the popular hip-hop lyrics Web siteRap Genius, will announce a pilot project to use hip-hop to teach science in 10 New York City public schools. The pilot is small, but its architects’ goals are not modest. Dr. Emdin, who has written a book called “Urban Science Education for the Hip-Hop Generation,”
hip-hop “cypher,” participants stand in a circle and take turns rapping, often supporting or playing off one another’s rhymes.
“All of those things that are happening in the hip-hop cypher are what should happen in an ideal classroom.”
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Students analyze rap lyrics with code in digital humanities class
Some teachers are finding a place for coding in English, music, science, math and social studies, too
by TARA GARCÍA MATHEWSON October 18, 2018
Fifteen states now require all high schools to offer computer science courses. Twenty-three states have created K-12 computer science standards. And 40 states plus the District of Columbia allow students to count computer science courses toward high school math or science graduation requirements. That’s up from 12 states in 2013, when Code.org launched, aiming to expand access to computer science in U.S. schools and increase participation among girls and underrepresented minorities in particular.
Vine, R. (2018). Realigning liaison with university priorities: Observations from ARL Liaison Institutes 2015–18. College & Research Libraries News, 70(9). https://doi.org/10.5860/crln.79.8.420
Rita Vine is head of faculty and student engagement at the University of Toronto Libraries, email: rita.vine@utoronto.ca. In 2017–18, she was visiting program officer for the Reimaging Library Liaison initiative at the Association of Research Libraries.
The overarching goal of the institutes is to acknowledge a library’s primary traditional services (instruction, collections, reference) while challenging conventional thinking about what is needed for the future and how best to provide it. Exercises are designed to help librarians move from “what’s in it for the library” to “what’s in it for the university.”
Top ten observations
1. Liaison librarians would benefit from greater exposure to institutional research priorities at their university.
2. Liaisons find it easiest to engage in classroom support and access library resources. Research engagement is harder. Moving into new areas of engagement is challenging when faculty continue to see librarians as buyers of content or helpers of students.5 Liaisons experience little pressure from individual faculty to venture into new areas that have not been typically associated with libraries. If asked to engage in new areas, some liaisons find it intimidating to step outside of familiar roles to probe and advocate for new capabilities and services that faculty may not be ready to discuss, or which liaisons may not yet fully understand.
3. Liaisons are both eager and anxious about shifting their roles from service to engagement. Anxiety manifests itself in feeling inexpert or untrained in technical areas.
The need for training in many different and complex technical skills, like data numeracy, publishing practices, and research data management,
4. Many liaisons’ professional identity and value system revolves around disciplinarity, service, and openness, and less around outreach and impact.
5. Some liaisons see outreach and engagement as equivalent to advocacy, library “flag-waving,” and sometimes “not my job.” My note: as in “library degree is no less better the Ph.D., it is like a physicians degree.”
6. Finding time, space, and motivation to undertake deeper outreach is daunting to many liaisons. Liaisons were very reluctant to identify any current activities that could be terminated or reimagined in order to make time for new forms of engagement. Particularly in institutions where librarians enjoy faculty status, finding time to engage in personal research concerned liaisons more than finding time for outreach.
7. Liaisons want to deepen their relationships with faculty, but are unclear about ways to do this beyond sending an email and waiting.
8. Many liaisons are unclear about how their work intersects with that of functional specialists, and may need prompting to see opportunities for collaboration with them.
9. While liaisons place considerable value on traditional library services, they have difficulty articulating the value of those services when they put themselves in the shoes of their users. Groups struggled to find value in aspects of traditional services, but had little appetite for serious reconsideration of services that may have lost all or most of their value relative to the time and energy expended to deliver them.
10. For liaisons, teaming with others raises concerns about how teamwork translates into merit, promotion, and other tangible rewards. Liaisons wonder how the need for increased teaming and collaboration will impact their reward structure. My note: I read between the lines of this particular point: it is up to the administrator to become a leader!!! A leader can alleviate such individualistic concerns and raise the individuals to a team.
three recommendations for research libraries to consider to help their workforce move to a robust engagement and impact model.
Foster more frequent and deeper communication between librarians and faculty to understand their research and teaching challenges. Many liaisons will not take even modest communications risks, such as engaging in conversations with faculty in areas where they feel inexpert, without strong but supportive management interventions (as per my note above).
