Source: TEXAS A&M UNIVERSITY submitted to
UTILIZING WEB 2.0 INSTRUCTIONAL TOOLS TO ENHANCE STUDENT LEARNING AND BEHAVIOR CHANGE
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
0226228
Grant No.
(N/A)
Cumulative Award Amt.
(N/A)
Proposal No.
(N/A)
Multistate No.
(N/A)
Project Start Date
Jun 29, 2011
Project End Date
Nov 1, 2013
Grant Year
(N/A)
Program Code
[(N/A)]- (N/A)
Recipient Organization
TEXAS A&M UNIVERSITY
750 AGRONOMY RD STE 2701
COLLEGE STATION,TX 77843-0001
Performing Department
Agricultural Leadership, Education & Communication
Non Technical Summary
Developing students' knowledge and appreciation of a state's natural resources is highly valued at higher education institutions. While courses, degree programs, departments, and institutions at Universities across the country have specialized programs regarding the public value, protection, and improvement of water quality, non-technical and general curricular materials that can be incorporated across the curriculum are not readily available. What information that does exist tends to be highly scientific and difficult to understand and use. The shortage of easy to use, transportable information for non-technical applications provides instructional opportunity to fill this gap. The instructional opportunity addressed by this project will enhance college students' awareness of water quality by integrating STEM (science, technology, engineering and math) into non-technical teaching and learning environments. By developing and using smartphone and iPad APPS as a delivery strategy, the researcher will take advantage of technologies omnipresent to undergraduate students. Little is known about the attitudes and behaviors of students and faculty concerning the use of Web 2.0 tools in instructional delivery and knowledge acquisition. The audience for this project is 1,000 undergraduate students enrolled in departments within Colleges of Agriculture and Food Sciences at participating universities, 30 faculty, and 10 graduate assistantships. The targeted students will be enrolled in non-technical courses and degree programs in which water quality is discussed on broad and general terms. Such departments may include agricultural education and communication, animal science,entomology, environmental horticulture, forestry, nutrition and food science, plant pathology, poultry science, recreation and parks, soil and crop science, and wildlife and fisheries science. This audience will be reached by constructing and delivering smartphone apps and web-based learning modules that could be incorporated into non-technical curricular materials across the curriculum. Smartphones are a type of mobile phone that provides users expanded computing capacity. These smartphones run computer operating systems that enable the phone to house separate applications that store information. Smartphone applications (APPS) are utilized to house specific information and allow users anytime anywhere access to information. The APPS will be developed with water quality information and housed on iPhone, Blackberry, and DROID smartphones. APPS are customized programs that help individuals manage their life more effectively by having the capability to access specific information on demand.
Animal Health Component
(N/A)
Research Effort Categories
Basic
(N/A)
Applied
(N/A)
Developmental
(N/A)
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
8036050302034%
9016010303033%
9037410302033%
Goals / Objectives
The purpose of this project is to assess student and faculty attitudes toward utilizing technological tools as an approach to acquire educational content. More specifically, the objectives of this project are as follows:Describe faculty attitudes about incorporating Web 2.0 educational tools into current syllabi; Describe the integration of web-based learning modules, smartphone and tablet pc apps, and social media to deliver course content;Examine the effect of experiential learning opportunities with Web 2.0 instructional tools on student learning; Examine student's capacity to analyze course information through smartphone apps at their convenience;Examine student's knowledge gain regarding the global public value of water quality;and, Examine student's attitude and behavioral changes toward protecting and enhancing global water quality as a result of Web 2.0 instructional tools.
Project Methods
The research approach for this project will be experimental, quasi-experimental, and survey research. Experimental research enables the researcher to examine the effect of systematically controlling variables on another variable (Ary et al., 2006). In experimental research, the manipulated variable is referred to as the independent variable and the measured variable is called the dependent variable. Ary et al. (2006) said quasi-experimental designs are employed when intact classrooms are utilized for experimental and control groups. Survey research employs questionnaires to gather data from the population. Ary et al. (2006) explained that survey research allows the researcher to condense the results of characteristics of dissimilar groups in order to assess their attitudes and opinions. In the first stage of this research, we will measure faculty attitudes toward incorporating Web 2.0 tools into their courses. The first, third, and fifth objectives will be measured with descriptive statistics. Agresti and Finlay (2009) identified descriptive statistics as the statistical method to encapsulate the information in a compilation of data. Shavelson (1996) suggested that descriptive statistics are approaches and procedures applied in arranging, summarizing, calculating, and describing data. The second and fourth objectives will be evaluated with t-tests and analysis of variance (ANOVA). A t test determines whether the difference between two sample means is statistically significant (Ary et al., 2006, p. 211). The total variance of all subjects can be subdivided into variances between groups and variances within groups. The resulting F ratio, in ANOVA, uses the variance of group means as a measure of observed differences among groups (Agresti & Finlay, 2009). ANOVA can examine the difference in two or more means. Shavelson (1996) reported if the F is significant, then at a minimum one of all potential comparisons between comparisons of means will be significantly different. Effect sizes are statistics that evaluate the direction and strength of a difference between two means (Ary et al., 2006). A large effect size is d = .80, a medium effect size is d = .50, and a small effect size is d = .20 (Cohen, 1988). Cohen's d is calculated with the standardized difference between two means divided by the data's standard deviation. Cohen's definitions of small, medium, and large effect sizes have been widely recognized and implemented into numerous social science studies (Shavelson, 1996). Effect sizes should be reported for t-tests and ANOVAs (Agresti & Finlay, 2009). The sixth objective will be assessed through the implementation of regression models. The usage of regression models is assessed by the R or the coefficient of determination (Agresti & Finlay, 2009). Cohen (1998) reported an R of .001 signifies a weak relationship, an R of .009 signifies a moderate relationship, and an R of .025 represents a strong relationship. This statistical procedure allows the researcher to weight two or more independent variables to generate the highest correlation with one dependent variable (Ary et al., 2006).

