Analysis Of Potential Teaching Points Template: Fill & Download for Free

Balaji has made some excellent suggestions. I think there are fundamentally 2 approaches which I would prefer to call the "Education approach" and the "Learning approach".The Education paradigm emphasizes acquiring a body of knowledge, “right” information, once and for all.The Learning paradigm emphasizes on learning how to learn, how to ask good questions, pay attention to the right things, be open to evaluating new concepts and having access to information. It emphasizes the importance of context.The Education approach is to treat learning as a product, a destination; and the learning approach is to treat learning as a process or a journey.The Education approach consists of a relatively rigid structure and a standard curriculum and a prescribed approach to teach, whereas the learning approach consists of a relatively flexible curriculum and belief that there are many different was to teach a given subject.The Education approach is often hierarchical and has an authoritarian structure. It rewards conformity and discourages dissent. The learning approach is egalitarian. Candour and dissent is permitted. Students and teachers see each other as people, not roles.The primary priority in the education approach is on performance, whereas in the learning approach, the priority is on self-image as the generator of performance.The Education approach emphasizes the external world. The inner experience is often considered inappropriate in the school setting. On the other hand, the Learning approach sees the inner experience as providing the context for learning. Through use of imagery, story telling, journals, exploration of feelings is often encouraged.The Education approach downplays the importance of guessing and divergent thinking, while the learning approach encourages them as part of the creative process.The Education approach often emphasizes the analytical, left brained and linear thinking. The Learning approach strives for the whole brain education. It augments the left brain rationality with holistic, non-linear and intuitive strategies. The confluence and fusion of the two processes are emphasized.The Education approach resorts to labelling ( remedial, gifted etc. especially in Singapore) and this contributes to a self-fulfilling prophecy. In the learning approach, labelling is used only in a minor prescriptive roles and not as a fixed evaluation that dogs the individual’s educational career.The Education approach is overly concerned about norms. In the learning approach, the concern is with the individual’s performance in terms of potential. It actively tries to test outer limits and transcending perceived limitations.The primary reliance in the Educational approach is on theoretical, abstract or “book knowledge”, whereas the in the learning approach the theoretical knowledge is heavily complemented by experiment and experience both in and out of the classroom.The Educational approach is often bureaucratically determined, resistant to community inputs; whereas the Learning approach encourages community inputs, even community control.The Educational approach seems to be increasing its reliance on technology ( computers, software, standard CBT models) whereas the learning approach uses only appropriate technology and the human relationships between teachers and learners is of primary importance.In the educational approach, the teacher imparts knowledge; it is a one way street. In the learning approach, the teacher is a learner too, learning from students.Finally, in the Education paradigm, it is seen as a social necessity for a certain period to inculcate minimum skills and train them for a specific role. In the learning paradigm, education is seen as a life long process and one that is only tangentially related to schools.From a policy standpoint, the educational approach (despite it being suboptimal) can still be improved if the teacher performance can be improved and results can be measured. What makes one teacher better at her job than another and how can best practices be shared? Technology enables analysis and is also the delivery mechanism. We definitely need to improve performance without spending a lot more. We need to maximise resources to best prepare the workforce. This may be the best option for the students in the primary school to even middle school.The learning approach is best suited for higher education. The system should be set up to provide room for individual experimentation to find a unique solution to each person’s quest. It is the symbol of intellectual multi-tasking. This is a more experimental, integrated search for a holistic view of the universe, one that has multiple access points. Each student becomes his or her own teacher.Keep poetry, world history and literature alongside mechanical engineering and agricultural studies. A discerning mind, one that blends science and Springsteen, is the backbone of the creative spirit.I wrote a policy paper for the HRD ministry when Kapil Sibal was the Education minister in the UPA government. Unfortunately it didn't elicit any response beyond an acknowledgement.As a faculty who taught MBA students and conducted several workshops both for MBA students and engineering students, my observation is that we have just produced a whole generation of students who have grown adept as exam takers and templates to organise their thoughts. I have interviewed hundreds of MBA aspirants who have never read even their engineering text books completely, forget reading anything like fiction or a book on history or anything beyond their domain. We have discretised learning and there has been no attempt to an integrated approach.In my discussion with various educationists of all kinds, I have found that while most agree that they should develop the learning mindset among students , few attempt to do so and often cite various impediments to do even the most basic of things. In fact I have come across educationists (teachers and administration) who have inadvertently even killed the learning instinct among students. I have concluded (with some misgivings of course) that the tipping point in changing the system has to come from better and broader teacher training and measurement.