Find ways to help librarians use internal teaming and collaborations to solve university challenges.My note: Chris Kvaal, thank you for introducing me to the “hundred squirrels in one room” allegory. To find way to help librarians use internal teaming, librarians must be open to the mere idea of teaming.
Increase liaison activity with non-departmentalized units on campus, which are often drivers of institutional initiatives and university priorities. Units such as institutional research services, teaching centers, and senior university offices can connect the library to high-level institutional projects and provide opportunities to engage more liaisons and functional specialists in these areas.
United States digital literacy frameworks tend to focus on educational policy details and personal empowerment, the latter encouraging learners to become more effective students, better creators, smarter information consumers, and more influential members of their community.
National policies are vitally important in European digital literacy work, unsurprising for a continent well populated with nation-states and struggling to redefine itself, while still trying to grow economies in the wake of the 2008 financial crisis and subsequent financial pressures
African digital literacy is more business-oriented.
Middle Eastern nations offer yet another variation, with a strong focus on media literacy. As with other regions, this can be a response to countries with strong state influence or control over local media. It can also represent a drive to produce more locally-sourced content, as opposed to consuming material from abroad, which may elicit criticism of neocolonialism or religious challenges.
p. 14 Digital literacy for Humanities: What does it mean to be digitally literate in history, literature, or philosophy? Creativity in these disciplines often involves textuality, given the large role writing plays in them, as, for example, in the Folger Shakespeare Library’s instructor’s guide. In the digital realm, this can include web-based writing through social media, along with the creation of multimedia projects through posters, presentations, and video. Information literacy remains a key part of digital literacy in the humanities. The digital humanities movement has not seen much connection with digital literacy, unfortunately, but their alignment seems likely, given the turn toward using digital technologies to explore humanities questions. That development could then foster a spread of other technologies and approaches to the rest of the humanities, including mapping, data visualization, text mining, web-based digital archives, and “distant reading” (working with very large bodies of texts). The digital humanities’ emphasis on making projects may also increase
Digital Literacy for Business: Digital literacy in this world is focused on manipulation of data, from spreadsheets to more advanced modeling software, leading up to degrees in management information systems. Management classes unsurprisingly focus on how to organize people working on and with digital tools.
Digital Literacy for Computer Science: Naturally, coding appears as a central competency within this discipline. Other aspects of the digital world feature prominently, including hardware and network architecture. Some courses housed within the computer science discipline offer a deeper examination of the impact of computing on society and politics, along with how to use digital tools. Media production plays a minor role here, beyond publications (posters, videos), as many institutions assign multimedia to other departments. Looking forward to a future when automation has become both more widespread and powerful, developing artificial intelligence projects will potentially play a role in computer science literacy.
In traditional instruction, students’ first contact with new ideas happens in class, usually through direct instruction from the professor; after exposure to the basics, students are turned out of the classroom to tackle the most difficult tasks in learning — those that involve application, analysis, synthesis, and creativity — in their individual spaces. Flipped learning reverses this, by moving first contact with new concepts to the individual space and using the newly-expanded time in class for students to pursue difficult, higher-level tasks together, with the instructor as a guide.
Let’s take a look at some of the myths about flipped learning and try to find the facts.
Myth: Flipped learning is predicated on recording videos for students to watch before class.
Fact: Flipped learning does not require video. Although many real-life implementations of flipped learning use video, there’s nothing that says video must be used. In fact, one of the earliest instances of flipped learning — Eric Mazur’s peer instruction concept, used in Harvard physics classes — uses no video but rather an online text outfitted with social annotation software. And one of the most successful public instances of flipped learning, an edX course on numerical methods designed by Lorena Barba of George Washington University, uses precisely one video. Video is simply not necessary for flipped learning, and many alternatives to video can lead to effective flipped learning environments [http://rtalbert.org/flipped-learning-without-video/].
Fact: Flipped learning optimizes face-to-face teaching. Flipped learning may (but does not always) replace lectures in class, but this is not to say that it replaces teaching. Teaching and “telling” are not the same thing.
Myth: Flipped learning has no evidence to back up its effectiveness.
Fact: Flipped learning research is growing at an exponential pace and has been since at least 2014. That research — 131 peer-reviewed articles in the first half of 2017 alone — includes results from primary, secondary, and postsecondary education in nearly every discipline, most showing significant improvements in student learning, motivation, and critical thinking skills.
Myth: Flipped learning is a fad.
Fact: Flipped learning has been with us in the form defined here for nearly 20 years.
