Personalization is crucial for achieving smart learning environments in different lifelong learning contexts. There is a need to shift from one-size-fits-all systems to personalized learning environments that give control to the learners. Recently, learning analytics (LA) is opening up new opportunities for promoting personalization by providing…

Inequality in the shadow? Cross-national comparisons of the effects of additional instruction on math and science performance based on PISA 2018 data Background Many educational systems worldwide are experiencing a growing demand for shadow education, which often takes the form of outside-school educational activities such as private tutoring…

Driven by the increased availability of Learning Management System data, this study explored its value and sought understanding of student behaviour through the information contained in activity level log data. Specifically, this study examined analytics data to understand students' engagement with online videos. Learning analytics data from the…

In this paper, we show how data mining algorithms (e.g. Apriori Algorithm (AP) and Collaborative Filtering (CF)) is useful in New Social Network (NSN-AP-CF). "NSN-AP-CF" processes the clusters based on different learning styles. Next, it analyzes the habits and the interests of the users through mining the frequent episodes by the…

The acquisition of early literacy skills prior to school can positively influence later educational outcomes. However, children from culturally and economically disadvantaged backgrounds often lack stimulating educational activities at home. This analysis provides empirical evidence for 31 education systems on the association between parental…

Given growing interest in K-12 data and data science education, new approaches are needed to help students develop robust understandings of and familiarity with data. The model of the "quantified self"--in which data about one's own activities are collected and made into objects of study--provides inspiration for one such approach. By…

This paper discusses Multi-Feature Hierarchical Sequential Pattern Mining, MFH-SPAM, a novel algorithm that efficiently extracts patterns from students' learning activity sequences. This algorithm extends an existing sequential pattern mining algorithm by dynamically selecting the level of specificity for hierarchically-defined features…

This paper presents three multimodal learning analytic approaches from a hands-on learning activity. We use video, audio, gesture and bio-physiology data from a two-condition study (N = 20), to identify correlations between the multimodal data, experimental condition, and two learning outcomes: design quality and learning. The three approaches…

Since MOOC is suffering high dropout rate, researchers try to explore the reasons and mitigate it. Focusing on this task, we employ a composite model to infer behaviors of learners in the coming weeks based on his/her history log of learning activities, including interaction with video lectures, participation in discussion forum, and performance…

Purpose: The purpose of this paper is to explore how self-employed entrepreneurs commit themselves to an entrepreneurship training programme and how such commitment relates to their perceptions of learning. Design/methodology/approach: The data were collected through qualitative, inductive methods by interviewing and observing six entrepreneurs…

The English Language Arts Common Core State Standards and corresponding assessments brought about many changes for educators, their literacy instruction, and the literacy learning of their students. This study examined the day-to-day literacy instruction of two primary grade teachers during their first year of full CCSS implementation. Engestr?m's…

The purpose of this study was to examine the difference between students' scores in comprehension (English Language Arts) tests when they are led in Brain Gym® activities before class instruction and when they are taught using traditional teaching strategies. The sample for this study consisted of 11 males and 9 females. Data were collected by…

Literacy remains an area of concern in early secondary education in Scotland (ages 12-14), with recent research suggesting a continued decline in attainment levels. As literacy underpins learning, interdisciplinary and collaborative approaches to teaching literacy are now being emphasized through the new Curriculum for Excellence that aims to…

Science teachers and graduate students have developed activities and assessment tools that begin to help students make the distinction between data and evidence. Two activities are covered in this article. (Contains 1 resource and 2 figures.)

LOCO-Analyst is a learning analytics tool we developed to provide educators with feedback on students learning activities and performance. Evaluation of the first version of the tool led to the enhancement of the tool's data visualization, user interface, and supported feedback types. The second evaluation of the improved tool allowed us to see…