NMC Horizon Report 2014 -Preview

The NMC Horizon reports are always worth reading. I blogged about last year’s, and the preview of this year’s is now available

“The NMC Horizon Report > 2014 Higher Education Edition is a collaborative effort between the NMC and the EDUCAUSE Learning Initiative (ELI), an EDUCAUSE Program. The full report is scheduled for release on February 3, 2014.

 The eleventh edition will describe annual findings from the NMC Horizon Project, a more than decade-long research project designed to identify and describe emerging technologies likely to have an impact on learning, teaching, and creative inquiry in higher education. Six emerging technologies will be identified across three adoption horizons over the next one to five years, as well as key trends and significant challenges expected to continue over the same period, giving campus leaders and practitioners a valuable guide for strategic technology planning.”

In advance of publication of the full report, I’ve looked at the preview, and tried to summarise each of the emerging technologies, key trends and challenges for us. I’m not saying my answers are definitive, and different individuals and groups will have different views, but in my role of having oversight of technology enhanced learning, the exercise provides useful reflection.

 Key Trends Accelerating Ed Tech Adoption in Higher Education

1. Fast Moving Trends: Those likely to create substantive change (or burn out) in one to two years

Online, Hybrid, and Collaborative Learning Already being used to support on campus and distance learning. Possibility of exploiting further to develop hybrid learning and thus reduce amount of attendance needed on campus for full time students, leading to re-evaluation of estate needed, both in terms of amount, but also type.
 Social Media Use in Learning Being used significantly in specific areas but little overall coordination or advice being provided on how to optimise utilisation so far.

 

2. Mid-Range Trends: Those likely to take three to five years to create substantive change

The Creator Society

“Higher education is now in a position to shift its curricular focus to ensure learning environments align with the engagement of creator-students and foster the critical thinking skills needed to fuel a creator society. Courses and degree plans across all disciplines at institutions are in the process of changing to reflect the importance of media creation, design, and entrepreneurship”

We’re doing pretty well at this – the idea of co-creation of learning is a key strand of the academic strategy, together with the commitment to enquiry based learning. The Staffordshire Graduate attributes also reinforce this, as well as providing the needed focus on entrepreneurship
 Data-Driven Learning and Assessment“

As learners participate in online activities, they leave a clear trail of analytics data that can be mined for insights. Learning analytics is a collection of tools to process and analyze that data stream, and use it to modify learning goals and strategies in real time.”

This is still new to us, although individual staff might be using some of the simplest data available on BlackBoard usage to identify student engagement. One of the new roles n ADU includes a brief to look into learning analytics, so we’ll be providing more information on this.

 

3. Slow Trends: Those likely to take more than five years to create substantive change

Agile Approaches to Change

“There is a growing consensus among many higher education thought leaders that institutional leadership could benefit from agile startup models. Educators are working to develop new approaches based on these models that stimulate top-down change and can be implemented across a broad range of institutional settings.”

This is the area where my new eam wil have to review how we develop and introduce new ideas in technology enhanced learning. The pace of technological change, and the need to respond ever more quickly to demands from learners and teachers mean a move away from rigid planning paradigms.
Making Online Learning Natural

“Asynchronous voice and video tools are humanizing online learning. Historically, one of the major concerns people have expressed about online courses is the lack of interaction. People desire digital learning opportunities that mimic face-to-face experiences. Learning management systems and other services are beginning to incorporate recording features that allow both faculty and students to communicate more authentically online.”

 

This is an area where I hope we can make a real difference quickly. A further BlackBoard product will enable us to have video and voice conferencing, recording of online session and audio feedback incorporated into assessment tools. This would, with one single implementation, change our use of a learning management system from one which is a repository of learning object and asynchronous discussion, to one that engages learners and teachers in real time.

 

 Significant Challenges Impeding Ed Tech Adoption in Higher Education

1. Urgent Challenges: Those which we both understand and know how to solve

 Low Digital Fluency of Faculty

“Faculty training still does not acknowledge the fact that digital media literacy continues its rise in importance as a key skill in every discipline and profession. Despite the widespread agreement on the importance of digital media literacy, training in the supporting skills and techniques is rare in teacher education and non-existent in the preparation of faculty.”

This should be easy to solve, so long as we recognise it as a challenge. If we want teaching staff to be able to use the technology that is available to them, then we have to not only ensure that training is available, and people are able to easily access it, but also see the benefits of using the tools available.
Relative Lack of Rewards for Teaching The first university to crack this one will be onto a winner in terms of rewarding teaching staff. No matter how much an institution might commit to teaching, the reward and recognition mechanisms don’t always follow. Clarifying the focus and lines of accountability will go some way to achieving this.

 

2. Difficult Challenges: Those we understand but for which solutions are elusive

 Competition from New Models of Education MOOCs are always cited here, but in themselves, I don’t think they are the competition. However, the change to number allocations will reset the UK market. Other areas of competition for us to consider are private providers – particularly for low cost, employability led subjects. In the future, a more blended approach to the traditional 3 year degree will be a challenge
 Scaling Teaching Innovations

“Our organizations are not adept at moving teaching innovations into mainstream practice.”

“Current organizational promotion structures rarely reward innovation and improvements in teaching and learning. A pervasive aversion to change limits the diffusion of new ideas, and too often discourages experimentation.

This links back to the digital fluency of faculty staff, and rewards for teaching. Like everyone we have struggled to provide reward and recognition – Teaching Excellence Fellowships go so far, but should we see more Professorships based on teaching and learning innovation, having an impact on the organisation?

