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Internationally representative data of middle-aged adults 45 - 65 years old [n(United States) = 2,150; n(Japan) = 2,318; n(South Korea) = 2,800] from the 2012 Program for International Assessment of Adult Competencies were analyzed to examine the roles of education and literacy in relation to the digital divide. Results from survey-weighted binary logistic regressions showed that both educational attainment and literacy were positively associated with all four measures of information and communication technology (use of the computer, email, online information and transaction) use in all three countries. The middle-aged adults in the United States benefited more from the educational attainment than those in Japan, in terms of email and online information use. The middle-aged adults with lower education and basic skills (i.e., literacy) may benefit from the educational intervention and additional information and communication technology training, and in turn, improve the digital divide in later life, regardless of differences in culture and economy.

We contribute to research on social inequalities in educational attainment by examining the role of institutional contexts for students' study abroad (SA) intent and participation. To do so, we extend the individual-level rational choice model predicting SA intent and participation depending on students' socioeconomic status (SES) into a multi-level model emphasizing the importance of context effects. We test our model based on unique micro-level student data, which we supplement with context data. Examining 18,510 students nested in 69 universities, we provide the first in-depth multi-level analyses of SA intent and participation of students from Japan. In line with findings from many Western countries, our results show that higher-SES students are more likely to (intend to) study abroad. Regarding the role of institutional contexts, we find that programs designed to improve SA opportunity structures hardly affect students' SA intent but significantly positively affect SA participation above and beyond other university-level and student-level characteristics. Importantly, both lower- and higher-SES students benefit from favorable SA opportunity structures. These findings suggest that Japan's recent push toward internationalization of higher education has created relevant SA opportunities for students from different social backgrounds. Still, higher-SES students are currently overrepresented among those studying abroad because they are more likely to select into universities offering favorable SA opportunity structures. Our analysis calls for more research combining individual-level with contextual-level theories and data to better understand the conditions shaping SES-specific SA intent and participation.

We present new estimates of the internal rate of return to early childhood education. Utilizing the nationwide expansion of preschool education in Japan between 1960 and 1980, we initially assess the impact of preschool attendance on high school graduation and college enrollment for men. Subsequently, we compute the social rate of return to preschool attendance for men by drawing upon national wage statistics to project expected wage trajectories and referencing government documents to account for the social cost of preschools. Our findings indicate a social rate of return ranging from 5.7% to 8.1%, consistent with previous estimates in the literature.

The purpose of this study is to predict the mathematical literacy levels of the students participating in the research through the data obtained from PISA 2015 exam organized by OECD using data mining and to determine the variables that affect mathematics literacy. For this purpose, students' mathematics literacy levels and the variables that affect their mathematics literacy levels were analyzed separately for 6 different countries at different proficiency levels. The population of the research is 519334 students from 72 countries, who have taken PISA 2015 exam. The sample that was determined according to the purpose of the study consists of a total of 34,565 students from Singapore, Japan, Norway, the USA, Turkey, and the Dominican Republic, which have been observed to be at different proficiency levels. In the first stage of the study, analyzes were performed using data mining prediction methods. At this stage, WEKA program was employed and M5P algorithm, which is one of the most common methods, was used. In the second stage of the research, the output variable was predicted from the input variables using Artificial Neural Networks methods to determine the extent to which decision trees obtained by M5P prediction method produce valid results. In the analyzes carried out in MATLAB program, the relationship between students' actual math literacy scores and literacy scores predicted from input variables was examined. As a result of the study, the variables that affect mathematics literacy were found to be the socio-economic status index for Singapore, Norway, the United States, Turkey, and Dominic. On the other hand, the variables influencing mathematics literacy for Japan were found to be mathematics learning time and father's education level. The consistency of the results was as follows: 86.10% for Singapore, 40.26% for Japan, 30.10% for Norway, 39.15% for America, 26.43% for Turkey, and 29.24 % for Dominic. As a result of the study, a differentiation was found among the variables that affect mathematics literacy of the countries at different proficiency levels.

The purpose of this study was to examine the studies related to augmented reality applications in sports science and to discuss the results based on this. Articles selected for analysis were found through searches journals in the Web of Science database from 1975 to 2018 were examined and searched using the keywords ("physical education" or "physical activity" or "sport$") and ("augmented reality"). As a result of the search, 44 articles were reached, and 11 articles were excluded from the research because they were not related to augmented reality applications or sports science. The publication classification form consists of the titles "Years, Authors Number, Country, Journals, Age, Sample Size, Variables, Sample Method, Research Method, Data Collection Method and Data Analysis Method." There are a limited number of studies where sports and augmented reality technology are used and interacted together. With the spread of the use of augmented reality and similar technologies in the field of sports sciences, it is thought that such fields as health and education will be positively affected.

