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Christine Phang – Art Therapy: Journal of the American Art Therapy Association, 2025
Personal experiences and cultural factors can shape art therapists' art making preferences and aversions. By reflecting on the Expressive Therapies Continuum (ETC), the author explores the impact of these realizations on her clinical practice with a case example. Implications for practice include the importance of understanding oneself as an…
Descriptors: Art Therapy, Allied Health Personnel, Artists, Preferences
Mary Ann Kluge; Gloria Latimer; Paige Whitney – Dance Education in Practice, 2025
There is great potential for dance studios to offer more tap dancing classes with older participants in mind. The purpose of this article is to share how adult tap classes at our studio are designed to meet older adults' needs and the benefits these classes have from the points of view of 14 dancers between the ages of 48 to 79. To find out how…
Descriptors: Adults, Older Adults, Dance, Preferences
Blair P. Lloyd; Gabrielle E. Crowell; Amber M. Reilly; Marney S. Pollack; Johanna L. Staubitz – Beyond Behavior, 2025
Concurrent operant assessments (COAs) offer a flexible model for evaluating instructional preferences for students with persistent, escape-motivated interfering behavior. In this article, we define the critical features of COAs and review what types of questions they can address for classroom educators. We then identify and describe a series of…
Descriptors: Preferences, Intervention, Behavior Problems, Learner Engagement
Yufeng Wang; Dehua Ma; Jianhua Ma; Qun Jin – IEEE Transactions on Learning Technologies, 2024
As one of the fundamental tasks in the online learning platform, interactive course recommendation (ICR) aims to maximize the long-term learning efficiency of each student, through actively exploring and exploiting the student's feedbacks, and accordingly conducting personalized course recommendation. Recently, deep reinforcement learning (DRL)…
Descriptors: Electronic Learning, Student Interests, Artificial Intelligence, Intelligent Tutoring Systems
Peter Arcidiacono; Karthik Muralidharan; John D. Singleton – National Bureau of Economic Research, 2024
We leverage a unique two-stage experiment that randomized access to private school vouchers across markets as well as students to estimate the revealed preference value of school choice. To do this, we estimate several choice models on data only from control markets before turning to the treatment data for model validation. This exercise reveals…
Descriptors: Private Schools, Educational Vouchers, School Choice, Preferences
Lilly Padía; María Cioè-Peña; Jennifer Phuong – Theory Into Practice, 2024
TrUDL is a pedagogical approach that considers the intersections of "translanguaging" and "Universal Design for Learning" (UDL) to support the needs of students in any classroom, but especially emergent multilinguals labeled as disabled (EMLADs). In this article, we offer tools to help educators ensure their lessons support the…
Descriptors: Access to Education, Code Switching (Language), Translation, Multilingualism
Sy-Miin Chow; Jungmin Lee; Jonathan Park; Prabhani Kuruppumullage Don; Tracey Hammel; Michael N. Hallquist; Eric A. Nord; Zita Oravecz; Heather L. Perry; Lawrence M. Lesser; Dennis K. Pearl – Journal of Statistics and Data Science Education, 2024
Personalized educational interventions have been shown to facilitate successful and inclusive statistics, mathematics, and data science (SMDS) in higher education through timely and targeted reduction of heterogeneous training disparities caused by years of cumulative, structural challenges in contemporary educational systems. However, the burden…
Descriptors: Individualized Instruction, Instructional Design, Science Education, Higher Education
Jaime Willbur; Erin Burns – Journal of Extension, 2024
Understanding how farmers prefer to learn is critical for the development and delivery of successful extension programming. Therefore, Michigan State University Extension specialists conducted an interactive hands-on demonstration workshop (Potato University) addressing pressing issues to Michigan potato production at the Michigan Winter Potato…
Descriptors: Stakeholders, Industry, Extension Education, State Universities
Amanda Schmidt – Blueprint Labs, 2024
In urban areas like New York City, school choice systems intend to break the connection between residential segregation and schooling by allowing students to attend schools outside their neighborhoods. If successful, school choice could benefit historically underserved students. However, recent research suggests that achievement gaps and…
Descriptors: Racial Differences, School Choice, Preferences, Student Diversity
Tom Chiang Jr.; Caitlin Killian – Educational Policy, 2024
Alternative schooling has been staunchly advocated for by groups disillusioned by government-sponsored public schooling that want to take personal control of their children's education. There are concerns, however, about nontraditional schooling options that do not meet standards that apply to public schools. The "United Nations Convention on…
Descriptors: Childrens Rights, Access to Information, Student Rights, Parent Attitudes
Dong-Qiang Lin; Yu-Cheng Chen; Xin-Yu Chen; Shan-Jing Yao – Journal of Chemical Education, 2024
While process simulation tools offer immense potential in chemical engineering, effectively integrating them into the educational curriculum poses challenges. This work explored and practiced online-offline blended teaching in process simulation courses. The design of this blended course was based on a comparison of students' performances in fully…
Descriptors: Blended Learning, Simulation, Courses, Teaching Methods
Stephen G. Sireci; Javier Suárez-Álvarez; April L. Zenisky; Maria Elena Oliveri – Educational Measurement: Issues and Practice, 2024
The goal in personalized assessment is to best fit the needs of each individual test taker, given the assessment purposes. Design-in-Real-Time (DIRTy) assessment reflects the progressive evolution in testing from a single test, to an adaptive test, to an adaptive assessment "system." In this article, we lay the foundation for DIRTy…
Descriptors: Educational Assessment, Student Needs, Test Format, Test Construction