An effective innovative pedagogy for sexual health education is required to meet the demands of technology savvy digital natives. This study investigates extent which game-based learning (GBL) and gamification could improve adolescent students. We conducted a randomized control trial GBL experimental conditions. made comparison with traditional teaching as condition in order establish differences between three The topics were delivered masked fashion, 40-min week five weeks. A mixed-method...

Previous work on text mining has almost exclusively focused a single stream. However, we often have available multiple streams indexed by the same set of time points (called coordinated streams), which offer new opportunities for mining. For example, when major event happens, all news articles published different agencies in languages tend to cover certain period, exhibiting correlated bursty topic pattern article streams. In general, patterns from can reveal interesting latent associations...

Out-of-class learning with technology comprises an essential context of second language development. Understanding the nature out-of-class is initial step towards safeguarding its quality. This study examined types experiences that learners engaged in outside classroom and influencing factors. Three distinct technological experiences, different incentives emotional behavioral manifestations, were identified based on interview responses 21 university foreign learners. Structural equation...

Emotion is one of the main reasons why people engage and interact with music <xref ref-type="bibr" rid="ref1" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">[1]</xref> . Songs can express our inner feelings, produce goosebumps, bring us to tears, share an emotional state a composer or performer, trigger specific memories. Interest in deeper understanding relationship between emotion has motivated researchers from various areas knowledge for decades...

Integrated photonics provides a promising platform for quantum key distribution (QKD) system in terms of miniaturization, robustness, and scalability. Tremendous QKD works based on integrated have been reported. Nonetheless, most current chip-based implementations require additional off-chip hardware to demodulate states or perform auxiliary tasks such as time synchronization polarization basis tracking. Here, we report demonstration resource-efficient BB84 with silicon-based encoder...

Mood is an emerging metadata type and access point in music digital libraries (MDL) online repositories. In this study, we present a comprehensive investigation of the usefulness lyrics mood classification by evaluating comparing wide range lyric text features including linguistic stylistic features. We then combine best with extracted from audio using two fusion methods. The results show that combining significantly outperformed systems audio-only addition, examination learning curves shows...

In music mood prediction, regression models are built to predict values on several mood-representing dimensions such as valence (level of pleasure) and arousal energy). Many studies have shown that is generally predictable based acoustic features, but these experiments were mostly conducted datasets with homogeneous music. Little research has been done explore the generalizability cross datasets, especially those in different cultures. increasingly global market listening, generalizable...

Drawn to the unique natural and geographical advantages of ecotourism scenic areas, tourists can roam environment and, at same time, promote sustainable development area’s ecology. As a result, has gradually become popular type tourism. Tourists’ perceived authenticity, values, revisit intentions, environmentally responsible behaviors, which are important variables in understanding their cognition have received extensive attention from scholars. However, few studies combined tourists’...

This paper builds upon and extends previous work on multi-modal mood classification (i.e., combining audio lyrics) by analyzing in-depth those feature types that have shown to provide statistically significant improvements in the of individual categories. The dataset used this study comprises 5,296 songs (with lyrics for each) divided into 18 categories derived from user-generated tags taken last.fm. These show remarkable consistency with popular Russell’s model. In seven categories, lyric...

This paper uses a clustered randomised field experiment to explore the effects of computer assisted learning (CAL) programme on student academic and non-academic outcomes in poor, rural public schools China. Our results show that remedial, game-based CAL math held outside regular school hours with boarding students poor improved standardised scores by 0.12 standard deviations. Students from poorer families tended benefit more programme. However, did not have any significant impact either...

This study explored how a group of higher education teachers in China used WeChat to build an online Community Practice (OCoP), which supported their professional learning. A qualitative was designed. Data were collected from multiple sources including interaction excerpts, teachers' reflections, classroom observation, and interviews. The results showed that the participants utilizing teacher created through OCoP for learning terms three dimensions: mutual engagement, joint enterprise,...

Self-regulated learning (SRL) plays a critical role in asynchronous online courses. In recent years, attention has been focused on identifying student subgroups with different patterns of SRL behaviors and comparing their performance. However, there is limited research leveraging traces to detect examine the subgroup differences cognitive load engagement. The current study tracked engagement 101 graduate students SRL-enabling tools integrated into an course. According recorded behaviors,...

This research proposes a framework for music mood classification that uses multiple and complementary information sources, namely, audio, lyric text, social tags associated with pieces. article presents the thorough evaluation of each its components. Experimental results on large data set 18 categories show combining lyrics audio significantly outperformed systems using audio‐only features. Automatic feature selection techniques were further proved to have reduced space. In addition,...

Purpose Digital technology has great potential for educating today’s digitally oriented adolescents on health. In particular, digital health gamified learning can make the promotion of sexual well-being more effective. Although venereal diseases such as HIV/AIDS have become a greater problem in Sub-Saharan African (SSA) countries than any country outside Africa, little is publicly known about development use counter-measures. This paper aims to address that deficit by presenting process...

Effective teaching practice requires that teachers know their students not as ‘faceless average learners’, but individuals. The most individual of learner characteristics is personality, and yet language education research has made little progress in understanding the role personality. As field learning motivation seeks to develop frameworks for motivational practice, a richer learners’ individuality crucial shaping practices respond needs. present study examines personality teachers’...

Abstract Providing coaching to participants in inquiry‐based online discussions contributes developing cognitive presence (CP) and higher‐order thinking. However, a primary issue limiting quality timely is instructors' lack of tools efficiently identify CP phases massive discussion transcripts effectively assess learners' development. This study examined computational approach integrating text mining co‐occurrence analysis for assessing development based on the community inquiry (CoI)...

Abstract Using background music (BGM) during learning is a common behavior, yet whether BGM can facilitate or hinder remains inconclusive and the underlying mechanism largely an open question. This study aims to elucidate effect of self-selected on reading task for learners with different characteristics. Particularly, learners’ performance, metacognition, eye movements were examined, in relation their personal traits including language proficiency, working memory capacity, experience...