It Doesn’t Matter Whether It’s Actually Illegal. In Fact, It’s Actually Worse Because It’s Probably Legal.

A Senate investigation has revealed that between 2009 and 2012, Apple avoided paying taxes on $44 billion in profits that it earned offshore.

Where the corporation did pay taxes on its offshore earnings, it paid at a much reduced rate. Taking advantage of low corporate tax rates in Ireland, it made that country the base–at least for tax purposes–of some of its vast international operations. But, Ireland’s corporation-friendly 12% tax rate wasn’t low enough. So Apple used its leverage to arrange a special tax deal in Ireland and pays just 2% on the profits that it earns through Apple Sales International.

But that’s just proverbial the tip of Apple’s tax avoidance iceberg.

It turns out that Apple Operations International, which has accounted for more than 30% of the company’s total profits—an estimated $30 billion between 2009 and 2012–does not have a tax status in any nation. So, the billions of dollars in profits which that entity produces have somehow gone completely tax free.

As close as investigators have been able to determine, in 2011, a particularly profitable year, Apple paid about $10 million in taxes on net international earnings of about $22 billion. Continue reading

Transcript: President Obama’s Commencement Speech at Ohio State

PRESIDENT OBAMA: Well, thank you so much. Everybody, please be seated. Thank you, Dr. Gee, for the wonderful introduction. I suspect the good President may have edited out some other words that were used to describe me. (Laughter.) I appreciate that. But I’m going to let Michelle know of all the good comments.

To the Board of Trustees; Congresswoman Beatty; Mayor Coleman; and all of you who make up The Ohio State University for allowing me to join you — it is an incredible honor.

And most of all, congratulations, Class of 2013! (Applause.) And of course, congratulations to all the parents, and family, and friends and faculty here in the Horseshoe — this is your day as well. (Applause.) I’ve been told to ask everybody, though, please be careful with the turf. Coach Meyer has big plans for this fall. (Laughter.)

I very much appreciate the President’s introduction. I will not be singing today. (Laughter.)

AUDIENCE: Aww — (laughter.)

PRESIDENT OBAMA: It is true that I did speak at that certain university up north a few years ago. But, to be fair, you did let President Ford speak here once — and he played football for Michigan! (Laughter.) So everybody can get some redemption.

In my defense, this is my fifth visit to campus in the past year or so. (Applause.) One time, I stopped at Sloppy’s to grab some lunch. Many of you — Sloopy’s — I know. (Laughter.) It’s Sunday and I’m coming off a foreign trip. (Laughter.) Anyway, so I’m at Sloopy’s and many of you were still eating breakfast. At 11:30 a.m. (Laughter.) On a Tuesday. (Laughter.) So, to the Class of 2013, I will offer my first piece of advice: Enjoy it while you can. (Laughter.) Soon, you will not get to wake up and have breakfast at 11:30 a.m. on Tuesday. (Laughter.) And once you have children, it gets even earlier. (Laughter.)

But, Class of 2013, your path to this moment has wound you through years of breathtaking change. You were born as freedom forced its way through a wall in Berlin, tore down an Iron Curtain across Europe. You were educated in an era of instant information that put the world’s accumulated knowledge at your fingertips. And you came of age as terror touched our shores; and an historic recession spread across the nation; and a new generation signed up to go to war. Continue reading

The MOOC and the Meaning of “Teaching”

Professor Kaye Adkins, author of this guest post, teaches at Missouri Western State University in St. Joseph, Missouri.

In its May 15 edition, the Wall Street Journal  published an interview with Daphne Koller a co-founder and co-chief executive of Coursera (“Coursera Defends MOOCs as Road to Learning,” Managing, p. B5). In the interview, Koller explains “where teachers fit into the new model” offered by MOOCs (massive open online classes).  After reading the interview, I now have a better of sense of why MOOCs make me, and so many college professors, uncomfortable. The interview revealed that a fundamental misunderstanding of effective, engaging teaching is at the core of the MOOC philosophy.

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But Would It Count toward Promotion and Tenure?

The following item has appeared in Futility Closet [http://www.futilitycloset.com/2013/05/17/in-brief/?utm_source=feedburner&utm_medium=feed&utm_campaign=Feed%3A+FutilityCloset+%28Futility+Closet%29]

In 1962, botanist Reid Moran published an article in the journal Madroño recounting his collection of a bush rue on a mountaintop in Baja California.

