Experiences of Technology Enhanced Learning: What Went Wrong?

نویسندگان

  • Su White
  • Hugh C. Davis
چکیده

The e-learning community is beginning to amass a great deal of experience of successful practice, but typically final project reports and associated papers concentrate only on the successful outcomes. There has been very little published on the innovations that failed or the unexpected and unwanted outcomes of such projects. This experiences paper presents four case studies of projects in which the the authors have been involved over the last 15 years. The contribution of this paper is to focus on the aspects of the projects that were not successful or were unwanted, analyzing the causes. The paper concludes by suggesting that most projects have both successful and unsuccessful components, and that the community would be better informed if they were more often provided with the complete picture.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Advancing AI Research and Applications by Learning from What Went Wrong and Why

Insight often begins with unexpected results. In this view, problems are signposts, not roadblocks, which guide us towards better solutions. Bugs, surprises, and anomalies also become powerful instructional tools that reveal assumptions, expose design flaws, and chart the boundaries of current technology. This perspective motivated our work on this special issue. When researchers publish succes...

متن کامل

Cs 221 Othello Report Demosthenes

This report is intended to inform the reader about our experiences and strategies in programming an artificially intelligent Othello client. More specifically, we will describe what went right, what went wrong, and what we would do if we were to do it again. There is a brief discussion on various searching, training, and evaluation techniques, accompanied by analysis on what we found to work th...

متن کامل

Integrated Intelligence: RobotS Are Here to Stay

Nothing went "wrong," but new research questions came inevitably up. RobotS, in the plural and as physical artifacts to be present in our daily environments, offer a real challenge for AI: the effective integration of perception, cognition, and action in individual and multiple robots. In the talk, I will discuss concrete aspects of this "integrated intelligence," including world modeling and l...

متن کامل

What Went Wrong and Why: Lessons from AI Research and Applications, Papers from the 2006 AAAI Spring Symposium, Technical Report SS-06-08, Stanford, California, USA, March 27-29, 2006

The What Went Wrong and Why workshop is dedicated to the proposition that insight often begins with unexpected results, and that clarity often arrives in the response to surprises and apparent problems. For example, fogged film led Curie to discover radium; a failed culture let Fleming find penicillin; microwave noise let Penzias and Wilson verify the Big Bang. Bugs, glitches, and failures also...

متن کامل

Adaptive Info - Personalizing the Wireless Web: Machine Learning 275 and Business 101

AdaptiveInfo was founded in 1999 by Daniel Billsus and Michael Pazzani to commercialize a university research project on personalizing content delivered to wireless mobile devices such as cell phones and PDAs. At the time it was founded, industry experts predicted that by 2005, wireless carriers would be earning more revenue from data and services such as mobile commerce than voice calls. This ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007