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Showing 1 to 15 of 55 results Save | Export
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Yiran Chen – Research in Higher Education, 2025
The "k"-means clustering method, while widely embraced in college student typology research, is often misunderstood and misapplied. Many researchers regard "k"-means as a near-universal solution for uncovering homogeneous student groups, believing its success hinges primarily on the selection of an appropriate "k."…
Descriptors: College Students, Classification, Educational Research, Research Methodology
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Çar, Bekir; Metin, Serkan Necati; Süngü, Büsra; Konar, Nurettin – Education Quarterly Reviews, 2022
A career is a process in which people prepare themselves for a higher level in their professional life by gaining certain experiences and knowledge in their professional life and direct proportion to the increase in their knowledge. Sports are activities that socialize people through certain physical activities, reveal their performance and…
Descriptors: Foreign Countries, College Students, Student Attitudes, Career Awareness
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Taskin, Necati; Kiliç Çakmak, Ebru – Contemporary Educational Technology, 2020
Marczewski (2015) has introduced a new classification model for different user types. Tondello et al. (2016) developed and later revised (Tondello et al., 2019) "The Gamification User Types Hexad Scale" based on this model. The aim of this study is to adapt this scale into Turkish. The validity and reliability study of the scale was…
Descriptors: Measures (Individuals), Turkish, Games, Media Adaptation
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Wu, Jiun-Yu; Hsiao, Yi-Cheng; Nian, Mei-Wen – Interactive Learning Environments, 2020
This paper demonstrated the use of the supervised Machine Learning (ML) for text classification to predict students' final course grades in a hybrid Advanced Statistics course and exhibited the potential of using ML classified messages to identify students at risk of course failure. We built three classification models with training data of 76,936…
Descriptors: Social Media, Discussion Groups, Artificial Intelligence, Classification
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Moru, Eunice Kolitsoe; Rammea, Lisema – African Journal of Research in Mathematics, Science and Technology Education, 2019
The use of logic is an integral part of mathematical reasoning and communication. This exploratory study explored the reasoning by 122 science students from a university in Lesotho about the truth or falsity of conditional statements. Written tasks and interviews were used as methods of data collection to produce qualitative data. The tasks…
Descriptors: Student Attitudes, Ethics, Science Education, Mathematical Logic
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Tabatabaee-Yazdi, Mona – SAGE Open, 2020
The Hierarchical Diagnostic Classification Model (HDCM) reflects on the sequences of the presentation of the essential materials and attributes to answer the items of a test correctly. In this study, a foreign language reading comprehension test was analyzed employing HDCM and the generalized deterministic-input, noisy and gate (G-DINA) model to…
Descriptors: Diagnostic Tests, Classification, Models, Reading Comprehension
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Stevenson, Jennifer L.; Hart, Kari R. – Journal of Autism and Developmental Disorders, 2017
The current study systematically investigated the effects of scoring and categorization methods on the psychometric properties of the Autism-Spectrum Quotient. Four hundred and three college students completed the Autism-Spectrum Quotient at least once. Total scores on the Autism-Spectrum Quotient had acceptable internal consistency and…
Descriptors: Autism, Pervasive Developmental Disorders, Scoring, Classification
Crouse, Jill; Harmston, Matt; Radunzel, Justine – ACT, Inc., 2017
In 2014, ACT developed a method to identify high school students who had an interest in Science, Technology, Engineering, and Mathematics (STEM)-related fields. By using ACT data elements, this method provided two different types of STEM interest: Expressed and measured. Based on these STEM interest types, students can be assigned to one of four…
Descriptors: STEM Education, High School Students, Student Characteristics, Validity
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Nelson, Jason M.; Lindstrom, Will; Foels, Patricia A.; Lamkin, Joanna; Dwyer, Lucia – Annals of Dyslexia, 2019
Although reading is an essential skill for college success, little is known about how college students with and without disabilities read within their actual college curriculum. In the present article, we report on two studies addressing this issue. Within study 1, we developed and validated curriculum-based oral reading fluency measures using a…
Descriptors: Attention Deficit Hyperactivity Disorder, College Students, Oral Reading, Reading Fluency
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Emmanuel-Aviña, Glory; Delaney, Harold D. – Journal of Curriculum and Teaching, 2018
In the clinical, therapy context, it has consistently been found that while therapists' value systems are stable, clients' values are less stable and become congruent with their therapists' values over the course of psychotherapy (e.g., Schwehn & Schau, 1999). This phenomenon is termed the Value Assimilation Effect (VAE). This study examined…
Descriptors: Correlation, College Faculty, College Students, Values
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Demir, Ergul – Eurasian Journal of Educational Research, 2018
Purpose: The answer-copying tendency has the potential to detect suspicious answer patterns for prior distributions of statistical detection techniques. The aim of this study is to develop a valid and reliable measurement tool as a scale in order to observe the tendency of university students' copying of answers. Also, it is aimed to provide…
Descriptors: College Students, Cheating, Test Construction, Student Behavior
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Taylor, Purcell; El-Sabawi, Taleed; Cangin, Causenge – Journal of American College Health, 2016
Objective: To improve the CAGE (Cut down, Annoyed, Guilty, Eye opener) questionnaire's predictive accuracy in screening college students. Participants: The sample consisted of 219 midwestern university students who self-administered a confidential survey. Methods: Exploratory factor analysis, confirmatory factor analysis, receiver operating…
Descriptors: College Students, Factor Analysis, Screening Tests, Factor Structure
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Leung, Chi Hung – Asia Pacific Education Review, 2017
Depression, anxiety, and stress of moderate to severe levels were found in 21, 41, and 27% of university students in Hong Kong, respectively. The development of a screening tool for assessing adjustment difficulties among tertiary education students is helpful for counseling professionals in university. The Student Perception of University Support…
Descriptors: Student Adjustment, Mental Health, Depression (Psychology), Anxiety
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D'Errico, Francesca; Paciello, Marinella; De Carolis, Bernardina; Vattanid, Alessandro; Palestra, Giuseppe; Anzivino, Giuseppe – International Journal of Emotional Education, 2018
In times of growing importance and emphasis on improving academic outcomes for young people, their academic selves/lives are increasingly becoming more central to their understanding of their own wellbeing. How they experience and perceive their academic successes or failures, can influence their perceived self-efficacy and eventual academic…
Descriptors: Well Being, Self Efficacy, Academic Achievement, Cognitive Processes
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Lin, Wei-Sheng; Hsu, Yuling; Liang, Chaoyun – International Journal of Technology and Design Education, 2014
Three studies were combined to examine the effects of creativity and imagination on the academic performance of design students. Study 1 conducted an exploratory factor analysis to determine the most appropriate structure of the Creativity Capability Scale (CCS) in a sample of 313 college students. The scale was a new self-report measure, and it…
Descriptors: Imagination, Academic Achievement, Creativity, Factor Analysis
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