In a novel version of the classic dot-pattern prototype-distortion paradigm of category learning, Homa et al. (2019) tested a condition in which individual training instances never repeated, and observed results that they claimed severely challenged exemplar models of classification and recognition. Among the results was a dissociation in which…

Due to the precautionary measures during the COVID-19 pandemic many universities offered unproctored take-home exams. We propose methods to detect potential collusion between students and apply our approach on event log data from take-home exams during the pandemic. We find groups of students with suspiciously similar exams. In addition, we…

This study evaluates the effectiveness of a dialogic reading picture book intervention on preschoolers' repeating patterning ability. Ninety-four children age 4 years 1 month to 6 years 8 months (M[subscript age] = 5 years 0 months) were randomly assigned to intervention (n = 46) or active control (n = 48) conditions. Well-trained university and…

Triggered situational interest in introductory courses can encourage student engagement, motivation, and value for the geosciences. In-person labs have traditionally played a unique role in triggering situational interest compared to lectures, but the COVID transition online disrupted these dynamics. We examine students' self-reported situational…

This paper examines the relationship between early childhood music and maths. The emphasis is on children as intuitive pattern makers as they explore, categorise and imagine their worlds. We argue for the careful listening of childhood languages and reason that music and maths are expressive languages that young children use to investigate and…

Research on the acquisition of American Sign Language (ASL) by deaf autistic children has documented similarities to the linguistic profile of hearing children on the autism spectrum and has identified sign-specific phenomena that could serve as clinical markers of autism in the deaf population. However, the acquisition of a signed language by…

In this article, the author offers a perspective on why humans like music and what it means for music education. The author builds his discussion around the following five basic premises: (1) since the dawn of civilization, humans have used their voices and the musical instruments they invented to express emotions in sounds that vary in pitch,…

The purpose of this study was to explicate one preservice middle grades mathematics teacher's Knowledge of Content and Students (KCS) in the context of multiple solution strategies. This study's purpose is to underline the importance of preservice teachers' KCS and provide possible investigative methods for evaluating preservice teachers' KCS.…

Although hypothetical learning trajectories (HLTs) are often viewed as a valuable instructional tool, little research has directly evaluated their value. A basic assumption of HLTs is that ordering instructional activities by developmental difficulty enhances learning. A randomized control trial (RCT) served to evaluate this assumption with a…

Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze and predict students' failure,…

Programming skills (PS) are indispensable abilities in the information age, but the current research on PS cultivation mainly focuses on the teaching methods and lacks the analysis of program features to explore the differences in learners' PS and guide programming learning. Therefore, the purpose of this study aims to explore horizontal…

Attrition is one of the main concerns in distance learning due to the impact on the incomes and institutions reputation. Timely identification of students at risk has high practical value in effective students' retention services. Big Data mining and machine learning methods are applied to manipulate, analyze, and predict students' failure,…

We reviewed studies on recognition technologies published in the last ten years. This review study was aimed toward identifying, appraising, selecting, and synthesizing all high quality research evidence published in the literature related to recognition technologies and on determining how they can assist learning and instruction. This study…

Sign language is considered as the important communication means among the normal people and the deaf. Therefore, developing communication systems to help those people is an important issue. In this paper, the neutrosophic technique and fuzzy c-means are applied to detect and recognize the alphabet Arabic sign language. The proposed system starts…

The early detection of students' academic performance or final grades helps instructors prepare their online courses. In the Open University Learning Analytics Dataset, I found many online students clicked the course materials before the first day of class. This study aims to investigate how data mining models can use this student interaction data…