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Salehudin, Imam; Alpert, Frank – Education & Training, 2022
Purpose: This study analyzed segment differences of student preference for video use in lecture classes and university use of video lecture classes. The authors then conducted novel gap analyses to identify gaps between student segments' preferences for videos versus their level of exposure to in-class videos. Multivariate analysis of variance…
Descriptors: Preferences, Video Technology, Class Activities, College Students
Clariana, Roy B.; Tang, Hengtao; Chen, Xuqian – Educational Technology Research and Development, 2022
This experimental investigation seeks to corroborate a knowledge structure sorting task approach as a measure to more fully account for prior knowledge when reading. A latent semantic analysis (LSA) network derived from thousands of texts typically read by first year college students was used to create a prototypical referent network model of the…
Descriptors: Identification, Cognitive Structures, College Freshmen, Bilingual Students
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
Virginia Clinton-Lisell; Sarah E. Carlson; Heather Ness-Maddox; Amanda Dahl; Terrill Taylor; Mark L. Davison; Ben Seipel – Grantee Submission, 2024
The purpose of this study was to examine clusters of less-skilled college readers. College students with below average reading comprehension skills (N = 77) read and thought aloud about four texts, recalled the texts, and completed standardized assessments of reading skills. Based on the findings of cluster analyses of the cognitive processes…
Descriptors: Vocabulary, Reading Comprehension, Reading Tests, Reading Skills
Ting Ding; Mengqi Zhang – International Journal of Web-Based Learning and Teaching Technologies, 2024
The level of information technology is increasing, and technology is developed. University English teaching has also changed under its influence. Different from the traditional teaching in the past, more and more students adopt the mode of "Internet + Smartphone" to learn English. This paper proposes a teaching mode evaluation method in…
Descriptors: English for Special Purposes, Educational Change, Business Administration Education, Data
Alsaad, Fareedah; Alawini, Abdussalam – International Educational Data Mining Society, 2020
With the increased number of MOOC offerings, it is unclear how these courses are related. Previous work has focused on capturing the prerequisite relationships between courses, lectures, and concepts. However, it is also essential to model the content structure of MOOC courses. Constructing a precedence graph that models the similarities and…
Descriptors: Online Courses, Graphs, Course Content, Cluster Grouping
Miguel Eduardo Uribe-Moreno; Iván Felipe Medina-Arboleda; Alfredo Guzmán-Rincón; Suelen Emilia Castiblanco-Moreno – International Journal of Educational Psychology, 2024
Grit, the passion for achieving long-term goals, has been conceived as a two-dimensional construct (Consistency of interest and Perseverance of effort). The construct is well known for its easy measurement and its relationship with performance, including academic performance. However, there have been different criticisms, such as the overlap of…
Descriptors: Academic Achievement, Psychometrics, Measures (Individuals), Resilience (Psychology)
Han Zhang; Yilang Peng – Sociological Methods & Research, 2024
Automated image analysis has received increasing attention in social scientific research, yet existing scholarship has mostly covered the application of supervised learning to classify images into predefined categories. This study focuses on the task of unsupervised image clustering, which aims to automatically discover categories from unlabelled…
Descriptors: Social Science Research, Visual Aids, Visual Learning, Cluster Grouping
Morais, Jorge E.; Forte, Pedro; Silva, Antonio J.; Barbosa, Tiago M.; Marinho, Daniel A. – Research Quarterly for Exercise and Sport, 2021
Purpose: The aims of this study were to classify, identify and follow-up young swimmers' performance and its biomechanical determinants during two competitive seasons (in seven different moments of assessment--M), and analyze the individual variations of each swimmer. Method: Thirty young swimmers (14 boys: 12.70 ± 0.63 years-old; 16 girls:…
Descriptors: Aquatic Sports, Performance, Biomechanics, Reliability
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
John Sailer – National Association of Scholars, 2023
American higher education has recently embraced a new tool for advancing its commitment to "diversity, equity, and inclusion" (DEI). Many colleges and universities are now engaged in "DEI cluster hiring," a practice which ultimately embodies higher education's turn toward political and social activism. Unfortunately, it has…
Descriptors: Diversity, Equal Education, Inclusion, Personnel Selection
Cowan, Nelson; Elliott, Emily M. – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2023
We used the timing of serial recall in several situations to reveal important aspects of recall groupings that participants construct and the reasons those groupings occur. We examined the timing of responses in the recall of digit strings within two published experiments. Cowan, Saults, Elliott, and Moreno (2002) examined memory for nine-item…
Descriptors: Serial Ordering, Recall (Psychology), Reaction Time, Short Term Memory
Singelmann, Lauren Nichole – ProQuest LLC, 2022
To meet the national and international call for creative and innovative engineers, many engineering departments and classrooms are striving to create more authentic learning spaces where students are actively engaging with design and innovation activities. For example, one model for teaching innovation is Innovation-Based Learning (IBL) where…
Descriptors: Engineering Education, Design, Educational Innovation, Models
Barker, Joshua O.; Rohde, Jacob A. – Health Education & Behavior, 2019
E-cigarette use in the United States has significantly grown in recent years. Widespread diffusion of e-cigarette content across social media communities may be contributing to this growth. In this study, we (1) explored topics related to e-cigarettes and vaping on Reddit and (2) examined the extent to which these topics clustered across distinct…
Descriptors: Smoking, Social Media, Information Dissemination, Cluster Grouping
Tulsi A. Radhoe; Joost A. Agelink van Rentergem; Carolien Torenvliet; Annabeth P. Groenman; Wikke J. van der Putten; Hilde M. Geurts – Journal of Autism and Developmental Disorders, 2024
Autism is heterogeneous, which complicates providing tailored support and future prospects. We aim to identify subgroups in autistic adults with average to high intelligence, to clarify if certain subgroups might need support. We included 14 questionnaire variables related to aging and/or autism (e.g., demographic, psychological, and lifestyle).…
Descriptors: Adults, Autism Spectrum Disorders, Population Groups, Intelligence

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