for literacy programs; evaluation of student digital competencies; information evaluation)
EVALUATING TECHNOLOGY-BASED INSTRUCTIONAL INNOVATIONS (Tools and methods to gather data; data analysis techniques; qualitative vs. quantitative data; evaluation project design; using findings to change curricular practice; scholarship of teaching and learning; articulating results to stakeholders; just-in-time evaluation of innovations). here is my bibliographical overview on Big Data (scroll down to “Research literature”: https://blog.stcloudstate.edu/ims/2017/11/07/irdl-proposal/ )
EVOLUTION OF THE TEACHING AND LEARNING SUPPORT PROFESSION (Professional skills for T&L support; increasing emphasis on instructional design; delineating the skills, knowledge, business acumen, and political savvy for success; role of inter-institutional communities of practices and consortia; career-oriented professional development planning)
FACULTY DEVELOPMENT (Incentivizing faculty innovation; new roles for faculty and those who support them; evidence of impact on student learning/engagement of faculty development programs; faculty development intersections with learning analytics; engagement with student success)
GAMIFICATION OF LEARNING (Gamification designs for course activities; adaptive approaches to gamification; alternate reality games; simulations; technological implementation options for faculty)
INSTRUCTIONAL DESIGN (Skills and competencies for designers; integration of technology into the profession; role of data in design; evolution of the design profession (here previous blog postings on this issue: https://blog.stcloudstate.edu/ims/2017/10/04/instructional-design-3/); effective leadership and collaboration with faculty)
INTEGRATED PLANNING AND ADVISING FOR STUDENT SUCCESS (Change management and campus leadership; collaboration across units; integration of technology systems and data; dashboard design; data visualization (here previous blog postings on this issue: https://blog.stcloudstate.edu/ims?s=data+visualization); counseling and coaching advising transformation; student success analytics)
LEARNING ANALYTICS (Leveraging open data standards; privacy and ethics; both faculty and student facing reports; implementing; learning analytics to transform other services; course design implications)
LEARNING SPACE DESIGNS (Makerspaces; funding; faculty development; learning designs across disciplines; supporting integrated campus planning; ROI; accessibility/UDL; rating of classroom designs)
MICRO-CREDENTIALING AND DIGITAL BADGING (Design of badging hierarchies; stackable credentials; certificates; role of open standards; ways to publish digital badges; approaches to meta-data; implications for the transcript; Personalized learning transcripts and blockchain technology (here previous blog postings on this issue: https://blog.stcloudstate.edu/ims?s=blockchain)
MOBILE LEARNING (Curricular use of mobile devices (here previous blog postings on this issue:
MULTI-DIMENSIONAL TECHNOLOGIES (Virtual, augmented, mixed, and immersive reality; video walls; integration with learning spaces; scalability, affordability, and accessibility; use of mobile devices; multi-dimensional printing and artifact creation)
NEXT-GENERATION DIGITAL LEARNING ENVIRONMENTS AND LMS SERVICES (Open standards; learning environments architectures (here previous blog postings on this issue: https://blog.stcloudstate.edu/ims/2017/03/28/digital-learning/; social learning environments; customization and personalization; OER integration; intersections with learning modalities such as adaptive, online, etc.; LMS evaluation, integration and support)
ONLINE AND BLENDED TEACHING AND LEARNING (Flipped course models; leveraging MOOCs in online learning; course development models; intersections with analytics; humanization of online courses; student engagement)
OPEN EDUCATION (Resources, textbooks, content; quality and editorial issues; faculty development; intersections with student success/access; analytics; licensing; affordability; business models; accessibility and sustainability)
PRIVACY AND SECURITY (Formulation of policies on privacy and data protection; increased sharing of data via open standards for internal and external purposes; increased use of cloud-based and third party options; education of faculty, students, and administrators)
WORKING WITH EMERGING LEARNING TECHNOLOGY (Scalability and diffusion; effective piloting practices; investments; faculty development; funding; evaluation methods and rubrics; interoperability; data-driven decision-making)
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learning and teaching in this IMS blog
https://blog.stcloudstate.edu/ims?s=teaching+and+learning
Planning a Teaching and Learning Space for Virtual and Augmented Reality
Tuesday, November 14, 2017 1:00 – 2:00 p.m. EST
Planning a Teaching and Learning Space for Virtual and Augmented Reality
Dr. James P. Frazee is the Senior Academic Technology Officer and Director of Instructional Technology Services (ITS) at San Diego State University.
- The “What”: Defining the Space
- The “Why”: Making a Case
- Incubator for research
- Promotes experimentation
- Leveraging partnerships with industry players
- Opportunity to highlight technology
- The “How”: Designing and Implementing
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more on VR in this IMS blog
https://blog.stcloudstate.edu/ims?s=virtual+reality
online learning attitudes
Students match their preference for hybrid learning with a belief that it is the most effective learning environment for them.
Despite the fact that faculty prefer teaching in a hybrid environment, they remain skeptical of online learning. Nearly half do not agree online 45% learning is effective.
https://library.educause.edu/~/media/files/library/2017/9/studentst2017infog.pdf
Students asked what technologies they wish their instructors used more, and we asked faculty what technologies they think could make them more effective instructors. Both agree that content and resource-focused technologies should be incorporated more and social media and tablets should be incorporated less. 
