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Ji Won You – Studies in Higher Education, 2024
Team project-based learning has become increasingly common in higher education. This study aimed to characterise and understand students' team learning experiences in team project-based learning by considering various aspects, such as individual qualities, teamwork, task, and instructor support. K-means clustering analysis was performed using…
Descriptors: Cooperative Learning, Profiles, Outcomes of Education, Student Projects
Scheidt, Matthew; Godwin, Allison; Berger, Edward; Chen, John; Self, Brian P.; Widmann, James M.; Gates, Ann Q. – Journal of Engineering Education, 2021
Background: Noncognitive and affective (NCA) factors (e.g., belonging, engineering identity, motivation, mindset, personality, etc.) are important to undergraduate student success. However, few studies have considered how these factors coexist and act in concert. Purpose/Hypothesis: We hypothesize that students cluster into several distinct…
Descriptors: Engineering Education, Undergraduate Students, Student Characteristics, Differences
Hall, Matthew L.; De Anda, Stephanie – Journal of Speech, Language, and Hearing Research, 2021
Purpose: The purposes of this study were (a) to introduce "language access profiles" as a viable alternative construct to "communication mode" for describing experience with language input during early childhood for deaf and hard-of-hearing (DHH) children; (b) to describe the development of a new tool for measuring DHH…
Descriptors: Deafness, Hearing Impairments, Children, Profiles
Talebinamvar, Mobina; Zarrabi, Forooq – Language Testing in Asia, 2022
Feedback is an essential component of learning environments. However, providing feedback in populated classes can be challenging for teachers. On the one hand, it is unlikely that a single kind of feedback works for all students considering the heterogeneous nature of their needs. On the other hand, delivering personalized feedback is infeasible…
Descriptors: Feedback (Response), Writing Evaluation, Writing (Composition), Learning Analytics