Myth: People have been doing flipped learning for centuries.
Fact: Flipped learning is not just a rebranding of old techniques. The basic concept of students doing individually active work to encounter new ideas that are then built upon in class is almost as old as the university itself. So flipped learning is, in a real sense, a modern means of returning higher education to its roots. Even so, flipped learning is different from these time-honored techniques.
Myth: Students and professors prefer lecture over flipped learning.
Fact: Students and professors embrace flipped learning once they understand the benefits. It’s true that professors often enjoy their lectures, and students often enjoy being lectured to. But the question is not who “enjoys” what, but rather what helps students learn the best.They know what the research says about the effectiveness of active learning
Assertion: Flipped learning provides a platform for implementing active learning in a way that works powerfully for students.
The Exposure Approach: we don’t provide a way for participants to determine if they learned anything new or now have the confidence or competence to apply what they learned.
The Exemplar Approach: from ‘show and tell’ for adults to show, tell, do and learn.
The Tutorial Approach: Getting a group that can meet at the same time and place can be challenging. That is why many faculty report a preference for self-paced professional development.build in simple self-assessment checks. We can add prompts that invite people to engage in some sort of follow up activity with a colleague. We can also add an elective option for faculty in a tutorial to actually create or do something with what they learned and then submit it for direct or narrative feedback.
The Course Approach: a non-credit format, these have the benefits of a more structured and lengthy learning experience, even if they are just three to five-week short courses that meet online or in-person once every week or two.involve badges, portfolios, peer assessment, self-assessment, or one-on-one feedback from a facilitator
The Academy Approach: like the course approach, is one that tends to be a deeper and more extended experience. People might gather in a cohort over a year or longer.Assessment through coaching and mentoring, the use of portfolios, peer feedback and much more can be easily incorporated to add a rich assessment element to such longer-term professional development programs.
The Mentoring Approach: The mentors often don’t set specific learning goals with the mentee. Instead, it is often a set of structured meetings, but also someone to whom mentees can turn with questions and tips along the way.
The Coaching Approach: A mentor tends to be a broader type of relationship with a person.A coaching relationship tends to be more focused upon specific goals, tasks or outcomes.
The Peer Approach:This can be done on a 1:1 basis or in small groups, where those who are teaching the same courses are able to compare notes on curricula and teaching models. They might give each other feedback on how to teach certain concepts, how to write syllabi, how to handle certain teaching and learning challenges, and much more. Faculty might sit in on each other’s courses, observe, and give feedback afterward.
The Self-Directed Approach:a self-assessment strategy such as setting goals and creating simple checklists and rubrics to monitor our progress. Or, we invite feedback from colleagues, often in a narrative and/or informal format. We might also create a portfolio of our work, or engage in some sort of learning journal that documents our thoughts, experiments, experiences, and learning along the way.
In 2014, administrators at Central Piedmont Community College (CPCC) in Charlotte, North Carolina, began talks with members of the North Carolina State Board of Community Colleges and North Carolina Community College System (NCCCS) leadership about starting a CBE program.
Building on an existing project at CPCC for identifying the elements of a digital learning environment (DLE), which was itself influenced by the EDUCAUSE publication The Next Generation Digital Learning Environment: A Report on Research,1 the committee reached consensus on a DLE concept and a shared lexicon: the “Digital Learning Environment Operational Definitions,
Whether your school or district has officially adopted social media or not, conversations are happening in and around your school on everything from Facebook to Snapchat. Schools must reckon with this reality and commit to supporting thoughtful and critical social media use among students, teachers and administrators. If not, schools and classrooms risk everything from digital distraction to privacy violations.
Key Elements to Include in a Social Media Policy
Create parent opt-out forms that specifically address social media use.Avoid blanket opt-outs that generalize all technology or obfuscate how specific social media platforms will be used. (See this example by the World Privacy Forum as a starting point.)
Use these opt-out forms as a way to have more substantive conversations with parents about what you’re doing and why.
Describe what platforms are being used, where, when and how.
Avoid making the consequences of opt-out selections punitive (e.g., student participation in sports, theater, yearbook, etc.).
Restrict location sharing: Train teachers and students on how to turn off geolocation features/location services on devices as well as in specific apps.
Minimize information shared in teacher’s social media profiles: Advise teachers to list only grade level and subject in their public profiles and not to include specific school or district information.
Make social media use transparent to students: Have teachers explain their social media plan, and find out how students feel about it.
