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| - Confirm or discredit assumptions about districts, schools, school practices and student results | - Confirm or discredit assumptions about districts, schools, school practices and student results | ||
| - Avoid one-size-fits-all and quick solutions | - Avoid one-size-fits-all and quick solutions | ||
| - | ==== Junyo ==== | + | ==== Knewton ==== |
| - | - url http://junyo.com/ | + | - url http://www.knewton.com/about/ |
| + | - Introduction: Knewton is an infrastructure platform that makes it possible for anyone to build the world’s most powerful adaptive learning applications. Knewton technology can be added to new or existing digital learning products. Every Knewton-enhanced product provides practical analytics for instructors. Knewton recommendations can be implemented to accommodate a variety of course flows. | ||
| + | - Functionalities: | ||
| + | - Analytics Only: Knewton analytics provides insight into each student's performance and the quality of educational content. | ||
| + | - Adaptive Practice: In addition to analytics, Knewton provides students with targeted recommendations for extra help assignments and assessments to supplement primary coursework. | ||
| + | - Fully Adaptive Coursework: Knewton recommendations determine each student's flow through course material. Particularly well-suited for fully online courses, this implementation includes analytics and emphasizes true competency-based learning. | ||
| + | ==== AUS Eadvisor ==== | ||
| + | - url https://eadvisor.asu.edu/ | ||
| + | - Functionalities: | ||
| + | - Choosing a major | ||
| + | - search a major/ by name, relevant words | ||
| + | - compare majors | ||
| + | - support transfer students show how their current community college courses will fit into the degree requirements of any ASU degree | ||
| + | - offers five exploratory majors | ||
| + | - Choosing Courses | ||
| + | - keep up to date course information | ||
| + | - the departments described the sequences of courses required for each major and identified the ones that are critical in diagnosing who is unlikely to succeed in. if students do bad in important class, the system will flag that individual for additional academic support and offer advice on choosing a different program. | ||
| + | - identify the best course sequence to match their skills | ||
| + | - If students want to study subjects that are unrelated to their majors, the system makes them confront the conflict. If a student’s performance does not predict success, the advisor, using the system, can identify other courses of study for which the individual is better suited, based on the experience of many other students. | ||
| + | - constantly updating information, ensuring that each student’s record matches the criteria for success, and alerting advisors that students need personal attention exactly when they need it. So rather than waiting for a cumulative judgment at the end of their sophomore year, students continuously know whether they are on their way to success in their chosen major or whether they should reevaluate their goals. | ||
| + | - advisor can focus on improving the student's chances of success. | ||
| + | - Advisor tools | ||
| + | - Online tools and reports enable advisors to monitor the progress of each student assigned to them and to focus their attention on those who require help. In this way, they can effectively support a large number of advisees | ||
| + | - Scheduling Courses | ||
| + | - The system has complete information on every student’s major, courses completed, and courses needed. It knows which courses will be required for the next semester for all students, as well as which of these are critical and must be provided on time. | ||
| + | - It also calculates how many seats are needed the next semester in every critical course. | ||
| + | - Monitoring programs, students, and advisors | ||
| + | - manage degree map | ||
| + | - The eAdvisor tools also allow the university to monitor the work of the academic advisors. | ||
| + | - The university also monitors dashboard usage. Whenever new computer systems are introduced, some employees continue to rely on obsolete paper processes rather than learn the new routines. | ||
| + | - Supporting Students | ||
| + | - consolidates all student information includes my ASU usage | ||
| + | ===== Related Material ===== | ||
| + | - http://elearning-analytics.blogspot.hk/ | ||
| + | - http://hackeducation.com/ | ||
| + | |||
| + | ===== Related Tools ===== | ||
| + | - Keel | ||
| + | - url:http://www.keel.es/ | ||
| + | - Introduction: KEEL is an open source (GPLv3) Java software tool to assess evolutionary algorithms for Data Mining problems including regression, classification, clustering, pattern mining and so on. It contains a big collection of classical knowledge extraction algorithms, preprocessing techniques (training set selection, feature selection, discretization, imputation methods for missing values, etc.), Computational Intelligence based learning algorithms, including evolutionary rule learning algorithms based on different approaches (Pittsburgh, Michigan and IRL, ...), and hybrid models such as genetic fuzzy systems, evolutionary neural networks, etc. It allows us to perform a complete analysis of any learning model in comparison to existing ones, including a statistical test module for comparison. Moreover, KEEL has been designed with a double goal: research and educational. For a detailed description, see the section 'Description' on the left menu. | ||