The paper’s title was “Cneoridium dumosum (Nuttall) Hooker f. Collected March 26, 1960, at an Elevation of About 1450 Meters on Cerro Quemazón, 15 Miles South of Bahía de Los Angeles, Baja California, México, Apparently for a Southeastward Range Extension of Some 140 Miles.”

The text read, “I got it there then.”

This was followed by a 28-line acknowledgment section in which Moran thanked the person who had reviewed the text, his college professors, and the person who had mailed the manuscript.

College Educators from across U.S. Take on Ways Online Classes Can Help or Wreck a Student’s Hopes for a Good Education

CFHE

COLUMBUS, OHIO—Faculty and staff members from colleges and universities across the U.S. met in Ohio over the weekend to address the some of the toughest issues facing student success in America’s higher education system.

The rapid drive to move students’ classes from campuses to online and the Gold Rush mentality behind many entrepreneurs pushing the new teaching schemes — especially the latest incarnation known as MOOCs (massive open online classes) — was a hot topic at the 5th national meeting of the Campaign for the Future of Higher Education (CFHE).

“The use of MOOCs as substitutes for classes where students get feedback and guidance from a live teacher undermines our campaign’s key principle—that colleges in this country need to be affordable and give our people a good quality education,” says Eileen Landy, professor of sociology at ­­­­­­State University of New York, Old Westbury and an officer in United University Professions.

Proposals to use MOOCs are popping up across the U.S. through spin-offs from Stanford, Harvard and other big name universities as well as from for-profit vendors.

“Let’s not be confused about this,” says Steve Hicks, President of the Association of Pennsylvania State College & University Faculties. “A Harvard MOOC is not a Harvard education and we need to help parents to understand that.” Continue reading

The Little Engines That Could

In the recent blizzard of press over the cost of higher education, the impact of technology, and the continued relevancy of the curriculum, much of the ongoing effort by higher education institutions to improve their environment has been lost as other more polarizing stories pushed to the front of the queue.

For much of their history, most colleges and universities stood as well-defended “cities upon a hill,” isolated by perceived images of wide green lawns, brick walls and massive gates sending an unwelcome and exclusionary message to outsiders. By concentrating on the academic enterprise, colleges and universities failed to develop an organic, systemic relationship with their environment. As urban environments changed  – and many older urban centers declined — local pressure to increase tax revenue set higher education institutions against their communities.

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MOOCs: Skim Milk Masquerades as Cream

The New Yorker writer George Packer (who served in Peace Corps in Togo just a few years before I did–more on that in a minute) wrote a piece for The New York Times today. Entitled “Celebrating Inequality,” it blasts our new culture based around a new elite of celebrity and, of course, money. In it, Packer writes:

This new kind of celebrity is the ultimate costume ball, far more exclusive and decadent than even the most potent magnates of Hollywood’s studio era could have dreamed up.

That made me think of MOOCs, their origin and their supporters.

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Annotated Bibliography of Machine Grading of Essays, Part 2

Ericsson, Patricia Freitag & Haswell, Richard H. (Eds.). (2006). Machine Scoring of Student Essays: Truth and Consequences. Logan, UT: Utah State University Press.*

A compilation of seventeen original essays by teachers of composition discussing the assessment methodology and educational impact of commercial computer-based essay-rating software such as the College Board’s WritePlacer Plus, ACT’s e-Write, ETS’s e-rater, Measurement, Inc.’s Project Essay Grade (PEG), as well as essay feedback software such as Vantage Learning’s MY Access!and ETS’s Criterion. Addresses many issues related to the machine scoring of writing: historical understandings of the technology (Ken S. McAllister & Edward M. White; Richard Haswell; Bob Broad); investigation into the capability of the machinery to “read” student writing (Patricia F. Ericsson; Chris M. Anson; Edmund Jones; William Condon); discussions of how students have reacted to machine scoring (Anne Herrington & Charles Moran); analysis of the poor validity in placing students with machine-produced scores (Richard N. Matzen, Jr. & Colleen Sorensen; William W. Ziegler; Teri T. Maddox); a comparison of machine scores on student essays with writing-faculty evaluations (Edmund Jones); a discussion of how writers can compromise assessment by fooling the computer (Tim McGee); the complicity of the composition discipline with the methods and motives of machine scoring (Richard Haswell); writing instructors’ positive uses of some kinds of computer analysis, such as word-processing text-checkers and feedback programs (Carl Whithaus); an analysis of the educational and political ramifications of using automated grading software in a WAC content course (Edward Brent & Martha Townsend); and an analysis of commercial promotional material of software packages (Beth Ann Rothermel). Includes a 190-item bibliography of machine scoring of student writing spanning the years 1962-2005 (Richard Haswell), and a glossary of terms and products.

