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Amy J. Penick – ProQuest LLC, 2023
To ascertain variance and predictive measure between respondents' self-reported time of disclosure and disability identity development while mitigating for confounding variables: social desirability, transition planning experience, visibility, ethnicity, gender, veteran status, and age, research was conducted at a public two-year institution.…
Descriptors: Higher Education, Students with Disabilities, Self Concept, Time
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Litwin, Piotr; Milkowski, Marcin – Cognitive Science, 2020
Predictive processing (PP) has been repeatedly presented as a unificatory account of perception, action, and cognition. In this paper, we argue that this is premature: As a unifying theory, PP fails to deliver general, simple, homogeneous, and systematic explanations. By examining its current trajectory of development, we conclude that PP remains…
Descriptors: Prediction, Cognitive Processes, Epistemology, Theories
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Geden, Michael; Emerson, Andrew; Carpenter, Dan; Rowe, Jonathan; Azevedo, Roger; Lester, James – International Journal of Artificial Intelligence in Education, 2021
Game-based learning environments are designed to provide effective and engaging learning experiences for students. Predictive student models use trace data extracted from students' in-game learning behaviors to unobtrusively generate early assessments of student knowledge and skills, equipping game-based learning environments with the capacity to…
Descriptors: Game Based Learning, Middle School Students, Microbiology, Secondary School Science
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Larberg, Jeannie L.; Sherlin, Leslie H. – SAGE Open, 2021
School counselors are essential staff in an education setting, contributing to student success by delivering critical services when implementing a comprehensive school counseling program. The study examined the predictive relationships of school counselors' level of grit and mindset with their activities performed in programmatic service delivery.…
Descriptors: School Counseling, Counseling Services, Resilience (Psychology), Correlation
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Chaijalearn, Yuttana; Saleekhum, Parinya; Lordkeaw, Chonlasit; Ratchawet, Anodar; Intharawiset, Thanin – Higher Education Studies, 2023
The research aimed to 1) build and assess suitability of the learning management plan of the predictive-observation-explanatory (POE) technology based learning approach to promote scientific explanation making about the change of the substance for primary school students, 2) to distill the lesson learnt of the predictive-observation-explanatory…
Descriptors: Learning Management Systems, Science Education, Elementary School Students, Science Instruction
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Ogbuanya, Theresa Chinyere; Yekinni, Sunkanmi Afeez – Journal of Education, 2022
This study investigated the predictive influence of career growth on work stress of electrical/electronic trade teachers. The study adopted correlation research design and the structured questionnaire was used to collect data from the respondent. The entire one hundred and eighty five (185) electrical/electronic trade teachers of technical…
Descriptors: Electrical Occupations, Electronics, Manufacturing Industry, Teachers
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Sánchez-Fernández, Magdalena; Borda-Mas, Mercedes – Education and Information Technologies, 2023
University students are a high-risk population with problematic online behaviours that include generalized problematic Internet/smartphone use and specific problematic Internet uses (for example, social media or gaming). The study of their predictive factors is needed in order to develop preventative strategies. This systematic review aims to…
Descriptors: College Students, Student Behavior, Telecommunications, Handheld Devices
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Razmi, Mohammad Hasan; Khabir, Masoud; Tilwani, Shouket Ahmad – International Journal of Language Testing, 2021
Since its inception in 1949, over 1,500 studies have investigated the validity of the GRE General Test to predict its performance criteria in higher education (Klieger, Bridgeman, Tannenbaum, & Cline, 2016). The present review paper sought to examine the predictive validity of the GRE General Test. Factors affecting the predictive validity…
Descriptors: Meta Analysis, Predictive Validity, College Entrance Examinations, Graduate Study
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Maglica, Toni; Kalebic Jakupcevic, Katija; Reic Ercegovac, Ina – Emotional & Behavioural Difficulties, 2021
This research aimed to explore the role of parental characteristics and mindful parenting in risk behaviour of adolescents. A total of 604 participants took part in the study, out of which N = 361 were adolescents aged 13 to 18, N = 158 were their mothers, and N = 85 fathers. To achieve the aim of the research, the following questionnaires were…
Descriptors: Risk, Adolescents, Violence, Eating Disorders
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Eksi, Halil; Demirci, Ibrahim; Albayrak, Ibrahim; Eksi, Füsun – International Journal of Psychology and Educational Studies, 2022
This research aims to explore the association between personality traits, character strength, and flourishing in university students (N=384). In the study, Three-dimensional Character Strengths Scale was adapted to Turkish. As a result of confirmatory factor analysis, the Three-dimensional Character Strengths Scale was acceptable for the goodness…
Descriptors: Foreign Countries, Personality Traits, Individual Characteristics, Well Being
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Gontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement
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Carrillo-López, Pedro José; Constante-Amores, Alexander; Arroyo-Resino, Delia; Sánchez-Munilla, María – International Journal of Education in Mathematics, Science and Technology, 2022
The study of academic achievement continues to be one of the "star" topics in the field of education today because of its great importance as an indicator for assessing educational quality and has therefore been studied from various perspectives. In this regard, the aim of this study was to study which dimensions of self-concept…
Descriptors: Self Concept, Academic Achievement, Elementary School Students, Predictor Variables
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Gkontzis, Andreas F.; Kotsiantis, Sotiris; Panagiotakopoulos, Christos T.; Verykios, Vassilios S. – Interactive Learning Environments, 2022
Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze, and predict students' failure,…
Descriptors: Student Attrition, Distance Education, At Risk Students, Achievement
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Liu, Xinmiao – SAGE Open, 2021
This study examined the effect of mood on predictive sentence processing by older adults. A self-paced reading task was implemented among a group of younger adults and older adults to measure their performance in online sentence processing. Half of the sentences were highly predictable, whereas the other half were lowly predictable. Music was used…
Descriptors: Psychological Patterns, Prediction, Sentences, Reading Processes
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Isaacs, Talia; Hu, Ruolin; Trenkic, Danijela; Varga, Julia – Language Testing, 2023
The COVID-19 pandemic has changed the university admissions and proficiency testing landscape. One change has been the meteoric rise in use of the fully automated Duolingo English Test (DET) for university entrance purposes, offering test-takers a cheaper, shorter, accessible alternative. This rapid response study is the first to investigate the…
Descriptors: Predictive Validity, Educational Technology, Handheld Devices, Language Tests
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