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Direct linkBashir, Rabia; Dunn, Adam G.; Surian, Didi – Research Synthesis Methods, 2021
Few data-driven approaches are available to estimate the risk of conclusion change in systematic review updates. We developed a rule-based approach to automatically extract information from reviews and updates to be used as features for modelling conclusion change risk. Rules were developed to extract relevant information from published Cochrane…
Descriptors: Literature Reviews, Data, Automation, Statistical Analysis
Download full textHu, Qian; Rangwala, Huzefa – International Educational Data Mining Society, 2020
Over the past decade, machine learning has become an integral part of educational technologies. With more and more applications such as students' performance prediction, course recommendation, dropout prediction and knowledge tracing relying upon machine learning models, there is increasing evidence and concerns about bias and unfairness of these…
Descriptors: Artificial Intelligence, Bias, Learning Analytics, Statistical Analysis
Zehner, Fabian; Harrison, Scott; Eichmann, Beate; Deribo, Tobias; Bengs, Daniel; Andersen, Nico; Hahnel, Carolin – International Educational Data Mining Society, 2020
The "2nd Annual WPI-UMASS-UPENN EDM Data Mining Challenge" required contestants to predict efficient testtaking based on log data. In this paper, we describe our theory-driven and psychometric modeling approach. For feature engineering, we employed the Log-Normal Response Time Model for estimating latent person speed, and the Generalized…
Descriptors: Data Analysis, Competition, Classification, Prediction
Aksu, Gökhan; Güzeller, Cem Oktay; Eser, Mehmet Taha – International Journal of Assessment Tools in Education, 2019
In this study, it was aimed to compare different normalization methods employed in model developing process via artificial neural networks with different sample sizes. As part of comparison of normalization methods, input variables were set as: work discipline, environmental awareness, instrumental motivation, science self-efficacy, and weekly…
Descriptors: Sample Size, Artificial Intelligence, Classification, Statistical Analysis
Vogel, Tobias; Carr, Evan W.; Davis, Tyler; Winkielman, Piotr – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2018
Stimuli that capture the central tendency of presented exemplars are often preferred--a phenomenon also known as the classic beauty-in-averageness effect. However, recent studies have shown that this effect can reverse under certain conditions. We propose that a key variable for such ugliness-in-averageness effects is the category structure of the…
Descriptors: Interpersonal Attraction, Preferences, Stimuli, Experiments
Montoye, Alexander H. K.; Pivarnik, James M.; Mudd, Lanay M.; Biswas, Subir; Pfeiffer, Karin A. – Measurement in Physical Education and Exercise Science, 2016
The purpose of this article is to compare accuracy of activity type prediction models for accelerometers worn on the hip, wrists, and thigh. Forty-four adults performed sedentary, ambulatory, lifestyle, and exercise activities (14 total, 10 categories) for 3-10 minutes each in a 90-minute semi-structured laboratory protocol. Artificial neural…
Descriptors: Young Adults, Comparative Analysis, Physical Activities, Measurement Equipment
Morris, Darrell; Pennell, Ashley M.; Perney, Jan; Trathen, Woodrow – Reading Psychology, 2018
This study compared reading rate to reading fluency (as measured by a rating scale). After listening to first graders read short passages, we assigned an overall fluency rating (low, average, or high) to each reading. We then used predictive discriminant analyses to determine which of five measures--accuracy, rate (objective); accuracy, phrasing,…
Descriptors: Reading Fluency, Prediction, Grade 1, Elementary School Students
Karatjas, Andrew; Webb, Jeffrey – International Journal for the Scholarship of Teaching and Learning, 2017
The Kruger-Dunning effect was studied as it related to performance in chemistry courses based on student differences in academic background. Student major was chosen as the classification to look at the effect of students with different interests/specializations. Chemistry majors tended to predict lower performance than biology majors, while…
Descriptors: Majors (Students), Grades (Scholastic), Chemistry, Science Instruction
Michel, George F.; Babik, Iryna; Sheu, Ching-Fan; Campbell, Julie M. – Developmental Psychology, 2014
Handedness for acquiring objects was assessed monthly from 6 to 14 months in 328 infants (182 males). A group based trajectory model identified 3 latent groups with different developmental trajectories: those with an identifiable right preference (38%) or left preference (14%) and those without an identifiable preference (48%) but with a…
Descriptors: Infants, Handedness, Child Development, Lateral Dominance
Cen, Ling; Ruta, Dymitr; Powell, Leigh; Hirsch, Benjamin; Ng, Jason – International Journal of Computer-Supported Collaborative Learning, 2016
The benefits of collaborative learning, although widely reported, lack the quantitative rigor and detailed insight into the dynamics of interactions within the group, while individual contributions and their impacts on group members and their collaborative work remain hidden behind joint group assessment. To bridge this gap we intend to address…
Descriptors: Cooperative Learning, Statistical Analysis, Group Dynamics, Group Activities
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
Onwuegbuzie, Anthony J. – Journal of Educational Issues, 2016
In this article, I provide a typology of transition words/phrases. This typology comprises 12 dimensions of link words/phrases that capture 277 link words/phrases. Using QDA Miner, WordStat, and SPSS--a computer-assisted mixed methods data analysis software, content analysis software, and statistical software, respectively--I analyzed 74…
Descriptors: Classification, Data Analysis, Computational Linguistics, Content Analysis
He, Angela Xiaoxue; Lidz, Jeffrey – Language Learning and Development, 2017
The present study investigates English-learning infants' early understanding of the link between the grammatical category "verb" and the conceptual category "event," and their ability to recruit morphosyntactic information online to learn novel verb meanings. We report two experiments using an infant-controlled…
Descriptors: Verbs, Language Acquisition, Infants, Cognitive Mapping
Bussu, G.; Jones, E. J. H.; Charman, T.; Johnson, M. H.; Buitelaar, J. K.; Baron-Cohen, S.; Bedford, R.; Bolton, P.; Blasi, A.; Chandler, S.; Cheung, C.; Davies, K.; Elsabbagh, M.; Fernandes, J.; Gammer, I.; Garwood, H.; Gliga, T.; Guiraud, J.; Hudry, K.; Liew, M.; Lloyd-Fox, S.; Maris, H.; O'Hara, L.; Pasco, G.; Pickles, A.; Ribeiro, H.; Salomone, E.; Tucker, L.; Volein, A. – Journal of Autism and Developmental Disorders, 2018
We integrated multiple behavioural and developmental measures from multiple time-points using machine learning to improve early prediction of individual Autism Spectrum Disorder (ASD) outcome. We examined Mullen Scales of Early Learning, Vineland Adaptive Behavior Scales, and early ASD symptoms between 8 and 36 months in high-risk siblings (HR; n…
Descriptors: Prediction, Autism, Symptoms (Individual Disorders), Classification
Mancilla-Martinez, Jeannette; Wallace Jacoby, Jennifer – Early Education and Development, 2018
Research Findings: This longitudinal study investigated the Spanish vocabulary development of dual-language-learning (DLL) children (N = 150) from Spanish-speaking, low-income, predominantly immigrant homes who were enrolled in a state-funded preschool program that provided instruction in Spanish. Children's Spanish vocabulary trajectories were…
Descriptors: Spanish, Low Income, Vocabulary Development, Risk
