This is the second article in a series of three in this special issue on establishing a boundary object to foster network health and development. The first article laid out the theoretical rationale for an Improvement Network Health and Development Framework. This article details the efforts to develop a set of practical measures tied to this…

The aim of the paper was to analyse the ways in which collaborative governance appears in the context of lifelong guidance in Finland. The research question was 'What are (in terms of problem-solving, collaborative process and multi-relational accountability) the challenges for collaborative governance of lifelong guidance in Finland?' The…

Social capital is the idea that one's relationships and social networks serve as a form of capital, operating as reciprocal networks of material, financial, social, and emotional resources and support. Social capital can be a powerful concept to help increase people with intellectual and developmental disabilities' (IDD's) inclusion, social ties,…

Purpose: The study aims to investigate the connections and interactions of the melon farmers in the social network related with greenhouse adoption for the cultivation. Design/Methodology/Approach: This research employed the Social Network Analysis (SNA) approach from the field survey data in the dry-land areas in Indonesia. Findings: The study…

This research aimed to develop indicators and approaches for developing innovative leadership of world-class standard school administrators. The research methodology used was a multi-phase mixed method. The research was divided into 4 phases: Phase 1: Development of innovative leadership indicators by studying documents and research related to…

The fluency task, which involves lexical retrieval from a categorical or thematic prompt, has been a crucial paradigm in studies about lexicon in bilingualism and additional languages. Particularly, there has been a very productive cognitive turn towards analytical models based on the exploration of the cognitive processes underlying the mental…

The share of international students studying in traditionally major hosts fell from 63% in 1999 to 40% by 2019, while the shares of other countries grew. What are the primary factors behind the broadening of international education? I extend the small literature on the flow of international students into non-OECD countries by better measuring…

Promoting continuous learning behavior is a key challenge for online learning. The present paper empirically examines the effects of course network characteristics including course network size, course network diversity, and course strong ties on continuance behavior, considering the moderating impacts of social learning and social exposure.…

Background: There is a growing emphasis on integrating engineering design into K-12 science, technology, engineering, and mathematics (STEM) education. Prior studies have primarily examined the impact of engineering design on student learning outcomes or employed frequency-based static statistical analyses, rather than focusing on student learning…

Despite the ubiquity of variation in child development within individuals, across groups, and across tasks, timescales, and contexts, dominant methods in developmental science and education research still favor group averages, short snapshots of time, and single environments. The Learning Variability Network Exchange (LEVANTE) is a framework…

Studying the networked nature of social and cognitive aspects of learner interactions is the key to understanding how successful collaborative learning occurs in asynchronous online discussion forums (AODFs). Guided by network science and multiplex network analysis, this study compared the differences of network structure and properties between…

Online discussion research has mainly been conducted using case methods. This article proposes a method for comparative analysis based on network metrics such as information entropy and global network efficiency as more holistic measures characterizing social learning group dynamics. We applied social learning optimization analysis of networks…

With the growing attention to the effective use of social network analysis in explaining student learning in STEM (science, technology, engineering, and mathematics) education, the authors explore why college students share knowledge and how they achieve their learning in a laboratory class. In particular, the authors investigate how the social…

Learning analytics (LA) has become an increasingly active field focusing on leveraging learning process data to understand and improve teaching and learning. With the explosive growth in the number of studies concerning LA, it is significant to investigate its research status and trends, particularly the thematic structure. Based on 3900 LA…

Social network analysis (SNA) is increasingly viewed as a contributing methodology to program evaluation to examine the complexities of social programs and interrelationships within the program networks. Despite the growing literature on the topic, more knowledge is needed to understand how, when, and under what conditions social network analysis…