This study investigated the role of virtual reality (VR) in computer science (CS) education over the last 10 years by conducting a bibliometric and content analysis of articles related to the use of VR in CS education. A total of 971 articles published in peer-reviewed journals and conferences were collected from Web of Science and Scopus databases to conduct the bibliometric analysis. Furthermore, content analysis was conducted on 39 articles that met the inclusion criteria. This study demonstrates that VR research for CS education was faring well around 2011 but witnessed low production output between the years 2013 and 2016. However, scholars have increased their contribution in this field recently, starting from the year 2017. This study also revealed prolific scholars contributing to the field. It provides insightful information regarding research hotspots in VR that have emerged recently, which can be further explored to enhance CS education. In addition, the quantitative method remains the most preferred research method, while the questionnaire was the most used data collection technique. Moreover, descriptive analysis was primarily used in studies on VR in CS education. The study concludes that even though scholars are leveraging VR to advance CS education, more effort needs to be made by stakeholders across countries and institutions. In addition, a more rigorous methodological approach needs to be employed in future studies to provide more evidence-based research output. Our future study would investigate the pedagogy, content, and context of studies on VR in CS education.

With the development of language corpora, linguists have been able to identify how often specific words, phrases, and expressions are used, and in which contexts. However, applications of corpora in the wider domain of language teaching have remained limited. This article presents an approach to utilizing corpora, combining principles from communicative language teaching and data-driven learning, and based on a two-year action-research-based trial of the approach with a monolingual class at a Japanese university. Beginning with learner training in their L1, students learned to analyse concordance lines and were given the opportunity to recontextualize and conceptualize any identified language patterns and features through realistic communicative activities. While challenges remain in relation to the effectiveness of learner training and the preparation of suitable concordance lines, students were found to have increased their fluency and accuracy, and to have made improvements to their speaking confidence and complexity.

This publication seeks to consider statistics education in Japan while referencing a student paper. The paper to be considered is as follows: "Gakusei no Koudou ga Gakusei Seikatsu Manzokudo ni Ataeru Eikyou" (The Influence of Student Behavior on the Degree of Satisfaction Perceived in Student Life).

This article reports the results of a nationwide questionnaire survey of 1,104 Japanese higher education institutions conducted in late 2015 and early 2016. Its goal was to investigate the current status and issues related to the utilization and disclosure of educational information. A total of 248 institutions responded to the survey. Based on the findings of the nationwide survey, this article examines an initiative at Ritsumeikan Asia Pacific University as an emerging case of the preparation of infrastructure and the utilization of educational information. Discussed is how information on higher education is collected and utilized to improve its quality and to promote internal quality assurance. Also examined is the maturational status of the institutional research (IR) function in terms of data utilization in Japanese higher education with reference to the maturity model for IR.

In recent years, teachers' increased workloads have become an issue for policy, and have been multiply pointed out, deriving as they do from peripheral duties such as paperwork, in academic research as well. However, these mentions have not been based on sufficiently solid proof. Here, this paper compares teacher working hours surveys extant from the 1950s-1960s and from the late 2000s, using a general linear model. Results show that it is not necessarily the case that teachers in the late 2000s are spending more time on peripheral duties like paperwork than their 1950s-1960s counterparts, but that the time they spend on educational activities (in particular, extracurricular activities) is longer. [This article was translated by Nadezhda Murray. It was originally published, in Japanese, in "The Japanese Journal of Educational Research" Vol. 82, No.1, 2015.]

For those receiving funding from the UK HEFCE-funded Open Educational Resource Programme (2009-2012), the sustainability of project outputs was one of a number of essential goals. Our approach for the hosting and distribution of health and life science open educational resources (OER) was based on the utilisation of the WordPress.org blogging platform and search engine optimisation (SEO) techniques to curate content and widen discovery. This paper outlines the approaches taken and tools used at the time, and reflects upon the effectiveness of web strategies several years post-funding. The paper concludes that using WordPress.org as a platform for sharing and curating OER, and the adoption of a pragmatic approach to SEO, offers cheap and simple ways for small-scale open education projects to be effective and sustainable.

