Tyson McMillan, Ph.D.

McClendon M., McMillan T. (2020) Three A’s to Inclusive Access: Tarrant County College’s Case Story. In: Hurley T. (eds) Inclusive Access and Open Educational Resources E-text Programs in Higher Education. Springer, Cham. https://link.springer.com/chapter/10.1007/978-3-030-45730-3_9 DOI: https://doi.org/10.1007/978-3-030-45730-3_9

As a college committed to being student-ready and serving the community, Tarrant County College continually evaluates opportunities to make education more accessible and more affordable. To say that textbooks are expensive would be an understatement, so like many other colleges, TCC is offering an Inclusive Access program through which students will have textbooks on the first day of class at a very affordable cost. Underscoring the benefits of more savings—both in time and in money—for TCC… Show more

As a college committed to being student-ready and serving the community, Tarrant County College continually evaluates opportunities to make education more accessible and more affordable. To say that textbooks are expensive would be an understatement, so like many other colleges, TCC is offering an Inclusive Access program through which students will have textbooks on the first day of class at a very affordable cost. Underscoring the benefits of more savings—both in time and in money—for TCC students, this inclusive access program is called TCC Plus.

This new program is one way the College meets the needs of our increasing population of 21st century students for whom digital technology is a given. For those students who still need to touch or hold a traditional textbook, a reasonably priced print option is available... Show less

http://www.igi-global.com/book/increasing-productivity-efficiency-online-teaching/145650

Title: Increasing Productivity and Efficiency in Online Teaching
Author(s)/Editor(s): Patricia Dickenson (National University, USA); James J. Jaurez (National University, USA)
ISBN13: 9781522503477; EISBN13: 9781522503484

Chapter 12
Micro-Feedback via the Cloud: Sustainable Monitoring of Online Student Responses
Tyson DeShaun McMillan, Tarrant County College, USA

Induction speech delivered May 2, 2014 by Dr. Tyson McMillan. Published in the TCC-Writes Spring 2014 Issue on May 7, 2014. URL: http://issuu.com/tccwrites09/docs/tcc_writes-ptk_issue

The web information behaviors of users as they interacted with a metadata navigator, the Personal Information (PI) Agent, and reflected upon their interaction experiences were studied. The process included studying the complete iterative (repeated) cycle of information needs, information seeking, and information use of users interacting with an internet-based prototype metadata PI Agent tool. Detlor’s theory of web information behaviors of organizational users was utilized as a theoretical… Show more

The web information behaviors of users as they interacted with a metadata navigator, the Personal Information (PI) Agent, and reflected upon their interaction experiences were studied. The process included studying the complete iterative (repeated) cycle of information needs, information seeking, and information use of users interacting with an internet-based prototype metadata PI Agent tool. Detlor’s theory of web information behaviors of organizational users was utilized as a theoretical foundation for studying human-information interactions via the PI Agent tool. The qualitative research design allowed for the use of triangulation within the context of a one-group pretest-posttest design. Triangulation occurred in three phases: (a) observe, (b) collect, and (c) reflect. Observations were made as participants solved three problem situations. Participants’ computer log and print screen data were collected, and follow-up interviews were conducted once all posttest sessions ended to enable users to reflect on their experiences. The three triangulation phases ensured saturation of data and greater depth regarding the participants’ information behaviors. Content analysis occurred via exploratory pattern analysis using the posttest Problem Steps Recorder (PSR) log data and on the six interviewees’ follow-up interview data. Users engaged in iterative cycles of information needs, information seeking, and information use to resolve the presented problem situations. The participants utilized the PI Agent tool iteratively to eliminate their knowledge gaps regarding the presented problem situations. This study was the first to use PSR log data for capturing evidence of the iterative search process as defined by Detlor. The implications for best practices were inspired by participant feedback, and recommendations for further study are made.

Committee: Dr. Guillermo Oyarce (UNT, Major Professor), Dr. Lin Lin (UNT, Member), and Dr. Rajan Alex (WTAMU, Member). Show less

This study examines the accessibility of Web 2.0 websites to the visually impaired. Web accessibility standards are established to maximize the ability of those with impairments to navigate the web. Various computer tools exist to evaluate web HTML content against existing accessibility standards. Using a weighted metric-based formula called the Web Accessibility Barrier (WAB) score, this study adopted an experimental design and compared 88 randomly selected Web 2.0 websites against 88 randomly… Show more

This study examines the accessibility of Web 2.0 websites to the visually impaired. Web accessibility standards are established to maximize the ability of those with impairments to navigate the web. Various computer tools exist to evaluate web HTML content against existing accessibility standards. Using a weighted metric-based formula called the Web Accessibility Barrier (WAB) score, this study adopted an experimental design and compared 88 randomly selected Web 2.0 websites against 88 randomly selected Web 1.0 websites. The study found that Web 2.0 websites are significantly less accessible than Web 1.0 websites. Details of the analysis, evaluation, discussion, and recommendations are included in the paper.
Show less

Utilizing a data mining method in neural networks known as error back-propagation algorithm, this paper analyzes agricultural data in order to discover patterns in the data, and to develop a model that predicts the selling price of beef cattle in Texas. The variables needed for this model were chosen by interviewing experts who offered information pertinent to the agricultural process. Numerical data for the variables utilized five years of data. The relevance analysis is performed using a… Show more

Utilizing a data mining method in neural networks known as error back-propagation algorithm, this paper analyzes agricultural data in order to discover patterns in the data, and to develop a model that predicts the selling price of beef cattle in Texas. The variables needed for this model were chosen by interviewing experts who offered information pertinent to the agricultural process. Numerical data for the variables utilized five years of data. The relevance analysis is performed using a statistical analysis method. After statistical analysis, the statistically significant variables will serve as the input/output needed for the neural networks model. A summary of the results will be analyzed in the conclusion of the paper. Show less