Learning outcomes can be predicted with machine learning algorithms that assess students' online behavior data. However, there have been few generalized predictive models for a large number of blended courses in different disciplines and in different cohorts. In this study, we examined learning outcomes in terms of learning data in all of the…

ICAP is a framework that classifies learning processes based on students' explicit behaviors. The framework is developed for testing the hypothesis that interactive exercises are better than constructive exercises, and active exercises are better than the passive exercises for higher cognitive engagement and better learning outcomes. The ICAP…

This study was conducted to compare the efficacy of Lecture-Based-Learning (LBL) and Cooperative-Learning (CL) in teaching 'classification of living things' to Senior High School (SHS) students in Tamale, Northern Region, Ghana. The study was conducted in two SHSs using two science classes offering Biology during the 2020-2021 academic year. A…

Despite numerous studies about language learning strategies (LLSs), many learners still misunderstand their effectiveness, thinking they require too much effort for minimal gain. Additionally, students have varied and conflicting preferences for LLSs, and factors like cultural background influence their choices, indicating a need for more research…

Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…

Learning Analytics is concerned with the use of data collected in educational settings to support learning processes. We take a Learning Analytics approach to study the use of immediate feedback in digital classification tasks in mathematics. Feedback serves as an opportunity for learning, however its mere existence does not guarantee its use and…

In classification learning of artificial stimuli, participants learn the perfectly diagnostic dimension better than the partially diagnostic dimensions. Also, there is a strong preference for a unidimensional categorization based on the perfectly diagnostic dimension. In a different experimental procedure, called array-based classification task,…

This study investigated successful EFL (English as a Foreign Language) students' learning strategies in Chinese universities and explored the classification system of English learning strategies, to guide EFL students how to learn English. A total of 24 successful English majors and non-English majors in Chinese universities were interviewed about…

For nearly half a century now, Garner interference has been serving as the gold standard measure of dimensional interaction and selective attention. But the mechanisms that generate Garner interference are still not well understood. The current study proposes a novel theory that ascribes the interference (and dimensional interaction in general) to…

Even though past research suggests that visual learning may benefit from conceptual knowledge, current interventions for medical image evaluation often focus on procedural knowledge, mainly by teaching classification algorithms. We compared the efficacy of pure procedural knowledge (three-point checklist for evaluating skin lesions) versus…

This paper introduces AMMORE, a new dataset of 53,000 math open-response question-answer pairs from Rori, a mathematics learning platform used by middle and high school students in several African countries. Using this dataset, we conducted two experiments to evaluate the use of large language models (LLM) for grading particularly challenging…

As many students worldwide receive second language (L2) English private tutoring (EPT) that shadows school curricula, examining student perceptions of it is essential to understanding their L2 learning. From the L2 Motivational Self perspective, students' "ideal L2 self," "ought-to L2 self" and "L2 learning…

This paper explores and compares the language learning strategies of high and low performing second language (L2) learners participating in peer tutoring. The participating learners were grouped into high and low performing learners based on their scores in English second language. The classification of strategies by Griffiths into base, core and…

This article investigates entrepreneurial marketing (EM) and use of business recovery frameworks within experiential learning cycles (ELC)s to investigate post-COVID learning techniques during the learning process. Three distinct post-graduate learner cohorts took part in the study consisting of part-time MBA entrepreneurs from the United Kingdom,…

While studies have shown that additional language (Lx) learners build on knowledge of previously acquired languages (Ringbom 2007), the natural interaction between languages is rarely exploited in Lx classrooms. This study explores the nature of metalinguistic reflections and crosslinguistic connections during plurilingual consciousness-raising…