Conference Session

Computers in Education Division Technical Session 11

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Milo Koretsky, Oregon State University

Tagged Divisions

Computers in Education

studentsshouldn't be afraid to ask questions. Sometimes, ideas around status, popularity, or competenceprevent students from asking questions. This fear limits the opportunity for students to usestudios as an environment to learn and grow.” We also see general shifts in beliefs, e.g., from amore “transmission-based” conception of learning to a more constructivist view.ReferencesBlosser, P. (2000). How to Ask the Right Questions. National Science Teachers Association.Brown, J. S., Collins, A., & Duguid, P. (1989). Situated cognition and the culture of learning. Educational researcher, 18(1), 32-42.Campbell, T., Schwarz, C., & Windschitl, M. (2016). What we call misconceptions may be necessary stepping-stones toward making sense of the world

Conference Session

Computers in Education Division Technical Session 3: Digital Learning Part I

Collection

2020 ASEE Virtual Annual Conference Content Access

Authors

Bryan Weber, University of Connecticut

Tagged Divisions

Computers in Education

and procedures for handling assessments.References [1] ABET | ABET accreditation. [Online]. Available: https://www.abet.org/. [2] Criteria for Accrediting Engineering Programs, 2019 – 2020 | ABET, en-US. [Online]. Available: https://www.abet.org/accreditation/accreditation- criteria/criteria-for-accrediting-engineering-programs-2019-2020/. [3] N. E. Adams, “Bloom’s taxonomy of cognitive learning objectives,” Journal of the Medical Library Association : JMLA, vol. 103, no. 3, pp. 152–153, Jul. 2015, issn: 1536-5050. doi: 10.3163/1536-5050.103.3.010. [4] B. S. Bloom, Taxonomy of Educational Objectives: The Classification of Educational Goals, 1st ed. Longman, 1956. [5] C. C. Bonwell and J. A. Eison, Active

Conference Session

Computed Simulation and Animation

Collection

2006 Annual Conference & Exposition

Authors

Raymond Jacquot, University of Wyoming; Cameron Wright, University of Wyoming; Robert Kubichek, University of Wyoming

Tagged Divisions

Computers in Education

. Table 1 Data for a RG58A/U ___________________________________________________________ L’ = 2.5x10-7 H/m C’ = 1.01x10-10 F/m R’ = 0.028 Ω/m -14 G’ = 5.9x10 S/m L = 1000 m f = 3x105 Hz Vg = 10 /0° V ZL = 100 Ω Zg = 50 ΩFigure 2 illustrates the line voltage as a function of location on the line for twenty values of time.It is easy to note the attenuation of the voltage signal as it propagates down the line toward theload due to the lossy nature of the line. There are several ways of presenting the solution to thisproblem in addition to that of employing t as a parameter as in Figure 2. Figure 3

Conference Session

Computing Technology Session 1

Collection

2017 ASEE Annual Conference & Exposition

Authors

Doipayan Roy, Purdue University; Peter Bermel, Purdue University, West Lafayette (College of Engineering); Kerrie A Douglas, Purdue University, West Lafayette (College of Engineering); Heidi A. Diefes-Dux, Purdue University, West Lafayette (College of Engineering); Michael Richey, The Boeing Company; Krishna Madhavan, Purdue University, West Lafayette (College of Engineering); Siddharth Shah

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

,CV,N) Table 6- Average visits to study materials (S) and assessment resources (A)The hypothesis tests comparing Fully Engaged (FE) and Consistent Viewers (CV) groups’average visits to assessments (A) were as follows:Test 1:Null hypothesis: µA,CV,T = µA,FE,TAlternate hypothesis: µA,CV,T < µA,FE,TTest 2:Null hypothesis: µA,CV,N = µA,FE,NAlternate hypothesis: µA,CV,N < µA,FE,NThese tests yield p-values of 0.001 for Thermoelectricity and 0.036 for Nanobiosensors. Takingthe standard threshold of p=0.05, we reject the null hypothesis in both tests and conclude thatConsistent Viewers group access assessments less frequently as compared to Fully Engagedlearners in both courses. The fact that we can accept both alternate hypotheses

