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Articles 31 - 37 of 37
Full-Text Articles in Physical Sciences and Mathematics
Model Ai Assignments 2018, Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth
Model Ai Assignments 2018, Todd W. Neller, Zack Butler, Nate Derbinsky, Heidi Furey, Fred Martin, Michael Guerzhoy, Ariel Anders, Joshua Eckroth
Computer Science Faculty Publications
The Model AI Assignments session seeks to gather and disseminate the best assignment designs of the Artificial Intelligence (AI) Education community. Recognizing that assignments form the core of student learning experience, we here present abstracts of seven AI assignments from the 2018 session that are easily adoptable, playfully engaging, and flexible for a variety of instructor needs. Assignment specifications and supporting resources may be found at http://modelai.gettysburg.edu.
Ai Education Matters: Teaching Hidden Markov Models, Todd W. Neller
Ai Education Matters: Teaching Hidden Markov Models, Todd W. Neller
Computer Science Faculty Publications
In this column, we share resources for learning about and teaching Hidden Markov Models (HMMs). HMMs find many important applications in temporal pattern recognition tasks such as speech/handwriting/gesture recognition and robot localization. In such domains, we may have a finite state machine model with known state transition probabilities, state output probabilities, and state outputs, but lack knowledge of the states generating such outputs. HMMs are useful in framing problems where external sequential evidence is used to derive underlying state information (e.g. intended words and gestures). [excerpt]
Ai Education Matters: Lessons From A Kaggle Click-Through Rate Prediction Competition, Todd W. Neller
Ai Education Matters: Lessons From A Kaggle Click-Through Rate Prediction Competition, Todd W. Neller
Computer Science Faculty Publications
In this column, we will look at a particular Kaggle.com click-through rate (CTR) prediction competition, observe what the winning entries teach about this part of the machine learning landscape, and then discuss the valuable opportunities and resources this commends to AI educators and their students. [excerpt]
Smart Cities And Urban Management, Singapore Management University
Smart Cities And Urban Management, Singapore Management University
Research Collection Office of Research
In this booklet, read about SMU’s research and initiatives related to smart cities and urban management, and how we strive to make meaningful impact on business, government and society for Singapore and beyond.
Contents:
Liveability and quality of life
- Community participation through mobile crowdsourcing
- Smarter, healthier eating with Food AI
- Data-driven community eldercare platform for sustainable ageing-in-place
- A date with AI
- Smart mobility accessibility for barrier-free access
- Food security
Optimisation and resource management
- Collaborative urban delivery optimisation
- Seat occupancy detection through capacitance sensing
- Large-scale crowd simulation based on real-world data
- Gaining insights through Wi-Fi technology
- Taxi driver guidance system
- Efficiency …
Motivations Of Educators For Participating In An Authentic Astronomy Research Experience Professional Development Program, Luisa M. Rebull, T. Roberts, W. Laurence, Michael Fitzgerald, D. A. French, Varoujan Gorjian, G. K. Squires
Motivations Of Educators For Participating In An Authentic Astronomy Research Experience Professional Development Program, Luisa M. Rebull, T. Roberts, W. Laurence, Michael Fitzgerald, D. A. French, Varoujan Gorjian, G. K. Squires
Research outputs 2014 to 2021
[This paper is part of the Focused Collection on Astronomy Education Research.] The NASA/IPAC Teacher Archive Research Program (NITARP) partners small groups of educators with a research astronomer for a year-long authentic research project. This program aligns well with the characteristics of high-quality professional development (PD) programs and has worked with a total of 103 educators since 2005. In this paper, surveys were explored that were obtained from 74 different educators, at up to four waypoints during the course of 13 months, incorporating data from the class of 2010 through the class of 2017. This paper investigates how participating teachers …
Jensen (Robert E.) Records, 1967-1971, Special Collections, Raymond H. Fogler Library, University Of Maine
Jensen (Robert E.) Records, 1967-1971, Special Collections, Raymond H. Fogler Library, University Of Maine
Finding Aids
Robert E. Jensen was born in Iowa in 1938. A summa cum laude graduate of the University of Denver in 1961 with an M.B.A. in accounting, he received a Ph.D. from Stanford University in 1966. He was a Certified Public Accountant and taught at the University of Denver, Stanford University, and Michigan State University. He came to the University of Maine at Orono in 1968 as the Nicolas M. Salgo Professor in the College of Business Administration.
In 1971-1972 Jensen was selected as a Fellow at the Center for Advanced Study in the Behavioral Sciences at Stanford University where he …
Launch-Explore-Summarize In High School Calculus, Nate Mattis
Launch-Explore-Summarize In High School Calculus, Nate Mattis
Honors Theses
Current research on high school calculus instruction indicates that students often possess a procedural knowledge of differentiation and integration as opposed to a conceptual knowledge (Orton, 1983; Ferrini-Mundy & Graham, 1994). Given the prominence of traditional lecture and textbook-based calculus classes in the United States, students are not always given the opportunity to expand their conceptual knowledge of essential calculus concepts. This project introduces calculus students to a more active and communal method of teaching: Launch-Explore-Summarize (LES) (CMP, n.d.). This methodology places students at the center of their learning and emphasizes inquiry-based thinking during a class. Specifically, two LES lessons …