Primer text from The College of William & MaryADHD is one of the most commonly diagnosed conditions of children (Centers for DiseaseControl and Prevention, 2015).  In a 2016 Centers for Disease Control and Prevention study, scientists found that 6.1 million children aged 2-17 years living in the U.S. had been diagnosed with attention-deficit/hyperactivity disorder (ADHD), which is similar to previous en Ages 6-11: Approximately 2.4 million children Ages 12-17: Approximately 3.3 million children The diagnostic term attention deficit/hyperactivity disorder (ADHD) refers to individuals who display patterns of inattention, impulsivity, and overactive behavior that interfere with daily functioning (American Psychiatric Association [APA], 2013). The Diagnostic and Statistical Manual (DSM) V (APA, 2013) criteria for diagnosing ADHD listthree types of ADHD and the accompanying characteristics. Read more

Primer text from The College of William & MaryADHD is one of the most commonly diagnosed conditions of children (Centers for DiseaseControl and Prevention, 2015).  In a 2016 Centers for Disease Control and Prevention study, scientists found that 6.1 million children aged 2-17 years living in the U.S. had been diagnosed with attention-deficit/hyperactivity disorder (ADHD), which is similar to previous en Ages 6-11: Approximately 2.4 million children Ages 12-17: Approximately 3.3 million children The diagnostic term attention deficit/hyperactivity disorder (ADHD) refers to individuals who display patterns of inattention, impulsivity, and overactive behavior that interfere with daily functioning (American Psychiatric Association [APA], 2013). The Diagnostic and Statistical Manual (DSM) V (APA, 2013) criteria for diagnosing ADHD listthree types of ADHD and the accompanying characteristics. Read more

As a result of the behaviors listed above, students with ADHD are at greater risk of academicdifficulties, social/emotional issues, and limited educational outcomes. The degree to which attention impacts a student’s academic and social performance is related to the interactions between the student’s academic and behavioral needs and the environmentaldemands.  Therefore, it is not unusual for the student to perform differently across settings.  For example, a student with ADHD may experience academic success in elementary school;however, when he enters middle school, the increased academic and organizational demandsmay increase his need for additional academic and behavioral supports. Read more

As a result of the behaviors listed above, students with ADHD are at greater risk of academicdifficulties, social/emotional issues, and limited educational outcomes. The degree to which attention impacts a student’s academic and social performance is related to the interactions between the student’s academic and behavioral needs and the environmentaldemands.  Therefore, it is not unusual for the student to perform differently across settings.  For example, a student with ADHD may experience academic success in elementary school;however, when he enters middle school, the increased academic and organizational demandsmay increase his need for additional academic and behavioral supports. Read more

It is widely accepted that educational opportunities for children ought to be equal. This thesis follows from two observations about education and children: first, that education significantly influences a person’s life chances in terms of labor market success, preparation for democratic citizenship, and general human flourishing; and second, that children’s life chances should not be fixed by certain morally arbitrary circumstances of their birth such as their social class, race, and gender. But the precise meaning of, and implications for, the ideal of equality of educational opportunity is the subject of substantial disagreement (see Jencks 1988). This entry provides a critical review of the nature and basis of those disagreements. Read more

Teacher policy is education policy that addresses the preparation, recruitment, and retention of teachers.[12] A teacher policy is guided by the same overall vision and essential characteristics as the wider education policy: it should be strategic, holistic, feasible, sustainable, and context-sensitive. Overall objectives and major challenges to be addressed, the funding to achieve these objectives, the demographic parameters of the learner population and the human resources required to achieve universally accessible quality education should all be addressed in a comprehensive teacher policy.[13] Nine key dimensions Nine key dimensions are considered crucial to any comprehensive teacher policy: Teacher Recruitment and Retention, Teacher education (initial and continuing), Deployment, Career Structures/Paths, Teacher Employment and Working Conditions, Teach Reward and Remuneration, Teacher Standards, Teacher Accountability, and School Governance.[13] Teacher Recruitment and RetentionAn effective education system must have a safe way to attract, recruit and retain outstanding educators. There has been a growing demand for teachers but the supply continues to diminish and many of them leave their profession.[14] This development is a threat to the "academic and economic welfare of students". It affects learning and drain taxpayers’ money.[15] The federal and state governments along with the districts must invest in complete human capital systems. It is the best approach in preparing and retaining committed and capable mentors for the long-term.[16] A reasonable strategy in talent management for the education sector must focus on recruitment, development, and retention of intelligent and efficient teachers.[17] Read more

If you are looking for specific activities to support your students’ and colleagues’ social and emotional well-being in 2023, visit our Greater Good in Education website, featuring free research-based practices, lessons, and strategies for cultivating kinder, happier, and more equitable classrooms and schools. For a deeper dive into the science behind social-emotional learning, mindfulness, and ethical development, consider our suite of self-paced online courses for educational professionals, including our capstone course, Teaching and Learning for the Greater Good. Or join one of our new communities of practice that focus on educator well-being, offering space for rest, reflection, togetherness, and hope—and some science, too! Read more

Education is often divided into types. The most common division is between formal, non-formal, and informal education.[31] However, some theorists only distinguish between formal and informal education.[32] Formal education happens in a complex institutional framework. Such frameworks have a chronological and hierarchical order. For instance, the modern schooling system has classes based on the student's age and progress, all the way from primary school to university. Formal education is usually controlled and guided by the government. It is normally compulsory up to a certain age Read more

Matter is made up of molecules which consists of atoms. According to Bohr’s theory, “the atom consists of positively charged nucleus and a number of negatively charged electrons which revolve round the nucleus in various orbits”. When an electron is raised from a lower state to a higher state, it is said to be excited. While exciting, if the electron is completely removed from the nucleus, the atom is said to be ionized. So, the process of raising the atom from normal state to this ionized state is called as ionization. Read more

They are more likely to respond positively when teachers establish class routines and set procedures and maintain a well-organized learning environment.  Read more

HP QuickTest Professional (QTP), an automated functional testing tool that helps testers to perform automated regression testing in order to identify any gaps, errors/defects in contrary to the actual/desired results of the application under test. This tutorial will give you an in-depth understanding on HP QuickTest Professional, its way of usage, record and play back of tests, object repository, actions, checkpoints, sync points, debugging, test results etc. and other related terminologies. Read more

Data is the new Oil. This statement shows how every modern IT system is driven by capturing, storing and analysing data for various needs. Be it about making decision for business, forecasting weather, studying protein structures in biology or designing a marketing campaign. All of these scenarios involve a multidisciplinary approach of using mathematical models, statistics, graphs, databases and of course the business or scientific logic behind the data analysis. So we need a programming language which can cater to all these diverse needs of data science. Python shines bright as one such language as it has numerous libraries and built in features which makes it easy to tackle the needs of Data science. In this tutorial we will cover these the various techniques used in data science using the Python programming language. Read more