Conference Session

Technical Session 6: Modulus Topics Part 2

Collection

2019 ASEE Annual Conference & Exposition

Authors

Ronald Erdei, University of South Carolina; Brantly Edward McCord, Purdue Polytechnic Institute; David M. Whittinghill, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Computers in Education

offering are moregregarious while students in the Spring 2019 offering are friendly yet reserved).AcknowledgementsThis work was supported in part by the National Science Foundation EPSCoR Program underNSF Award # OIA-1655740. Any Opinions, findings and conclusions or recommendationsexpressed in this material are those of the author(s) and do not necessarily reflect those of theNational Science Foundation. (http://scepscoridea.org/MADEinSC/acknowledgements.html).References[1] N. Thomas and R. Erdei, "Stemming stereotype threat: recruitment, retention, and degree attainment in STEM fields for undergraduates from underrepresented backgrounds," in 2018 CoNECD - The Collaborative Network for Engineering and Computing Diversity

Conference Session

Computer Tools for Education

Collection

2007 Annual Conference & Exposition

Authors

Frank Kowalski, Colorado School of Mines; Julia Williams, Rose-Hulman Institute of Technology; Rob Reed, Hewlett-Packard Corporation; Jim Vanides, Hewlett-Packard

Tagged Divisions

Computers in Education

evidenced by comparison ofpre- and post-test scores, have been documented in classes at Colorado School of Mines.1 Page 12.1503.2This tool is also designed to allow for differentiated learning, since the instructor can activatemore than one question at a time and each student can choose the question(s) to which they willrespond. Since it is web based, “just in time” (JiTT) polling is easily implemented.InkSurvey is available for free to the higher education community(http://ticc.mines.edu/hp/survey/) and its use will be demonstrated during this presentation.Rose-Hulman Institute of TechnologyPen-based technologies like tablet PCs afford engineering

Conference Session

Programming for Engineering Students II

Collection

2008 Annual Conference & Exposition

Authors

Patrick Jarvis, University of St. Thomas; Jeff Jalkio, University of St. Thomas; Marty Johnston, University of St. Thomas; Christopher Greene, University of St. Thomas; Mari Heltne, University of St. Thomas

Tagged Divisions

Computers in Education

instructions had to be doable andunambiguous. As the students quickly learned, even when the solution to a problem is wellunderstood, it is sometimes difficult to express the solution in elementary steps.The class then built on the idea of the kind of steps needed in an algorithm by writinginstructions for an imaginary S robot. The S robot was defined to be able to pick up one playingcard from a deck and hold it in its hand. It could make some determination about the card such asits suit or value and it could either put the card back on the top of the deck or discard it to thefloor. The students were again placed in groups, given some playing cards, and assignedproblems to solve of the nature: count the number of cards in the deck. New instructions

Conference Session

Computers in Education (CoED) Engineering Poster Session

Collection

2013 ASEE Annual Conference & Exposition

Authors

Bill M. Diong, Southern Polytechnic State University

Tagged Divisions

Computers in Education

-level class, with twenty-eight survey responses, highlights of the surveyinclude the following: Constrained-response: the questions asked in this category are shown in Table 1. A quarter of the students who responded indicated they did not watch any of the recorded videos at all, leading to an average of only 2.74 videos (out of the thirty available videos) watched by each student. One reason for their failure to do so could be that the instructor stopped sending out weekly reminders that the videos were available for them to watch after the third week of instruction. For those who did watch, about 55% of the students watched the lecture videos in their entirety, while the rest watched only part(s) of the videos. None

Conference Session

COED: Online and Blended Learning Part 1

Collection

2018 ASEE Annual Conference & Exposition

Authors

Swaroop Joshi, Ohio State University; Neelam Soundarajan, Ohio State University; Jeremy Morris, Ohio State University