Wilson, Maja. (2006). Apologies to Sandra Cisneros: How ETS’s computer-based writing assessment misses the mark. Rethinking Schools 20(3).*

Wilson tested Educational Testing Service’s Critique, the part of Criterion that provides “diagnostic feedback,” by sending it Sandra Cisneros’s chapter “My Name,” from The House on Mango Street.Critique found problems in repetition, sentence syntax, sentence length, organization, and development. Wilson then rewrote “My Name” according to Critique’s recommendations, which required adding an introduction, a thesis statement, a conclusion, and 270 words, turning it into a wordy, humdrum, formulaic five-paragraph essay.

Sandene, Brent, Horkay, Nancy, Bennet, Randy Elliot, Allen, Nancy, Braswell, James, Kaplan, Bruce & Oranje, Andreas. (2005). Part II: Online writing assessment. Online assessment in mathematics and writing: Reports From the  NAEP Technology-Based Assessment Project, Research and Development Series.  NCES 2005–457). U.S. Department of Education, National Center for Education Statistics. Washington, DC: U.S. Government Printing Office.

While not a traditional peer-reviewed publication, the NAEP research report is considered a high-quality scholarly source; it describes the results of the 2002 Writing Online study of a national sample of eighth graders writing online and compared the results to those students taking the traditional pencil-and-paper format of the test. The report is a comprehensive comparison, which includes the machine scoring of essays using e-rater 2.0, with one subsection on the AES (pp. 37-44). Results of the study “showed that the automated scoring of essay responses did not agree with the scores awarded by human readers.” Moreover, AES “produced mean scores that were significantly higher” than those awarded by human readers and that the human readers “agreed with each other” at higher rates than the agreement between the AES scores and those produced by the human readers. In rank ordering essay, again human readers and AES did not agree at the same rates as human readers did with each other.

Penrod, Diane. (2005). Composition in Convergence: The Impact of New Media on Writing Assessment. Mahwah, New Jersey: Lawrence Erlbaum.*

Argues that since writing and writing assessment are intertwined, and since writing and writing standards are rapidly changing under the impact of digital technology, machine scoring cannot keep up: “The current push for traditional assessment standards melding with computer technology in forms like the Intelligent Essay Assessor, E-rater, and other software programs provides a false sense of establishing objective standards that appear to be endlessly repeated across time and space” (p. 164). Continue reading

Annotated Bibliography on Machine Grading of Essays, Part 1

Prepared by the NCTE Task Force on Writing Assessment

The following annotated bibliography on machine scoring and evaluation of essay-length writing is based on the 2012 published bibliography in the Journal of Writing Assessment 5 (compiled by Richard Haswell, Whitney Donnelly, Vicki Hester, Peggy O’Neill, and Ellen Schendel).

The bibliography was compiled by reviewing recent scholarship on machine scoring of essays, also referred to as automated essay scoring (AES), using databases such as ERIC and CompPile. Entries were selected for their attention to machine scoring of essays and publication in peer-reviewed venues (with exceptions noted). We also endeavored to cover the breadth of the issues addressed in the research without being overly redundant. We avoided publications that were very narrowly focused on highly technical aspects of assessment. The earliest research — such as Ellis Page’s 1966 piece in Phi Delta Kappan, “The Imminence of Essay Grading by Computer” — is not included because many more recent entries provide a review of the early development of machine scoring.

The bibliography is organized by publication date, with the most recent entries appearing first. Entries that have been excerpted from the published JWA bibliography are indicated by an asterisk.

Klobucar, Andrew, Deane, Paul, Elliot, Norbert, Raminie, Chaitanya, Deess, Perry & Rudniy, Alex. (2012). Automated essay scoring and the search for valid writing assessment. In Charles Bazerman et al. (Eds.) International Advances in Writing Research: Cultures, Places, Measures(pp. 103-119). Fort Collins, CO: WAC Clearinghouse & Parlor Press.

