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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
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
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
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
Chang Lu; Okan Bulut; Carrie Demmans Epp; Mark Gierl – Distance Education, 2025
Engagement is essential for improving academic outcomes, especially in technology-enhanced learning (TEL) environments where self-regulated learning is critical. This study investigated the longitudinal impacts of different levels of engagement on undergraduate students' short-term and long-term academic outcomes in TEL. Using a learning analytics…
Descriptors: Learner Engagement, Outcomes of Education, Technology Uses in Education, Educational Technology
Helen Boylan; Alison L. DuBois; Brian Petrus – Journal of STEM Education: Innovations and Research, 2025
In recent years, employers have expressed concerns that Science, Technology, Engineering, and Mathematics (STEM) graduates, though proficient in their academic disciplines, lack the critical skills necessary for success in the workplace (Karimi & Pina, 2021). Additionally, many non-STEM majors do not develop the basic STEM competencies that…
Descriptors: Student Projects, Active Learning, Teamwork, Undergraduate Students
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
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
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
Syrmpas, Ioannis; Papaioannou, Athanasios; Digelidis, Nikolaos; Erturan, Gokce; Byra, Mark – Journal of Teaching in Physical Education, 2021
Purpose: This study aimed to test the invariance of perceptions of the Spectrum teaching styles across Turkish and Greek preservice physical education teachers and to examine whether the styles could be classified into two clusters through self-determination theory. Greek (n = 298) and Turkish (n = 300) preservice teachers participated. Method:…
Descriptors: Teaching Styles, Questionnaires, Preservice Teachers, Physical Education Teachers
Jennifer C. LaFleur – AERA Online Paper Repository, 2024
Drawing on interviews with parents of public-school students in who joined learning pods for the 2020-21 school year, this paper argues that the COVID-19 pandemic may have had a narrowing effect on the worlds of children in ways that increase their socio-spatial isolation along vectors of race and class. Interviews with parents who started…
Descriptors: COVID-19, Pandemics, Small Group Instruction, Parent Participation
Yang, Xi; Zhou, Guojing; Taub, Michelle; Azevedo, Roger; Chi, Min – International Educational Data Mining Society, 2020
In the learning sciences, heterogeneity among students usually leads to different learning strategies or patterns and may require different types of instructional interventions. Therefore, it is important to investigate student subtyping, which is to group students into subtypes based on their learning patterns. Subtyping from complex student…
Descriptors: Grouping (Instructional Purposes), Learning Strategies, Artificial Intelligence, Learning Analytics

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