Tagged Divisions

Computers in Education

graded homeworks are returned to thestudents. The class discussion helps some students, but others remain unclear about the distinctionsbetween the notions of domain, problem in the domain context, and solution. The key questionthat motivated our work was, how do we help students overcome such misconceptions and developdeep understanding?In the CONSIDER approach, following the lecture(s) on the topic, the instructor would post thehomework on the CONSIDER system. The instructor will also specify a deadline by which eachstudent will be required to submit her answer. The homework may be similar to the one abovebut, for this discussion, we assume there is only one question, item (3) from the example. Oncethe instructor has posted the homework, each

Conference Session

Embedded Computing

Collection

2006 Annual Conference & Exposition

Authors

Anshuman Panda, Polytechnic University; Hong Wong, Polytechnic University; Vikram Kapila, Polytechnic University; Sang-Hoon Lee, Polytechnic University

Tagged Divisions

Computers in Education

advanced feedback control algorithms.In recent research, we have developed a low-cost DAC platform which allows microcontrollers 3to be programmed by Matlab and Simulink thus providing an inexpensive tool for dataacquisition and control tasks. This platform is well suited for tasks that require graphical user Page 11.1354.2interface and/or advanced computational capabilities, but do not require stringent hardwareperformance. It uses the advanced computing power of Matlab, the graphical user interface ofSimulink, and Parallax Inc.’s Basic Stamp 2 (BS2) microcontroller4 to provide an environmentwhich allows users to implement

Conference Session

Data Analytics in Education

Collection

2014 ASEE Annual Conference & Exposition

Authors

Matthew A. Verleger, Embry-Riddle Aeronautical Univ., Daytona Beach

Tagged Divisions

Computers in Education

 the  best  word(s)  to  branch  on  at  each  point  to  reduce  the  overall  error.  The  result  tends  to  be  a  more  accurate  tree  (as  each  branching  word  is  explicitly  chosen  to  reduce  the  classification  error),  but  for  a  non-­‐trivial  increase  in  the  amount  of  time  needed  to  identify  the  appropriate  words.    Each  item  took  between  8  and  10  hours  for  this  algorithm  to  identify  the  final

Conference Session

Computers in Education Division - General Technical Session 1

Collection

2013 ASEE Annual Conference & Exposition

Authors

Jacob P. Moore, Virginia Tech; Michel Paul Pascale; Christopher B. Williams, Virginia Tech; Chris North, Virginia Tech

Tagged Divisions

Computers in Education

Foundation. The authors would also like to acknowledge Lauren Gibboney, JosephLuke, James McIntyre, John Nein, and Joshua Rush for their work developing the Adaptive Maptool.6. References[1] T. L. Russell, The No Significant Difference Phenomenon. North Carolina State University, 1999.[2] D. F. Dansereau, “Node-Link Mapping Principles for Visualizing Knowledge and Information,” in Knowledge and Information Visualization, vol. 3426, S.-O. Tergan and T. Keller, Eds. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005, pp. 61–81.[3] G. W. Ellis, A. Rudnitsky, and B. Silverstein, “Using concept maps to enhance understanding in Engineering Education,” International Journal of Engineering Education, vol. 20, pp. 1012–1021, 2004.[4] M. W. A

Conference Session

Computer Simulation and Animation I

Collection

2008 Annual Conference & Exposition

Authors

Othoniel Rodriguez-Jimenez, Polytechnic University of Puerto Rico; Carlos Pacheco, Polytechnic University of Puerto Rico; Nelson Reyes-Aviles, Polytechnic University of Puerto Rico; Marisol Mercado, Polytechnic University of Puerto Rico

