• Page 17: Top 5 most important factors for creating an effective teaching and learning ecosystem: Having a strong leadership and vision (45%) is the #1 (next highest is 15%)
• Page 20: *83% of higher education respondents said that it was important for institutions to provide studens with skills-based learning alongside their academic education. *
• Page 26: Participants identified several challenges in fostering a a culture of lifelong learning for professionals, including: 89% Clear learning objectives
• Page 7: Real-world experiential and work-based learning are no longer fringe; 4 in 5 see these as essential.

Learning and Intellectualism can both be found in the act of comparison, or more broadly, analysis. One must do this perpetually when reading to dissect and gain most (long-term) (syntopical) value out of it.

This might catch the attention of HE people paying attention. It also hopefully connects to the participants who shared that they are not getting the information about the programs that they desire. If the data being consumed (by this vendor or others) is still rooted in describing the content of the learning and not the measurable, assessed outcomes, then it's utility is limited and, crucially, it could create trust issues that make consumer wary of all the data. On the other hand, if they can trust the high quality data, there will be a window of competitive advantage for HE institutions that choose to share the data that the consumers (largely employers) want to see.

Perhaps both learning and research can often be used in the same process... Learning first to inform what is the most vital to include in the Zettelkasten for research synthesis.

Maybe what to use when, in my personal case, should not be objective but rather subjective based on what I like and prefer? This requires further thought. Complex matter.

Research: Theorization, Synthesis, etc.

Learning: Acquisition and Retention of Knowledge or Application of Skill

Both: When there is need of both and/or when research techniques don't give the necessary mastery quick enough for the material; too dense (i.e., neuroscience book)

Unrelated to the song itself. It is interesting that different people interpret the song's meaning differently. Likely due to individual differences in perspective, history, culture, etc.

Makes me reflect. Is knowledge/wisdom contained solely in content and words? Or is knowledge/wisdom rather contained in the RELATIONSHIP, the INTERACTION, between past experience, previous knowledge (identity) and substance?

Currently I am inclined to go for the latter.

This is a valid criticism (sorry Elon Musk)... By helping the other individual you in the end help society and therefore yourself.

We should be focusing on present problems that are closer to us before moving on to more abstract problems that have less value at present.

The same goes for ourselves. Try not to fix your family or neighborhood before you have fixed yourself (keep in mind diminishing returns). As Dan Koe said: "Your purpose is solving the most pressing problem you have right now." (not verbatim).

Try not to learn how to learn before your sleep schedule is excellent, before you know how to be productive and have habits.

Learning enablers first, THEN learning.

Fix first yourself, then your household, then the city, then the country, then the continent, etc. This does not have to be taken literally, but use it as a wise guidance. It's a principle rather than a law.

I have not yet encountered this myself. Honestly, vagueness to me would mean that I do not understand the subject enough and so I need to take a step back and reassess my knowledge.

All vagueness can be overcome by expertise.

How can one expect to teach when one does not understand how learning works on a deep level? This is a fatal flaw within the current education system. In High School you are expected to know how to learn without it ever being taught, and teachers cannot help for they too do not know how to learn...

They come with severely outdated methods (i.e., summarization, rereading, or flashcards), or even disproved principles like Learning Styles.

Align Learning Outcomes to Credits (key for meaningful unbundling/bundling)

Purpose of Learning Outcomes

Sometimes, search is not rooted in discovery of a correct answer to a question. It's about exploration. Serendipity through search. Think Michael Lewis, Malcolm Gladwell, and Latif Nasser from Radiolab. The randomizer on wikipedia. A risk factor of where things trend with advanced AI in search is an abandonment of meaning making through exploration in favor of a knowledge-level pursuit that lacks comparable depth to more exploratory experiences.

For the intellectual worker, an Antinet can be used to keep track of such questions and the thought-lines corresponding to these questions.

As a teacher of English to secondary school students, and as an online doctoral student, I am excited to explore and possibly integrate Hypothesis into my work. I love research and everything involved with it. Thank you to the creators of this tool --

The power of an Antinet Zettelkasten. Use this principle both in research and learning.

Where does the learning portion of education morph into research? Where is the dividing line?

I think this is was Thomas Frank was referring to in his YT video when he said "direct hands-on experience ... is often not the best way to learn something. And more recent cognitive research has confirmed this and shown that for basic concepts a more abstract learning model is actually better."

By "more abstract", I guess he meant what this paper calls "non-interactive". However, even though Frank claims this (which is suggested by the percentile increases shown in Quadrants I & II), no variance is given and the authors even state that, in the case of Q II (looking at percentile increase of interactive multimodal learning compared to interactive unimodal learning), the authors state that "results are not quite as high [as the non-interactive comparison], with average gains at 9 percentiles. While not statistically significant, these results are still positive." (emphasis mine)

Common level of signifcances are \(\alpha =.20,~.10,~.05,~.01\)

Brown, Peter C., Henry L. Roediger III, and Mark A. McDaniel. Make It Stick: The Science of Successful Learning. Belknap Press, 2014. https://www.hup.harvard.edu/catalog.php?isbn=9780674729018

Seaman, K. L., Christensen, A. P., Senn, K., Cooper, J., & Cassidy, B. S. (2022). Age Differences in the Social Associative Learning of Trust Information. PsyArXiv. https://doi.org/10.31234/osf.io/b38rd

Is the sample size of learning experiments really large enough to account for the differences in potential neurodiversity?

