Searching for "instructional design and education"

instructional designers and education

https://dontatmeedu.com/

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3 types of instructional design

3 types of instructional design on the example of an egg cooking recipe
1. Manual.
“Add salt to the water, boil for 8 minutes, immerse in cold water,” that’s all—a simple sequence of steps.
Manual is the simplest, cheapest, and, unfortunately, the most common type of educational program. Yes, the automatic repetition of actions can lead to something, but any deviation will cause difficulties.
2. Manual with context.
Now imagine this recipe: “During cooking, the shell may crack, and the protein will leak out. To avoid this, add salt to the water. The salt will make the protein curdle.”
The context is added, it is explained why it is necessary to do things in that specific way. This is very important because it provides tools for working with real-life situations.
3. Abstraction.
In fact, this is a context twisted to the maximum. For example: “Salt will make the protein curdle. That is why in the old days, people bandaged purulent wounds with bandages soaked in saltwater.” Two completely different phenomena are taken, and a comparison is made based on a common abstract form.
This type is not always appropriate, but it can ignite the student with unexpected facts and comparisons.

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Designing XR into Higher Education

Immersive Learning Environments: Designing XR into Higher Education

Heather Elizabeth Dodds

https://edtechbooks.org/id_highered/immersive_learning_e

The terms ‘extended reality’ or ‘cross reality’ refer to “technologies and applications that involve combinations of mixed reality (MR), augmented reality (AR), virtual reality (VR), and virtual worlds (VWs)” (Ziker, Truman, & Dodds, 2021, p. 56). Immersive learning definitions draw from Milgram and Kishino’s key taxonomy (1994) emphasizing the continuum of experiences that range from where a computer adds to a learner’s reality with overlays of information, or a computer experientially transports a learner to a different place and time by manipulating sight and sound.

VR Design Model

three different design models (see Figure 3): the ADDIE Design Model (Branson, 1978), Design Thinking (Brown & Wyatt, 2010) from user experience (UX), and the 3D Learning Experience Design Model (Kapp & O’Driscoll, 2009).

Serrat (2008) defines storytelling as “the vivid description of ideas, beliefs, personal experiences, and life-lessons through stories or narratives that evoke powerful emotions and insights” (p.1).

The foundational theory for most XR experiences is experiential learning theory. In cases where users create within XR, constructivist learning theory also applies.

XR experiences can include a story arc (See Appendix D), a tutorial of user affordances, intentional user actions, and place the user into first or third person experiences (Spillers, 2020).

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more on ID in this IMS blog
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ID, UX and LXD

ID, UX and LXD: Differences and Similarities Explained

https://www.linkedin.com/pulse/id-ux-lxd-differences-similarities-explained-sonia-tiwari/

LXD Learning Experience Design
UX User Experience Design
ID Instructional Design

Niels Floor‘s highly informative articles on lxd.org

Instructional Design focuses on instruction, User Experience Design focuses on the user, and Learning Experience Design focuses on the learner. This is not to say that IDs don’t care about learners, or that UX designers do not work on educational products, or that LXDs spend no time thinking about instruction or users. The difference lies in who these designers orient their process towards the most – instruction, user, learner.

history of ID at Instruction Design Central.

more about the origins of UX in this article in Career Foundary by Emily Stevens or this brief intro to HCI in Interaction Design Foundation by John Carroll. If you’re curious, learn about what Don Norman thinks of UX today.

ID as a field tends to be more scientific and organized, following academic frameworks

UX tends to be both scientific and artistic in its approach. UX designers are informed by academic theories and frameworks, but are also flexible and artistic in finding engaging, intuitive solutions to usability issues.

LXD tends to be more artistic than scientific. While LX designers care about the learning process deeply though understanding of related learning theories and cognitive processes of learners, their primary focus is on designing visually stunning, useful, and engaging learning experiences.

IDs are typically working on products such as Courses, e-learning modules, curriculum, workshops. UX designers are typically working on products such as mobile apps, websites, digital games, software. LXDs are typically working on all these things – courses, apps, AND other forms of learning experiences which could take the form of museum exhibits, summer camps, AR interactive booklets, children’s books, movies, toys and games or any other medium that can be used to generate a learning experience.