 

3. Wicked Challenges: Those that are complex to even define, much less address

 Expanding Access

“The off-cited relationship between earning potential and educational attainment plus the clear impact of an educated society on the growth of the middle class is pushing many countries to encourage more and more students to enter universities and colleges.”

In this institution we understand the transformative benefits of HE to those who study with us. The  first challenge for us is to make sure that these students still feel able to enter HE, and the second is to learn to support those who maybe have not been prepared to degree level study through traditional A-level routes. We might need to develop a better idea fox where our students are coming from and how they learn
Keeping Education Relevant

“As online learning and free educational content become more pervasive, institutional stakeholders must address the question of what universities can provide that other approaches cannot, and rethink the value of higher education from a student’s perspective.”

If the content is more freely available than ever before, and video lectures can be downloaded, why come to university? We need opt clearly identify what our proposition is, and then make sure we focus on that.

 

 

Important Developments in Educational Technology for Higher Education

1. Time-to-Adoption Horizon: One Year or Less

Flipped Classroom

“a model of learning that rearranges how time is spent both in and out of class to shift the ownership of learning from the educators to the students. After class, students manage the content they use, the pace and style of learning, and the ways in which they demonstrate their knowledge, and the teacher becomes the guide, adapting instructional approaches to suit their learning needs and supporting their personal learning journeys.”

This is used in plenty of area already to a greater or lesser extent. One thing that might prevent adoption though is that the current model, which includes timetabling, resourcing and estates, is designed around the mass lecture. No matter how many times we are told people don’t learn much in lectures, when you have 200 enrolled in a class, it’s the easy and efficient way to maximise contact hours.
Learning Analytics

“data science with the aim of improving student retention and providing a high quality, personalized experience for learners.”

We have some tools in Blackboard to use for analytics, and we’re improving the data and benchmarks we provide for retention. To really leverage this technology thought would require more investment, and a much clearer vision of what we want to measure, how we will set algorithms to analyse the data and how we design interventions. And above all, would the cost of the data science be repaid by improved student outcomes. Certainly schools and colleges are much more u to speed that the HE sector on using past results in predicting outcomes.

 

2. Time-to-Adoption Horizon: Two to Three Years

3D Printing

“3D printing refers to technologies that construct physical objects from three-dimensional (3D) digital content such as 3D modeling software, computer-aided design (CAD) tools, computer-aided tomography (CAT), and X-ray crystallography.”

Clearly this can be used (and indeed already is) in teaching of design, education and manufacturing. The challenge would be seeing how this technology could help in other disciplines.
 Games and Gamification

“the gamification of education is gaining support among educators who recognize that effectively designed games can stimulate large gains in productivity and creativity among learners”

This isn’t just about playing games – one area where we are already using an element of gamification is in the Staffordshire Graduate Employability project  with the use of badges. How much further this could be extended in HE is questionable, unless the badges had external currency. If they could be earned after study of a recognised MOOC, they may provide additional detail to an HEAR.

 

3. Time-to-Adoption Horizon: Four to Five Years

Quantified Self

“the phenomenon of consumers being able to closely track data that is relevant to their daily activities through the use of technology.”

We need to keep a watching brief on mobile and wearable technologies. As these become pervasive, from BlackBoard Mobile, through Google Glass and devices such as Pebble, can we identify how we can use these to improve student learning?
 Virtual Assistants.

”Virtual assistants are a credible extension of work being done with natural user interfaces (NUIs), and the first examples are already in the marketplace.”

 

Siri and Microsoft Kinect are just the starting points. How will we use these in an educational setting? So far KInect recognises me, and Siri provides answers to simple questions. In 5 years I expect my car to be talking to me.

 

Clearly these are my views only – on this one, I’d really welcome comments, either below, or emailed to me, so that we can update this and use it as a living document.

NMC Horizon Report: 2013 Higher Education Edition

A useful report from the New Media Consortium that many of you will have already seen, but notable that our own Dave Parkes is on the advisory board.

This  report details: key trends; significant challenges and what are perceived to be 6 technologies that are to be watched as they might be expected to have an impact in higher education over  a range of different timescales.

Key Trends

The key trends are identified as:

1. Openness — concepts like open content, open data, and open resources, along with notions of transparency and easy access to data and information — is becoming a value.

2.  Massively open online courses are being widely explored as alternatives and supplements to traditional university courses.

3. The workforce demands skills from college graduates that are more often acquired from informal learning experiences than in universities.

4. There is an increasing interest in using new sources of data for personalizing the learning experience and for performance measurement.

5. The role of educators continues to change due to the vast resources that are accessible to students via the Internet.

6. Education paradigms are shifting to include online learning, hybrid learning, and collaborative models.

Significant Challenges

1. Faculty training still does not acknowledge the fact that digital media literacy continues its rise in importance as a key skill in every discipline and profession.

2. The emergence of new scholarly forms of authoring, publishing, and researching outpace sufficient and scalable modes of assessment.

3. Too often it is education’s own processes and practices that limit broader uptake of new technologies.

4. The demand for personalized learning is not adequately supported by current technology or practices.

5 New models of education are bringing unprecedented competition to the traditional models of higher education.

6 Most academics are not using new technologies for learning and teaching, nor for organizing their own research.

New Technologies – Time to Adoption 1 Year or Less

Massively Open Online Courses (MOOCs)

Tablet Computing

New Technologies – Time to Adoption 2-3 Years

Games and Gamification

Learning Analytics

New Technologies – Time to Adoption 4-5 Years

3D Printing

Wearable Technology