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Kelli A. Bird; Benjamin L. Castleman; Zachary Mabel; Yifeng Song – AERA Open, 2021
Colleges have increasingly turned to predictive analytics to target at-risk students for additional support. Most of the predictive analytic applications in higher education are proprietary, with private companies offering little transparency about their underlying models. We address this lack of transparency by systematically comparing two…
Descriptors: At Risk Students, Identification, Two Year College Students, Community Colleges
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Miciak, Jeremy; Taylor, W. Pat; Stuebing, Karla K.; Fletcher, Jack M. – Journal of Psychoeducational Assessment, 2018
We investigated the classification accuracy of learning disability (LD) identification methods premised on the identification of an intraindividual pattern of processing strengths and weaknesses (PSW) method using multiple indicators for all latent constructs. Known LD status was derived from latent scores; values at the observed level identified…
Descriptors: Accuracy, Learning Disabilities, Classification, Identification
Enfinger, Kerry Wayne – ProQuest LLC, 2016
The number of malicious files present in the public domain continues to rise at a substantial rate. Current anti-malware software utilizes a signature-based method to detect the presence of malicious software. Generating these pattern signatures is time consuming due to malicious code complexity and the need for expert analysis, however, by making…
Descriptors: Artificial Intelligence, Computer Software, Identification, Computer Security
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Erbeli, Florina; He, Kai; Cheek, Connor; Rice, Marianne; Qian, Xiaoning – Scientific Studies of Reading, 2023
Purpose: Researchers have developed a constellation model of decodingrelated reading disabilities (RD) to improve the RD risk determination. The model's hallmark is its inclusion of various RD indicators to determine RD risk. Classification methods such as logistic regression (LR) might be one way to determine RD risk within the constellation…
Descriptors: At Risk Students, Reading Difficulties, Classification, Comparative Analysis
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Kuske, Bettina; Wolff, Christian; Gövert, Uwe; Müller, Sandra Verena – Journal of Applied Research in Intellectual Disabilities, 2017
Background: This study investigated the application of a newly developed neuropsychological assessment, the Wolfenbütteler Dementia Test for Individuals with Intellectual Disabilities (WDTIM) in combination with the Dementia Screening Questionnaire for Individuals with Intellectual Disabilities (DSQIID). Methods: The instruments were evaluated in…
Descriptors: Dementia, Foreign Countries, Identification, Psychological Evaluation
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Schindler, Julia; Richter, Tobias; Isberner, Maj-Britt; Naumann, Johannes; Neeb, Yvonne – Language Assessment Quarterly, 2018
Reading comprehension is based on the efficient accomplishment of several cognitive processes at the word, sentence, and text level. To the extent that each of these processes contributes to reading comprehension, it can cause reading difficulties if it is deficient. To identify individual sources of reading difficulties, tools are required that…
Descriptors: Construct Validity, Language Tests, Grammar, Task Analysis
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Saindon, Mathieu R.; Trehub, Sandra E.; Schellenberg, E. Glenn; van Lieshout, Pascal H. H. M. – Language Learning and Development, 2017
Terminal changes in fundamental frequency provide the most salient acoustic cues to declarative questions, but adults sometimes identify such questions from pre-terminal cues. In the present study, adults and 7- to 10-year-old children judged a single speaker's adult- and child-directed utterances as questions or statements in a gating task with…
Descriptors: Acoustics, Cues, Adults, Children
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Tsukada, Kimiko; Cox, Felicity; Hajek, John; Hirata, Yukari – Second Language Research, 2018
Learners of a foreign language (FL) typically have to learn to process sounds that do not exist in their first language (L1). As this is known to be difficult for adults, in particular, it is important for FL pedagogy to be informed by phonetic research. This study examined the role of FL learners' previous linguistic experience in the processing…
Descriptors: Second Language Learning, Second Language Instruction, Japanese, Italian
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Renshaw, Tyler L.; Cook, Clayton R. – Journal of Psychoeducational Assessment, 2018
The present studies report on the initial development and validation of the Youth Internalizing Problems Screener (YIPS), which is a 10-item self-report rating scale for assessing general internalizing problems and identifying depression and anxiety caseness within the context of school mental health screening. Results from Study 1 (N = 177)…
Descriptors: Scores, Screening Tests, Well Being, Mental Health
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Miller, Faith G.; Cohen, Daniel; Chafouleas, Sandra M.; Riley-Tillman, T. Chris; Welsh, Megan E.; Fabiano, Gregory A. – School Psychology Quarterly, 2015
The purpose of this study was to examine the relation between teacher-implemented screening measures used to identify social, emotional, and behavioral risk. To this end, 5 screening options were evaluated: (a) Direct Behavior Rating-Single Item Scales (DBR-SIS), (b) Social Skills Improvement System-Performance Screening Guide (SSiS), (c)…
Descriptors: Comparative Analysis, Measures (Individuals), Screening Tests, At Risk Students
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Koon, Sharon; Petscher, Yaacov – Regional Educational Laboratory Southeast, 2015
The purpose of this report was to explicate the use of logistic regression and classification and regression tree (CART) analysis in the development of early warning systems. It was motivated by state education leaders' interest in maintaining high classification accuracy while simultaneously improving practitioner understanding of the rules by…
Descriptors: Classification, Regression (Statistics), Models, At Risk Students
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Yan, Jie; Lavigne, Nancy C. – Journal of Experimental Education, 2014
Statistics learners often bypass the critical step of understanding a problem before executing solutions. Worked-out examples that identify problem information (e.g., data type, number of groups, purpose of analysis) key to determining a solution (e.g., "t" test, chi-square, correlation) can address this concern. The authors examined the…
Descriptors: College Students, Statistics, Mathematics Instruction, College Mathematics
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Bahreini, Kiavash; Nadolski, Rob; Westera, Wim – Education and Information Technologies, 2016
This paper presents the voice emotion recognition part of the FILTWAM framework for real-time emotion recognition in affective e-learning settings. FILTWAM (Framework for Improving Learning Through Webcams And Microphones) intends to offer timely and appropriate online feedback based upon learner's vocal intonations and facial expressions in order…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Recognition (Psychology)
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Knight-Teague, Kerri; Vanderwood, Michael L.; Knight, Erin – School Psychology Review, 2014
Oral reading fluency is frequently used in school settings to assess student reading skills, but it is somewhat commonly believed that some students can read words fluently while not comprehending (i.e., word callers). Previous studies examining the prevalence of word callers typically included native English speakers rather than English learners…
Descriptors: English Language Learners, Grade 3, Grade 5, Oral Reading
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Musso, Mariel F.; Kyndt, Eva; Cascallar, Eduardo C.; Dochy, Filip – Frontline Learning Research, 2013
Many studies have explored the contribution of different factors from diverse theoretical perspectives to the explanation of academic performance. These factors have been identified as having important implications not only for the study of learning processes, but also as tools for improving curriculum designs, tutorial systems, and students'…
Descriptors: Prediction, Academic Achievement, Networks, Learning Processes