Progress 06/29/11 to 11/01/13

Outputs
Target Audience: The target audience was undergraduate students in the Department of Agricultural Leadership, Education, and Communications at Texas A&M University. Changes/Problems: Nothing Reported What opportunities for training and professional development has the project provided? Nothing Reported How have the results been disseminated to communities of interest? Nothing Reported What do you plan to do during the next reporting period to accomplish the goals? Nothing Reported

Impacts
What was accomplished under these goals? Distinguished Research Poster, Southern Region of the American Association for Agricultural Education Research Conference, Orlando, FL., 2013.

Publications

  • Type: Journal Articles Status: Published Year Published: 2013 Citation: Strong, R., & Irby, T. L., & Dooley, L. M. (2013). Factors influencing students' behavioral intentions: Examining the potential use of mobile technology in agricultural education courses. Journal of Agricultural Education, 54(4), 149-161. doi: 10.5032/jae.2013.04149


Progress 01/01/12 to 12/31/12

Outputs
OUTPUTS: Activities: The PI collected the data through survey instruments using Qualtrics and hand delivered questionnaires. The PI taught the content gained through project TEX09477 during each of his seven courses during 2012. The courses were ALED 426, ALEC 613, ALEC 640 x 2, and ALEC 695 x 3. Events: The PI and graduate students presented the portions of the research at the 2012 Annual Conference of the Southern Association for the American Association for Agricultural Education in Birmingham, Alabama during February to 18 academic peers. The PI and graduate students presented the second portion of the research at the 2012 Annual Conference of the Association for International Agricultural and Extension Education in Nakorn Province, Thailand during May to 11 global academic peers. The PI and graduate students presented the third portion of the research at the 2012 Annual Conference of the Association for Leadership Educators in Key West, Florida during July to 22 academic peers. Services: Products: PARTICIPANTS: Not relevant to this project. TARGET AUDIENCES: The target audience for this project are undergraduate and graduate students and adult clientele of the Department of Agricultural Leadership, Education and Communications at Texas A&M University. PROJECT MODIFICATIONS: Nothing significant to report during this reporting period.