Tagged Divisions

Computers in Education

these various use cases unless otherwise disallowed by the assignedprivileges. See main menu options below.The AdministratorThe administrator will assign roles to new user accounts, but can also create customized roles byassigning a customized set of use cases to a user. S/he can also assign the new user to adepartment and course code prefix. A less frequent activity of the administrator is to edit thereference tables which are used to fill the department names, program names, program-department associations, course code department prefix, list of program outcomes, and others.When deploying a new installation of Unisyllabus the administrator will spend some timesetting-up the reference tables but afterwards his/her role is mostly limited to

Conference Session

Computers in Education Poster Session

Collection

2006 Annual Conference & Exposition

Authors

Ece Yaprak, Wayne State University

Tagged Divisions

Computers in Education

the face-to-face relationship between an instructor and students while using a widevariety of virtual learning environments in order to help increase student learning. A widevariety of technological options are now available such as instructional audio and videotools along with a broad range of instructional data3,4.(___)’s College of Engineering (CoE) has embarked on new delivery methods a fewyears ago. Distance learning facilities at (___)’s CoE utilized a custom-built system by aprivate company. The system operated via ISDN technology through a provider and wascapable of data transfers of up to 12 channels (56K per channel) for audio and video -resulting in a fairly sharp and fast signal of 672K. Other combinations (2 channel, 6channel

Conference Session

Applications of Online Computing

Collection

2014 ASEE Annual Conference & Exposition

Authors

Jess W. Everett, Rowan University; Kaitlin Engle Mallouk, Rowan University; Joseph Francis Stanzione III, Rowan University; Jenahvive K. Morgan, Rowan University

Tagged Divisions

Computers in Education

similar ones. Where three scored problems in a common areaare assigned, the effect of voluntary un-scored practice is not enough to improve performance ona fourth scored problem, for which no practice is provided, regardless of how practice is 11provided. Given the voluntary nature of the practice problems studied here, and the ease withwhich they can be provided with systems such as PathFinder, their use is recommended,especially related practice problems. Future work can focus on more difficult problems. Studentscan be directly asked why they do or do not use practice problems.References1 Bonham, S. W., Deardorff, D. L., & Beichner, R. J. (2003). Comparison of student performanceusing web and

Conference Session

General Technical Session 1

Collection

2014 ASEE Annual Conference & Exposition

Authors

Perry Samson, University of Michigan

Tagged Divisions

Computers in Education

. Page 24.1181.8One initial clustering effort, based on student self-reports of physical and emotional statedemonstrates a strong relationship in outcomes and emotional state. While this is not necessarilysurprising this result raises questions about what responsibility do instructors have to identifystudents having emotional distress? And, once identified, what are the best strategies for dealingwith the students who score low in self reported wellness?ReferencesAnaya, A. R. and J. G. Boticario (2009). A Data Mining Approach to Reveal Representative Collaboration Indicators in Open Collaboration Frameworks. 2nd International Conference On Educational Data Mining. Cordoba, Spain.Baker, R. S. J. d. (2010). Data Mining. International

Conference Session

Special Session on Fixed-Point Education

Collection

2007 Annual Conference & Exposition

Authors

David Anderson, Georgia Institute of Technology; Tyson Hall, Southern Adventist University

Tagged Divisions

Computers in Education

AC 2007-2711: TEACHING HARDWARE DESIGN OF FIXED-POINT DIGITALSIGNAL PROCESSING SYSTEMSDavid Anderson, Georgia Institute of TechnologyTyson Hall, Southern Adventist University Page 12.1360.1© American Society for Engineering Education, 2007 Session: 2711 Teaching Hardware Design of Fixed-Point Digital Signal Processing Systems David V. Anderson1 and Tyson S. Hall2 1 Georgia Institute of Technology, Atlanta, GA 30332–0250, dva@ece.gatech.edu2 Southern Adventist University, Collegedale, TN 37315–0370, tyson@southern.edu

