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Taub, Michelle; Azevedo, Roger – New Directions for Teaching and Learning, 2023
The goal of this chapter is to propose a cyclical process of how teachers can use multimodal multichannel data of cognitive, affective, metacognitive, motivational, and social processes to assist with the understanding of their own and their students' self-regulated learning (SRL), and their subsequent instructional decision making. What…
Descriptors: Independent Study, Learning Processes, Instructional Design, Decision Making
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Chanicka, Jeewan; Logan, Camille – Intercultural Education, 2021
Inclusive Design is an approach to equitable and inclusive education, designed to support school administrators and educators to engage in focused conversations that include and honour the identities of students. "WHO" the students are in classrooms with is at the centre of this approach; Inclusive Design allows and encourages the…
Descriptors: Best Practices, Inclusion, Foreign Countries, Instructional Design
Ednah Nwafor; Olivia Kelly; Ally Skoog-Hoffman; Faye Kroshinsky – Collaborative for Academic, Social, and Emotional Learning, 2023
This brief shares learnings from Building Equitable Learning Environments (BELE) district partnerships around the sixth Essential Action: Measure What Matters. This Essential Action focuses on achieving equitable learning environments through the routine collection and review of relevant student feedback data to co-design new practices and…
Descriptors: Middle School Students, High School Students, Student Experience, Student Attitudes
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Rosé, Carolyn P.; McLaughlin, Elizabeth A.; Liu, Ran; Koedinger, Kenneth R. – British Journal of Educational Technology, 2019
Using data to understand learning and improve education has great promise. However, the promise will not be achieved simply by AI and Machine Learning researchers developing innovative models that more accurately predict labeled data. As AI advances, modeling techniques and the models they produce are getting increasingly complex, often involving…
Descriptors: Discovery Learning, Man Machine Systems, Artificial Intelligence, Models
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Groth, Randall E.; Bergner, Jennifer A.; Austin, Jathan W.; Burgess, Claudia R.; Holdai, Veera – Mathematics Teacher Educator, 2020
Undergraduate research is increasingly prevalent in many fields of study, but it is not yet widespread in mathematics education. We argue that expanding undergraduate research opportunities in mathematics education would be beneficial to the field. Such opportunities can be impactful as either extracurricular or course-embedded experiences. To…
Descriptors: Student Research, Undergraduate Students, Mathematics Education, Data Use