Most important: As with any technology, attach social media use to clearly articulated goals for student learning. Emphasize in your guidelines that teachers should audit any potential use of social media in terms of student-centered pedagogy: (1) Does it forward student learning in a way impossible through other means? and (2) Is using social media in my best interests or in my students’?
Moving from Policy to Practice.
Social media policies, like policies in general, are meant to mitigate the risk and liability of institutions rather than guide and support sound pedagogy and student learning. They serve a valuable purpose, but not one that impacts classrooms. So how do we make these policies more relevant to classrooms?
First, it forces policy to get distilled into what impacts classroom instruction and administration. Second, social media changes monthly, and it’s much easier to update a faculty handbook than a policy document. Third, it allows you to align social media issues with other aspects of teaching (assessment, parent communication, etc.) versus separating it out in its own section.
Hahn, J. (2018). Virtual reality learning environments | Development of multi-user reference support experiences | Information and Learning Science | Ahead of Print. EmeraldInsight. Retrieved from https://www.emeraldinsight.com/eprint/AU2Q4SJGYQG5YTQ5A9RU/full
case study: an undergraduate senior projects computer science course collaboration whose aim was to develop textual browsing experiences, among other library reference functionality, within the HTC Vive virtual reality (VR) headset. In this case study, readers are introduced to applied uses of VR in service to library-based learning through the research and development of a VR reading room app with multi-user support. Within the VR reading room prototype, users are able to collaboratively explore the digital collections of HathiTrust, highlight text for further searching and discovery and receive consultative research support from a reference specialist through VR.
Library staff met with the project team weekly over the 16 weeks of both semesters to first scope out the functionality of the system and vet requirements.
The library research team further hypothesized that incorporating reference-like support in the VR environment can support library learning. There is ample evidence in the library literature which underscores the importance of reference interactions as learning and instructional experiences for university students
Educational benefits to immersive worlds include offering a deeper presence in engagement with rare or non-accessible artifacts. Sequeira and Morgado (2013, p. 2) describe their Virtual Archeology project as using “a blend of techniques and methods employed by historians and archaeologists using computer models for visualizing cultural artefacts and heritage sites”.
The higher-end graphics cards include devices such as the NVIDIA GeForceTM GTX 1060 or AMD RadeonTM RX 480, equivalent or better. The desktop system that was built for this project used the GeForce GTX 1070, which was slightly above the required minimum specifications.
Collaboration: Library as client.
Specific to this course collaboration, computer science students in their final year of study are given the option of several client projects on which to work. The Undergraduate Library has been a collaborator with senior computer science course projects for several years, beginning in 2012-2013 with mobile application design and chat reference software re-engineering (Hahn, 2015). (My note: Mark Gill, this is where and how Mehdi Mekni, you and I can collaborate)
The hurdles the students had the most trouble with was code integration – e.g. combining various individual software parts towards the end of the semester. The students also were challenged by the public HathiTrust APIs, as the system was developed to call the HathiTrust APIs from within the Unity programming environment and developing API calls in C#. This was a novel use of the HathiTrust search APIs for the students and a new area for the research team as well.
There are alternatives to Unity C# programming, notably WebVR, an open source specification for VR programming on the open web.
A-Frame has seen maturation as a platform agnostic and device agnostic software programming environment. The WebVR webpage notes that the specification supports HTC Vive, Oculus Rift, Samsung Gear VR, Google Daydream and Google Cardboard (WebVR Rocks, 2018). Open web platforms are consistent with library values and educational goals of sharing work that can be foundational in implementing VR learning experience both in VR environments and shareable on the web, too.
College students’ perceptions of pleasure in learning – Designing gameful gamification in education
investigate behavioral and psychological metrics that could affect learner perceptions of technology
today’s learners spend extensive time and effort posting and commenting in social media and playing video games
Creating pleasurable learning experiences for learners can improve learner engagement.
uses game-design elements in non-gaming environments with the purpose of motivating users to behave in a certain direction (Deterding et al., 2011)
How can we facilitate the gamefulness of gamification?
Most gamified activities include three basic parts: “goal-focused activity, reward mechanisms, and progress tracking” (Glover, 2013, p. 2000).
gamification works similarly to the instructional methods in education – clear learning and teaching objectives, meaningful learning activities, and assessment methods that are aligned with the objectives
the design of seven game elements:
Storytelling: It provides the rules of the gamified activities. A good gamified activity should have a clear and simple storyboard to direct learners to achieve the goals. This game-design element works like the guidelines and directions of an instructional activity in class.