Considering the great impact the first PISA-results caused in Germany and Japan, this study seeks to provide an explanation for the continuous higher achievement rates of students in the PISA-winner country Japan compared to their German peers. Another great difference between the two participants that was detected in PISA is the correlation between students' social origin and educational achievement, which is still very strong in Germany but not in Japan. The author assumes the reason for these differences lay outside the formal school system, in the sector of shadow education. The so called juku-industry in Japan provides out-of-school lessons that seem to enable all Japanese students to achieve top results regardless of their social origin. In Germany the increased use of Nachhilfe is seen as an indicator for the downfall of the compulsory school system and a problem that seem to widen the gap in education levels all the more. If in Japan almost every household regardless of its social status sends its children to out-of-school classes, the assumption that people do invest in further education in terms of extra classes at juku believing this will have a neutralizing effect on disadvantaged family background suggests itself. Consequently the author intends to refute the prevailing assumption of researchers in Germany and Japan stating that out-of-school lessons just contribute to the reproduction of class structure. Using secondary data as well as PISA-data the author wants to show that shadow education helps to counteract educational disadvantages through the provision of various educational opportunities.

Recent years have seen an upsurge in interest in epistemics/knowledge in interaction (e.g., Heritage, 2012a, 2012b; Stivers, Mondada & Steensig, 2011). Insights from such research are now being used by Second Language Acquisition (SLA) researchers yielding valuable insights into teacher-student interaction (e.g., Sert, 2013) and student-student interaction (e.g., Jakonen & Morton, 2013). The current study, however, tracks how teachers use other teachers as language learning resources. Conversation Analysis (CA) is used to examine English language learning sequences in Japanese high school staffrooms between English L1 and L2 speaker teachers, namely JET Programme Assistant Language Teachers (ALTs) and Japanese teachers of English (JTEs). This study reveals that the relationship between the information request and subsequent provision of help is not a straightforward one. Information requests in this study are particularly lengthy multi-turn collaborative processes that see the use of various interactional tools used and careful epistemic manoeuvring to equip the prospective helper with the knowledge necessary to provide help. This process ends when the recipient is able to provide the necessary information--with a "penny-drop moment" frequently given. This study contributes to a deeper understanding of epistemics in SLA, and adds a layer of complexity to our understanding of epistemics in interaction.

Juxtaposed with the emerging body of literature about datafication in schooling, this paper examines the increasing encroachment of data into the Japanese education system, in particular, the use of data associated with standardised academic assessments for governance purposes. In so doing, we use the Japanese 'case' to expose the possible limits of the existing English-language scholarship on this phenomenon. By providing a contextualised, descriptive account of how data is incorporated into the three layers of Japanese education bureaucracy (municipal, prefectural, national), we call into question the assumed universality of datafication in schooling and its effect as proffered by Anglo-American education policy scholars. Using the Japanese case, the study elucidates the ways in which the particular policy context of the Anglo-American countries, where datafication has been extensively studied, sets certain limits on the existing discussion and leaves underexplored certain questions that might be more relevant to countries and regions beyond Anglo-American education policy contexts.

This systematic review is built on the seminal work by the New London Group in 1996. Few endeavours have synthesized findings of empirical studies pertaining to the effects and challenges of multiliteracies practices in various schooling and geographical contexts. Through a five-point Likert scale and a deductive and inductive thematic analysis, we conducted a systematic review of 66 multiliteracies articles from the ProQuest® database. These studies were empirical, qualitative/mixed-method, and ranged from 2006 to 2015. Findings show a burgeoning number of multiliteracies studies occurring in 15 countries, with Canada being the most prominently involved. Our evaluation of the reviewed studies was generally favourable with strengths identified in researchers' articulation of pertinent theoretical frameworks and connections to existent literature. Our findings refer to insufficient information of data collection and data analysis in a certain number of papers. We also elaborate on major affordances, challenges, and oversights of the multiliteracies practices as reported by the reviewed studies and discuss implications for future multiliteracies research, policies on literacy education, and teacher education in diverse contexts.

In this paper, I discuss how I came to call into question the way in which I interpreted interview data in my dissertation, which investigated the migration and settlement experience of Japanese women who are married to Australian men and reside in Australia. Through critical reflections, I realized the way in which the positionality of researchers and their experience, values, and beliefs may influence interpretation of data. The translation process of the interview data reminded me of the similarity with the data analysis process. I illustrate how such possible impact changed the meaning of data through sharing my reflections.