Conference Session

Technical Session 2: Embedded Systems

Collection

2019 ASEE Annual Conference & Exposition

Authors

Gabriel R. Burks, University of Illinois, Urbana-Champaign; Jennifer R. Amos, University of Illinois, Urbana-Champaign; Colin Widmer Castleberry, University of Illinois, Urbana-Champaign

Tagged Topics

Diversity

Tagged Divisions

Computers in Education

and its resulting variables (roughness and rAVGCIR) byinvestigating relationships between the new experimental values and values of known relevancesuch as grade point average.Such computer-based assessments will prove to provide a more fair and equitable assessment ofdiverse student populations and their respective demographic subgroups. A better understandingof the individual components that comprise a student, especially when presented in a simple andeasily digestible manner, is surely to improve the instruction and learning experiences for allstudents.AcknowledgementsThis work is supported by NSF IUSE/PFE:RED - #1623141and covered under University ofIllinois IRB #14864.References[1] C. Ricketts and S. Wilks, "Improving student

Conference Session

Modeling and Simulation

Collection

2016 ASEE Annual Conference & Exposition

Authors

Elif Miskioglu, Bucknell University; Kaela M Martin, Embry-Riddle Aeronautical University, Prescott

Tagged Divisions

Computers in Education

“engineering intuition.”References1 Raskin, P. Decision-Making by Intuition--Part 1: Why You Should Trust Your Intuition. Chemical Engineering 95, 100 (1988).2 Gigerenzer, G. Short cuts to better decision making. (Penguin, 2007).3 Kahneman, D. Thinking, fast and slow. (Farrar, Strauss, and Giroux, 2011).4 Elms, D. G. & Brown, C. B. Intuitive decisions and heuristics–an alternative rationality. Civil Engineering and Environmental Systems 30, 274-284 (2013).5 Dreyfus, S. E. & Dreyfus, H. L. A Five-Stage Model of the Mental Activities Involved in Directed Skill Acquisition (A155480). (1980).6 Chen, J. C., Whittinghill, D. C. & Kadlowec, J. A. Classes that click: Fast, rich feedback to enhance

Conference Session

Laboratory Applications of Computers

Collection

2014 ASEE Annual Conference & Exposition

Authors

Abul K. M. Azad, Northern Illinois University; Pramod P. Kaushik, Northern Illinois University

Tagged Divisions

Computers in Education

needed by a student or a researcher.15, 16There are a few simple steps to implement a remote laboratory (Figure 1): Figure 1: Basic concept of remote laboratories. a) The first and foremost thing is that the equipment should have interfaceability with a computer (or with a networked device) along with the ability to exchange its input(s) and output(s) as needed to perform experiments. b) The next required item is a local computer that will provide the processing requirement for an experiment along with hosting a graphical user interface (GUI). The GUI will allow a remote user to perform experiments using the local computer without any

Conference Session

Computational Tools and Simulation III

Collection

2009 Annual Conference & Exposition

Authors

Krishna Madhavan, Purdue University; Jacob Schroeder, Clemson University; Hanjun Xian, Clemson University

Tagged Divisions

Computers in Education

significantly higher; grade) more students dropped the courseFoertsch, J.28 Web-based Replaced (1 Undergraduate Survey Experimental gave lecture term) students (277) significantly higher Page 14.592.6 ratings for the courseHaag, S.29 Web-based Replaced (1 22 graduate and Survey & No significant

Conference Session

Computer-Based Learning Models

Collection

2014 ASEE Annual Conference & Exposition

Authors

Mihaela Vorvoreanu, Purdue University, West Lafayette

Tagged Divisions

Computers in Education

, 2008).6 Computing Research Association. Cyberinfrastructure for education and learning for the future: A vision and research agenda. (Computing Research Association, 2005).7 Boyer, E. L. The Boyer Commission on Educating Undergraduates in the Research University, Reinventing undergraduate education: A blueprint for America's research universities. (Stony Brook, N.Y., 1998).8 Mitchell, W. J., Inouye, A. S. & Blumenthal, M. S. (National Academies Press, Washington, D.C., 2003).9 Barak, M., Lipson, A. & Lerman, S. Wireless laptops as means for promoting active learning in large lecture halls. Journal of Research on Technology in Education 38, 245-263 (2006).10 Barak, M. & Rafaeli

