“I ‘feel’ like I am at university even though I am online.” Exploring how students narrate their engagement with higher education institutions in an online learning environment

This article outlines a collaborative study between higher education institutions in Australia, which qualitatively explored the online learning experience for undergraduate and postgraduate students. The project adopted a narrative inquiry approach and encouraged students to story their experiences of this virtual environment, providing a snapshot of how learning is experienced by those undertaking online studies. The study explores what impacted upon students’ engagement in this environment and how different facets of their learning experience made a qualitative difference to how individuals enacted engagement. Drawing upon Sharon Pittaway’s engagement framework, the article seeks to foreground student voice as the learners define their engagement in learning, the strategies they employed to assist this process and how engagement was enacted at an individual level. The students’ reflections presented in this article can be used to inform teaching and learning strategies designed to improve engagement in the online environment within the higher education sector.     

A new approach to determining net impulse and identification of its characteristics in countermovement jumping: reliability and validity

Examining a countermovement jump (CMJ) force-time curve related to net impulse might be useful in monitoring athletes' performance. This study aimed to investigate the reliability of alternative net impulse calculation and net impulse characteristics (height, width, rate of force development, shape factor, and proportion) and validate against the traditional calculation in the CMJ. Twelve participants performed the CMJ in two sessions (48 hours apart) for test–retest reliability. Twenty participants were involved for the validity assessment. Results indicated intra-class correlation coefficient (ICC) of ≥ 0.89 and coefficient of variation (CV) of ≤ 5.1% for all of the variables except for rate of force development (ICC = 0.78 and CV = 22.3%). The relationship between the criterion and alternative calculations was r = 1.00. While the difference between them was statistically significant (245.96 ± 63.83 vs. 247.14 ± 64.08 N s, p < 0.0001), the effect size was trivial and deemed practically minimal (d = 0.02). In conclusion, variability of rate of force development will pose a greater challenge in detecting performance changes. Also, the alternative calculation can be used practically in place of the traditional calculation to identify net impulse characteristics and monitor and study athletes' performance in greater depth.     

School readiness of moderately preterm children at preschool age

The study investigates the preschool readiness of moderately preterm children and, in particular, the likely presence of learning disabilities at preschool age. Its theoretical model detects linguistic comprehension and expression; memory-related metacognition and cognition skills; orientation and motor coordination skills; premathematics and preliteracy ones. The research project involved an experimental group made up of 55 moderately preterm children (mean age?=?62 months, mean gestational age?=?34.6 weeks), without any clinical neonatal complications, and low birth weight (M?=?2,100 g, SD?=?350 g); a control group made up of 55 full-term children without pre- and perinatal complications. The children’s primary school reference teachers were given a questionnaire (Observative Questionnaire for Early Identification of Learning Disabilities), which was aimed at identifying any likely social and cognitive skill deficits at preschool age. The data, submitted to nonparametric univariate variance, show how scores of moderately preterm children in the metacognition [U _{(n1 e?n2?=?55)}?=?35, p?=?0.04, r?=?0.49] are statistically lower, other cognitive skills (memory, orientation, and visual–motor coordination) [U _{(n1?e?n2?=?55)}?=?32, p?=?0.02, r?=?0.45], premathematics [U _{(n1?e?n2?=?55)}?=?32, p?=?0.02, r?=?0.44], and the total score [U _{(n1?e?n2?=?55)}?=?31, p?=?0.02, r?=?0.12]. Such data would seem to suggest the need for hypothesizing preventive training and educational paths as a prerequisite for the development of the school abilities.     

新学期做点新东西，自制个性日历

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教育工作者在交互式联网状态下的专业性发展

日益发展的互联网可望成为解决教师专业性发展不恰当和不容易做到的有效途径.但仅仅依靠技术是不可能改变教学现状的.以互联网为基础的资源必须与相应的教学活动和教学模式结合起来.这些教学活动和模式支持教师有意识地与新思维相结合,并鼓励其运用于实践,发展学校之间的关系和支持现实的实践交流.……     

Forty ways to survive IL instruction overload; or,how to avoid teacher burnout

Teaching information literacy (IL) sessions can be emotionally exhausting, especially when faced with a heavy instructional workload that requires repeating similar course content multiple times. This article lists forty practical, how-to strategies for avoiding burnout and thriving when teaching.     

Innovation and network multiplexity: R&D and the concurrent effects of two collaboration networks in an emerging economy

This study focuses on the multiplexity of firm R&D networks, and it investigates two types of boundary-spanning networks: the bipartite network between firms and government-sponsored institutions (GSIs), and the traditional firm–firm network. We apply a social network perspective to examine the effects that these kinds of networks have on firm innovativeness, in relation to the effects of the firm’s internal R&D efforts. We define the firm-GSI network as bipartite, and we investigate how the structural characteristics of this network (cohesion and centrality) affect innovativeness. We then decompose the innovational effects of firm–firm networks into two categories (intra- and inter-sector) to distinguish the effects of these collaboration networks. Furthermore, we investigate how these various external collaborative networks interact with a firm’s internal R&D efforts for driving innovativeness. Our empirical study of 420 manufacturing firms in Mexico evaluates evidence from surveys and secondary data. The findings indicate that the structural properties of both firm–GSI and firm–firm networks have positive effects on innovativeness, but firm–GSI network cohesion has a stronger negative interaction with R&D in influencing firm innovativeness. Moreover, intra-sector centrality in a firm–firm network has a stronger negative interaction with R&D than inter-sector centrality does in driving firm innovativeness. We contribute to the literature by integrating insights from the perspectives of network multiplexity, social embeddedness, and resource complementarity in regard to inter-organizational behavior. Our study also provides meaningful guidelines for both managers and policy makers. The study’s findings are robust to concerns of common method bias and alternative model specifications.