Indeed.com

software tools are just like paintbrushes, they don’t make an artist. Some popular paintbrushes for IDs are Adobe Captivate, Articulate Storyline, Brainshark. For UX designers some popular tools are Adobe XD, Sketch, Figma, Balsamiq. For LXDs everything Adobe Creative Cloud has to offer – and many other ID/UX tools as well (depending on what the experience design needs) come in handy.

For IDs, one of the popular frameworks is ADDIE: Analyze, Design, Development, Implement, Evaluation

For UX designers, a popular framework quoted often is Design Thinking: Empathize, Define, Ideate, Prototype, Test

For LXDs, Neils floor outlines this LXD process: Question, Research, Design, Build, Test, Improve, Launch

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AI use in education

EDUCAUSE QuickPoll Results: Artificial Intelligence Use in Higher Education

D. Christopher Brooks” Friday, June 11, 2021

https://er.educause.edu/articles/2021/6/educause-quickpoll-results-artificial-intelligence-use-in-higher-education

AI is being used to monitor students and their work. The most prominent uses of AI in higher education are attached to applications designed to protect or preserve academic integrity through the use of plagiarism-detection software (60%) and proctoring applications (42%) (see figure 1).

The chatbots are coming! A sizable percentage (36%) of respondents reported that chatbots and digital assistants are in use at least somewhat on their campuses, with another 17% reporting that their institutions are in the planning, piloting, and initial stages of use (see figure 2). The use of chatbots in higher education by admissions, student affairs, career services, and other student success and support units is not entirely new, but the pandemic has likely contributed to an increase in their use as they help students get efficient, relevant, and correct answers to their questions without long waits.Footnote10 Chatbots may also liberate staff from repeatedly responding to the same questions and reduce errors by deploying updates immediately and universally.

AI is being used for student success tools such as identifying students who are at-risk academically (22%) and sending early academic warnings (16%); another 14% reported that their institutions are in the stage of planning, piloting, and initial usage of AI for these tasks.

Nearly three-quarters of respondents said that ineffective data management and integration (72%) and insufficient technical expertise (71%) present at least a moderate challenge to AI implementation. Financial concerns (67%) and immature data governance (66%) also pose challenges. Insufficient leadership support (56%) is a foundational challenge that is related to each of the previous listed challenges in this group.

Current use of AI

  • Chatbots for informational and technical support, HR benefits questions, parking questions, service desk questions, and student tutoring
  • Research applications, conducting systematic reviews and meta-analyses, and data science research (my italics)
  • Library services (my italics)
  • Recruitment of prospective students
  • Providing individual instructional material pathways, assessment feedback, and adaptive learning software
  • Proctoring and plagiarism detection
  • Student engagement support and nudging, monitoring well-being, and predicting likelihood of disengaging the institution
  • Detection of network attacks
  • Recommender systems

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Future Trends Karl Kapp Instructional Design

On education, instructional design, gaming, and technological possibilities

May 6, 1:00 – 2:20 PM (CDT)

How can we best design learning experiences with technology?  What are the possibilities of gaming and education?

The Future Trends Forum will explore these questions with professor Karl Kapp of Bloomsburg University.

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The Future Trends Forum

Quality online education for higher ed

https://lompocrecord.com/opinion/columnists/jennifer-brown-and-christopher-lynch-quality-online-education-for-higher-ed-requires-public-investment/article_512e95ce-fae0-5d0b-917c-3a2f9232ad74.html

Online coursework must not be considered an inferior or cheaper option. Getting online right requires a significant investment in course development guided by professional course designers who focus on achieving and assessing learning outcomes. Best practices show that developing a quality online course takes about 10 weeks to build with the faculty member working closely alongside an instructional/course designer, and research has shown that in-person instruction improves after working with instructional designers.

