One of the major objectives of precision education is to improve prediction of educational outcome. This study combined theory-driven and data-driven approaches to address the limitations of current practice of predicting learning outcomes only using a single approach. The study identified the online learning patterns by using students'…

This study analyzed students' online assignment submission behaviors from the perspectives of temporal learning analytics. This study aimed to model the time-dependent changes in the assignment submission behavior of university students by employing various machine learning methods. Precisely, clustering, Markov Chains, and association rule mining…

In this commentary to Westergaard (2021), we focus on two main questions. The first, and most important, is what type of L3 data may be construed as supporting evidence--as opposed to a compatible outcome--for the Linguistic Proximity Model. In this regard, we highlight a number of areas in which it remains difficult to derive testable predictions…

Game-based learning environments are designed to provide effective and engaging learning experiences for students. Predictive student models use trace data extracted from students' in-game learning behaviors to unobtrusively generate early assessments of student knowledge and skills, equipping game-based learning environments with the capacity to…

The relationship between handwriting and instant message (IM) frequency has not been studied in English and the reason may be related to the similar cognitive process of typing IM and handwriting words. The mental processes of producing both handwriting and typing English words are from semantics to phonology and orthography. However, the…

"Pulse of the Profession," published by Project Management Institutes (2017), reported that failed projects always lacked (a) clearly defined objectives to measure progress and (b) poor communication between team members. Minimizing communication costs and maximizing trust levels are essential to improve the efficiency of team…

Massive open online courses (MOOCs) provide numerous open-access learning resources and allow for self-directed learning. The application of big data and artificial intelligence (AI) in MOOCs help comprehend raw educational data and enrich the learning process for students and instructors. Thus, we created two deep neural network models. The first…

This study investigated connectedness-oriented behaviours during mother-child interaction and their associations with children's later school adjustment in China. One hundred and ten children, 50 boys and 60 girls, about 2 years old and their mothers took part in the original observation. Ninety-two children, 44 boys and 48 girls, of the original…

The General Biology-Measuring Achievement and Progression in Science (GenBio-MAPS) assessment measures student understanding of the "Vision and Change" core concepts at the beginning, middle, and end of undergraduate biology degree programs. Assessment coordinators typically administer this instrument as a low-stakes assignment for which…

We propose that negative clauses are generally interpreted as if the affirmative portion of the clause is under discussion, a likely topic. This predicts a preference for affirmative (topical) antecedents over negative antecedents of a following missing verb phrase (VP). Three experiments tested the predictions of this hypothesis in sentences…

Bayesian knowledge tracing model (BKT) is a typical student knowledge assessment method. It is widely used in intelligent tutoring systems. In the standard BKT model, all knowledge and skills are independent of each other. However, in the process of student learning, they have a very close relation. A student may understand knowledge B better when…

This study investigated role of the self-directed learning skills, metacognitive awareness, and 21st century skills and competences in predicting readiness for online learning during the COVID-19 pandemic. 21st Century Skills and Competences Scale, Self-Directed Learning Skills Scale, Metacognitive Awareness Inventory, and Readiness for Online…

The acquisition of verb morphology is often studied using categorical criteria for determining the productivity of a morpheme. Applying this approach to Japanese, an agglutinative language, this study finds no consistent order for morpheme acquisition and that productivity could be explained by sampling effects. To examine morpheme acquisition…

The purpose of this research was to examine how teachers' level of engagement might predict their likelihood of leaving their current positions. This study used cross-sectional survey data gathered on 188 elementary school teachers. A multiple mediation model was used to examine the effects of organizational (individual-level climate,…

This longitudinal study aimed to determine changes in students' predictive reasoning across one year. Forty-four Australian students predicted future temperatures from a table of maximum monthly temperatures, explained their predictive strategies, and represented the data at two time points: Grade 3 and 4. Responses were analysed using a…