Levels: A gamified activity usually consists of different levels for learners to advance through. At each level, learners will face different challenges. These levels and challenges can be viewed as the specific learning objectives/competencies for learners to accomplish.
Points: Points pertain to the progress-tracking element because learners can gain points when they complete the quests.
Leaderboard: This element provides a reward mechanism that shows which learners are leading in the gamified activities. This element is very controversial when gamification is used in educational contexts because some empirical evidence shows that a leaderboard is effective only for users who are aggressive and hardcore players (Hamari, Koivisto, & Sarsa, 2014).
Badges: These serve as milestones to resemble the rewards that learners have achieved when they complete certain quests. This element works as the extrinsic motivation for learners (Kapp, 2012).
Feedback: A well-designed gamification interface should provide learners with timely feedback in order to help them to stay on the right track.
Progress: A progress-tracking bar should appear in the learner profile to remind learners of how many quests remain and how many quests they have completed.
Dominguez et al. (2013) suggested that gamification fosters high-order thinking, such as problem-solving skills, rather than factual knowledge. Critical thinking, which is commonly assessed in social science majors, is also a form of higher-order thinking.
Davis (1989) developed technology acceptance model (TAM) to help people understand how users perceive technologies. Pleasure, arousal, and dominance (PAD) emotional-state model that developed by Mehrabian (1995) is one of the fundamental design frameworks for scale development in understanding user perceptions of user-system interactions.
Van der Heijdedn (2004) asserted that pleasurable experiences encouraged users to use the system for a longer period of time Self-determination theory (Deci & Ryan, 1985) has been integrated into the design of gamification and addressed the balance between learners’ extrinsic and intrinsic motivation.
Ryan and Deci (2000) concluded that extrinsic rewards might suppress learners’ intrinsic motivation. Exploiting the playfulness and gamefulness in gamification, therefore, becomes extremely important, as it would employ the most effective approaches to engage learners.
Sweetser and Wyeth (2005) developed GameFlow as an evaluation model to measure player enjoyment in games
Fu, Su, and Yu (2009) adapted this scale to EGameFlow in order to measure college students’ enjoyment of e-learning games. EGameFlow is a multidimensional scale that consists of self-evaluated emotions.
Eppmann, Bekk, and Klein (2018) developed gameful experience scale (GAMEX) to measure gameful experiences for gamification contexts. one of the limitations of GAMEX to be used in education is that its effects on learning outcome has not been studied
the Big Five Model, which has been proposed as trait theory by McCrae & Costa (1989) and is widely accepted in the field, to measure the linkages between the game mechanics in gamification and the influences of different personality traits.
Storytelling in the subscale of Preferences for Instruction emphasizes the rules of the gamified learning environments, such as the syllabus of the course, the rubrics for the assignments, and the directions for tasks. Storytelling in the subscale of Preferences for Instructors’ Teaching Style focuses on the ways in which instructors present the content. For example, instructors could use multimedia resources to present their instructional materials. Storytelling in the subscale of Preferences for Learning Effectiveness emphasizes scaffolding materials for the learners, such as providing background information for newly introduced topics.
The effective use of badges would include three main elements: signifier, completion logic, and rewards (Hamari & Eranti, 2011). A useful badge needs clear goal-setting and prompt feedback. Therefore, badges correlate closely with the design of storytelling (rules) and feedback, which are the key game design elements in the subscale of Preferences for Instruction.
Students can use Google to search on their laptops or tablets in class when instructors introduce new concepts. By reading the reviews and viewing the numbers of “thumbs-up” (agreements by other users), students are able to select the best answers. Today’s learners also “tweet” on social media to share educational videos and news with their classmates and instructors. Well-designed gamified learning environments could increase pleasure in learning by allowing students to use familiar computing experiences in learning environments.
Tired of hearing all the reasons why you should be using Twitter, Facebook, LinkedIn, and other popular social media tools? Perhaps it’s time to explore social media tools in a supportive and engaging environment with a keen eye toward using those tools more effectively in your work.
Join us and social media guru and innovator Paul Signorelli in this four-week, highly-interactive eCourse as he explores a variety of social media tools in terms of how they can be used to organize information and communities. Together, you will survey and use a variety of social media tools, such as Delicious, Diigo, Facebook, Goodreads, Google Hangouts, LibraryThing, Pinterest, Twitter, and more! You will also explore how social media tools can be used to organize and disseminate information and how they can be used to foster and sustain communities of learning.