Quantitative research is defined as a systematic investigation of phenomena by gathering quantifiable data and performing statistical, mathematical, or computational techniques. Quantitative research collects information from existing and potential customers using sampling methods and sending out online surveys, online polls, questionnaires, etc., the results of which can be depicted in the form of numerical. After careful understanding of these numbers to predict the future of a product or service and make changes accordingly.An example of quantitative research is the survey conducted to understand the amount of time a doctor takes to tend to a patient when the patient walks into the hospital. A patient satisfaction survey template can be administered to ask questions like how much time did a doctor takes to see a patient, how often does a patient walks into a hospital, and other such questions.Quantitative Research Methods: Types with ExamplesAs mentioned above, quantitative research is data-oriented. There are two methods to conduct quantitative research. They are:Primary Quantitative Research MethodsThere are four different types of quantitative research methods:Primary quantitative research is the most widely used method of conducting market research. The distinct feature of primary research is that the researcher focuses on collecting data directly rather than depending on data collected from previously done research. Primary quantitative research can be broken down into three further distinctive tracks, as well as the process flow. They are:A. Techniques and Types of StudiesThere are multiple types of primary quantitative research. They can be distinguished into the four following distinctive methods, which are:Survey Research:Survey Research is the most fundamental tool for all quantitative research methodologies and studies. Surveys used to ask questions to a sample of respondents, using various types such as online polls, online surveys, paper questionnaires, web-intercept surveys, etc. Every small and big organization intends to understand what their customers think about their products and services, how well are new features faring in the market and other such detail.ross-sectional surveys: Cross-sectional surveys are observational surveys conducted in situations where the researcher intends to collect data from a sample of the target population at a given point in time. Researchers can evaluate various variables at a particular time. Data gathered using this type of survey is from people who depict similarity in all variables except the variables which is considered for research. Throughout the survey, this one variable will stay constant.Longitudinal surveys: Longitudinal surveys are also observational surveys but, unlike cross-sectional surveys, longitudinal surveys are conducted across various time durations to observe a change in respondent behavior and thought-processes. This time can be days, months, years, or even decades. For instance, a researcher planning to analyze the change in buying habits of teenagers over 5 years will conduct longitudinal surveys.Correlational Research:A comparison between two entities is invariable. Correlation research is conducted to establish a relationship between two closely-knit entities and how one impacts the other and what are the changes that are eventually observed. This research method is carried out to give value to naturally occurring relationships, and a minimum of two different groups are required to conduct this quantitative research method successfully. Without assuming various aspects, a relationship between two groups or entities must be established.Researchers use this quantitative research method to correlate two or more variables using mathematical analysis methods. Patterns, relationships, and trends between variables are concluded as they exist in their original set up. The impact of one of these variables on the other is observed along with how it changes the relationship between the two variables. Researchers tend to manipulate one of the variables to attain the desired results.Ideally, it is advised not to make conclusions merely based on correlational research. This is because it is not mandatory that if two variables are in sync that they are interrelated.Example of Correlational Research Questions:The relationship between stress and depression.The equation between fame and money.The relation between activities in a third-grade class and its students.Causal-Comparative Research:This research method mainly depends on the factor of comparison. Also called the quasi-experimental research, this quantitative research method is used by researchers to conclude cause-effect equation between two or more variables, where one variable is dependent on the other independent variable. The independent variable is established but not manipulated, and its impact on the dependent variable is observed. These variables or groups must be formed as they exist in the natural set up. As the dependent and independent variables will always exist in a group, it is advised that the conclusions are carefully established by keeping all the factors in mind.Causal-comparative research is not restricted to the statistical analysis of two variables but extends to analyzing how various variables or groups change under the influence of the same changes. This research is conducted irrespective of the type of relation that exists between two or more variables. Statistical analysis is used to distinctly present the outcome of obtained using this quantitative research method.Example of Causal-Comparative Research Questions:The impact of drugs on a teenager.The effect of good education on a freshman.The effect of substantial food provision in the villages of Africa.Experimental Research: Also known as true experimentation, this research method is reliant on a theory. Experimental research, as the name suggests, is usually based on one or more theories. This theory has not been proven in the past and is merely a supposition. In experimental research, an analysis is done around proving or disproving the statement. This research method is used in natural sciences.There can be multiple theories in experimental research. A theory is a statement that can be verified or refuted.After establishing the statement, efforts are made to understand whether it is valid or invalid. This type of quantitative research method is mainly used in natural or social sciences as there are various statements which need to be proved right or wrong.Traditional research methods are more effective than modern techniques.Systematic teaching schedules help children who find it hard to cope up with the course.it is a boon to have responsible nursing staff for ailing parents.

