Education Technology
Article | August 4, 2022
Last month, we partnered with Zollege and Snap Medical Assistant Academy to provide over $250,000 in scholarships to aspiring medical assistants. Through their applications, we got the opportunity to learn more about why they want to pursue a medical assistant certification, their goals and how this program can help achieve them, and the impact they hope to have in the healthcare field. Below, we have just a handful of some of our favorite responses!
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Education Technology
Article | July 15, 2022
In early May 2020, Advance HE sent out a call for academics to participate in 'external examiner training' which is certificated as continued professional development. For me, it was astounding that within forty-five minutes of sending the initial call for participants the workshop sessions had all been filled, and a second email was issued advising that interested participants were now being wait-listed. This surge of interest was intriguing as it seemed to either suggest that academics in HE were quite eager for CPD opportunities, or that any training regarding the process and diligences of 'external examining' had much to be desired. I considered myself fortunate to make the cut and found the five-units of training spread over four-weeks of participation to be informative, though not quite what I had initially expected.
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Continuing Education
Article | November 15, 2022
Data and analytics have become a prominent strategy across industries to promote informed decision-making. Riding this wave is the higher education industry. Recently, the higher education IT association inaugurated a data and analytics edition of the Horizon Report, a report that provides a deep analysis of technology trends and practices that impact higher ed institutions. The report confirms that data analytics is an emerging alternative for strategic decision-making and planning.
According to the report, here are the six practices and technologies that will have the greatest impact:
Data Management
Data management and governance includes automating workflow, managing access, consent management, data privacy, and data integrity management. According to Educause, these data processes form an essential part of institutional success and security. Despite this, many institutions rely on multiple committees instead of a dedicated team for data management and governance. This gap is an opportunity for data and analytics solution providers to meet and improve data management in higher ed.
Consolidating Data Sources
Data silos are a common concern in higher ed institutions. The tremendous volumes of data that institutions have stored are never leveraged due to the divide between systems. Unifying these data sources will help higher education institutions build a seamless ecosystem that supports their administrative as well as remote instruction platforms.
Data Architecture
High-end analytics is incomplete without smart data architecture. The scalability and flexibility of the data architecture enables higher ed institutes to be agile and use data effectively to fuel decision-making. Establishing a modern data architecture will be at the top of the list for higher ed institutions.
Data Literacy
Equipping decision-makers and stakeholders with the necessary skills to interpret the insights generated by the data is crucial to the success of the organization. Stakeholders across the institutions in higher education, from management leaders to administrators and teachers, need data literacy training to leverage data efficiently.
DEI-based Data and Analytics
Data analytics professionals are putting more emphasis on diversity, equity, and inclusion (DEI) to drive how they retrieve, analyze, and process data. This will allow higher ed institutions to capitalize on data and analytics to promote their DEI policies, boost equity, and track progress to improve outcomes.
Enhancing Institutions’ Data Analytics
The growing demand for meaningful, and insight-driven data is pressing data professionals to enhance their capabilities and contribute to the institutional capabilities to use data effectively. Institutional leaders can start considering what purpose data analytics might play in the future if stronger procedures are in place. Collaboration between institutions will be more secure, useful, and advantageous. Analytics administrators can anticipate greater outcomes for students, instructors, and staff as data analytics procedures advance.
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Education Technology
Article | December 9, 2021
What role will artificial intelligence play in the future of education? For educators, AI can feel like an exciting development — or a terrifying unknown.
AI technology is advancing quickly and creating solutions once thought impossible. It’s widely available in various technologies and, in many places, already being integrated into the classroom. The pandemic spurred the development of educational technology out of necessity, including the development of AI. Suddenly, educators needed ways to obtain more information virtually.
“We were starting to work on AI during the pandemic, but it sped up because there was a huge demand for it. All these things were happening online, and teachers were saying. I don’t know what’s happening in my classroom anymore."
- Mike Tholfsen, principal group product manager at Microsoft Education
With educators busier than ever, Tholfsen says, the greatest benefit AI can offer them is time. AI programs can gather data teachers would traditionally have to gather themselves manually.
What Is Artificial Intelligence?
Trying to define artificial intelligence is a bit like asking about the meaning of life: You will get a slightly different answer from everyone. At its core, AI is an area of computer science addressing the simulation of intelligent behavior in computers.
Michelle Zimmerman, a classroom teacher, researcher and school leader at Renton Prep Christian School in Washington state and author of the book Teaching AI: Exploring New Frontiers for Learning, notes that psychologists and neurologists in the field don’t even agree on what counts as human intelligence.
The definition also changes over time. Not too long ago, simple calculators were considered AI, while the term now is associated with a variety of innovative technologies, such as those that power content filtering and endpoint security.
Artificial Intelligence vs. Machine Learning: What’s the Difference?
Though not all AI involves machine learning, it is a popular subcategory of the technology. Machine learning refers to machines that process vast amounts of data and also have the capacity to get better at it the more they “learn,” Zimmerman says.
“You can train models with machine learning to improve things. An example is speech-to-text technology,” Tholfsen says.
“Machine learning needs a lot of data to train it to look for patterns and understand what it is looking for. The more data, the more refined or accurate the results. The results, though, are only as good as the data included,” Zimmerman says.
How Can AI Be Used in K–12 Education?
AI is already playing a role in many classrooms and has promising benefits that can be integrated now and in the future.
Intelligent tutors
What if an AI program could play the role of a teacher or coach, leading students through lessons and even motivating them? Nancye Black, founder of the Block Uncarved and project lead for ISTE’s AI Explorations program, says AI can support learners in a variety of ways. As a Columbia University researcher, she’s exploring how avatar interactions impact students. “There is some really promising research around the use of AI agents supporting girls and students of color, who are able to — in a lower-risk situation — ask for help and have social learning, even when they are learning independently,” Black says.
Reading workshops
If educators could host reading workshops around the classroom with each individual student, they would. Instead, AI-powered products such as Microsoft’s Immersive Reader can help educators focus on improving education for the 1 in 7 learners who have a disability, Tholfsen says. The product uses text decoding solutions to individualize instruction.
"Machine learning needs a lot of data to train it to look for patterns and understand what it is looking for. The more data, the more refined or accurate the results.”
- Michelle Zimmerman Classroom Teacher, Researcher and School Leader, Renton Prep Christian School
Translation capabilities
Translation technology is improving quickly, and these tools include more dialects and language nuances every day. A teacher in New York, for example, used AI technology to host a virtual parent night for families who speak multiple different languages, Tholfsen says. Microsoft Translate allows the teacher to generate a code, which broadcasts to everyone connecting to the stream. It translates the speaker’s language into listeners’ languages without the necessity of a human interpreter. “Listeners can type or speak back in their languages, and it cross-translates, so when you type back in Spanish, it goes to me in English, translates to Mike in Italian, and to the person speaking Arabic or Chinese,” Tholfsen says. “It’s like the Star Trek universal translator.”
Low-vision accessibility
Accessibility checkers are helping educators increase access for low-vision students. “We use AI and computer vision to identify what is in an image and generate a caption,” Tholfsen says. “It’s a massive timesaver to do auto-captioning on images, so people are much more likely to make their content accessible.”
The implementation of AI tools won’t replace educators but will instead help them save time. The tech can be customized to fit any classroom, putting educators in control of the AI tools — not the other way around.
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