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Carnegie Learning Report: The State of AI in Education 2025
Carnegie Learning Report: The State of AI in Education 2025
In case you missed it, Carnegie Learning published a great little report, "The State of AI in Education 2025" which is essentially key findings from a national survey they conducted on hundreds of educators. Not too surprisingly, the #1 potential benefit of students using AI was the newest answer choice added to this year’s survey:…
AIAI#AI#Carnegie Learning#artificial intelligence#edtech#education#students#teaching and learning#teaching#technology#learning#2025
·edtechdigest.com·
Carnegie Learning Report: The State of AI in Education 2025
How Scientific Is Cognitive Load Theory Research Compared to the Rest of Educational Psychology?
How Scientific Is Cognitive Load Theory Research Compared to the Rest of Educational Psychology?
Cognitive load theory (CLT) has driven numerous empirical studies for over 30 years and is a major theme in many of the most cited articles published between 1988 and 2023. However, CLT articles have not been compared to other educational psychology research in terms of the research designs used and the extent to which recommendations for practice are justified. As Brady and colleagues found, a large percentage of the educational psychology articles reviewed were not experimental and yet frequently made specific recommendations from observational/correlational data. Therefore, in this review, CLT articles were examined with regard to the types of research methodology employed and whether recommendations for practice were justified. Across several educational psychology journals in 2020 and 2023, 16 articles were determined to directly test CLT. In contrast to other articles, which employed mostly observational methods, all but two of the CLT articles employed experimental or intervention designs. For the two CLT articles that were observational, recommendations for practice were not made. Reasons for the importance of experimental work are discussed.
#research digest#systematic review#learning#teaching#teaching and learning#education#higher education#students#educational psychology#cognitive load theory
·mdpi.com·
How Scientific Is Cognitive Load Theory Research Compared to the Rest of Educational Psychology?
Critical Thinking in the Age of AI
Critical Thinking in the Age of AI

Throughout human history, we have relied on technology to make our work easier. In this episode, Michelle Miller joins us to discuss how to foster students’ critical thinking skills in the age of AI.

Michelle is a Professor of Psychological Sciences and President’s Distinguished Teaching Fellow at Northern Arizona University. She is the author of Minds Online: Teaching Effectively with Technology, Remembering and Forgetting in the Age of Technology: Teaching, Learning, and the Science of Memory in a Wired World and A Teacher’s Guide to Learning Students’ Names: Why You Should, Why It’s Hard, How You Can. Michelle is also a frequent contributor of articles on teaching and learning in higher education to a variety of publications including The Chronicle of Higher Ed.

A transcript of this episode and show notes may be found at http://teaforteaching.com.

Throughout human history, we have relied on technology to make our work easier. In this episode, Michelle Miller joins us to discuss how to foster students’ critical thinking skills in the age of AI. Michelle is a Professor of Psychological Sciences and President’s Distinguished Teaching Fellow at Northern Arizona University.  She is the author of Minds Online: Teaching Effectively with Technology, Remembering and Forgetting in the Age of Technology: Teaching, Learning, and the Science of Memory in a Wired World and A Teacher’s Guide to Learning Students’ Names: Why You Should, Why It’s Hard, How You Can. Michelle is also a frequent contributor of articles on teaching and learning in higher education to a variety of publications including The Chronicle of Higher Ed. A transcript of this episode and show notes may be found at http://teaforteaching.com.
AIAI#higher education#pedagogy#podcast#teaching#teaching and learning#AI#education#technology#students
·podbean.com·
Critical Thinking in the Age of AI
1994 cupm maa quantitative reasoning for college graduates
1994 cupm maa quantitative reasoning for college graduates

Quantitative Reasoning for College Graduates: A Complement to the Standards

Mathematical Association of America

pp 9 of 36

In short, every college graduate should be able to apply simple mathematical methods to the solution of real-world problems. A quantitatively literate college graduate should be able to:

  1. Interpret mathematical models such as formulas, graphs, tables, and schematics, and draw inferences from them.
  2. Represent mathematical information symbolically, visually, numerically, and verbally.
  3. Use arithmetical, algebraic, geometric and statistical methods to solve problems.
  4. Estimate and check answers to mathematical problems in order to determine reasonableness, identify alternatives, and select optimal results.
  5. Recognize that mathematical and statistical methods have limits.
#assessment#higher education#pedagogy#students#teaching#teaching and learning#education#math#mathematics#learning#quantitative literacy#maa#Mathematical Association of America
·statlit.org·
1994 cupm maa quantitative reasoning for college graduates
Course Workload Estimator
Course Workload Estimator
Established in 2012, the Center for Teaching Excellence at Rice University seeks to transform teaching through mentoring, innovative practices, collaboration, scholarship, and advocacy. The CTE actively engages faculty, staff, students, and community partners, and brings them into conversation to achieve excellence in teaching and learning. We seek to enhance and promote the strong teaching culture at Rice, which is a core value of our institution.
#teaching#education#faculty development#course evaluation#teaching and learning#students
·cte.rice.edu·
Course Workload Estimator