You can find the same post here: Page on linkedin.comA Tech Concoction For MBAs, JDs and WannapreneursAug 7, 2015The Basic StartupAn atom has three basic parts but most bootstrapped tech startups have two:1) Builder of a Product - the rockstar engineer, CEO|CTO| tech co-founder who builds a scalable product that can make & keep customers happy. S/he is also the evangelist that attracts top engineers and stays ahead of the curve on cutting edge technology trends to exceed business requirements and leapfrog competitors. S/he builds a better mousetrap.2) Builder of a Market - the business guru, CEO|CXO| business or legal co-founder who brings in clients, partners, revenue and can be the 'ears on the ground' to identify and put a roadmap around new features after doing a webinar or attending a conference or based on domain expertise. This person is also charged with finding a repeatable sales cycle that defines most startups. This post is mainly for you!!!What's this post about?The outline below can be useful to get a FinTech startup off the ground, determining the core set of skills you might need to find a technical co-founder and a quick technical primer to have intelligent conversations as a Product CEO or CXO in front of your tech team, B2B relationships and investors.It can also be a reference tool for business folks, MBAs | JDs, and other non-technical founders that want to complement their business & financial skills (The Fin) with technical ones (The Tech) to add value as a technical product manager. What follows below is NOT a comprehensive list but what I'd consider a good set of resources that I've collected recently after four FinTech endeavors focused on powering Robo-Advisors and CrowdFunding portals via Web Apps and APIs. Three of those companies have been my own and while I am still searching for a BIG exit, I've had the great pleasure of partnering, hiring and working closely with 3 Tech Co-Founders and 8 Software Engineers in my startups and many more as a mentor, advisor and board member to several tech startups in a period marked by severe competition for engineering talent. I've also taught myself HTML, CSS, Flash, Fortran 90, SQL, C, Objective C and Java in the past.Some Web 2.0 BasicsIf you want to build your own website without coding: weebly andsquarespace are great tools to use. However, these are not replacements for building a technical product but simple ways to explain what you do online. Below are the tech sound bytes that explain the basics of front end, back end, APIs and a quick primer on product management. The Model View Controller (MVC) framework on the left gives you an idea for the most relevant components the View (what the user sees or front end which is typically received from the controller), theModel (the backend or database holding information, docs, etc) and theController (the glue and orchestrator between front end and back ends). It can update a record or send a command to the front end to change the view of the model (e.g. an updated stock price).Basic Web App Tech StacksFrom Left to Right: Front End Languages, Front End Frameworks, Back End Frameworks & DatabasesFront End Primer {Focus Point #1}Most useful and probably easiest Front End languages worth understanding are: Javascript, HTML5, CSS3, jQuery, Ruby. You don't need them all but a good understanding of Javascript, HTML and CSS can go a long way.To overly simplify things, think of HTML and CSS as the necessary languages to define the look and feel of your web pages whereas Javascript is a more powerful language that can behave as the glue between software components like your database and web server. It can also encompass powerful functionality like a program or action based on user input.Lastly, jQuery is a commonly used javascript library (in 65% of highly-trafficked websites) that is cross-platform compatible (runs on windows, mac et al).In the diagram above, left to right, Sass & less are newer versions of CSS which is primarily used to define elements of a page. For ex, all H1 headers in this doc, need to be Font: Verdana, Size:16 and Color:Black. That styling is a CSS example. This partially enables SaaS products to be white-labeled (branded per customer). CoffeScript is a more readable form of JavaScript.In the middle of the diagram, front end frameworks are basically sets of HTML | CSS templates|Goodies like fonts which are "useful tools for faster and better development. With frameworks you can build a well structured, maintainable and upgradable website. It also helps you save time because there are plenty of readily available elements that you can use." - sitepointBootstrap is a front end framework that can ease the development ofdynamic websites and web applications. In the diagram above, Foundation is another front end framework managed by Zurb whereas Bootstrap was started by Twitter.Ruby on Rails: "Ruby on Rails is an open-source web framework that’s optimized for programmer happiness and sustainable productivity. It lets you write beautiful code by favoring convention over configuration." In plain english, think of this as a supermarket of gems which are pre-packaged sets of functionality. If you need to attach a doc to an email, there's a gem for that which you can copy and