English-speaking learners of L2 Spanish who were taking part in a four-week study abroad program in Spain and Japanese-speaking learners of L2 English who were individually studying in year-long abroad experiences participated in the present study. Quantitative and qualitative data from language questionnaires and contact profiles along with open-ended responses revealed details on learners' engagement with and use of their languages while abroad. We discuss the findings and their implications for programs, educators and learners.

Seamless learning has been recognized as an effective learning approach across various dimensions including formal and informal learning contexts, individual and social learning, and physical world and cyberspace. With the emergence of seamless learning, the majority of the current research focuses on realizing a seamless learning environment at school or university. However, the utilization of the collected learning logs still remains a challenge yet to be explored. In this study, an e-book with ubiquitous learning system called SCROLL is developed to collect and analyze learning logs in the seamless learning environment. Moreover, this paper presents our analytics in contribution to bridging the learning between e-Book learning and real-life learning. An experiment was conducted to evaluate (1) whether VASCORLL 2.0 (Visualization and Analysis System for Connecting Relationships of Learning Logs) is effective in connecting the words learned through e-Book to those learned from real-life, and (2) which social network centrality is the most effective to enhance learning in the seamless learning environment. Twenty international students participated in the evaluation experiment, and they were able to increase their learning opportunities by using VASCORLL 2.0. Furthermore, the betweenness centrality was found useful in finding central words that bridge e-Book and real-life learning.

In this article, we have examined how historical events shape the research process, even when research is carefully planned and rigorously executed. Through an examination of our experiences conducting international data collection during a three-year SSHRC funded period in which the War on Terrorism and the War in Iraq began, we suggest that social context affects all aspects of every research project, from planning, to funding, to data collection, analysis, and dissemination. History, particularly significant world events, should be re-examined and redefined so that it is no longer understood as a variable that affects poorly planned research, but rather as an integral part of the research design and process. (Contains 2 notes.)

While proof is central to mathematics, difficulties in the teaching and learning of proof are well-recognised internationally. Within the research literature, a number of theoretical frameworks relating to the teaching of different aspects of proof and proving are evident. In our work, we are focusing on secondary school students learning the structure of deductive proofs and, in this paper, we propose a theoretical framework based on this aspect of proof education. In our framework, we capture students' understanding of the structure of deductive proofs in terms of three levels of increasing sophistication: Pre-structural, Partial-structural, and Holistic-structural, with the Partial-structural level further divided into two sub-levels: Elemental and Relational. In this paper, we apply the framework to data from our classroom research in which secondary school students (aged 14) tackled a series of lessons that provided an introduction to proof problems involving congruent triangles. Using data from the transcribed lessons, we focus in particular on students who displayed the tendency to accept a proof that contained logical circularity. From the perspective of our framework, we illustrate what we argue are two independent aspects of Relational understanding of the Partial-structural level, those of universal instantiation and hypothetical syllogism, and contend that accepting logical circularity can be an indicator of lack of understanding of syllogism. These findings can inform how teaching approaches might be improved so that students develop a more secure understanding of deductive proofs and proving in geometry.

Systematic reviews of literature are studies that strategically search for published research on a specific topic in order to synthesize what is known about the topic. This systematic review describes 157 articles on synchronous online learning (SOL) from thirty-four different countries on instructional setting, content areas, participant demographics, research designs, independent and dependent variables, SOL technologies, and data-collection tools.

The purpose of this study is to examine different formats of comment data to predict student performance. Having students write comment data after every lesson can reflect students' learning attitudes, tendencies and learning activities involved with the lesson. In this research, Latent Dirichlet Allocation (LDA) and Probabilistic Latent Semantic Analysis (PLSA) are employed to predict student grades in each lesson. In order to obtain further improvement of prediction results, a majority vote method is applied to the predicted results obtained in consecutive lessons. The research findings show that our proposed method continuously tracked student learning situations and improved prediction performance of final student grades.

The purpose of the study was to examine American and Japanese kindergarteners' views of play. The participants consisted of 44 kindergarteners and their five teachers in the southeastern United States and 50 kindergarteners and their three teachers on Japan's main island. Both groups of children were asked to photograph their views of play and to explain the reasons for their photographs. Teachers were also interviewed about their views of play. Qualitative analysis revealed that children's views of play were associated with interactions with others, preferred environments, and favorite toys/props. Both groups of children photographed outdoors. Only Japanese children photographed toys/props without people while no American children did. Many children's reasons for photographs were descriptive while Japanese children described physical environments, affective states, and favorite toys/props. Only Japanese children's photographs captured toys/props and outdoor environments without people and they gave more detailed explanations for their photographs than did American children.

