Technology enhanced learning (TEL) aims to enrich education through new and existing learning experiences using technology, according to Laurillard, Oliver, Wasson & Hoppe. While some technologies may become obsolete, TEL has the potential to benefit both educators and students if implemented effectively. The purpose of the TEL group is to establish aims, priorities, and a meeting schedule to explore how technology can most positively impact learning.
This document discusses machine learning applications and provides examples. It begins with an overview of machine learning algorithms being used in parallel to combine results from individual classifiers and extract all possible information from datasets. It then provides examples of mobile marketplaces using machine learning for fraud detection, personalization, and other applications. It concludes by discussing how machine learning can be incorporated into design to make use of visual, aural, corporal, and environmental inputs.
This document discusses the reasons why the author chose to teach at a community college rather than finish their PhD. It also outlines the author's approach to teaching, which is informed by reading works in their field and education blogs. The author describes being involved in educational research by proposing interventions for students, studying their impact, and publishing the results. The author proposes a new model for research that could crowdsource data collection from community college instructors to universities to accelerate the pace of research.
Taking forward change in technology-enhanced educationRichard Hall
My presentation for the JISC-funded Strategy Cascade: Taking forward change in technology-enhanced education workshop, run by Mark Johnson [University of Bolton] and Keith Smythe [Edinburgh Napier University]. See: http://strategycascade.wordpress.com/
We’ve seen many major industries undergo dramatic change in the last decade (i.e. manufacturing, newspapers, and customer service). With the introduction of MOOCs, adaptive learning systems, and content-delivery platforms, higher education doesn’t seem as “untouchable” as it used to. How can you stay ahead of the trends and stay relevant in this new world of technology-enhanced education?
Evidence-based practice in technology-enhanced learningJisc
How much do we know about what works in technology-enhanced learning in higher education?
How can universities and course teams ensure that they’re making most effective use of technology to improve students’ learning experience?
In this workshop you will hear from a range of universities on how they explore impact and what they’ve discovered about what works, and share any findings of your own.
We will also discuss how the evidence base can be brought together and made more accessible.
How does technology-enhanced learning contribute to teaching excellence?Jisc
Speakers:
Sarah Davies, head of higher eduaction and student experience, Jisc
Dr Rhona Sharpe, deputy HR director and head of OCSLD, Oxford Brookes University
Prof Paul Bartholomew, pro vice-chancellor student experience, Ulster University
The introduction of the Teaching Excellence Framework (TEF) has focused attention on how technology-enhanced learning contributes to teaching excellence, and how we can begin to evidence this.
In this session our speakers will consider what strategies universities can use to engage staff and students in order to make the most of technology to support learning, teaching and the student experience.
We also discuss how pedagogy can drive take-up of technology enhanced learning, and how technology-enhanced approaches can contribute to the TEF.
Technology enhanced learning (TEL) aims to enrich education through new and existing learning experiences using technology, according to Laurillard, Oliver, Wasson & Hoppe. While some technologies may become obsolete, TEL has the potential to benefit both educators and students if implemented effectively. The purpose of the TEL group is to establish aims, priorities, and a meeting schedule to explore how technology can most positively impact learning.
This document discusses machine learning applications and provides examples. It begins with an overview of machine learning algorithms being used in parallel to combine results from individual classifiers and extract all possible information from datasets. It then provides examples of mobile marketplaces using machine learning for fraud detection, personalization, and other applications. It concludes by discussing how machine learning can be incorporated into design to make use of visual, aural, corporal, and environmental inputs.
This document discusses the reasons why the author chose to teach at a community college rather than finish their PhD. It also outlines the author's approach to teaching, which is informed by reading works in their field and education blogs. The author describes being involved in educational research by proposing interventions for students, studying their impact, and publishing the results. The author proposes a new model for research that could crowdsource data collection from community college instructors to universities to accelerate the pace of research.
Taking forward change in technology-enhanced educationRichard Hall
My presentation for the JISC-funded Strategy Cascade: Taking forward change in technology-enhanced education workshop, run by Mark Johnson [University of Bolton] and Keith Smythe [Edinburgh Napier University]. See: http://strategycascade.wordpress.com/
We’ve seen many major industries undergo dramatic change in the last decade (i.e. manufacturing, newspapers, and customer service). With the introduction of MOOCs, adaptive learning systems, and content-delivery platforms, higher education doesn’t seem as “untouchable” as it used to. How can you stay ahead of the trends and stay relevant in this new world of technology-enhanced education?
Evidence-based practice in technology-enhanced learningJisc
How much do we know about what works in technology-enhanced learning in higher education?
How can universities and course teams ensure that they’re making most effective use of technology to improve students’ learning experience?
In this workshop you will hear from a range of universities on how they explore impact and what they’ve discovered about what works, and share any findings of your own.
We will also discuss how the evidence base can be brought together and made more accessible.
How does technology-enhanced learning contribute to teaching excellence?Jisc
Speakers:
Sarah Davies, head of higher eduaction and student experience, Jisc
Dr Rhona Sharpe, deputy HR director and head of OCSLD, Oxford Brookes University
Prof Paul Bartholomew, pro vice-chancellor student experience, Ulster University
The introduction of the Teaching Excellence Framework (TEF) has focused attention on how technology-enhanced learning contributes to teaching excellence, and how we can begin to evidence this.
In this session our speakers will consider what strategies universities can use to engage staff and students in order to make the most of technology to support learning, teaching and the student experience.
We also discuss how pedagogy can drive take-up of technology enhanced learning, and how technology-enhanced approaches can contribute to the TEF.