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| ==== Knewton ==== | ==== Knewton ==== | ||
| - url http://www.knewton.com/about/ | - url http://www.knewton.com/about/ | ||
| - | - Introduction: Knewton is an infrastructure platform that makes it possible for anyone to build the world’s most | + | - 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. |
| - | powerful adaptive learning applications. | + | - Functionalities: |
| - | - Analytics Features: The Knewton Adaptive Learning Team transforms huge quantities of data into cognitive/interaction models, estimators, rankers, data frameworks, and actionable insights. This translates into instructional and content analytics for teachers, publishers, and administrators. | + | - Analytics Only: Knewton analytics provides insight into each student's performance and the quality of educational content. |
| - | One of the biggest challenges facing teachers and school administrators today is the growing diversity of the students within their population. A greater diversity of students means a greater diversity of needs to consider. Some struggle because English is not their first language; others have difficulty with focus or organization. Others may be particularly weak in some area but possess unusual strengths in another. | + | - Adaptive Practice: In addition to analytics, Knewton provides students with targeted recommendations for extra help assignments and assessments to supplement primary coursework. |
| - | Knewton analytics provide insight into the learning process, specifically in terms of efficacy, engagement, and knowledge retention, and help teachers ensure that diverse needs are being met. Platform analytics may discover, for instance, that a student who is weak with math word problems is struggling because he has difficulty with reading comprehension; the system can then direct the teacher to specific material on syntax and vocabulary and suggest ways that the teacher might coach the student individually in these respects. Later, the teacher may be informed that another student who understands mathematical concepts but has trouble with carelessness in arithmetic should receive feedback about how to develop stronger estimation abilities or check work once completed. The teacher can then coach that student with a precise understanding of his particular weaknesses. | + | - 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. |
| - | With Knewton analytics, teachers will be able to grasp patterns in | + | ==== AUS Eadvisor ==== |
| - | student activity and performance across the whole class or drill down | + | - url https://eadvisor.asu.edu/ |
| - | into individual student profiles to determine exactly why a student is | + | - Functionalities: |
| - | struggling. After multiple years of teaching the same course, teachers | + | - Choosing a major |
| - | will be able to compare data from year to year. Knewton analytics | + | - search a major/ by name, relevant words |
| - | will allow them to access useful information (like which students are | + | - compare majors |
| - | struggling and require immediate attention) while leaving them free to | + | - support transfer students show how their current community college courses will fit into the degree requirements of any ASU degree |
| - | interpret the results. This capacity allows teachers to better understand | + | - offers five exploratory majors |
| - | their curriculum, so that they can refine it from semester to semester | + | - Choosing Courses |
| - | and year to year. | + | - 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. | ||