How well do these do for simple lectures which don't add mnemonic design of some sort? How to peel back the subtle differences in presentation, dynamism, design of material, in contrast to neurodiversities?

What are the list of known differences? How well have they been studied across presenters and modalities?

What about methods which require active modality shifts versus the simple watch and regurgitate model mentioned in watching videos. Do people do actively better if they're forced to take notes that cause modality shifts and sensemaking?

Discussion on

Bellinger C, Drozdyuk A, Crowley M, Tamblyn I. Balancing Information with Observation Costs in Deep Reinforcement Learning. Proceedings of the Canadian Conference on Artificial Intelligence [Internet]. 2022 May 27; Available from: https://caiac.pubpub.org/pub/0jmy7gpd

Social interactions with other students is undoubtedly a good thing. Online learning has its place as well.

ReconfigBehSci on Twitter: ‘Now #scibeh2020: Pat Healey from QMU, Univ. Of London speaking about (online) interaction and miscommunication in our session on “Managing Online Research Discourse” https://t.co/Gsr66BRGcJ’ / Twitter. (n.d.). Retrieved 6 March 2021, from https://twitter.com/SciBeh/status/1326155809437446144

Students may potentially built up enough context within a particular course to be able to luckily stumble upon an interesting question or idea about which to write, but the procrastination and wait times required to get lucky means that they don't have enough time to research and read additional material to move towards ultimate solutions. As a result, their work product is boring and dull and doesn't advance the space in which they're working. And these are the lucky ones which will stumble upon something interesting or be able to remember it. The results of the rest will be even less interesting.

Racine, N., Madigan, S., Cardinal, S., Hartwick, C., Leslie, M., Motz, M., & Pepler, D. (2021). Community-Based Research: Perspectives of Psychology Researchers and Community Partners. PsyArXiv. https://doi.org/10.31234/osf.io/cxrmt

Portfolio, B. and S. S. at N. (2021, November 3). No evidence school closures reduce the spread of COVID-19. Behavioural and Social Sciences at Nature Portfolio. http://socialsciences.nature.com/posts/no-evidence-school-closures-reduce-the-spread-of-covid-19

Hammerstein, S., König, C., Dreisoerner, T., & Frey, A. (2021). Effects of COVID-19-Related School Closures on Student Achievement—A Systematic Review [Preprint]. PsyArXiv. https://doi.org/10.31234/osf.io/mcnvk

The COVID-19 crisis mustn’t be used to rationalize hasty education reforms. (2020, May 19). BOLD. https://bold.expert/the-covid-19-crisis-mustnt-be-used-to-rationalize-hasty-education-reforms/

Social and Economic Impacts of COVID: Education—YouTube. (n.d.). Retrieved April 15, 2021, from https://www.youtube.com/watch?v=9kLghwyYVrY

Nsoesie, E. O., Oladeji, O., Abah, A. S. A., & Ndeffo-Mbah, M. L. (2021). Forecasting influenza-like illness trends in Cameroon using Google Search Data. Scientific Reports, 11(1), 6713. https://doi.org/10.1038/s41598-021-85987-9

Machine learning models for diagnosing COVID-19 are not yet suitable for clinical use. (2021, March 15). University of Cambridge. https://www.cam.ac.uk/research/news/machine-learning-models-for-diagnosing-covid-19-are-not-yet-suitable-for-clinical-use

Kozlowski, Diego, Jennifer Dusdal, Jun Pang, and Andreas Zilian. ‘Semantic and Relational Spaces in Science of Science: Deep Learning Models for Article Vectorisation’. ArXiv:2011.02887 [Physics], 5 November 2020. http://arxiv.org/abs/2011.02887.

Szabelska, A., Pollet, T. V., Dujols, O., Klein, R. A., & IJzerman, H. (2021). A Tutorial for Exploratory Research: An Eight-Step Approach. PsyArXiv. https://doi.org/10.31234/osf.io/cy9mz

How to derive with the best research

Research skills involve complex, higher order tasks, and they take long-term efforts to learn well. Adult students are better able to do research than younger students do. They need to learn how to understand the different sources available, formulate good questions, learn more advanced database searching skills, and hone their critical thinking skills. Instead of assigning a research paper, instructors should assign each step of the paper so that they can help students properly master the whole process. 8/10

This article details the methods and results of a research experiment done to determine whether/ how physiological measurement technologies can be used with educational research methods to investigate subjective learning experiences. Describes research methods and data collected. 8/10, very interesting article and a very interesting and well done study but very specific to this one topic. e

