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Regional Educational Laboratory Northeast & Islands, 2020
Connecticut is one of 29 states that require beginning teachers to complete an induction program to mitigate high turnover and lower efficacy among early-career teachers. Its two-year Teacher Education and Mentoring (TEAM) Program provides guidance to beginning teachers through several mechanisms, including five instructional modules and ongoing…
Descriptors: Beginning Teacher Induction, Beginning Teachers, Mentors, Program Effectiveness
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Regional Educational Laboratory Northeast & Islands, 2020
These are the appendixes for the report, "Investigating the Relationship between Adherence to Connecticut's Teacher Education and Mentoring Program and Teacher Retention." This study was conducted to explore the relationship between adherence to TEAM Program requirements and the outcome of interest-teacher retention. Teacher induction,…
Descriptors: Beginning Teacher Induction, Beginning Teachers, Mentors, Program Effectiveness
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Hanita, Makoto; Bailey, Jessica; Khanani, Noman; Bocala, Candice; Zweig, Jacqueline; Bock, Georgia – Regional Educational Laboratory Northeast & Islands, 2020
Connecticut is one of many states that implements an induction program for beginning teachers to mitigate high turnover and lower efficacy among early-career teachers. The state's Teacher Education and Mentoring (TEAM) Program requires beginning teachers to complete five instructional modules, have a certain number of contact hours with a mentor,…
Descriptors: Beginning Teacher Induction, Beginning Teachers, Mentors, Program Effectiveness
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Hanita, M.; Bailey, J.; Khanani, N.; Bocala, C.; Zweig, J.; Bock, G. – Regional Educational Laboratory Northeast & Islands, 2020
Connecticut is one of many states that implements an induction program for beginning teachers to mitigate high turnover and lower efficacy among early-career teachers. The state's Teacher Education and Mentoring (TEAM) Program requires beginning teachers to complete five instructional modules, have a certain number of contact hours with a mentor,…
Descriptors: Beginning Teacher Induction, Beginning Teachers, Mentors, Program Effectiveness
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Baker, Ryan S.; Hershkovitz, Arnon; Rossi, Lisa M.; Goldstein, Adam B.; Gowda, Sujith M. – Journal of the Learning Sciences, 2013
We present a new method for analyzing a student's learning over time for a specific skill: analysis of the graph of the student's moment-by-moment learning over time. Moment-by-moment learning is calculated using a data-mined model that assesses the probability that a student learned a skill or concept at a specific time during learning (Baker,…
Descriptors: Learning Processes, Intelligent Tutoring Systems, Probability, Skill Development
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Salahli, Mehmet Ali; Özdemir, Muzaffer; Yasar, Cumali – International Education Studies, 2013
One of the most important factors for improving the personalization aspects of learning systems is to enable adaptive properties to them. The aim of the adaptive personalized learning system is to offer the most appropriate learning path and learning materials to learners by taking into account their profiles. In this paper, a new approach to…
Descriptors: Individualized Instruction, Electronic Learning, Educational Technology, Profiles
Actuarial Foundation, 2012
The purpose of these modules is to provide an introduction to the world of probability and statistics to accelerated mathematics students at the high school level. The materials are centered on the fictional town of Happy Shores, a coastal community which is at risk for hurricanes. Actuaries at an insurance company figure out the risks and…
Descriptors: Mathematical Concepts, Probability, Statistics, Learning Modules
Actuarial Foundation, 2012
The purpose of these modules is to provide an introduction to the world of probability and statistics to accelerated mathematics students at the high school level. The modules also introduce students to real world math concepts and problems that property and casualty actuaries come across in their work. They are designed to be used by teachers and…
Descriptors: Probability, Statistics, Learning Modules, Calculus