This paper outlines a methodology to improve the performance of the weakest students through networked hypermedia and in-class exercises. These efforts are an outgrowth of experiments using networked hypermedia in the form of the World Wide Web (WWW) as the basis for networked courseware [1-4]. While initial approaches significantly enhanced the performance of the average and best students, there was no noticeable gain in the performance of the weakest students [4]. They continued to come into class without preparing and expected to somehow condense the learning process into five 55-minute sections every two weeks. In order to enhance the performance of these students, a series of procedures were developed that should increase their performance while minimizing any negative impact on the rest of class. The first procedure uses a networked, Common Gateway Interface (CGI), form-based Student Response System to enhanced communications and expectations between the student and professor. The Student Response System automates the grading of homework assignments, and as a result, facilitates nightly homework assignments without increasing the grading load on the professor. The second component of this methodology involves developing a series of graded, in-class, group exercises that can be easily graded in-class, represents a substantial portion of the final grade, and requires a public presentation of the group's results. Together, these tools and practices form a methodology for reaching the weakest students and enhancing their performance.

Article Free Access Share on Felder's learning styles, Bloom's taxonomy, and the Kolb learning cycle: tying it all together in the CS2 course Authors: Richard A. Howard United States Military Academy, Department of Electrical Engineering and Computer Science, West Point, NY United States Military Academy, Department of Electrical Engineering and Computer Science, West Point, NYView Profile , Curtis A. Carver United States Military Academy, Department of Electrical Engineering and Computer Science, West Point, NY United States Military Academy, Department of Electrical Engineering and Computer Science, West Point, NYView Profile , William D. Lane United States Military Academy, Department of Electrical Engineering and Computer Science, West Point, NY United States Military Academy, Department of Electrical Engineering and Computer Science, West Point, NYView Profile Authors Info & Claims SIGCSE '96: Proceedings of the twenty-seventh SIGCSE technical symposium on Computer science educationMarch 1996Pages 227–231https://doi.org/10.1145/236452.236545Published:01 March 1996Publication History 39citation6,171DownloadsMetricsTotal Citations39Total Downloads6,171Last 12 Months697Last 6 weeks84 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF

Applying a direct random spreading sequence to a digital information sequence prior to multi-h modulation creates a new class of signals called spread-spectrum multi-h (SSMH) signaling. By spreading a known bandwidth efficient modulation scheme, the power spectral density is controlled so that the transmitted spectrum will have a wide, flat mainlobe and rapid sidelobe rolloff. Coincidentally, the power efficient modulation allows transmission at lower signal-to-noise ratios when the receiver knows a priori the spreading sequence and modulation index sequence. Optimal receiver structures are derived and numerically evaluated in an additive white Gaussian noise environment. It is shown that performance is dependent on the spreading sequence, the modulation indexes, and the possible phase states and can exceed direct sequence binary phase-shift keying by 1-2 dB at bit error rates of 10/sup -5/. Composite likelihood ratio analysis reveals a reduction of 50-70% in detectability of completely known SSMH signals vis-a-vis direct-sequence binary phase shift keying (DS/BPSK) at error rates of 10/sup -4/.>