A wide variety of media can be used in learning, including distance learning, such as print, lectures, conference sections, tutors, pictures, video, sound, and computers. Any one instance of distance learning will make choices among these media, perhaps using several.

Multimedia in Learning

人教版高中英语新课程教材中,语言运用（Using Language）是每个单元必不可少的部分,提供了围绕单元中心话题的听、说、读、写的综合性练习,是单元中心话题的延续和升华.如何设计Using Language部分的教学,使自己的教学模式既不落俗套,又能真正体现新课程标准所倡导的教学理念,正是广大一线英语教师一直努力探索的问题.

打磨Using Language,倡导新理念

Nonparametric data from multi-factor experiments arise often in human-computer interaction (HCI). Examples may include error counts, Likert responses, and preference tallies. But because multiple factors are involved, common nonparametric tests (e.g., Friedman) are inadequate, as they are unable to examine interaction effects. While some statistical techniques exist to handle such data, these techniques are not widely available and are complex. To address these concerns, we present the Aligned Rank Transform (ART) for nonparametric factorial data analysis in HCI. The ART relies on a preprocessing step that "aligns" data before applying averaged ranks, after which point common ANOVA procedures can be used, making the ART accessible to anyone familiar with the F-test. Unlike most articles on the ART, which only address two factors, we generalize the ART to N factors. We also provide ARTool and ARTweb, desktop and Web-based programs for aligning and ranking data. Our re-examination of some published HCI results exhibits advantages of the ART.

/pdf/the-aligned-rank-transform-for-nonparametric-factorial-1x4f7oga76.pdf

The aligned rank transform for nonparametric factorial analyses using only anova procedures

The study reported here examines the English language knowledge and performance of bilingual school children of Middle School age in Britain, in particular their acquisition and use of vocabulary. One of the chief premises of the research is that pupils from bilingual minority ethnic backgrounds suffer a major disadvantage while learning from the National Curriculum because they lack the necessary richness of word knowledge, accompanied by the conceptual frameworks expected in learning subjects such as science and geography. Furthermore, it is believed that by raising awareness among teachers and by the adoption of appropriate methods of vocabulary teaching founded on research, the vocabulary learning of bilingual pupils can be greatly increased. The aim of the study is to identify, describe and evaluate methods of vocabulary instruction currently used and to provide recommendations for suitable methods to be introduced. By means of an action research methodology implemented in a middle school, and with the joint participation of some members of staff and some pupils, classroom data was collected over a two and a half year period from teachers of science, geography and English and their pupils, supplemented with semi-structured interviews with teachers and support staff and conversations with children. These data provided material for a detailed analysis of exactly how individual words develop from first introduction into the pupils’ active vocabulary.

Teaching and Learning Vocabulary

An intelligent automated assistant system engages with the user in an integrated, conversational manner using natural language dialog, and invokes external services when appropriate to obtain information or perform various actions. The system can be implemented using any of a number of different platforms, such as the web, email, smartphone, and the like, or any combination thereof. In one embodiment, the system is based on sets of interrelated domains and tasks, and employs additional functionally powered by external services with which the system can interact.

Intelligent Automated Assistant

Eco-feedback technology provides feedback on individual or group behaviors with a goal of reducing environmental impact. The history of eco-feedback extends back more than 40 years to the origins of environmental psychology. Despite its stated purpose, few HCI eco-feedback studies have attempted to measure behavior change. This leads to two overarching questions: (1) what can HCI learn from environmental psychology and (2) what role should HCI have in designing and evaluating eco-feedback technology? To help answer these questions, this paper conducts a comparative survey of eco-feedback technology, including 89 papers from environmental psychology and 44 papers from the HCI and UbiComp literature. We also provide an overview of predominant models of proenvironmental behaviors and a summary of key motivation techniques to promote this behavior.

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The design of eco-feedback technology

Software applications continue to grow in terms of the number of features they offer, making personalization increasingly important. Research has shown that most users prefer the control afforded by an adaptable approach to personalization rather than a system-controlled adaptive approach. No study, however, has compared the efficiency of the two approaches. In a controlled lab study with 27 subjects we compared the measured and perceived efficiency of three menu conditions: static, adaptable and adaptive. Each was implemented as a split menu, in which the top four items remained static, were adaptable by the subject, or adapted according to the subject's frequently and recently used items. The static menu was found to be significantly faster than the adaptive menu, and the adaptable menu was found to be significantly faster than the adaptive menu under certain conditions. The majority of users preferred the adaptable menu overall. Implications for interface design are discussed.

/pdf/a-comparison-of-static-adaptive-and-adaptable-menus-4aerl6kzwr.pdf

A comparison of static, adaptive, and adaptable menus

From an accessibility perspective, voice-controlled, home-based intelligent personal assistants (IPAs) have the potential to greatly expand speech interaction beyond dictation and screen reader output. To examine the accessibility of off-the-shelf IPAs (e.g., Amazon Echo) and to understand how users with disabilities are making use of these devices, we conducted two exploratory studies. The first, broader study is a content analysis of 346 Amazon Echo reviews that include users with disabilities, while the second study more specifically focuses on users with visual impairments, through interviews with 16 current users of home-based IPAs. Findings show that, although some accessibility challenges exist, users with a range of disabilities are using the Amazon Echo, including for unexpected cases such as speech therapy and support for caregivers. Richer voice-based applications and solutions to support discoverability would be particularly useful to users with visual impairments. These findings should inform future work on accessible voice-based IPAs.

"Accessibility Came by Accident": Use of Voice-Controlled Intelligent Personal Assistants by People with Disabilities

The lack of tactile feedback on touch screens makes typing difficult, a challenge exacerbated when situational impairments like walking vibration and divided attention arise in mobile settings. We introduce WalkType, an adaptive text entry system that leverages the mobile device's built-in tri-axis accelerometer to compensate for extraneous movement while walking. WalkType's classification model uses the displacement and acceleration of the device, and inference about the user's footsteps. Additionally, WalkType models finger-touch location and finger distance traveled on the screen, features that increase overall accuracy regardless of movement. The final model was built on typing data collected from 16 participants. In a study comparing WalkType to a control condition, WalkType reduced uncorrected errors by 45.2% and increased typing speed by 12.9% for walking participants.

https://faculty.washington.edu/wobbrock/pubs/chi-12.02.pdf

Leah Findlater

Papers

The aligned rank transform for nonparametric factorial analyses using only anova procedures

The design of eco-feedback technology

A comparison of static, adaptive, and adaptable menus

"Accessibility Came by Accident": Use of Voice-Controlled Intelligent Personal Assistants by People with Disabilities

WalkType: using accelerometer data to accomodate situational impairments in mobile touch screen text entry