2nd Graduate Research Workshop | April 29, 2022

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All submissions must be uploaded through EasyChair by April 7, 2022.

Link for Submission: https://easychair.org/conferences/?conf=bsugrw2022

Call for Papers

Presentation template (PPT)

Guide for Creating Video Presentations

Criteria for Abstract Acceptance

All abstracts MUST INCLUDE the following:

  • Hypothesis or statement about the problem being investigated and why the research is important;
  • Methods and controls;
  • Results and discussion of findings;
  • Conclusions, future research, and key references;
  • Acknowledgement of funder(s); and Academic mentor

Accepted Oral abstracts will be listed in the BSU Graduate research brochure. Cash awards will be given for the top poster and oral presentations for each STEM category. Graduate students will be reviewed in separate award categories. Awards will be announced during the workshop at the closing.

Abstract Categories

Abstracts can be submitted in the following broad STEM categories:

  • Education
  • Computer Sciences
  • Information Management
  • Science and Mathematics Education

Submission of abstracts for review must also adhere to the following guidelines:

  • Only one (1) oral abstract can be submitted per student. However, a student may be listed as a co-author on a second abstract.
  • Students working in the same lab must independently submit original abstracts. Identical abstracts submitted by different students will be automatically rejected.
  • The primary author will present the project during the Workshop. NO co-presentations are allowed.
  • Approval must be obtained from all co-authors listed on the abstract. Failure to do so will result in the immediate rejection of the abstract.
  • Students must obtain approval from faculty advisor(s)/research mentor(s) before submitting the abstract. Failure to do so will result in the immediate rejection of the abstract.
  • Abstracts must be written by the student and reviewed by the faculty or research mentor.
  • Abstracts must adhere to the highest quality standards, with correct grammar, spelling and sentence structure, i.e., with editing and proofreading prior to submission.

A guide to developing the abstract and a sample abstract are included at the end of these guidelines.

Abstract Review Process

All abstract submissions will be reviewed for:

  • Originality and innovation;
  • Scientific content supported by quantitative information and references;
  • Merit of the research;
  • Quality of written content; and
  • Adherence to guidelines and format.

Abstracts will be reviewed by a panel of scientists in the appropriate STEM discipline and according to the criteria presented in these guidelines.

All abstract review decisions are final. Because of the timeline, there is no appeals process or opportunity to resubmit once an abstract is rejected.

Once accepted, the conference staff will group abstracts with similar themes in the conference oral sessions.  The presentation session schedule is FINAL and session times cannot be changed

 

Abstracts will be rejected for one or more of the following reasons:

  • No Hypothesis or Statement of the Problem: When the reason for conducting the research is not clearly explained or the proposed question(s) are not clearly explained.
  • No Methods: Explanations of the methods are not clearly presented or appear to be inappropriate.
  • No Results/Insufficient Data Presented: The investigators failed to show either evidence of the results or the status or the outcome(s) of their research. Insufficient data are presented to support conclusion(s).
  • No Conclusion or Expected Outcomes/Future Research: The investigators failed to describe the conclusions or expected outcomes of their research with regard to their hypothesis.

Abstract Acceptance Notifications
Once an abstract has been received, the most efficient means of communication and notification of status will be by email. Therefore, it is very important that a valid and current email address be on record for all students and faculty/mentors to help speed the notification process.

***Notifications as to whether or not your abstract has been accepted for presentation will be emailed during the week of April 8, 2022.

Abstract Development Guide and Sample Abstract

 

1.) ABSTRACT TITLE: The ABSTRACT TITLE should be no longer than 100 characters, including punctuation and spaces.  The abstract title should be initial capped and NOT in a sentence format.

TITLE : The Science of Education, Life, and the Computer Era

2.)   ABSTRACT PRIMARY AUTHOR AND ABSTRACT PRESENTER:

The PRIMARY AUTHOR is the person submitting and presenting the abstract.

PRIMARY AUTHOR:  John Doe, xyz@bowiestate.edu

3.)   PRIMARY AUTHOR’S INSTITUTION:

The PRIMARY AUTHOR’S INSTITUTION should be the institution where the student is currently enrolled.

PRIMARY AUTHOR’S INSTITUTION:   HRD University, xyz@ HRD.edu

4.)  CO-AUTHOR(S):

Approval must be obtained from all co-authors listed on the abstract. Failure to do so will result in the immediate rejection of the abstract.

Co-Authors are NOT PERMITTED to co-present with the Primary Author. NO co-presentations are allowed during the conference.

