オープン アクセスを義務付けられた論文 - Autar Kaw詳細
一般には非公開: 1 件
Benefits of adaptive lessons for pre-class preparation in a flipped numerical methods course
RM Clark, AK Kaw
International Journal of Mathematical Education in Science and Technology 51 …, 2020
委任: US National Science Foundation
一般公開: 18 件
Comparing the effectiveness of blended, semi-flipped, and flipped formats in an engineering numerical methods course.
RM Clark, A Kaw, M Besterfield-Sacre
Advances in Engineering Education 5 (3), n3, 2016
委任: US National Science Foundation
Adaptive learning: Helpful to the flipped classroom in the online environment of COVID?
RM Clark, AK Kaw, R Braga Gomes
Computer Applications in Engineering Education 30 (2), 517-531, 2022
委任: US National Science Foundation
Evaluating Blended and Flipped Instruction in Numerical Methods at Multiple Engineering Schools
R Clark, A Kaw, Y Lou, A Scott, M and Besterfield-Sacre
International Journal for the Scholarship of Teaching and Learning 12 (1), 2018
委任: US National Science Foundation
Adaptive learning in a numerical methods course for engineers: Evaluation in blended and flipped classrooms
RM Clark, A Kaw
Computer Applications in Engineering Education 28 (1), 62-79, 2020
委任: US National Science Foundation
Analyzing the use of adaptive learning in a flipped classroom for preclass learning
A Kaw, R Clark, E Delgado, N Abate
Computer Applications in Engineering Education 27 (3), 663-678, 2019
委任: US National Science Foundation
Guest editorial: flipped classrooms in STEM
LA Barba, A Kaw, JM Le Doux
Advances in Engineering Education 5 (3), 1-6, 2016
委任: US National Science Foundation
Building a Concept Inventory for Numerical Methods: A Chronology
A Kaw, Y Lou, A Scott, R Miller
ASEE Annual Conference and Exposition, 2016
委任: US National Science Foundation
On learning platform metrics as markers for student success in a course
A Yalcin, A Kaw, R Clark
Computer Applications in Engineering Education 31 (5), 1412-1432, 2023
委任: US National Science Foundation
On Moving a Face-to-Face Flipped Classroom to a Remote Setting.
A Kaw
2021 ASEE Virtual Annual Conference Content Access, 2021
委任: US National Science Foundation
Metacognition instruction and repeated reflection in a fluid mechanics course: Reflective themes and student outcomes
RM Clark, A Kaw, R Guldiken
International Journal of Mechanical Engineering Education 51 (4), 243-269, 2023
委任: US National Science Foundation
Development, implementation, refining and revising of adaptive platform lessons for an engineering course
A Kaw
Proceedings of the 2022 ASEE Annual Conference and Exposition, 2022
委任: US National Science Foundation
Do Metacognitive Instruction and Repeated Reflection Improve Outcomes?
RM Clark, A Kaw, R Guldiken
ASEE Annual Conference, 2022
委任: US National Science Foundation
Enhancing student outcomes in a blended numerical methods course for engineers: The case for practice and cumulative tests
RM Clark, KAW Autar
International Journal of Engineering Education 37 (3), 585-93, 2021
委任: US National Science Foundation
Board 80: integrating adaptive learning lessons in a flipped STEM course: development, learning gains, and data analytics
A Kaw, RM Clark, EE Delgado, N Abate
2019 ASEE Annual Conference & Exposition, 2019
委任: US National Science Foundation
Board 69: Do Adaptive Lessons for Pre-class Experience Improve Flipped Learning?
RM Clark, A Kaw, EE Delgado
2018 ASEE Annual Conference & Exposition, 2018
委任: US National Science Foundation
Effects of Standards-Based Testing via Multiple-Chance Testing on Cognitive and Affective Outcomes in an Engineering Course
A Kaw, R Clark
INTERNATIONAL JOURNAL OF ENGINEERING EDUCATION 40 (2), 303-321, 2024
委任: US National Science Foundation
Board 422: Using Adaptive Learning Platform Metrics for Early Identification and Personalized Support of Low-Performing Students
A Kaw, A Yalcin, RM Clark
2023 ASEE Annual Conference & Exposition, 2023
委任: US National Science Foundation
Evolution of a Flipped Classroom: From Prototype to Personalized Learning
A Kaw, RM Clark
ASEE Southeast Section Conference, 2023
委任: US National Science Foundation
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