The constructs of complexity, accuracy and fluency (CAF) have been used extensively to investigate learner performance on second language tasks. However, a serious concern is that the variables used to measure these constructs are sometimes used conventionally without any empirical justification. It is crucial for researchers to understand how results might be different depending on which measurements are used, and accordingly, choose the most appropriate variables for their research aims. The first strand of this article examines the variables conventionally used to measure syntactic complexity in order to identify which may be the best indicators of different proficiency levels, following suggestions by Norris and Ortega. The second strand compares the three variables used to measure accuracy in order to identify which one is most valid. The data analysed were spoken performances by 64 Japanese EFL students on two picture-based narrative tasks, which were rated at Common European Framework of Reference for Languages (CEFR) A2 to B2 according to Rasch-adjusted ratings by seven human judges. The tasks performed were very similar, but had different degrees of what Loschky and Bley-Vroman term "task-essentialness" for subordinate clauses. It was found that the variables used to measure syntactic complexity yielded results that were not consistent with suggestions by Norris and Ortega. The variable found to be the most valid for measuring accuracy was errors per 100 words. Analysis of transcripts revealed that results were strongly influenced by the differing degrees of task-essentialness for subordination between the two tasks, as well as the spread of errors across different units of analysis. This implies that the characteristics of test tasks need to be carefully scrutinised, followed by careful piloting, in order to ensure greater validity and reliability in task-based research.

Joint degree programs have gained popularity in East Asia, due to the growth of transnational higher education in the region since 2000. However, the external quality assurance (QA) and accreditation of joint degree programs is a challenge for QA agencies, as it normally involves the engagement of several institutions and multiple national accreditation procedures. The purpose of this study is to explore current QA approaches to joint degree programs in Europe and East Asia from the perspectives of QA agencies. There are four major findings from the study. First, East Asian countries tend to stipulate national regulations for a joint degree program. Second, an external QA mechanism for joint degree programs has not yet been developed in East Asian nations. Third, the adoption of international accreditation as the popular approach for joint degree programs in business fields in Asia raises the serious issue of national jurisdiction over higher education. Fourth, the European Consortium for Education's (ECA) single accreditation mode is highly recommended by QA agencies.

As part of Japanese Lesson study research focusing on "comparing and describing likelihoods", fifth grade elementary students used real-world data in decision-making. Sporting statistics facilitated opportunities for informal inference, where data were used to make and justify predictions.

Unstructured data in social media is as part of the "big data" spectrum. Unstructured data in Social media can provide useful insights into social phenomena and citizen opinions, both of which are critical to government policy and businesses decisions. Teachers of business intelligence and analytics commonly use quantitative data from sales, marketing, finance and manufacturing to demonstrate various analytics concepts in a business context. However, researchers have seldom used social media data to analyze social behavior and communication. In this study we aim to demonstrate an assessment structure for teaching social media analytics concepts with the goal of analyzing and interpreting social media content. We base this assessment on forum postings regarding two recent events: the Christchurch earthquake in New Zealand, and the Japanese earthquake and tsunami. The aim of the assessment is to discover social insights. We base the assessment structure on Cooper's Analytics Framework to cover such concepts as term frequency (TF), term frequency-inverse document frequency (TFIDF), data visualization, sentiments and opinions analysis, the Nearest Neighbor K-NN classification algorithm, and Information Diffusion theory. We review how the students performed on the assignment that used this assessment, and we make recommendations for future studies.

Worldwide, the interest of policy-makers in participating in studies from the International Association for the Evaluation of Educational Achievement (IEA), such as Trends in International Mathematics and Science Study (TIMSS) has been growing rapidly over the past two decades. These studies offer the opportunity to relate the teaching and learning context to student achievement. This article presents the results of a systematic review of the research literature on TIMSS. Its main purpose is to find out to what extent TIMSS has contributed to insights into "what works in education and what does not", particularly with regard to school and classroom factors. The review was guided by a generic framework developed within the tradition of educational effectiveness research. The review showed that: (a) since 2000, the number of publications which use TIMSS data for secondary analyses aimed at explaining differences in student achievement has increased strongly; (b) a number of studies, especially older ones, did not take account of the specific sample and test design of TIMSS; and (c) there are large differences between countries in school and classroom factors associated with student achievement. In the light of these results, we discuss the benefits and limitations of country and system comparisons. (Contains 5 tables, 1 figure, and 2 notes.)

