According to the Felder and Silverman Learning Styles Model (FSM), students have learning preferences regarding how information is obtained, processed, perceived and understood. The Index of Learning Styles (ILS) is an online questionnaire created by Felder and Soloman to classify students according to their learning styles. With a priori…

Most of the existing classification accuracy indices of attribute patterns lose effectiveness when the response data is absent in diagnostic testing. To handle this issue, this article proposes new indices to predict the correct classification rate of a diagnostic test before administering the test under the deterministic noise input…

Analysis of keystroke logging data is of increasing interest, as evident from a substantial amount of recent research on the topic. Some of the research on keystroke logging data has focused on the prediction of essay scores from keystroke logging features, but linear regression is the only prediction method that has been used in this research.…

Early prediction of academic performance is important for student support. The authors explored, in a multivariate approach, whether pre-entry data (e.g., high school study results, preparative activities, expectations, capabilities, motivation, and attitude) could predict university students' first-year academic performance. Preregistered…

In lexical development, the specificity of phonological representations is important. The ability to build phonologically specific lexical representations predicts the number of words a child knows (vocabulary breadth), but it is not clear if it also fosters how well words are known (vocabulary depth). Sixty-six children were studied in…

Student's academic performance prediction empowers educational technologies including academic trajectory and degree planning, course recommender systems, early warning and advising systems. Given a student's past data (such as grades in prior courses), the task of student's performance prediction is to predict a student's grades in future…

One of the essential problems, in educational data mining, is to predict students' performance on future learning materials, such as problems, assignments, and quizzes. Pioneer algorithms for predicting student performance mostly rely on two sources of information: students' past performance, and learning materials' domain knowledge model. The…

This dissertation research focuses on investigating the incidence of student self-regulated learning behavior, and examines patterns in student affective states that accompany such self-regulated behavior. This dissertation leverages prediction models of student affective states in the Physics Playground educational game platform to identify…

Writing, as a highly complex strategic literacy skill alongside reading, is an essential prerequisite for learning and determines a student's educational success. In diverse contexts, a student's linguistic repertoire may involve multiple languages, which may serve as mutual resources in his or her multilingual writing skill development. Drawing…

Being immersed in the processes of research can develop undergraduate students' science identities and support their persistence in pursuing science careers. However, it can be difficult for students to find opportunities for engaging in authentic scientific research. The professional staff and scientific objects in natural history museums provide…

The few studies about whether parents' implicit theories about ability (ITs) predict their children's academic success and relevant parental behavior have produced mixed results. In response, research suggested that parents' ITs might be more important in contexts that make children's intellectual potential salient. Therefore, we investigated the…

The current study investigates second language acquisition of Chinese object ellipsis to probe the development of features transferred from learners' native language without robust confirming or disconfirming evidence in the second language (L2) input. It is argued that Chinese allows object ellipsis licensed by a verb with a [VCase] feature but…

The present study sets out to measure Turkish EFL learners' receptive affix knowledge and productive derivative vocabulary knowledge. More specifically, the extent to which Turkish EFL learners recognize written form of affixes, know the meaning of affixes and determine the part of speech of the derivatives produced by means of affixes and how…

Research Findings: Multiple factors likely influence the language development of young children growing up in low-income homes, potentially including stressors experienced by parents. Here, we ask: (1) What is the association between stress (i.e., economic hardship and parenting stress) and toddlers' language development? and (2) Does number of…

The acceptance of different technologies in different classroom settings has been addressed in the current study. Integrating alignment theory with the Technology Acceptance Model (TAM), this study investigates the predictive differences between the use and adoption of four technologies. The technologies were used in Islamic study classrooms for…