Machine learning models were constructed to predict student performance in an introductory mechanics class at a large land-grant university in the United States using data from 2061 students. Students were classified as either being at risk of failing the course (earning a D or F) or not at risk (earning an A, B, or C). The models focused on…

We investigated the role of cue weighting, second language (L2) proficiency, and L2 daily exposure in L2 learning of suprasegmentals different from the first language (L1), using eye-tracking. Spanish monolinguals, English-Spanish learners, and Mandarin--Spanish learners saw a paroxytone and an oxytone verb (e.g., "FIRma-firMÓ"…

Adopting a sequential mixed-methods approach, the current inquiry examined English major students' perceptions of the role of teacher confirmation and teacher credibility in enhancing their academic engagement in the Chinese context. In doing so, through WeChat messenger, three scales were provided to 1168 English major students chosen from…

Effective learning outcome modeling is crucial to the success of learning evaluation in education. In the digital age, the movement towards online learning and computerized assessments has resulted in an explosion of structured and unstructured educational data (e.g., learners' problem-solving process data), which offers new opportunities for…

The pervasive use of distributional semantic models or word embeddings for both cognitive modeling and practical application is because of their remarkable ability to represent the meanings of words. However, relatively little effort has been made to explore what types of information are encoded in distributional word vectors. Knowing the internal…

An essential feature of episodic memory is the ability to recall the multiple elements relating to one event from the multitude of elements relating to other, potentially similar events. Hippocampal pattern separation is thought to play a fundamental role in this process, by orthogonalizing the representations of overlapping events during…

Optimistic attributional style has been shown to be reliably associated with high well-being and low depression and (Hu et al., "Journal of Social and Clinical Psychology," 34(4): 304-321, 2015). Via both a meta-analysis and two new studies, we examine the relationship between optimistic attributional style for explaining negative and…

Background: Several statistical applications including Mplus, STATA, and R are available to conduct analyses such as structural equation modeling and multi-level modeling using large-scale assessment data that employ complex sampling and assessment designs and that provide associated information such as sampling weights, replicate weights, and…

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…

Building on the control-value theory, the present study examined the independent and joint predictive effects of three emotions--enjoyment, anxiety, and boredom--on L2 achievement over time. The participants of the study were a group of junior secondary English learners in rural China, a population that has hitherto never featured in L2 learning…

Online education has made it possible to implement the "classes suspended but learning continues" policy during the COVID-19 outbreak. However, the intangible sense of the online educational setting requires self-directed learning (SDL) and may force students to know the goals of learning that may impact their engagement. To understand…

The demand-resource framework is widely used to predict burnout in occupational context. This cross-sectional study aimed to explore the links of school demands and resources to student burnout. Six hundred and ninety-six Hungarian students from secondary schools participated in the data collection using online survey method in classrooms.…

The purpose of the study is to examine the relationship pattern between school administrators' virtuous leadership behaviors and organizational prestige of schools. In order to examine the relationship pattern between variables, relational survey model (predictive design) was preferred among quantitative research methods. The study group of the…

Despite the pervasive nature of podcasts, little research has examined college student's affinity for and motivations to listen to podcasts. This study investigated college students' motivations, attitudes and behaviors in association with podcasts utilizing the appreciative listening framework in conjunction with uses and gratification theory.…

This study investigated children's cooperative problem solving (CPS) behaviors during play in classrooms and associated influencing factors (school, age, and gender) in a Chinese kindergarten and U.S. early learning center. Four- and five-year-old participants (n = 39) were from one Chinese kindergarten and one U.S. center. They were video…