CO-AUTHOR(S): Jane Doe, Howard University, DC; Mary Doe, Morgan State University, MD ; James Doe, Savannah State University, GA

5.)   ABSTRACT INFORMATION:

3000 character limit, INCLUDING spaces and punctuation. All abstracts MUST include the following:

    • Hypothesis statement and why the research is important
    • Methods and controls
    • Results
    • Conclusions and future research questions

6.)   ACKNOWLEDGEMENT OF FUNDER(S):

Students must list the funder(s) of their research project. If there is more than one funder, each funder should be listed separately.

Funder Acknowledgement(s): The authors would like to thank the National Science Foundation for supporting the project. This work is funded by grants HRD-11XX

 

PRINTED ABSTRACT SAMPLE

After all of the pieces of the abstract have been compiled, a sample of the completed abstract will be printed in the Program Book: (Please NOTE: The abstract body highlighted in italicized should be no longer than 3000 characters, including spaces and punctuation.)

Game Theme Based Instructional Module for Array and Objects using Virtual Reality

Emmanuel Ossuetta, Bowie State University, ert@students.bowiestate.edu

There is a need to change the traditional passive method of teaching to an active method of teaching such as game and simulation-based learning. In the expansion of education reform, gaming is considered one of the effective tools to teach students. There is also a need to embody the educational effect of games, for combining games and learning together. Every upcoming programmers or advance programmers know that arrays and objects are widely known key programming terms which are keep to heart. Sometimes, key programming terms are difficult for students to comprehend who are newly introduced to arrays and objects. Every semester, countless students seek tutor center help concerning arrays. The authors of the text-book try to solve these problems by repetitively changing the illustrational design of the test-book for every edition they produce, which to no avail isn’t enough to simplify the structure of an array.


The objectives of this research is to design, develop, and evaluate a game theme based instructional (GTI) module.  The aim is to create Virtual Reality course educational modules with more inquiry based problem-solving activities and hand-on experiences. The GTI module is based on a proven framework for evaluation of game and simulation-based learning. The gaming instructional module will help students learn about arrays and objects through the use of trial and error games and demonstrations. Our hypothesis is that the use of gaming instructional modules will lead to better student learning outcomes. The GTI modules have adopted the constructive learning approach and are developed using a gaming metaphor. The design of the GTI modules is modeled from the revised ‘Bloom's taxonomy.' Furthermore, in this research, we have incorporated a proven framework with a minor extension for the design and development of GTI modules. Our proposed instructional module uses a gaming metaphor in demonstrating the concepts of Multidimensional Arrays and objects. The proposed GTI module is designed and developed using 3Ds Max and Vizard.


Students were evaluated in two phases during the research study. The data were analyzed using statistical analysis methods. We have applied proven evaluation scale/methodology for the evaluation of the effectiveness of GTI modules, which includes: (1) Student Assessment of Learning Gains (SALG) to evaluate the learning gain. (2) Science Motivation Questionnaire II (SMQII) for evaluating the motivation of students. (3) User Engagement Scale (UES) for evaluating the usability of GTI modules. (4) Theory of Reasoned Action (TRA) for evaluating the likability of GTI modules. We have performed the t-test for evaluating learning gain and motivation of students, ANOVA test for evaluating the likability based on familiarity with other virtual reality games and, grounded theory for the evaluation of usability of GTI modules.  The result of evaluation shows that the GTI modules produces better learning gain and; are usable, likable, motivational, and engaging.


References:
1. Rajeev,S., Sharma, S, "Evaluation of Game-Theme Based Instructional Modules for Data Structure Concepts ", International Journal of Computers and their Applications, IJCA, Vol. 27, No. 1, March 2020.
2. Rajeev,S., Sharma, S, "Motivational Game-Theme Based Instructional Module for Teaching Binary Tree and Linked List, Proceedings of ISCA 28th International Conference on Software Engineering and Data Engineering (SEDE 2019) in San Diego, CA, USA , vol 64, pages 31-40, 2019.
3. Rajeev,S., Sharma, S, "Evaluation of GTI modules based on usability and likeability", Proceedings of ISCA 27th International Conference on Software Engineering and Data Engineering (SEDE 2018), New Orleans, Louisiana, USA, pp. 69-74, October 8-10, 2018.

 

Funder Acknowledgement(s): The authors would like to thank the National Science Foundation for supporting the project. This work is funded by grants HRD-1XXXX

Faculty Advisor/Mentor:  Sharad Sharma, ssharma@bowiestate.edu

 

 

Important Dates

Friday April 1, 2022 at Midnight (EST) – Abstract Submission/Registration via EasyChair.org link [Extended Deadline: April 7, 2022]

Friday April 8, 2021 at Midnight (EST) – Notifications will be sent as to whether or not your abstract is selected for presentation
Friday April 15, 2021 – Abstract Final & Pre-Recorded PowerPoint Presentation submitted via EasyChair.org link

Friday April 29, 2021 – Main Event


Past Years: 2021 | (C) 2022, ALL RIGHTS RESERVED, BSU Graduate School