An online lecture requires more lecture preparation, continuous monitoring of student progress, increased use of assessment tools, extensive electronic interaction with the students and online office hoursAdditional instructor and teaching assistant support is also needed, as well as technical support.

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Emerging Trends and Impacts of the Internet of Things in Libraries

Emerging Trends and Impacts of the Internet of Things in Libraries

https://www.igi-global.com/gateway/book/244559

Chapters:

Holland, B. (2020). Emerging Technology and Today’s Libraries. In Holland, B. (Eds.), Emerging Trends and Impacts of the Internet of Things in Libraries (pp. 1-33). IGI Global. http://doi:10.4018/978-1-7998-4742-7.ch001

The purpose of this chapter is to examine emerging technology and today’s libraries. New technology stands out first and foremost given that they will end up revolutionizing every industry in an age where digital transformation plays a major role. Major trends will define technological disruption. The next-gen of communication, core computing, and integration technologies will adopt new architectures. Major technological, economic, and environmental changes have generated interest in smart cities. Sensing technologies have made IoT possible, but also provide the data required for AI algorithms and models, often in real-time, to make intelligent business and operational decisions. Smart cities consume different types of electronic internet of things (IoT) sensors to collect data and then use these data to manage assets and resources efficiently. This includes data collected from citizens, devices, and assets that are processed and analyzed to monitor and manage, schools, libraries, hospitals, and other community services.

