Prediction allows learners to adjust behavior toward the future by exploiting information pertaining to the present and the past. Through a field study, we examined whether poor performing students are truly unaware of not knowing their deficiencies as the illusion of knowing (IoK) phenomenon implies. College students' ability to predict their…

Educational Data Mining plays a critical role in advancing the learning environment by contributing state-of-the-art methods, techniques, and applications. The recent development provides valuable tools for understanding the student learning environment by exploring and utilizing educational data using machine learning and data mining techniques.…

Computer adaptive testing is intended to make assessment more reliable by tailoring the difficulty of the questions a student has to answer to their level of ability. Most commonly, this benefit is used to justify the length of tests being shortened whilst retaining the reliability of a longer, non-adaptive test. Improvements due to adaptive…

The article is focusing on aspects related to technology acceptance of LA in the context of school education. A survey that was based on the Technology Acceptance Model was distributed to 98 participants who work as schoolteachers and/or local educational policymakers and are geographically dispersed across two different European countries. The…

The frequency and contextual predictability of words have a fundamental role in determining "where" and "when" the eyes move during reading in both alphabetic and non-alphabetic languages. However, surprising little is known about the how the influence of these variables develops, although this is important for understanding…

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…