1. Interaction. The interactions learners have with each other build interpersonal skills, such as listening, politely interrupting, expressing ideas, raising questions, disagreeing, paraphrasing, negotiating, and asking for help. 2. Interdependence. Learners must depend on one another to accomplish a common objective. Each group member has specific tasks to complete, and successful completion of each member’s tasks results in attaining the overall group objective.

将“Cooperative Learning”融入课堂——浅谈英语素质教育

第１章 ＧＥＭ調査の概要（分析の枠組み；調査方法；起業活動の定義；起業活動率；起業活動と経済成長；起業の計画と失敗） 第２章 起業家と事業特性（起業家の背景；起業家の能力；事業特性；起業家教育） 第３章 起業の環境（社会的資源；起業家に対する評価；経済危機の影響；起業活動の投資環境） 第４章 専門家調査（資金調達；政府の方針；支援プログラム；教育システム；技術移転；コマーシャル・サービス；起業文化；事業機会；経営能力；起業家に対する評価；女性への支援；急成長への注目；イノベーションへの関心；調査結果） 第５章 政策への提

起業と経済成長 : global entrepreneurship monitor調査報告

by J. Biggs and C. Tang, Maidenhead, England,
Open University Press, 2007, 360 pp., £29.99, ISBN-13: 978-0-335-22126-4

Teaching for quality learning at university

Enhancing Adult Motivation to Learn: A comprehensive guide for teaching all adults

A fear from Technological Advances mainly automation and artificial intelligence (AI) has been raised since the beginning of the 21 st century, that machines will eliminate human beings performing certain tasks. Several models were developed to measure the effect of the Automation & AI on the employment and was applied on several countries. The first model was developed by Carl Benedikt Frey and Michael A. Osborne was called An Occupation-Based Approach, 2013. In which they define several tasks and call it “Engineering-Bottlenecks”. Katharina Dengler, Britta Matthes and Wiebke Paulus, 2014 made The Occupational Tasks model in which they use the assignment of activities explained by Alexandra Spitz-Oener and categorize the non-automatable tasks as: analytical non-routine tasks, interactive non-routine tasks. The last model was A-Task Based Approach by Melanie Arntz, Terry Gregory, 2016 in which they argue that FO Model Ignore that, the occupations consist of many tasks, part of them can be automated and another part cannot be. These models were applied on the level of the countries but not on corporate levels. The purpose of this paper is to combine the above three models and applying them on the Mobile operators in Egypt to determine the effect of Automation and AI on the Employment there, taking into consideration the incremental risk from COVID-19 which influenced the humanity. The conclusion of this research is that 41% of the staff working in the Technology field on the mobile operators, their jobs are subject to automation and COVID-19 will make an incremental Risk of 8%, due to creation of efficiency on performing the un-automatable tasks from home through digital platforms.

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The New Era of Digital Transformation and COVID-19 Effect on The Employment in Mobile Operators in Egypt

The literature has widely covered the factors that determine the success of entrepreneurial ventures from financial and organizational perspectives. This study intends to tackle how the Financial Capital, the Human Capital, the Social Capital, and the Psychological Capital of the Entrepreneur affect Entrepreneurial Success. Despite that the Financial, Human, and Social Capitals are extensively examined in the literature as they relate to entrepreneurial success, this paper will add the psychological capital of the entrepreneur and examine its effect on entrepreneurial success in Egypt. This study aimed to investigate the effect of Financial Capital, Human Capital, Social Capital, and Psychological Capital on Entrepreneurial Success using a cross-sectional survey. Respondents were the owners and founders of small and medium enterprises (SMEs) in Cairo, Egypt. The results revealed that Social Capital and Psychological capital had a statistical significance as well as a positive strong relationship with Entrepreneurial success, while the Financial Capital and the Human Capital had statistical insignificance as well as a positive weak to a very weak relationship with Entrepreneurial success respectively. The study findings suggested that entrepreneurial success is strongly connected to the intangible resources of the entrepreneur, which are Social Capital and Psychological Capital, and that the Psychological Capital had the highest impact on Entrepreneurial success. However, the impact of the Financial Capital and Human Capital on Entrepreneurial Success was statistically insignificant.

/pdf/how-does-the-entrepreneurs-financial-human-social-and-1o4rj8zuh6.pdf

How Does the Entrepreneurs’ Financial, Human, Social and Psychological Capitals Impact Entrepreneur’S Success?