Nunes, L., & Writer, A. S. (2020). Working Around the Distance. APS Observer, 33(7). https://www.psychologicalscience.org/observer/covid-19-remote-learning-teaching-research

Division 15 Sponsored Webinar: Dr. Daniel Willingham on “Truthiness” in Educational Psychology. (2020, May 20). https://www.youtube.com/watch?v=XQTHp2vdSSk&feature=youtu.be

Minocher, R., Atmaca, S., Bavero, C., McElreath, R., & Beheim, B. (2020, June 24). Reproducibility of social learning research declines exponentially over 63 years of publication. https://doi.org/10.31234/osf.io/4nzc7

Callaway, E. (2020). The race for coronavirus vaccines: A graphical guide. Nature, 580(7805), 576–577. https://doi.org/10.1038/d41586-020-01221-y

Antov, M.I., Plog, E., Bierwirth, P. et al. Visuocortical tuning to a threat-related feature persists after extinction and consolidation of conditioned fear. Sci Rep 10, 3926 (2020). https://doi.org/10.1038/s41598-020-60597-z

This textbook, published by the Oklahoma State University Library ePress, contains a chapter which summarizes the main views of knowledge in educational technology research, including postpositivism, constructivism, advocacy, and pragmatism, as well as each view's research traditions. The chapter suggests an approach to evaluating research articles through the lenses of a consistent learning theory coupled, methodologies that support that learning theory, and the conclusions that are drawn by the researchers supported through their methodologies. This chapter would help educators evaluate how and why they might include technology into their course curriculum. Rating: 7/10

In the scientific papers we convey novelty, hence, some of the early readers might confuse themselves that this is the right way to speak in a daily scientific community

Why teaching others/blogging has a great value in terms of learning new topics

While learning, don't worry about the creativity, which shall come after gaining proficiency (knowledge base)

I think we all know that...

This article is a great example of a research model in measuring outcomes of adult learning.

What's possible with personalized learning: an overview of personalized learning for schools, families, and communities. This 32 page PDF is included in part due to its credibility and also to its breadth. The focus is personalized learning in schools. All ages are considered and there is a discussion of 'what personalized learning means for teachers.' It is sufficiently readable and rather attractively presented for a report. rating 5/5

A national landscape scan of personalized learning in K-12 education in the United States This is included because it is associated with the Bill and Melinda Gates foundation, among other indicators of credibility, and because it provides (as the title suggests) a portrait of the state of personalized learning in schools, addressing topics that are not addressed by other resources in this list. rating 5/5

This online journal article is a reflective piece about mobile learning for teachers. It appears to be connected to the work of Argyris and Schon (reflection in action) and it appears that they argue that adoption of mobile learning for teachers is not occurring at a fast pace. While disappointing, the article appears useful. rating 5/5

This is a research based report (of which I have found few) that connects professional development and personalized learning. I had hoped to find links that applied to health care and have not found a great many so far, but this article, which is more oriented toward professional development for teachers, still has applications since public health education professionals participate in many of the same practices. rating; 5/5

This was an excellent article Chen (2007) in defining and laying out how a blended learning approach of objectivist and constructivist instructional strategies work well in online instruction and the use of an actual online course as a study example.

RATING: 4/5 (rating based upon a score system 1 to 5, 1= lowest 5=highest in terms of content, veracity, easiness of use etc.)

"did worse" in what? The chart refers to participation.

A Survey of Presidents

growth in online learning continues

Online vs. F2F costs

Really cool venue for publishing online, interactive articles for ML

learning

Ha! The Chronicle’s summary framed these categories somewhat differently. Interesting. To me, the “application” part is really about student retention. But maybe that’s a bit of a cynical reading, based on an over-emphasis in the Learning Analytics sphere towards teleological, linear, and insular models of learning. Then, the “representation” part sounds closer to UDL than to learner-driven microcredentials. Both approaches are really interesting and chances are that the report brings them together. Finally, the Chronicle made it sound as though the research implied here were less directed. The mention that it has “the potential to influence institutional practices and interventions” may be strategic, as applied research meant to influence “decision-makers” is more likely to sway them than the type of exploratory research we so badly need.

Useful breakdown. Research, predictive models, and recognition are quite distinct from one another and the approaches to data that they imply are quite different. In a way, the “personalized learning” model at the core of the second topic is close to the Big Data attitude (collect all the things and sense will come through eventually) with corresponding ethical problems. Through projects vary greatly, research has a much more solid base in both ethics and epistemology than the kind of Big Data approach used by technocentric outlets. The part about recognition, though, opens the most interesting door. Microcredentials and badges are a part of a broader picture. The data shared in those cases need not be so comprehensive and learners have a lot of agency in the matter. In fact, when then-Ashoka Charles Tsai interviewed Mozilla executive director Mark Surman about badges, the message was quite clear: badges are a way to rethink education as a learner-driven “create your own path” adventure. The contrast between the three models reveals a lot. From the abstract world of research, to the top-down models of Minority Report-style predictive educating, all the way to a form of heutagogy. Lots to chew on.