Conference Session

Computers in Education General Technical Session II

Collection

2011 ASEE Annual Conference & Exposition

Authors

Mihaela Vorvoreanu, Purdue University; Quintana Clark, Purdue University; Geovon Boisvenue, Purdue University; Stephen Paul Woodall, Purdue University

Tagged Divisions

Computers in Education

network. Page 22.1306.12References: 1. cross-tab. (2009). Online Reputation in a Connected World. Retrieved from: http://www.microsoft.com/privacy/dpd/ 2. Palfrey, J., & Gasser, U. (2008). Born Digital: Understanding the First Generation of Digital Natives. Philadelphia: Basic Books. 3. Hoofnagle, C. J., King, J., Li, S., & Turrow, J. (2010). How different are young adults from older adults when it comes to information privacy attitudes and policies Retrieved from: http://ssrn.com/abstract=1589864 4. Debatin, B., Lovejoy, J. P., Horn, A.-K., & Hughes, B. N. (2009

Conference Session

Computers in Education Division Poster Session

Collection

2018 ASEE Annual Conference & Exposition

Authors

Dazhi Yang, Boise State University; Steve R. Swasnon; Bhaskar B. C. Chittoori, Boise State University; Youngkyun Baek, Boise State University

Tagged Divisions

Computers in Education

; discussion; discussion; decomposition, between group between group testing; communication discussion discussion; try to identifying an etc.) see what works issue(s); reprogramming; retesting (physical actions) Endorsed What does a robot Think about the Talk about ideas; narrative do; what are the blocks you can what we are (abstraction, data parts or pieces

Conference Session

Computers in Education Poster Session

Collection

2011 ASEE Annual Conference & Exposition

Authors

Frank T. Fisher, Stevens Institute of Technology; Hong Man, Stevens Institute of Technology

Tagged Divisions

Computers in Education

Undergraduate Education in Science, Mathematics, Engineering, and Technology. Advisory Committee to the National Science Foundation, Directorate for Education and Human Resources: Arlington, VA, 1998.3. Carr, S., What Are We Waiting For? Put Engineering First! Excellence in Higher Education, 8(3), 1999.4. Belytschko, T., A. Bayliss, C. Brinson, S. Carr, W. Kath, S. Krishnaswamy, B. Moran, J. Nocedal, and M. Peshkin, Mechanics in the Engineering First Curriculum at Northwestern University. International Journal of Engineering Education, 13(6): p. 457-472, 1998.5. Grose, T., Starting over at Sherbrooke. ASEE Prism, 10(4): p. 24-27, 2000.6. Culver, R.D., D. Woods, and P. Fitch, Gaining Professional Expertise through Design

Conference Session

Computers in Education 6: Best of CoED

Collection

2021 ASEE Virtual Annual Conference Content Access

Authors

Sherif Abdelhamid, Virginia Military Institute; Yousef Jalali, Virginia Polytechnic Institute and State University; Andrew Katz, Virginia Polytechnic Institute and State University

Tagged Divisions

Computers in Education

is evident in the results presented in this paper. Ourgoal here is not to make a conclusive argument about the connection between research topics andcollaborations across universities but rather highlight that the changes in major research areas,for example, in response to funding opportunities, may play a role in connecting researchers withdifferent degrees of expertise across institutions; future research may examine suchmulti-variable relationships.References 1. Bozeman, B., Fay, D., and Slade, C.P. (2013). Research collaboration in universities and academic entrepreneurship: the-state-of-the-art, Journal of Technology Transfer, 38, 1, 1-67. 2. Jones, B.F., Wuchty, S., Uzzi, B. (2008). Multi-university research teams

