Enhancing Undergraduate AI Courses through Machine Learning Projects

It is generally recognized that an undergraduate introductory Artificial Intelligence course is challenging to teach. This is, in part, due to the diverse and seemingly disconnected core topics that are typically covered. The paper presents work funded by the National Science Foundation to address this problem and to enhance the student learning experience in the course. Our work involves the development of an adaptable framework for the presentation of core AI topics through a unifying theme of machine learning. A suite of hands-on semester-long projects are developed, each involving the design and implementation of a learning system that enhances a commonly-deployed application. The projects use machine learning as a unifying theme to tie together the core AI topics. In this paper, we will first provide an overview of our model and the projects being developed and will then present in some detail our experiences with one of the projects – Web User Profiling which we have used in our AI class

Twenty Years of Edtech

An opinion often cited among educational technology (edtech) professionals is that theirs is a fast-changing field. This statement is sometimes used as a motivation (or veiled threat) to senior managers to embrace edtech because if they miss out now, it’ll be too late to catch up. However, amid this breathless attempt to keep abreast of new developments, the edtech field is remarkably poor at recording its own history or reflecting critically on its development. When Audrey Watters recently put out a request for recommended books on the history of educational technology, I couldn’t come up with any beyond the handful she already had listed. There are edtech books that often start with a historical chapter to set the current work in context, and there are edtech books that are now part of history, but there are very few edtech books dealing specifically with the field’s history. Maybe this reflects a lack of interest, as there has always been something of a year-zero mentality in the field. Edtech is also an area to which people come from other disciplines, so there is no shared set of concepts or history. This can be liberating but also infuriating. I’m sure I was not alone in emitting the occasional sigh when during the MOOC rush of 2012, so many “new” discoveries about online learning were reported—discoveries that were already tired concepts in the edtech field

Reviews

John Bowden and Ference Marton, The University of Learning: Beyond Quality and Competence in Higher Education, London: Kogan Page, 1998. ISBN: 0–7494–2292–0. Hardback, x310 pages, £35.00

An Online Tutor for Astronomy: The GEAS Self-Review Library

We introduce an interactive online resource for use by students and college instructors in introductory astronomy courses. The General Education Astronomy Source (GEAS) online tutor guides students developing mastery of core astronomical concepts and mathematical applications of general astronomy material. It contains over 12,000 questions, with linked hints and solutions. Students who master the material quickly can advance through the topics, while under-prepared or hesitant students can focus on questions on a certain topic for as long as needed, with minimal repetition. Students receive individual accounts for study and course instructors are provided with overview tracking information, by time and by topic, for entire cohorts of students. Diagnostic tools support self-evaluation and close collaboration between instructor and student, even for distance learners. An initial usage study shows clear trends in performance which increase with study time, and indicates that distance learners using these materials perform as well as or better than a comparison cohort of on-campus astronomy students. We are actively seeking new collaborators to use this resource in astronomy courses and other educational venues.Comment: 15 pages, 9 figures; Vogt, N. P., and A. S. Muise. 2015. An online tutor for general astronomy: The GEAS self-review library. Cogent Education, 2 (1

Enhancing Practice and Achievement in Introductory Programming With a Robot Olympics

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Interactive-engagement vs traditional methods: A six-thousand-student survey of mechanics test data for introductory physics courses

The complete report from Richard Hake's long-term study of interactive engagement (IE) techniques and their effect on the understanding of physics by non-physics majors. The study analyzed diverse student populations in high schools, colleges, and universities and used pre- and post-instruction testing to determine the gains in each group. IE techniques were shown to improve student's understanding at a significantly higher rate than traditional instruction. Additionally, these IE techniques are applicable to teaching a wide range of topics. Educational levels: Graduate or professional