The purpose of this study was to examine similarities and differences in perspectives of fathering among American, Chinese, Japanese and Swedish in-service and pre-service early childhood teachers. The participants in the quantitative survey consisted of 67 American in-service and 277 pre-service teachers, 118 Chinese in-service and 163 pre-service teachers, 325 Japanese in-service and 350 pre-service teachers, and 105 Swedish in-service and 182 pre-service teachers. Randomly selected participants from these nations also participated in focus-group interviews. The results of this study revealed that fathers' involvement was related to hours of care for both Chinese and Japanese in-service teachers as well as for all four countries' pre-service teachers. Chinese, Japanese and Swedish teachers' perceptions of fathers' involvement were associated with gender equality. The more American, Chinese and Japanese pre-service teachers valued sensitivity of care, the more they considered fathers' involvement to be important. Qualitative data analysis found that the majority of participants valued fathers' involvement and that their cultures clearly influenced their concepts of fathering. (Contains 4 tables.)

Many studies report positive learning experience and improved performance in online collaborative learning. However, such learning can also incur unnecessary or excessive stress with a resultant adverse effect on the learning. This study aimed to determine the stress factors in online collaborative learning as perceived by 226 Japanese university students using English in their online interactions, and to investigate the relationship between the learners' perceptions and these stress factors. It identified four key factors affecting stress in online collaboration: "Self-efficacy," "Instructional Design," "Technology Use" and "Collaborative Process." The implications of this finding for policy-making and practice are discussed and further research in this field is suggested. (Contains 4 tables.)

This study tested societal effects on caregiver/teacher ratings of behavioral/emotional problems for 10,521 preschoolers from 15 societies. Many societies had problem scale scores within a relatively narrow range, despite differences in language, culture, and other characteristics. The small age and gender effects were quite similar across societies. The rank orders of mean item ratings were similar across diverse societies. For 7,380 children from 13 societies, ratings were also obtained from a parent. In all 13 societies, mean Total Problems scores derived from parent ratings were significantly higher than mean Total Problems scores derived from caregiver/teacher ratings, although the size of the difference varied somewhat across societies. Mean cross-informant agreement for problem scale scores varied across societies. Societies were very similar with respect to which problem items, on average, received high versus low ratings from parents and caregivers/teachers. Within every society, cross-informant agreement for item ratings varied widely across children. In most respects, results were quite similar across 15 very diverse societies. (Contains 5 tables and 1 figure.)

We investigated the effects of two types of nonweight-bearing exercise on changes in bone-specific alkaline phosphatase (BAP) and pro-collagen type 1 C-peptide (P1P). BAP is a specific marker of bone synthesis, whereas P1P reflects synthesis of type 1 collagen in other organs as well as bone. Eight participants performed static and dynamic unilateral knee extensions. BAP and P1P were measured before, and at 1, 2, 24, 48, and 72 hr after exercise. P1P increased at 24 hr after a static knee extension exercise, whereas BAP did not change during the experimental period. We found no changes in these markers after dynamic exercise. These results imply that type 1 collagen synthesis in tendons increases after static exercise. (Contains 3 tables and 2 figures.)

This paper reports on the task-based interaction of English as a Foreign Language (EFL) learners in the 3D multiuser virtual environment (MUVE) Second Life. The discussion first explores research on the precursors of MUVEs, text-based 2D virtual worlds known as MOOs. This is followed by an examination of studies on the use of MUVEs in Computer Assisted Language Learning (CALL). The discussion then focuses on an investigation of the Second Life-based text chat of learners located at a university in Japan. Data analysis reveals that the environment, and tasks, elicited types of collaborative interaction hypothesized as beneficial in the sociocultural account of language development. Collaborative interaction identified in the data involved peer-scaffolding focusing on lexis, and correction. The data further showed that the participants actively maintained a supportive atmosphere through the provision of utterances designed to signal interest, and the extensive use of positive politeness. These factors facilitated social cohesion, intersubjectivity, and the consistent production of coherent target language output focused on the tasks. Participant feedback was broadly positive, and indicates that specific features of Second Life such as individual avatars, coupled to the computer-based nature of the interaction, appeared to enhance discourse management, engagement, and participation. The findings suggest that Second Life provides an arena for learner centered social interaction that offers valuable opportunities for target language practice, and the development of autonomy. Areas of potential for future research are identified.