Makori, E. O. (2020). Blockchain Applications and Trends That Promote Information Management. In Holland, B. (Eds.), Emerging Trends and Impacts of the Internet of Things in Libraries (pp. 34-51). IGI Global. http://doi:10.4018/978-1-7998-4742-7.ch002
Blockchain revolutionary paradigm is the new and emerging digital innovation that organizations have no choice but to embrace and implement in order to sustain and manage service delivery to the customers. From disruptive to sustaining perspective, blockchain practices have transformed the information management environment with innovative products and services. Blockchain-based applications and innovations provide information management professionals and practitioners with robust and secure opportunities to transform corporate affairs and social responsibilities of organizations through accountability, integrity, and transparency; information governance; data and information security; as well as digital internet of things.
Hahn, J. (2020). Student Engagement and Smart Spaces: Library Browsing and Internet of Things Technology. In Holland, B. (Eds.), Emerging Trends and Impacts of the Internet of Things in Libraries (pp. 52-70). IGI Global. http://doi:10.4018/978-1-7998-4742-7.ch003
The purpose of this chapter is to provide evidence-based findings on student engagement within smart library spaces. The focus of smart libraries includes spaces that are enhanced with the internet of things (IoT) infrastructure and library collection maps accessed through a library-designed mobile application. The analysis herein explored IoT-based browsing within an undergraduate library collection. The open stacks and mobile infrastructure provided several years (2016-2019) of user-generated smart building data on browsing and selecting items in open stacks. The methods of analysis used in this chapter include transactional analysis and data visualization of IoT infrastructure logs. By analyzing server logs from the computing infrastructure that powers the IoT services, it is possible to infer in greater detail than heretofore possible the specifics of the way library collections are a target of undergraduate student engagement.
Treskon, M. (2020). Providing an Environment for Authentic Learning Experiences. In Holland, B. (Eds.), Emerging Trends and Impacts of the Internet of Things in Libraries (pp. 71-86). IGI Global. http://doi:10.4018/978-1-7998-4742-7.ch004
The Loyola Notre Dame Library provides authentic learning environments for undergraduate students by serving as “client” for senior capstone projects. Through the creative application of IoT technologies such as Arduinos and Raspberry Pis in a library setting, the students gain valuable experience working through software design methodology and create software in response to a real-world challenge. Although these proof-of-concept projects could be implemented, the library is primarily interested in furthering the research, teaching, and learning missions of the two universities it supports. Whether the library gets a product that is worth implementing is not a requirement; it is a “bonus.”
Rashid, M., Nazeer, I., Gupta, S. K., & Khanam, Z. (2020). Internet of Things: Architecture, Challenges, and Future Directions. In Holland, B. (Ed.), Emerging Trends and Impacts of the Internet of Things in Libraries (pp. 87-104). IGI Global. http://doi:10.4018/978-1-7998-4742-7.ch005
The internet of things (IoT) is a computing paradigm that has changed our daily livelihood and functioning. IoT focuses on the interconnection of all the sensor-based devices like smart meters, coffee machines, cell phones, etc., enabling these devices to exchange data with each other during human interactions. With easy connectivity among humans and devices, speed of data generation is getting multi-fold, increasing exponentially in volume, and is getting more complex in nature. In this chapter, the authors will outline the architecture of IoT for handling various issues and challenges in real-world problems and will cover various areas where usage of IoT is done in real applications. The authors believe that this chapter will act as a guide for researchers in IoT to create a technical revolution for future generations.
Martin, L. (2020). Cloud Computing, Smart Technology, and Library Automation. In Holland, B. (Eds.), Emerging Trends and Impacts of the Internet of Things in Libraries (pp. 105-123). IGI Global. http://doi:10.4018/978-1-7998-4742-7.ch006
As technology continues to change, the landscape of the work of librarians and libraries continue to adapt and adopt innovations that support their services. Technology also continues to be an essential tool for dissemination, retrieving, storing, and accessing the resources and information. Cloud computing is an essential component employed to carry out these tasks. The concept of cloud computing has long been a tool utilized in libraries. Many libraries use OCLC to catalog and manage resources and share resources, WorldCat, and other library applications that are cloud-based services. Cloud computing services are used in the library automation process. Using cloud-based services can streamline library services, minimize cost, and the need to have designated space for servers, software, or other hardware to perform library operations. Cloud computing systems with the library consolidate, unify, and optimize library operations such as acquisitions, cataloging, circulation, discovery, and retrieval of information.
Owusu-Ansah, S. (2020). Developing a Digital Engagement Strategy for Ghanaian University Libraries: An Exploratory Study. In Holland, B. (Eds.), Emerging Trends and Impacts of the Internet of Things in Libraries (pp. 124-139). IGI Global. http://doi:10.4018/978-1-7998-4742-7.ch007
This study represents a framework that digital libraries can leverage to increase usage and visibility. The adopted qualitative research aims to examine a digital engagement strategy for the libraries in the University of Ghana (UG). Data is collected from participants (digital librarians) who are key stakeholders of digital library service provision in the University of Ghana Library System (UGLS). The chapter reveals that digital library services included rare collections, e-journal, e-databases, e-books, microfilms, e-theses, e-newspapers, and e-past questions. Additionally, the research revealed that the digital library service patronage could be enhanced through outreach programmes, open access, exhibitions, social media, and conferences. Digital librarians recommend that to optimize digital library services, literacy programmes/instructions, social media platforms, IT equipment, software, and website must be deployed. In conclusion, a DES helps UGLS foster new relationships, connect with new audiences, and establish new or improved brand identity.