paste into your programs.angular.js is one of the top JavaScript MVC frameworks for web apps. backbone.js and ember.js are similar and round the top three contenders. The right hand side of the diagram will be discussed in the back end section below.Back End PrimerBack End useful languages as a business person: Structured Query Language (SQL) so you can understand CRUD functions in a database. What's CRUD? Create, Read, Update, Delete records. Also helpful in defining basic APIs (see below).Good Concepts to know: Relational Databases | No SQL databases | Big Data 101 | Cloud (see Amazon AWS, Microsoft's Azure or Google Cloud)The remaining portion of the diagram reflects mainly backend tech. Mongo db is not a relational database (not SQL based). "MongoDB is one of the earliest database types under the NoSQL banner. Instead of using tables and rows as in relational databases, MongoDB is built on an architecture of collections and documents. Documents comprise sets of key-value pairs and are the basic unit of data in MongoDB" SourceNode.js is primarily a backend controller that specializes on non-blocking inputs and outputs and great for lots of concurrent users. Think of many people hitting the same tables and avoiding data corruption and "conflict locks" due to concurrent traffic. Lastly, Express (web-framework that goes hand in hand with node.js),Data Modeling Tools: Gliffy, OmniGraffle and MS Visio can help you provide your engineers with relationships between say, an investor and an investment. A household, to one to many members that can also have one or many accounts which may contain one or many investments and so on. Financial example here.Best languages for middle to backend: Java, C_, PHP, Python. Think of these as scripting languages where business logic, automation routines, algorithms, and harder to do stuff can be packaged. Fun facts I found out after b-school, the C language fits in less than 300 pages. Objective C, the basis for iOS programming is a subset of this language. I do think that for most business folks, adding value as a PM, Designer or UI Developer might be easier than to pick up back end programming.APIs ~ Legos {Focus Point #2}Think of APIs as legos that can allow for standard connectivity by way of inputs and outputs to be communicated between two systems. More importantly, APIs can help you wrap complex algorithms without disclosing your IP, externalize and monetize them via partners, clients and even competitors. As a business domain expert, you may need to define your APIs for your engineering team usingJSON (beware that lots of banks still love XML). These can be internal or external. As an example, Xignite is a FinTech company that built a huge business through APIs. A basic example of an API could be for a crowdfunding portal or Broker Dealer to send investor information collected during sign-up and for a service like FundPaaS, to return back a success status after successfully running a KYC, AML and Accreditation check on that person or business.Application Programming Interfaces (APIs) further defined & examplesCommonly Used APIs on Programmable Web, a great directory of APIsAPIs -- Network Effects and ROI >> 100%Other Implications | ConsiderationsDoes your stack affect your exit potential?"An analysis of Google, Facebook, Twitter, Box, Dropbox, and other emerging web players indicates that the stack doesn’t matter very much. While the tendency at most of these companies is either Java, PHP, Ruby, or Python, as long as the software service supports integrations via some form of web services **APIs**, the acquirer is able to develop an integration plan" See study Source"the large enterprise acquirers have a preference towards Java ... while some of the newer players have made investments in PHP and Ruby" SourceMajor Acquisitions by Acquiree and the Technology Stack from 2012-2015Security Issues -- particularly important in Financial ServicesJust beware of these issues and hire experts to help you here. This is beyond my pay grade and the scope of this post.Zero to One LearningTo be clear...What I am saying... as a Product CXO, you can learn the basic tech lingo to guide your technical hiring, define your MVP and understand the inner workings of a tech-stack at a high level. You can also play the Product& Business Development role that is so critical as you ramp up while keeping your team small and burn rate low. Learning a new trade will also slow down your startup so you have be careful and thoughtful as to the "what" and by "when" here.What I am NOT saying... to learn every single language or framework above or below or to switch from being an MBA | JD to a software engineer unless you can afford to take a year or two off and even then, you'll compete against the 16 yr old wiz that's been coding for 10 years.Full Dev ProgramsThere are many. These are three that I've become familiar with from a recruiting or learning perspective:Selection Based: www.HackReactor.com {to become an entry-level software engineer / good recruiting partners}Selection Based: www.devbootcamp.com {to become an entry-level software engineer / good recruiting partners}Pay & Go: www.bignerdranch.com {for specific iOS programming paid courses}Learning to Code Sites 101Again, many but