Comprehension assessment is an essential tool in classroom learning. However, the judgment often relies on experience of an instructor who makes observation of students' behavior during the lessons. We argue that students should report their own comprehension explicitly in a classroom. With students' comprehension made available at the slide level, we apply a machine learning technique to classify presentation slides according to comprehension levels. Our experimental result suggests that presentation-based features are as predictive as bag-of-words feature vector which is proved successful in text classification tasks. Our analysis on presentation-based features reveals possible causes of poor lecture comprehension. (Contains 9 tables and 1 figure.)

This article explores project-based cross-cultural and cross-institutional learning. Using Web 2.0 technologies, this project involved more than 240 students and eighteen academic staff from seven international universities. The focus of this article relates to a project-based learning activity named "The Gift". At each institution the students formed small local project teams that were paired with teams of students from one of the other collaborating universities. The findings suggest that the majority of students perceived this activity facilitated their learning, especially in the development of virtual teamwork and communication skills. The article discusses findings related to peer learning in relation to information and communication technologies and cross-cultural communication. It concludes by evaluating the validity of underlying assumptions. (Contains 1 table.)

Background: Statistics are critical in holding governments accountable for the well-being of citizens with disability. International initiatives are underway to improve the quality of disability statistics, but meaningful ID data is exceptionally rare. Method: The status of ID data was evaluated in a review of 12 national statistical systems. Recurring data collection by national ministries was identified and the availability of measures of poverty, exclusion, and disadvantage was assessed. Results: A total of 131 recurring systems coordinated by 50 different ministries were identified. The majority included general disability but less than 25% of the systems screened ID. Of these, few provided policy-relevant data. Conclusions: The scope of ID data was dismal at best, though a significant statistical infrastructure exists for the integration of ID data. Advocacy will be necessary. There is no optimal form of data monitoring, and decisions regarding priorities in purpose, targeted audiences, and the goals for surveillance must be resolved. (Contains 1 figure, 2 tables, and 1 note.)

Results from research about language learners can be strengthened by including the learners themselves in the data analysis, and inviting them to check researcher interpretations to confirm the validity of the data, to search for alternative interpretations, and to delve deeper into their beliefs. Using critical participatory looping (CPL), the authors give compiled results, gathered from surveys or assignments, back to the original participants. They developed CPL based on Freire's (2007/1970) participatory principles and Dewey's (1910) pedagogy of reflective thinking for motivating learners, the four phases of which are experience, description, analysis, and intelligent action. In this article, the authors outline a rationale for practicing CPL and relate it to past research and preexisting teaching methods that they discovered were relevant. They provide two examples of their own research with CPL and discuss how it strengthens the credibility of their interpretations, and how it has increased learner engagement and motivation. (Contains 1 table and 1 figure.)

Using Kuhn and McPartland's approach, 116 Chinese college students were recruited and asked to write as many sentences as possible beginning with "Chinese...," "Americans...," and "Japanese...." The population of sentences consisted of 258 adjectives, of which 96 described Chinese, 53 described Americans, and 109 described Japanese. Next, the first ten adjectives with the highest frequencies describing Chinese, Americans, and Japanese, respectively were selected for the second step of data collection in that students were asked if they would accept these adjectives describing Chinese, Americans, and Japanese. If they did, they were further asked to provide examples or illustrations to support their agreement. Based on the top 30 adjectives and the qualitative data collected at the second step, students' perceptions of Chinese, American, and Japanese were analyzed. The results of the data analysis discovered that Chinese students are, to some extent, stereotyped toward American and Japanese, and their understanding of Chinese people is not accurate, either. The results confirm that media to certain extent are responsible for the shaping of some of the students' stereotypes. Evidently, the results of this study suggest that the Chinese students' stereotypes will affect their intercultural communication with Americans and Japanese. Although this study does not provide tactics on the reduction or elimination of stereotypes in the process of intercultural communication, it provides meaningful clues for future research in how stereotypes may be reduced by way of intercultural contact or training. This research has two major limitations. First, all the subjects are Chinese. Had American and Japanese samples been selected for a comparative investigation, more meaningful and insightful results could have been obtained. Second, because of the space constraints, verbs and nouns were not analyzed. (Contains 3 tables and 1 footnote.)