Nambobi, M., Ssemwogerere, R., & Ramadhan, B. K. (2020). Implementation of Autonomous Library Assistants Using RFID Technology. In Holland, B. (Ed.), Emerging Trends and Impacts of the Internet of Things in Libraries (pp. 140-150). IGI Global. http://doi:10.4018/978-1-7998-4742-7.ch008
This is an interesting time to innovate around disruptive technologies like the internet of things (IoT), machine learning, blockchain. Autonomous assistants (IoT) are the electro-mechanical system that performs any prescribed task automatically with no human intervention through self-learning and adaptation to changing environments. This means that by acknowledging autonomy, the system has to perceive environments, actuate a movement, and perform tasks with a high degree of autonomy. This means the ability to make their own decisions in a given set of the environment. It is important to note that autonomous IoT using radio frequency identification (RFID) technology is used in educational sectors to boost the research the arena, improve customer service, ease book identification and traceability of items in the library. This chapter discusses the role, importance, the critical tools, applicability, and challenges of autonomous IoT in the library using RFID technology.
Priya, A., & Sahana, S. K. (2020). Processor Scheduling in High-Performance Computing (HPC) Environment. In Holland, B. (Ed.), Emerging Trends and Impacts of the Internet of Things in Libraries (pp. 151-179). IGI Global. http://doi:10.4018/978-1-7998-4742-7.ch009
Processor scheduling is one of the thrust areas in the field of computer science. The future technologies use a huge amount of processing for execution of their tasks like huge games, programming software, and in the field of quantum computing. In real-time, many complex problems are solved by GPU programming. The primary concern of scheduling is to reduce the time complexity and manpower. Several traditional techniques exit for processor scheduling. The performance of traditional techniques is reduced when it comes to the huge processing of tasks. Most scheduling problems are NP-hard in nature. Many of the complex problems are recently solved by GPU programming. GPU scheduling is another complex issue as it runs thousands of threads in parallel and needs to be scheduled efficiently. For such large-scale scheduling problems, the performance of state-of-the-art algorithms is very poor. It is observed that evolutionary and genetic-based algorithms exhibit better performance for large-scale combinatorial and internet of things (IoT) problems.
Kirsch, B. (2020). Virtual Reality in Libraries. In Holland, B. (Eds.), Emerging Trends and Impacts of the Internet of Things in Libraries (pp. 180-193). IGI Global. http://doi:10.4018/978-1-7998-4742-7.ch010
Librarians are beginning to offer virtual reality (VR) services in libraries. This chapter reviews how libraries are currently using virtual reality for both consumption and creation purposes. Virtual reality tools will be compared and contrasted, and recommendations will be given for purchasing and circulating headsets and VR equipment. Google Tour Creator and a smartphone or 360-degree camera can be used to create a virtual tour of the library and other virtual reality content. These new library services will be discussed along with practical advice and best practices for incorporating virtual reality into the library for instructional and entertainment purposes.
Heffernan, K. L., & Chartier, S. (2020). Augmented Reality Gamifies the Library: A Ride Through the Technological Frontier. In Holland, B. (Ed.), Emerging Trends and Impacts of the Internet of Things in Libraries (pp. 194-210). IGI Global. http://doi:10.4018/978-1-7998-4742-7.ch011
Two librarians at a University in New Hampshire attempted to integrate gamification and mobile technologies into the exploration of, and orientation to, the library’s services and resources. From augmented reality to virtual escape rooms and finally an in-house app created by undergraduate, campus-based, game design students, the library team learned much about the triumphs and challenges that come with attempting to utilize new technologies to reach users in the 21st century. This chapter is a narrative describing years of various attempts, innovation, and iteration, which have led to the library team being on the verge of introducing an app that could revolutionize campus discovery and engagement.
Miltenoff, P. (2020). Video 360 and Augmented Reality: Visualization to Help Educators Enter the Era of eXtended Reality. In Holland, B. (Eds.), Emerging Trends and Impacts of the Internet of Things in Libraries (pp. 211-225). IGI Global. http://doi:10.4018/978-1-7998-4742-7.ch012
The advent of all types of eXtended Reality (XR)—VR, AR, MR—raises serious questions, both technological and pedagogical. The setup of campus services around XR is only the prelude to the more complex and expensive project of creating learning content using XR. In 2018, the authors started a limited proof-of-concept augmented reality (AR) project for a library tour. Building on their previous research and experience creating a virtual reality (VR) library tour, they sought a scalable introduction of XR services and content for the campus community. The AR library tour aimed to start us toward a matrix for similar services for the entire campus. They also explored the attitudes of students, faculty, and staff toward this new technology and its incorporation in education, as well as its potential and limitations toward the creation of a “smart” library.

the necessity for ed instructional designers

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Designing an Online Lesson Using the 5 Es Instructional Model

Tips for Designing an Online Learning Experience Using the 5 Es Instructional Model

the Hyperdoc website and check out the templates and already-created hyperdocs available for teachers. Lisa HighfillKelly Hilton, and Sarah Landis are the authors of The Hyperdoc Handbook and have created a website full of free resources for teachers.

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