This chapter reports on an ETS and New Jersey Institute of Technology research collaboration that used Criterion, an integrated instruction and assessment system that includes automated essay scoring. The purpose of the research was “to explore ways in which automated essay scoring might fit within a larger ecology as one among a family of assessment techniques supporting the development of digitally enhanced literacy” (105). The study used scores from multiple writing measures including the SAT-W, beginning of the semester impromptu essays scored by Criterion, an essay written over an extended time line scored by faculty, end of semester portfolios, and course grades. The researchers compare the scores and conclude that when embedded in a course, AES can be used as “an early warning system for instructors and their students.” Authors also noted concerns that over-reliance on AES could result in a fixation on error and surface features such as length.

Perelman, Les. (2012). Construct validity, length, score, and time in holistically graded writing assessments: The case against automated essay scoring (AES). In Charles Bazerman et al. (Eds.) International Advances in Writing Research: Cultures, Places, Measures (pp. 121-150). Fort Collins, CO: WAC Clearinghouse & Parlor Press.  

An accessible critique of the writing tasks (the timed impromptu) and the automated essay scoring process. The author argues that while “the whole enterprise of automated essay scoring claims various kinds of construct validity, the measures it employs substantially fail to represent any reasonable real-world construct of writing ability” (p. 121).  He explains how length affects scoring: for short impromptus, length correlates to scores, but once more time is given to write and subjects are known in advance, the influence of length on scores diminishes.  He also explains how AES is different from holistic scoring in spite of a single number being generated because that number is generated by a set of analytical measures. These individual measures (e.g., word length, sentence length, grammar, and mechanics) are not the same construct it purports to measure (writing ability). The AES program discussed is primarily the ETS e-rater 2.0 system because ETS has been more transparent about it than other AES developers. Perelman draws on his own research into AES, many ETS technical reports and peer-reviewed research in making his argument. Continue reading

Machine Scoring Fails the Test

Approved by the NCTE Executive Committee, April 2013

[A] computer could not measure accuracy, reasoning, adequacy of evidence, good sense, ethical stance, convincing argument, meaningful organization, clarity, and veracity in your essay. If this is true I don’t believe a computer would be able to measure my full capabilities and grade me fairly. – Akash, student

[H]ow can the feedback a computer gives match the carefully considered comments a teacher leaves in the margins or at the end of your paper? – Pinar, student

(Responses to New York Times The Learning Network blog post, “How Would You Feel about a Computer Grading Your Essays?”, 5 April 2013)

Writing is a highly complex ability developed over years of practice, across a wide range of tasks and contexts, and with copious, meaningful feedback. Students must have this kind of sustained experience to meet the demands of higher education, the needs of a 21st-century workforce, the challenges of civic participation, and the realization of full, meaningful lives.

As the Common Core State Standards (CCSS) sweep into individual classrooms, they bring with them a renewed sense of the importance of writing to students’ education. Writing teachers have found many aspects of the CCSS to applaud; however, we must be diligent in developing assessment systems that do not threaten the possibilities for the rich, multifaceted approach to writing instruction advocated in the CCSS. Effective writing assessments need to account for the nature of writing, the ways students develop writing ability, and the role of the teacher in fostering that development.

Research1 on the assessment of student writing consistently shows that high-stakes writing tests alter the normal conditions of writing by denying students the opportunity to think, read, talk with others, address real audiences, develop ideas, and revise their emerging texts over time. Often, the results of such tests can affect the livelihoods of teachers, the fate of schools, or the educational opportunities for students. In such conditions, the narrowly conceived, artificial form of the tests begins to subvert attention to other purposes and varieties of writing development in the classroom. Eventually, the tests erode the foundations of excellence in writing instruction, resulting in students who are less prepared to meet the demands of their continued education and future occupations. Especially in the transition from high school to college, students are ill- served when their writing experience has been dictated by tests that ignore the ever-more complex and varied types and uses of writing found in higher education.

Note: (1) All references to research are supported by the extensive work documented in the annotated bibliography attached to this report. The bibliography is drawn from a body of independent and industry research that supports other critiques of machine scoring, such as the Professionals Against Machine Scoring Of Student Essays In High-Stakes Assessment Petition Initiative.

These concerns — increasingly voiced by parents, teachers, school administrators, students, and members of the general public — are intensified by the use of machine-scoring systems to read and evaluate students’ writing. To meet the outcomes of the Common Core State Standards, various consortia, private corporations, and testing agencies propose to use computerized assessments of student writing. The attraction is obvious: once programmed, machines might reduce the costs otherwise associated with the human labor of reading, interpreting, and evaluating the writing of our students. Yet when we consider what is lost because of machine scoring, the presumed savings turn into significant new costs — to students, to our educational institutions, and to society.

Here’s why: Continue reading