these are the ones I've personally found useful. Also, each of the languages and frameworks described above have their own references and resources to teach you.Online video tutorials & trainingLearn to codeOnline Courses and Nanodegree Programs to Advance Your CareerEvery child deserves opportunityScratch - Imagine, Program, Share{Focus Point #3} - Product CXO Transformation Tools1) Agile MethodologyLearn Agile Methodologies to manage tech projects. DO NOT BRING typical financial services SDLC like waterfall methodologies to your tech startup as they'd greatly diminish your iterative power.2) Problem, Solution & MVP DefinitionDefine Problem & Solution Statements that your product will solve.Define user stories around the problem you are solving.Identify all features you can think of and prioritize these into an MVP.Useful software tools like JIRA, Trello, GitHub, Google Docs to track these items3) Rapid PrototypingAwesome tools here include Balsamiq, Gliffy, Keynote or Powerpoint, UX Pin or even a good old napkin with your ideas, screens and workflows. For mobile apps prototypes: Proto.io, mPath. This is a perfect skill for a business co-founder to develop and add value on product development.Ship your product quickly and often. Iterate through build, measure and learning loops that are based on data and feedback.4) Business Model CanvasThis is a great business modeling tool to think through an entire product or business in general. To me this forces you to think hard about revenue generation as a concerted effort and the product implications that can stem from each potential business model. It's sort of a visual business plan.Bringing it all together - My Suggested StrategyOh, and what's an Wannapreneur anyway? It's yes, another portmanteau for aspiring entrepreneurs that sometimes fall short of understanding that being a full-time entrepreneur is one of the *hardest things* you'll ever have to do and that usually involves learning faster than your competitors, re-inventing yourself sometimes and acquiring new skills when necessary. Luckily there are servicesjust for you. Also, see a related article on advise to 1st time entrepreneurs from a couple of years ago and be ready to take major risks including seeing your bank account go negative.Many MBAs and experienced business folks sometimes argue that acquiring technical knowledge is not the best use of their time and that they should focus squarely on the business side of things. I know there are plenty of successful business folks to whom this post wouldn't apply but I also know plenty of successful FinTech entrepreneurs that have invested the time to beef up their technical chops in order to start a FinTech company. For the bootstrapped entrepreneur, debt-ridden MBA/JD that wants to find a technical co-founder and build a FinTech startup on a shoe-string budget, this post certainly applies.If this resonates, you probably realize the power of continuous learning; you know there's nothing you can't do and appreciate why technical skills may lead to finding the unicorn technical co-founder once you can speak the same language and relate on different wavelength than business alone. This in turn, may immediately increase the value of your tech startup while keeping your headcount and burn rate low since you could handle all business + product management matters going forward. Or you may just do it for the sake or learning (+1 Like).I've heard plenty of disturbing comments stating that for every Engineer, you canincrease your valuation by X and for every MBA, you can subtract Y from your valuation. Well, I am both so I can freely express my unbiased opinion as a FinTech Entrepreneur, Biomedical Engineer, MBA that worked on Wall St and Silicon Valley. My hope is to add another section to the bridge between these two worlds and bring forth more FinTech startups into our ecosystem. So keep at it my friends and make sure that you build, measure and learn as you iterate through features and potential business models.Please add more tools, frameworks or valuable articles in the comment section. I'll re-post a 201 version in 45 days. ThanksIf you are here, you are a NERD. Here's the Extra CreditCommonly Used Tech StacksL: Linux {Operating System. Like Windows / Mac OS}A: Apache {Web Server}M: MySQL {Database}P: PHP {Scripting. Think Controller}Web Server???: The primary function of a web server is to store, process and deliver web pages to clients. The communication between client and server takes place using the Hypertext Transfer Protocol (HTTP). Pages delivered are most frequently HTML documents, which may include images, style sheets (hey you know these are CSS) and scripts (sounds like javascript) in addition to text content. The most widely used is the Apache.Operating System: Microsoft Windows, Mac OS, Linux. If you replace the L with W, you get WAMP. Another stack.Other Scripting Languages: Perl and PythonJava Stack ExampleM - Mongo (the backend), E - Express (web-framework that goes hand in hand with node.js), A - Angular.js (front-end framework), N - Node.js (the backend controller that specializes on non-blocking inputs and outputs. Great for lots of concurrent users)Transposing the Stack to an MVC EquivalentHow these communicate with each other