Conference Session

Software Engineering Concepts

Collection

2017 ASEE Annual Conference & Exposition

Authors

Hakam Alomari, Miami University; James D Kiper, Miami University; Gursimran Singh Walia; Katharine Zaback

Tagged Divisions

Computers in Education

Software: Evolution and Process.Dr. James D Kiper, Miami University James Kiper is Chair and Professor of the Department of Computer Science and Software Engineering at Miami University. He teaches a variety of courses across the CS and SE curricula. His research is in the areas of software testing, software risk assessment, design rationale, and computer science and software engineering teaching and learning.Dr. Gursimran Singh Walia Gursimran S. Walia is an associate professor of Computer Science at North Dakota State University. His main research interests include empirical software engineering, software engineering education, human factors in software engineering, and software quality. He is a member of the IEEE

Conference Session

Data Analysis and Assessment

Collection

2015 ASEE Annual Conference & Exposition

Authors

Cory Brozina, Virginia Tech; David B. Knight, Virginia Tech, Department of Engineering Education

Tagged Divisions

Computers in Education

: drivers, developments and challenges. International Journal of Technology Enhanced Learning, 4(5), 304-317.12) Gray, G. (2014). A Review of Psychometric Data Analysis and Applications in Modelling of Academic Achievement in Tertiary Education. Journal of Learning Analytics, 1(1), 75-106.6) House, W. (2011). Winning the Future. Retrieved 8/30/14, from www.whitehouse.gov/winning-the-future17) Jayaprakash, S. M., Moody, E. W., Lauría, E. J., Regan, J. R., & Baron, J. D. (2014). Early Alert of Academically At-Risk Students: An Open Source Analytics Initiative. Journal of Learning Analytics, 1(1), 6-47.15) Johnson, L., Adams Becker, S., Estrada, V., & Freeman, A. (2014). NMC Horizon Report: 2014 Higher

Conference Session

Technical Session 7: Online and Distributed Learning

Collection

2019 ASEE Annual Conference & Exposition

Authors

Taylor V. Williams, Purdue University-Main Campus, West Lafayette (College of Engineering); Kerrie A. Douglas, Purdue University-Main Campus, West Lafayette (College of Engineering); Peter Bermel, Purdue University-Main Campus, West Lafayette (College of Engineering); Hillary E. Merzdorf, Purdue University-Main Campus, West Lafayette (College of Engineering)

Tagged Divisions

Computers in Education

coursecontent occurs within the 14 days following the official state date. The left edge of the graphcorresponds with the official start date of each course. The official end date of each course isshown with a black dotted line. Each seven days until the end date is shown with a dashedvertical white line (with every fourth week shown as a solid line).Cluster C1—the top layer in nano540x’s timeline, seen in Figure 4—shows a group of learnerswho stopped interacting with the course almost precisely when the course ended. This behavioris in contrast with nano540x's C3 and C4 which each also began with about 100 learners.Although more of C3 and C4’s learners departed early in the course than did C1’s, many more ofC3 and C4's learners continued to access the

Conference Session

Computer Education Management Tools

Collection

2007 Annual Conference & Exposition

Authors

Richard House, Rose-Hulman Institute of Technology; Anneliese Watt, Rose-Hulman Institute of Technology; Julia Williams, Rose-Hulman Institute of Technology

Tagged Divisions

Computers in Education

student’s peer reviewed document, prepared for inventory Content—RDC RDC on the comment inventory sheets stands for Rhetorically-Driven Content analysis,corresponding to what many have called higher-order concerns.17 We teach the course with a Page 12.278.7rhetorical emphasis, by which we mean students are taught to evaluate communication by the degree towhich it successfully adapts to its rhetorical situation: its audience(s), genre (communication type),purpose, topic, and specific context (recognizing that communication does not occur ‘in a vacuum’).Rhetorically-driven content analysis, then, will comment, for example, on whether the