After participating in this eCourse, you will have an:
Awareness of how social media tools can be used to support the work you do with colleagues and other community stakeholders in fostering engagement through onsite and online communities
Increased ability to identify, explore, and foster the use of social media tools that support you and those you serve
Increased ability to use a variety of social media tools effectively in your day-to-day work
Part 1: Using Social Media Tools to Organize and Provide Access to Information
Delicious, Diigo, Goodreads, LibraryThing, and other tagging sites
Part 2: Organizing, Marketing, and Running Programs
Facebook, Pinterest, and other tools for engagement
Part 3: Expanding and Analyzing Community Impact
Twitter, Storify, and other microblogging resources
Part 4: Sustaining Engagement with Community Partners
Coordinating your presence and interactions across a variety of social media tools
trainer-instructional designer-presenter-consultant. Much of his work involves fostering community and collaboration face-to-face and online through libraries, other learning organizations, and large-scale community-based projects including San Francisco’s Hidden Garden Steps project, which has its origins in a conversation that took place within a local branch library. He remains active on New Media Consortium Horizon Report advisory boards/expert panels, in the Association for Talent Development (ATD–formerly the American Society for Training & Development), and with the American Library Association; adores blended learning; and remains a firm advocate of developing sustainable onsite and online community partnerships that meet all partners’ needs. He is co-author of Workplace Learning & Leadership with Lori Reed and author of the upcoming Change the World Using Social Media (Rowman & Littlefield, Autumn 2018).
But the rationale that I find most disturbing—despite, or perhaps because of, the fact that it’s rarely made explicit—is the idea that technology will increase our efficiency…at teaching the same way that children have been taught for a very long time. Perhaps it hasn’t escaped your notice that ed tech is passionately embraced by very traditional schools: Their institutional pulse quickens over whatever is cutting-edge: instruction that’s blended, flipped, digitally personalized.
We can’t answer the question “Is tech useful in schools?” until we’ve grappled with a deeper question: “What kinds of learning should be taking place in those schools?”
Tarting up a lecture with a SmartBoard, loading a textbook on an iPad, looking up facts online, rehearsing skills with an “adaptive learning system,” writing answers to the teacher’s (or workbook’s) questions and uploading them to Google Docs—these are examples of how technology may make the process a bit more efficient or less dreary but does nothing to challenge the outdated pedagogy. To the contrary: These are shiny things that distract us from rethinking our approach to learning and reassure us that we’re already being innovative.
putting grades online (thereby increasing their salience and their damaging effects), using computers to administer tests and score essays, and setting up “embedded” assessment that’s marketed as “competency-based.” (If your instinct is to ask “What sort of competency? Isn’t that just warmed-over behaviorism?”
But as I argued not long ago, we shouldn’t confuse personalized learning with personal learning. The first involves adjusting the difficulty level of prefabricated skills-based exercises based on students’ test scores, and it requires the purchase of software. The second involves working with each student to create projects of intellectual discovery that reflect his or her unique needs and interests, and it requires the presence of a caring teacher who knows each child well.a recent review found that studies of tech-based personalized instruction “show mixed results ranging from modest impacts to no impact” – despite the fact that it’s remarkably expensive.
an article in Education Week, “a host of national and regional surveys suggest that teachers are far more likely to use tech to make their own jobs easier and to supplement traditional instructional strategies than to put students in control of their own learning.”
OECD reportednegative outcomes when students spent a lot of time using computers, while Stanford University’s Center for Research on Education Outcomes (CREDO) concluded that online charter schools were basically a disaster.
Larry Cuban, Sherry Turkle, Gary Stager, and Will Richardson.
Emily Talmage points out, uncannily aligned with the wish list of the Digital Learning Council, a group consisting largely of conservative advocacy groups and foundations, and corporations with a financial interest in promoting ed tech.
At Northwestern’s Auditory Neuroscience Lab, Kraus and colleagues measure how the brain responds when various sounds enter the ear. They’ve found that the brain reacts to sound in microseconds, and that brain waves closely resemble the sound waves.
