This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for…

This paper presents a tool for creating student models in logistic regression. Creating student models has typically been done by expert selection of the appropriate terms, beginning with models as simple as IRT or AFM but more recently with highly complex models like BestLR. While alternative methods exist to select the appropriate predictors for…

Mixed Membership Models (MMMs) are a popular family of latent structure models for complex multivariate data. Instead of forcing each subject to belong to a single cluster, MMMs incorporate a vector of subject-specific weights characterizing partial membership across clusters. With this flexibility come challenges in uniquely identifying,…

The study aimed to determine the effectiveness of the blended learning modalities used by teachers in teaching Environmental Science classes in the new normal and their relationship to their academic performance. The researcher utilized the descriptive-correlational design and employed the random sampling technique. The respondents of the study…

This study aims to first investigate the effect of the extreme response style (ERS) which could lead to an attitude-achievement paradox among the countries participating in the Trends in International Mathematics and Science Study (TIMSS 2015), and then to determine the individual- and country-level relationships between attitude and achievement…

Online teaching evaluations have replaced in-class teaching evaluations as the new norm for assessing teaching performance. Faculty raise concerns regarding lower response rates compared to traditional in-class evaluations. A low response rate implies an underrepresentation of the target student population and threatens the validity of the…

Articulating ideas in writing based on English conventions may be one of the biggest challenges for English as a foreign language students, which makes corrective feedback (CF) an indispensable part in writing practice. In terms of providing CF, researchers have claimed that indirect CF has a number of advantages for the improvement of students'…

The semi-generalized partial credit model (Semi-GPCM) has been proposed as a unidimensional modeling method for handling not applicable scale responses and neutral scale responses, and it has been suggested that the model may be of use in handling missing data in scale items. The purpose of this study is to evaluate the ability of the…

There are positive feedback loops between students' grades and emotions. However, subjective appraisals, not grades, are theorized to trigger emotions. We extended previous research by comparing the effects of objective score and subjective appraisals of the score (i.e., satisfaction) on emotions. We used an ecologically-valid quasi-experimental…

The social information processing (SIP) model, which involves a sequence of six cognitive processing steps, is frequently used by researchers to understand proactive and reactive aggression in youth; however, there has been little discussion in the literature regarding the application of the SIP model in school counseling. This article presents a…

Course evaluations can be an effective tool for students to appraise a course and instructor; however, they can also be a communicative space for students to write comments instructors perceive as hurtful, need to make sense of and reconcile with their instructional practice. Instructors turn to others to help make sense of and cope with comments.…

Item response tree (IRTree) models are recently introduced as an approach to modeling response data from Likert-type rating scales. IRTree models are particularly useful to capture a variety of individuals' behaviors involving in item responding. This study employed IRTree models to investigate response styles, which are individuals' tendencies to…

There to date exists limited research on how emotion regulation shapes students' emotional experiences and academic development in higher education. The purpose of this study was to address this gap by examining how students in STEM (Science, Technology, Engineering, Math) degree programs (N = 174) use emotion regulation strategies related to…

This research examined the effect of learning analytics (LA) on students' metacognitive awareness and academic achievement in an online learning environment. In this study, a mixed methods approach was used and applied as a quasi-experimental design. The results of LA were sent to students weekly in LA group (experimental group) via learning…

Purpose: The aim of this study was to investigate infants' listening preference for emotional prosodies in spoken words and identify their acoustic correlates. Method: Forty-six 3- to-12-month-old infants (M[subscript age] = 7.6 months) completed a central fixation (or look-to-listen) paradigm in which four emotional prosodies (happy, sad, angry,…