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more on the use (or not) of ed technology in the classroom in this IMS blog
https://blog.stcloudstate.edu/ims/2017/04/03/use-of-laptops-in-the-classroom/
European Learning & Teaching Forum
http://www.eua.be/activities-services/events/event/2017/09/28/default-calendar/european-learning-teaching-forum
Presentations
Parallel session 1: Rethinking the status of teaching and research – What does it mean to be a modern academic?
Parallel session 2: Embedding generic skills in the curriculum
Parallel session 4: European principles for the enhancement of learning and teaching – strengthening institutional approaches
Parallel session 5: Curricular and strategic perspectives on research-based learning
Parallel session 6: Enhancing access and transition: principles for good practice
Parallel session 7: Building an institutional teaching community
Parallel session 8: Recognising civic engagement and the development of transversal skills outside the formal curriculum
Parallel session 8: Recognising civic engagement and the development of transversal skills outside the formal curriculum
Parallel session 10: Supporting diversity in the classroom: staff development and student learning
Parallel session 11: Recognising, fostering and celebrating teaching enhancement
Modern Learning: Re-Discovering the Transformative Promise of Educational Technology
By Steve Hargadon (@stevehargadon) Survey and Report: modernlearning.com |
http://www.modernlearning.com/the-report.html
- When do you believe technology enhances learning, and when do you believe
it does not?
- How has technology impacted your own learning?
- Does your school, library, or organization have a specific learning philosophy that guides ed-tech purchases and implementation? If yes, what is that philosophy?
More than 450 responses were received (those that agreed for their answers to be
shared publicly can be seen at http://www.modernlearning.com).
For the purposes of this report, “educational technology” (often abbreviated as “ed tech”) is assumed to refer principally to the use of modern electronic computing and other high-tech, mostly Internet-enabled, devices and services in education.
Observation 1: There is general agreement that there are good and pedagogically-sound arguments or the implementation and active use of ed tech; and that technology is changing, and will change, education for the better.
Observation 2: There is general agreement that technology is not always beneficial to teaching and learning.
When it becomes a distraction.
● When there is little or no preparation for it.
● When just used for testing / score tracking.
● When used for consuming and not creating, or just for rote learning.
● When “following the education trends: everyone else is doing it.”
● When the tech is “an end rather than means” (also stated as, ”when I don’t have a plan or learning goal…”). We found this very significant, and it is the focus of Observation 6.
● When there is a lack of guidance in how to effectively use new ed tech tools (“when there is no PD”). This is the focus of Observation 4.
● Finally, when it “gets in the way of real time talk / sharing.” Forgetting that the tech “cannot mentor, motivate, show beauty, interact fully, give quality attention, [or] contextualize.” Also: ”outcomes related to acquiring the skills and attitudes cannot be enhanced by technology.” As mentioned in the introduction, this would be missing the “human factor.” One respondent
captured this as follows: “3 reasons tech innovation fails: Misunderstanding Human Motivation, Human Learning, or Human Systems.”
Observation 3: The benefits of ed tech to educator learning are described much more positively, and much less ambiguously, than are the benefits to student learning.
- reduced their isolation by helping them to connect with their peers;
● allowed them to feel part of larger educational movements;
● afforded them opportunities to become contributors.
Observation 4: There is a lack of good professional development for educational technology.
Observation 5: Educational technology is prone to grandiose promises.
Observation 6: Some significant percentage of educational technology purchases do not appear to have a pedagogical basis.
conclusions:
Networked information technology has rendered the words “teacher” and “student” more ambiguous. YouTube tutorials and social-media discussions, just to cite a couple of obvious examples, have made it abundantly clear that at any given moment anyone—regardless of age or background—can be a learner or a teacher, or even both at once.
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more on educational technology in this IMS blog
https://blog.stcloudstate.edu/ims?s=education+technology
Three lessons from rigorous research on education technology
Hope seen in “personalized” software for math
http://hechingerreport.org/three-lessons-rigorous-research-education-technology/
an August 2017 working paper, “Education Technology: An Evidence-Based Review,” published by the National Bureau of Economic Research with clear tables on which technology improves learning and which doesn’t.
1. Computers and internet access alone don’t boost learning
Handing out laptops, providing high-speed internet access or buying most other kinds of hardware doesn’t on its own boost academic outcomes. The research shows that student achievement doesn’t rise when kids are using computers more, and it sometimes decreases.
2. Some math software shows promise
math programs such as SimCalc and ASSISTments. One popular program, DreamBox, showed small gains for students, as well. Only one piece of software that taught reading, Intelligent Tutoring for the Structure Strategy (ITSS), showed promise, suggesting that it is possible to create good educational software outside of math, but it’s a lot harder.
One commonality of the software that seems to work is that it somehow “personalizes” instruction. Sometimes students start with a pre-test so the computer can determine what they don’t know and then sends each student the right lessons, or a series of worksheet problems, to help fill in the gaps. Other times, the computer ascertains a student’s gaps as he works through problems and makes mistakes, giving personalized feedback. Teachers also get data reports to help pinpoint where students are struggling.
3. Cheap can be effective
a study in San Francisco where texts reminded mothers to read to their preschoolers. That boosted children’s literacy scores.
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more on educational technology in this IMS blog
https://blog.stcloudstate.edu/ims?s=education+technology
