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Rahimi, Zahra; Litman, Diane; Correnti, Richard; Wang, Elaine; Matsumura, Lindsay Clare – International Journal of Artificial Intelligence in Education, 2017
This paper presents an investigation of score prediction based on natural language processing for two targeted constructs within analytic text-based writing: 1) students' effective use of evidence and, 2) their organization of ideas and evidence in support of their claim. With the long-term goal of producing feedback for students and teachers, we…
Descriptors: Scoring, Automation, Scoring Rubrics, Natural Language Processing
Murphy, Marina – ProQuest LLC, 2017
Social skills and academic competence are key factors influencing children's development and functioning across early childhood and through adolescence. There is a great need to understand the longitudinal patterns of growth in social and academic skills in order to further inform intervention, particularly for at-risk groups such as individuals…
Descriptors: Interpersonal Competence, Disabilities, Children, Comparative Analysis
Grace, Jamila – ProQuest LLC, 2017
Practical nurses can provide quality, cost-effective care in an ever-changing health care setting which is faced with a shortage of nurses. A community college system in the southeastern area of the United States began using the Test of Essential Academic Skills (TEAS) V as part of admission criteria for nursing programs. While Assessment…
Descriptors: Correlation, Nursing Education, Nursing Students, Student Evaluation
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Copping, Lee T.; Cramman, Helen; Gott, Sarah; Gray, Helen; Tymms, Peter – Educational Research, 2016
Background: The Performance Indicators in Primary Schools On Entry Baseline assessment for pupils starting school includes an item which aims to assess how well a pupil writes his or her own name. There is some debate regarding the utility of this measure, on the grounds that name length may constitute bias. Purpose, method and design: The…
Descriptors: Foreign Countries, Elementary School Students, Predictive Validity, Correlation
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Kiliçoglu, Gökhan; Kiliçoglu, Derya Yilmaz; Karadag, Engin – Leadership and Policy in Schools, 2019
Educational organizations in institutionalized environments may try to reflect a legitimate image of the environment in their internal structure. However, there may be loosely coupled relationship between anticipated legitimacy and the performed actions in the schools. Thus, that lack of congruence between rhetoric and the behaviors constitutes…
Descriptors: Foreign Countries, Organizational Climate, Organizational Culture, Integrity
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Abós Catalán, Ángel; Sevil Serrano, Javier; Julián Clemente, José Antonio; Martín-Albo Lucas, José; García-González, Luis – International Journal for Educational and Vocational Guidance, 2018
The present study aimed to validate a Spanish-version of the Basic Psychological Needs at Work Scale (BPNWS-Sp) and to examine the associations between needs satisfaction and engagement and burnout in secondary education teachers. Using a sample of 584 secondary education teachers, the results supported the three-factor model, composite…
Descriptors: Psychological Needs, Teacher Attitudes, Attitude Measures, Behavior Rating Scales
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Rey, Lourdes; Quintana-Orts, Cirenia; Mérida-López, Sergio; Extremera, Natalio – Comunicar: Media Education Research Journal, 2018
Elucidating personal factors that may protect against the adverse psychological outcomes of cyberbullying victimisation might help guide more effective screening and school intervention. No studies have yet examined the role of emotional intelligence (EI) and gender in adolescent victims of cyberbullying and how these dimensions might interact in…
Descriptors: Emotional Intelligence, Bullying, Mass Media Effects, Mass Media Use
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Almeda, Ma. Victoria; Zuech, Joshua; Utz, Chris; Higgins, Greg; Reynolds, Rob; Baker, Ryan S. – Online Learning, 2018
Online education continues to become an increasingly prominent part of higher education, but many students struggle in distance courses. For this reason, there has been considerable interest in predicting which students will succeed in online courses and which will receive poor grades or drop out prior to completion. Effective intervention depends…
Descriptors: Performance Factors, Online Courses, Electronic Learning, Models
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Armstrong, Rebecca; Symons, Martyn; Scott, James G.; Arnott, Wendy L.; Copland, David A.; McMahon, Katie L.; Whitehouse, Andrew J. O. – Journal of Speech, Language, and Hearing Research, 2018
Purpose: The current study aimed to compare traditional logistic regression models with machine learning algorithms to investigate the predictive ability of (a) communication performance at 3 years old on language outcomes at 10 years old and (b) broader developmental skills (motor, social, and adaptive) at 3 years old on language outcomes at 10…
Descriptors: Foreign Countries, Regression (Statistics), Language Tests, Predictive Validity
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Schoepp, Kevin – Higher Education Quarterly, 2018
As access to a university education has increased globally, there have also been increases in the number of universities that use English as a medium of instruction (EMI) and in the number of non-English-speaking students studying in English-speaking countries. Correspondingly, the English language proficiency of students studying in EMI…
Descriptors: Predictive Validity, Language of Instruction, English (Second Language), Second Language Learning
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Romig, John Elwood; Therrien, William J.; Lloyd, John W. – Journal of Special Education, 2017
We used meta-analysis to examine the criterion validity of four scoring procedures used in curriculum-based measurement of written language. A total of 22 articles representing 21 studies (N = 21) met the inclusion criteria. Results indicated that two scoring procedures, correct word sequences and correct minus incorrect sequences, have acceptable…
Descriptors: Meta Analysis, Curriculum Based Assessment, Written Language, Scoring Formulas
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Hawthorne, Katrice A.; Bol, Linda; Pribesh, Shana – Journal of Experimental Education, 2017
Rubric-referenced calibration and the interaction between writing achievement and calibration, a measure of the relationship between one's performance and the accuracy of one's judgments, were investigated. Undergraduate students (N = 596) were assigned to one of three calibration conditions: (a) global, (b) global and general criteria, or (c)…
Descriptors: Accuracy, Writing Exercises, Task Analysis, Scoring Rubrics
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Zhang, Li-fang; Evans, Carol; Postiglione, Gerard A. – Educational Psychology, 2017
This research investigated the statistical predictive power of organisational commitments for academics' teaching approaches. Participants were 268 academics working in six elite universities in Beijing, mainland China. Results showed that academics' organisational commitments as measured by the Organisational Commitment Inventory significantly…
Descriptors: Foreign Countries, College Faculty, Colleges, Teacher Attitudes
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Ramanarayanan, Vikram; Lange, Patrick; Evanini, Keelan; Molloy, Hillary; Tsuprun, Eugene; Qian, Yao; Suendermann-Oeft, David – ETS Research Report Series, 2017
Predicting and analyzing multimodal dialog user experience (UX) metrics, such as overall call experience, caller engagement, and latency, among other metrics, in an ongoing manner is important for evaluating such systems. We investigate automated prediction of multiple such metrics collected from crowdsourced interactions with an open-source,…
Descriptors: Automation, Prediction, Man Machine Systems, Open Source Technology
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van Ooijen-van der Linden, Linda; van der Smagt, Maarten J.; Woertman, Liesbeth; te Pas, Susan F. – Assessment & Evaluation in Higher Education, 2017
Prediction accuracy of academic achievement for admission purposes requires adequate "sensitivity" and "specificity" of admission tools, yet the available information on the validity and predictive power of admission tools is largely based on studies using correlational and regression statistics. The goal of this study was to…
Descriptors: Bias, Perception, Theories, Admission Criteria
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