Impacts
Findings from this project broaden the knowledge base of McClelland's (1987) motivational needs theory and Tu and McIssac's (2002) social presence theory. Learning environment constructs related to the motivational needs theory and the social presence construct were significantly correlated p < .05. The results of this project indicated the combined theories of McClelland's (1987) motivational needs and Tu and McIssac's (2002) social presence accounted for the variance in students' satisfaction in eLearning courses. Results from the project built upon the three needs identified by McClelland (1987), achievement, affiliation, and power. Achievement was met through the need of instructor support. Students' with a need for achievement will strive for individual success and eLearning instructors should assist students' in attaining that success. A student will strive for progressive improvement in a particular task in order to meet their need for achievement (McClelland, 1987). According to McClelland (1987), eLearning instructors should routinely mentor, guide, and challenge students' with responsibilities that will improve their prospects for academic success. The second motivational need McClelland (1987) identified was power. The need for power addressed student autonomy in eLearning courses in this project. The scores for student autonomy indicated students need to maintain a certain amount of power in an eLearning course. Students with a need for power may search for situations in an eLearning course that enable the student to assert specific objectives. The objectives may have been defined by the student or an organization the student represents (McClelland, 1987). Affiliation paralleled students' interaction and collaboration with one another and the instructor of the eLearning course. Students seeking affiliation will develop relationships among other students and the instructor (McClelland, 1987). The need for affiliation is met when an individual feels accepted and establishes a mutual positive relationship with peers and a mentor. Affiliated students will accept compromises or find common ground when working with peers on course projects and assignments (McClelland, 1987). The results from this project were congruent with Tu and McIssac's (2002) social presence theory. Social presence had the largest effect on students' satisfaction with eLearning courses. Tu and McIssac (2002) said interactivity, social context and online communication were a part of social presences. Students' preferred to participate in active learning opportunities versus lecture based instruction with online formats (Tu & McIssac, 2002). The results from this project aligned with Walther's (1992) research in that students' preferred establishing a sense of identity. The interactivity dimension revealed students' preferred interaction and collaboration and instructor support (Tu & McIssac, 2002). Results indicated students' preferred to develop relationships with other students and maintain their individual identity in online courses simultaneously.

Publications

  • Irby, T.L., Wynn, J.T., and Strong, R. (2012). A descriptive evaluation of agricultural education eLearning courses: Students' perspectives. NACTA Journal, 56(3), 70-76.
  • Strong,R., Irby, T.L., Wynn, J.T., and McClure, M.M. (2012). Investigating students' satisfaction with eLearning courses: The effect of learning environment and social presence. Journal of Agricultural Education, 53(3), 98-110. doi: 10.5032/jae.2012.03098
  • Strong, R., Irby, T.L., Wynn, J.T., and McClure, M.M. 2012. The effect of learning environment and social presence on students' satisfaction with eLearning courses. Page 550-564 in Proc. 62nd Southern Region of the American Association for Agricultural Education Annual Meeting. Birmingham, AL.
  • Irby, T.L., Wynn, J.T., and Strong, R. 2012. Assessing eLearning courses from a students' perspective: A descriptive approach. Pages 503 to 514 in Proc. 62nd Southern Region of the American Association for Agricultural Education Annual Meeting, Birmingham, AL.