Standalone electronic personal health record can be a useful tool that enables individuals to store, arrange and share their health information easily and they can build a history of their health timeline which is crucial for raising healthcare quality and better self-management, the adoption rate of these applications has been identified in several countries to be low and slowly progressing. Although there are some applications of standalone ePHR available in the market for usage free of charge but it’s almost not adopted at all, this study will investigate some of the factors that might affect the adoption of ePHR technology by adults in Egypt and provide business professionals a better picture for what can motivate or hinder the adoption process to achieve better adoption rates and eliminate the barriers. In order to ensure a comprehensive contextual analysis, researchers analyzed the research in hand with the perspective of the proposed contextual framework, the Nine Elements Framework/Model (Elsafty, 2018) that analyzes social studies research in general, and business/management reseaerches as well. Using the nine elements framework, the authors used it to discover the underlying factors that are causing the problems faced by the research in hand, and resulted in the coming contextual analysis defining the research scope and focus, which in the case of this paper is on Perceived usefulness and perceived ease of use were adapted from TAM that was initially developed by Fred Davis (1989) and they proved to have a high predictive power of behavioral intention in CHI context, The extensions of TAM including UTAUT & UTAUT2 seems to be irrelevant to this research context since UTAUT is more oriented towards the organizational context (Venkatesh et al., 2012) and UTAUT2 added factors, Price value seems to be irrelevant in this research context as we are already studying platforms that are provided free of charge, Hedonic motivation maybe irrelevant to this context as healthcare related service is mostly associated with seriousness and urgency, also testing unimplemented platforms that are not yet adopted makes from the habit unrealistic experience that may be inaccurate to measure. Since other several researches recommended extending these factors with other additional factors to make it more relevant to the healthcare consumer context (Kim & Park, 2012), these factors may include health-related factors, technology-related factors and personal-related factors. Findings in this research revealed that adoption rate in Egypt is still very low and high demand for this service which makes this research is significant as it’s trying to find out the reasons behind this gap, perceived usefulness, perceived ease of use, (privacy and security), eHealth literacy, personalization and awareness had a significant impact on behavioral intention to use standalone ePHR applications. Personalization was found to have the strongest effect on behavioral intention followed by perceived usefulness. Health status was found to have an insignificant effect on behavioral intention which indicates the interest of people with different health statuses in standalone ePHR.

/pdf/factors-affecting-the-behavioral-intention-to-use-standalone-4tu43a6wd4.pdf

Factors Affecting the Behavioral Intention to Use Standalone Electronic Personal Health Record Applications by Adults in Egypt

Over the past decades, Learning & Development has become an area of growing interest and constant research. As a result, there is an abundance of studies and models that target the development of educators. However, the professional development of educators should be built on a comprehensive framework of research-based instructional strategies that help train them on how to understand, experience, practice and leave a sustainable impact on learners. This paper presents our own “FIRST Framework”, a holistic framework designed on the basis of renown models and theories, such as: experiential learning; Gamification and game-based learning; facilitative learning, 6Ds model, positive psychology, experience economy and neuroscience. It is an engaging framework that helps educators bridge theory and practice to create high-quality learning environment in their classrooms. FIRST Framework consists of 5 domains with 15 principles that help leave sustainable impact on learners through promoting Active Deep Learner Experience.

/pdf/first-framework-design-and-facilitate-active-deep-learner-292rt8szkc.pdf

FIRST Framework Design and Facilitate Active Deep Learner eXperience

A total of 4889 birth weight (BW) records on calves of 1609 Friesian cows in Sakha experimental farm were collected between 1975 and 2020 year. The analytical model included the fixed effects of the parity, calving year and season, age at first calving, gestation period length and calf sex. Variance components, heritabilities, direct maternal correlations and breeding values (BV) were estimated using VCE6 program . Genetic trends of calves BW were evaluated by regressing BV on years of calving using GLM process of SAS software. Results showed highly (P≤ 0.001) significant effects of all studied fixed effects on BW. Direct (h 2a ), sire (h 2s ), maternal (h 2m ) and total (h 2t ) heritabilities and direct maternal correlations (r am ) estimates were 0.01, 0.10, 0.05, 0.09 and 0.01, respectively. Estimated BVs of calves, sires and dams ranged from -6.71 to 6.84, -6.04 to 4.38 and -7.29 to 8.86 kg, respectively. Range of BVs for dams was higher than for sires and calves, but the accuracy of calves BVs were higher than others. The genetic trend was not different from zero showing no indication of change in the genetic merit of BW in this farm during the period of study.Dam selection proved to be important for inducing high genetic progress in BW during the subsequent generation. Moreover, BV estimates of calves BW achieved higher accuracy ranging from 0.69 – 0.81% comparing to those for sires and dams by indirect selection. However, improvement in calves BW may also be achieved by practicing better management programs in this herd.

Ashraf Shaarawy

Papers

How Does the Entrepreneurs’ Financial, Human, Social and Psychological Capitals Impact Entrepreneur’S Success?

Factors Affecting the Behavioral Intention to Use Standalone Electronic Personal Health Record Applications by Adults in Egypt

FIRST Framework Design and Facilitate Active Deep Learner eXperience

Genetic Parameters of Direct and Maternal Effects for Birth Weight of Friesian Calves under Egyptian Farm conditions