Making sense of sound is one of the most “computationally complex” functions of the brain, Kraus said, which explains why so many language and other disorders, including autism, reveal themselves in the way the brain processes sound. The way the brain responds to the “ingredients” of sound—pitching, timing and timbre—is a window into brain health and learning ability.
practical suggestions for creating space “activities that promote sound-to-meaning development,” whether at home or in school:
Reduce noise. Chronic background noise is associated with several auditory and learning problems: it contributes to “neural noise,” wherein brain neurons fire spontaneously in the absence of sound; it reduces the brain’s sensitivity to sound; and it slows auditory growth.
Read aloud. Even before kids are able to read themselves, hearing stories told by others develops vocabulary and builds working memory; to understand how a story unfolds, listeners, need to remember what was said before.
Encourage children to play a musical instrument. “There is an explicit link between making music and strengthening language skills, so that keeping music education at the center of curricula can pay big dividends for children’s cognitive, emotional, and educational health.Two years of music instruction in elementary and even secondary school can trigger biological changes in how the brain processes sound, which in turn affects language development.
Listen to audiobooks and podcasts. Well-told stories can draw kids in and build attention skills and working memory. The number and quality of these recordings has exploded in recent years, making it that much easier to find a good fit for individuals and classes.
Support learning a second language. Growing up in a bilingual environment causes a child’s brain to manage two languages at once.
Avoid white noise machines. In an effort to soothe children to sleep, some parents set up sound machines in bedrooms. These devices, which emit “meaningless sound,” as Kraus put it, can interfere with how the brain develops sound-processing circuitry.
Use the spread of technology to your advantage. Rather than bemoan the constant bleeping and chirping of everyday life, much of it the result of technological advances, welcome the new sound opportunities these developments provide. Technologies that shrink the globalized world enable second-language learning.
From: The EDUCAUSE Blended and Online Learning Constituent Group Listserv <BLEND-ONLINE@LISTSERV.EDUCAUSE.EDU> on behalf of Robert, Jenay <jrr296@PSU.EDU> Sent: Wednesday, September 5, 2018 9:58:49 AM
Dear colleagues,
I am collaborating on a project comparing the efficacy of two types of instructional videos. We are looking for literature that describes similar research. For example, a study might compare students who have watched voice-over ppt slides and students who have watched Khan-style videos, examining students’ content knowledge and/or some affective constructs. Alternatively, a study might compare the lengths or speeds of only one type of video.
Given the dearth of literature addressing these variables, I am hoping this community can help us uncover some additional research for our literature review. I am happy to compile and share everything that is shared with me over the coming days.
Jenay Robert, Ph.D. Research Project Manager Teaching and Learning with Technology The Pennsylvania State University
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Clossen, A. S. (2018). Trope or Trap? Roleplaying Narratives and Length in Instructional Video. Information Technology & Libraries, 37(1), 27-38.
It is impossible to please everyone all the time—at least that is what survey results suggest. There are several takeaways to this study: Video length matters, especially as a consideration before the video is viewed. Timestamps should be included in video creation, or it is highly likely that the video will not be viewed. The video player is key here, as some video players include video length, while others do not. Videos that exceed four minutes are unlikely to be viewed unless they are required. Voice quality in narration matters. Although preference in type of voice inevitably varies, the actor’s voice is noticed over production value. It is important that the narrator speaks evenly and clearly. For brief how-to videos, there is a small preference for screencast instructional videos over a narrative roleplay scenario. The results of the survey indicate that roleplay videos should be wellproduced, brief, and high quality. However, what constitutes high quality is not very well established.15 Finally, screencast videos should include an example scenario, however brief, to ground the viewer in the task.
Lin, S., Aiken, J. M., Seaton, D. T., Douglas, S. S., Greco, E. F., Thoms, B. D., & Schatz, M. F. (2017). Exploring Physics Students’ Engagement with Online Instructional Videos in an Introductory Mechanics Course. Physical Review Physics Education Research, 13(2), 020138-1.
Kruse, N. B., & Veblen, K. K. (2012). Music teaching and learning online: Considering YouTube instructional videos. Journal Of Music, Technology & Education, 5(1), 77-87. doi:10.1386/jmte.5.1.77_1
Buzzetto-More, N. A. (2014). An Examination of Undergraduate Student’s Perceptions and Predilections of the Use of YouTube in the Teaching and Learning Process. Interdisciplinary Journal Of E-Learning & Learning Objects, 1017-32.
Chekuri, C., & Tiecheng, L. (2007). Extracting content from instructional videos by statistical modelling and classification. Pattern Analysis & Applications, 10(2), 69-81.
My note; too old as data but interesting as methodology
08/09/18