Progress 01/01/11 to 12/31/11

Outputs
OUTPUTS: The study was implemented as an assessment of Texas A&M University's graduate student satisfaction in agricultural education eLearning courses, and therefore, results from this study are not generalizable to all graduate students in agricultural education departments nationwide. However, the findings do provide factors that affect the variance of graduate student satisfaction in eLearning courses. Based on the results of this study, it can be seen that the primary deficiencies in delivering eLearning education at the graduate level fall within the interpersonal and social contexts. Those students who reported a high level of satisfaction with the coursework generally reported that eLearning education was not their preferred method of delivery. According to the data, there is strong evidence suggesting that this is due to the impersonal nature of the curriculum. In contrast to the reported deficiencies in active learning and personal relevance, the high degree of autonomy and interaction among students was considered to be a strong positive component of eLearning by respondents. Autonomy and interaction among students can be capitalized upon by the instructor to provide a richer and more robust educational experience. Levy (2007) said students' satisfaction is an indicator of retention and dropout rates in eLearning courses. Future research is needed regarding the tools that may increase students' social presence in eLearning courses. Researchers should examine the use of social media tools as potential avenues to improve students' social presence in eLearning courses. Other institutions offering agricultural education eLearning courses should continue to examine and assess student satisfaction. Schott, Chernish, Dooley, and Lindner (2003) indicated higher education budget deficiencies have challenged institutions to increase student availability regarding coursework. Agricultural education researchers should implement longitudinal studies to assist eLearning instructors, within the profession, address students' satisfaction and needs (Roach & Lemasters, 2006). Agricultural education eLearning instructors should evaluate courses to ensure that students are able to participate in collaborative learning environments (Sims, Dobbs, & Hand, 2002), and share the results with the broader academic community in order to improve student learning and advance the profession (Smart & Cappel, 2006). PARTICIPANTS: The researcher utilized three graduate assistants to assist with this project during 2011. The researcher meets with the three graduate students on a weekly basis. The graduate assistants will be co-presenting the data produced from this project at our research conferences. The graduate assistants will be co-authoring the manuscripts submitted to journals for publication. TARGET AUDIENCES: The target audience in this study consisted of graduate students enrolled in agricultural education eLearning courses at Texas A&M University (N = 164) and n = 109 responded to the study. Most of the participants were female (n = 73, 66.97%), white (n = 97, 88.99%), between 25 to 34 years old (n = 69, 63.30%), and lived in the Bryan/College Station area (n = 61, 55.96%). PROJECT MODIFICATIONS: Not relevant to this project.

Impacts
Findings from this study broaden the knowledge base of McClelland's (1987) motivational needs theory and Tu and McIssac's (2002) social presence theory. Learning environment constructs related to the motivational needs theory and the social presence construct were significantly correlated p < .05. The results of this study indicated the combined theories of McClelland's (1987) motivational needs and Tu and McIssac's (2002) social presence accounted for the variance in students' satisfaction in eLearning courses. Results from the study built upon the three needs identified by McClelland (1987), achievement, affiliation, and power. Achievement was met through the need of instructor support. Students' with a need for achievement will strive for individual success and eLearning instructors should assist students in attaining that success. A student will strive for progressive improvement in a particular task in order to meet their need for achievement (McClelland, 1987). According to McClelland (1987), eLearning instructors should routinely mentor, guide, and challenge students' with responsibilities that will improve their prospects for academic success. The second motivational need McClelland (1987) identified was power. The need for power addressed student autonomy in eLearning courses in this study. The scores for student autonomy indicated students need to maintain a certain amount of power in an eLearning course. Students with a need for power may search for situations in an eLearning course that enable the student to assert specific objectives. The objectives may have been defined by the student or an organization the student represents (McClelland, 1987). Affiliation paralleled students' interaction and collaboration with one another and the instructor of the eLearning course. Students seeking affiliation will develop relationships among other students and the instructor (McClelland, 1987). The need for affiliation is met when an individual feels accepted and establishes a mutual positive relationship with peers and a mentor. Affiliated students will accept compromises or find common ground when working with peers on course projects and assignments (McClelland, 1987). The results from this study were congruent with Tu and McIssac's (2002) social presence theory. Social presence had the largest effect on students' satisfaction with eLearning courses. Tu and McIssac (2002) said interactivity, social context and online communication were a part of social presence. Students preferred to participate in active learning opportunities versus lecture based instruction with online formats (Tu & McIssac, 2002). The results from this study aligned with Walther's (1992) research in that students' preferred establishing a sense of identity. The interactivity dimension revealed students' preferred interaction and collaboration and instructor support (Tu & McIssac, 2002). Results indicated students preferred to develop relationships with other students and maintain their individual identity in online courses simultaneously.

Publications

  • No publications reported this period