Posts Tagged ‘pedagogy’

Ancient Greek pedagogues


Artwork for GMoL S2E12 Greeks with Donald Clark
GREAT MINDS ON LEARNINGGMoL S2E12 Greeks with Donald Clark
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https://greatmindsonlearning.libsyn.com/

At the very origin of our ideas of about learning, as well so much else that defines our culture, lies the extraordinary flowering of thought and discovery centred on Athens from the fifth to the second century BC. This episode takes us back to the very earliest group of thinkers this series will cover, the ancient Greeks.
  • 1:02 – Introducing the Greeks
  • 11:36 – Socrates  (c. 470–399 BC)
  • 23:34 -Plato (428/427 or 424/423 – 348/347 BC)
  • 34:06 – Aristotle (384–322 BC)
  • 47:25 – Pythagoras (c. 570 – c. 495 BC)
  • 53:57 – Euclid (c. 325 – c. 270 BC)
  • 57:46 – Archimedes (c. 287 – c. 212 BC)
  • 1:05:41 – Summing Up
  • Socrates bit.ly/2FQz0hH
  • Plato bit.ly/386Cd96
  • Aristotle bit.ly/2tdGUzi
  • Pythagoras, Euclid, Archimedes bit.ly/38hEL46

personalized learning and achievement gap

https://www.edsurge.com/news/2022-03-28-can-personalized-learning-be-scaled-to-ease-teacher-burdens-and-close-achievement-gaps

McGraw Hill Plus, a new tool, Focusing first on math and then expanding to ELA and science, its objective is to make personalized learning scalable.

Smith: The modern classroom sits at the intersection of blended learning, competency-based learning and personalized learning.

reimagine instructional time and use technology to scale personalized learning.

First, pulling data into one place is the key fundamental driver that will change the teacher workflow. Second, we need to manipulate that data into some advanced data visualization tools, so it’s easy for teachers to understand and use. Third, we need to be able to visualize student performance and take action on it.
Using these data analytics, we can drive personalized learning based on student performance. And the last thing is the automation of teacher workflow.

eachers get data visualization from different sources, such as an adaptive software solution like our ALEKS program, our Redbird Mathematics, or our recently acquired Achieve3000 Literacy.

Reconstructive Analysis

Carspecken’s (1996; 2007) reconstructive analysis procedures was performed. This analysis involves identifying meaning fields, validity horizons, sequence analysis, and role analysis.

https://en.wikipedia.org/wiki/Phil_Carspecken

Toombs, A., Gray, C., & McKay, C. (2016). Meaning Reconstruction as an Approach to Analyze Critical Dimensions of HCI Research. Critical Theory and Pedagogy, 328–340.

Instructional Strategies for Forming Online Collaborative Teams

Thus in online environments, the course design should explicitly include ice breakers, “getting-to-know-you” activities, and warm ups to initiate the kind of meaningful encounters that lead to more engaged and productive relationships (McDonald, Zydney, Dichter, & McDonald, 2012; Settle-Murphy, 2013).

rather than ask only whether particular instructional group strategies do or don’t work, it is important to look beyond the strategies to understanding what is happening among students or individually that influences students’ experiences in a class. Significant attention should be paid to situations in which a planned strategy does not work and additional strategies should be considered to promote a more collaborative setting.

strategies modern pedagogy

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http://myweb.fsu.edu/vshute/pdf/Stealth_Assessment.pdf

https://www.chronicle.com/article/A-Stealth-Assessment-Turns/125276

Colleges no longer simply want to know what their students know, but how they think.

Higher-order thinking skills are “something that schools are paying a little bit more attention to these days,”

educators also say that paper-and-pencil examinations have limits—for one thing, knowing that you are being tested can drag down performance—and they are looking for new methods to measure skills like critical thinking, creativity, and persistence.

global education teaching learning conference

International Academic Conference on Global Education, Teaching and Learning in Vienna, Austria 2017 (IAC-GETL in Vienna 2017)

https://www.conferences-scientific.cz/inpage/conference-vienna-iacgetl-2017/

Conference Program Dates

Friday – Saturday, November 24 – 25, 2017

Venue Hotel – Fourside Hotel City Center Vienna
Grieshofgasse 11, A – 1120 Wien / Vienna, AUSTRIA

About the Conference

International Academic Conference in Vienna 2017 is an important international gathering of scholars, educators and PhD students. IAC-GETL 2017 in Vienna will take place in conference facilities located in Vienna, the touristic, business and historic center of Austria.

Conference language: English language

Conferences organized by the Czech Institute of Academic Education z.s. and Czech Technical University in Prague.

Conference Topics

Conference Topics – Education, Teaching, Learning and E-learning

Education, Teaching and Learning

Distance Education, Higher Education, Effective Teaching Pedagogies, Learning Styles and Learning Outcomes, Emerging Technologies, Educational Management, Engineering and Sciences Research, Competitive Skills, Continuing Education, Transferring Disciplines, Imaginative Education, Language Education, Geographical Education, Health Education, Home Education, Science Education, Secondary Education, Second life Educators, Social Studies Education, Special Education, Learning / Teaching Methodologies and Assessment, Assessment Software Tools, Global Issues In Education and Research, Education, Research and Globalization, Barriers to Learning (ethnicity, age, psychosocial factors, …), Women and Minorities in Science and Technology, Indigenous and Diversity Issues, Intellectual Property Rights and Plagiarism, Pedagogy, Teacher Education, Cross-disciplinary areas of Education, Educational Psychology, Education practice trends and issues, Indigenous Education, Academic Research Projects, Research on Technology in Education, Research Centres, Links between Education and Research, Erasmus and Exchange experiences in universities, Students and Teaching staff Exchange programmes

E-learning

Educational Technology, Educational Games and Software, ICT Education, E-Learning, Internet technologies, Accessibility to Disabled Users, Animation, 3D, and Web 3D Applications, Mobile Applications and Learning (M-learning), Virtual Learning Environments, Videos for Learning and Educational Multimedia, Web 2.0, Social Networking and Blogs, Wireless Applications, New Trends And Experiences, Other Areas of Education

Constructivism: Lecture and project-based learning

The blog entry title initially was:

Constructivism: Lecture versus project-based learning

Actually, the article is about both lecture and group work finding a niche in the complex process of teaching and learning.

Excellent points, ideas and discussion in and under a recently published article:

Anyone Still Listening? Educators Consider Killing the Lecture

http://blogs.kqed.org/mindshift/2013/07/anyone-still-listening-educators-consider-killing-the-lecture/

“Professors do not engage students enough, if at all, when trying to innovate the classroom. It’s shocking how out of touch they can be, just because they didn’t take the time to hear their students’ perspectives.”

The article and the excellent comments underneath the article do not address the possibility of cultural differences. E.g., when article cites the German research, it fails to acknowledge that the US culture is pronouncedly individualistic, whereas other societies are more collective. For more information pls consider:
Ernst, C. T. (2004). Richard E. Nisbett. The Geography of Thought: How Asians and Westerners Think Differently … and Why. Personnel Psychology, (2), 504.
Nisbett, R. E. (2009). Intelligence and how to get it : why schools and cultures count / Richard E. Nisbett. New York : W.W. Norton & Co., c2009.
The article generalizes, since another omission is the subject-oriented character of the learning process: there are subjects, where lecture might be more prevalent and there are some where project learning, peer instruction and project-based learning might be more applicable.