This text reflects on the perceptions of “native” and transfer agricultural students during their time at a Mississippi land grant university through a quantitative survey to all undergraduate students in the College of Agriculture and Life Sciences at Mississippi State University. This research used an ex post facto survey to look at perceptions of native and transfer students enrolled in the College of Agriculture and Life Sciences at Mississippi State University and determine if there were significant differences between the two groups in constructs of student experience. This study identified transfer and native students’ perceived collegiate experience in the College of Agriculture and Life Sciences at Mississippi State University using an online survey. The findings from this study show no statistical significance between native and transfer students for any of the four constructs, but find a median value for all constructs to be higher than neutral on a Likert scale.

The purpose of the study was to investigate the rate at which community college transfer students graduate from the 4 year college and what variables can be used to explain the corresponding graduation rates. In addition, the study attempted to answer the identical question regarding the rate at which native students graduate from the 4 year college and the variables that can be used to explain the native student graduate rates. Finally, the study made comparisons between the community college transfer student variables that explained the corresponding graduation rates and the native student variables that explained their corresponding graduation rates to determine if differences existed between the two groups. The data collected on the community college transfer and native students at Mississippi State University was analyzed in a two-group logistical regression. For each group, a logistical regression was built, that included the independent variables of the student demographic characteristics (age, gender, race and academic discipline) and the ability measures/lower-level academic success measures (ACT/SAT test score, high school grade point average and lower level college grade point average). The results from the logistical regression for the transfer and native students were compared. Delta-Ps, the change in predicted probability, were calculated for each independent variable and then compared for transfer and native students. The conclusions of the study were the following native students appear to be better prepared to graduate than community college transfer students, the lower-level grade point average and number of lower-level credit hours earned appear to consistently explain the rates of graduation for both groups, as these two variables were significant for both groups. Transfer and native students in the Science, Technology, Engineering and Mathematics (STEM) category appear to be less prepared to graduate or encounter more obstacles to graduate than students in the other academic discipline categories. Running separate logistic models for each academic discipline category was effective in assessing the particular variables that impact graduation for the community college transfer and native students.

Students who attend community colleges often transfer to 4-year universities seeking to earn a degree typically not offered at the community college level. Tennessee has 2 programs: the Tennessee Promise and the Tennessee Reconnect programs that offer students tuition-free access to the state’s community college system. Previous studies have been conducted to compare transfer students’ performances to that of native students and typically compared the students in all disciplines. This study seeks to compare transfer students (students who enter the participating university with 40 or more credit hours) to native students (students who initially enrolled or transferred into the 4-year participating university with fewer than 40 credit hours) the engineering technology major (ENTC) to determine if transfer students are doing as well as or better than native students. The present study used archival data from student records from fall 2008 through fall 2017. The data were provided by Institutional Research at the participating university. The dataset included 416 transfer students and 900 native students. Students were classified as transfer or native based on study criteria. They were then divided into subgroups by gender, Pell grant recipient status, first-generation status, 3000 and 4000 level GPA, high-school GPA, ACT composite scores, age, and whether the student graduated or not. The data were analyzed quantitatively seeking to find differences between the native and transfer students’ graduation rates and differences in the subgroups. The 3000 and 4000 level coursework GPA were examined for transfer shock. There were significant differences between transfer and native students in graduation rates, percent who were first-generation, Pell grant recipient status, and age. Overall, graduation rates for transfer students were 38.8% and 21.8% for native students. The findings indicated that 48.8% of female transfer students persisted to graduation compared to 17.3% of native female students. Male transfer students and male native students graduated at a rate of 43.1% and 22.0%, respectively. There were no significant differences in 3000 and 4000 course level GPA, high-school GPA, or ACT composite scores between the two groups.

L’étude dont nous présentons ici les résultats a pour objet l’étudiant non natif confronté au cours magistral. Cette étude s’intègre dans l’axe II de la section Adis-langues du laboratoire ICAR II. L’étude s’appuie sur l’hypothèse que la complexité du fonctionnement du cours magistral entraîne des difficultés de compréhension orale et de prise de notes chez les étudiants non natifs qui ont une maîtrise incertaine de la langue française.Nous avons travaillé sur des extraits d’enregistrements vidéo de cours de droit que nous avons analysé en nous inspirant des présupposées théoriques de l’école française de l’analyse du discours. Plusieurs autres concepts ont servi d’outils pour appréhender le fonctionnement du cours magistral. Nous avons notamment été longuement éclairée par les études menées au sein du groupe Interactions et Apprentissage des langues dans sa composante Analyses de discours didactiques et nous nous sommes servie de leur modèle pour identifier et étiqueter les différents paramètres de complexité du cours magistral. Pour mesurer la compréhension orale de ces paramètres, nous avons adopté une démarche expérimentale pas aussi sophistiquée que l’exige la méthode expérimentale proprement dite, pour des raisons heuristiques. Nous avons proposé aux étudiants natifs et non natifs des tests de compréhension orale à travers la prise de notes et d’autres questions orales et écrites.Les résultats obtenus révèlent des cas de maîtrise de la langue et des moments plus délicats où pour des raisons diverses la compréhension orale et la prise de notes sont rendues difficiles. Ces résultats ont permis de valider l’hypothèse de départ. Nous avons à partir de là ébauché un dispositif compensatoire des problèmes identifiés, puis nous avons formulé des perspectives pour des études plus approfondies à l’avenir. / The study we present here the results has for object the non-native student face up to oral comprehension and taking notes challenges during lectures in law. This study is part of the axis II section of Adis-language laboratory ICAR II. The study is based on the assumption that the complexity of the functioning or of lectures in law leads to difficulties in listening and note-taking in non-native students who have an uncertain command of French. The data from which we have worked consist of excerpts from videotapes of law courses. We analyzed these recordings according to theoretical presuppositions of the French school of discourse analysis. Several other concepts developed by other schools and other researchers have been used tools for understanding the functioning of the lectures. We were also informed by extensive studies on the lectures conducted in the group Interactions and Language Learning in its component Analysis of didactic speeches.We used the model of listening to lectures theorized by this research group to define the term listening. This model allowed us to identify and label the different complexity parameters of lectures. To measure oral comprehension of these parameters, we adopted an experimental approach. We have developed an experimental design not as sophisticated as required by the experimental method itself, for heuristic reasons. The experimental protocol is based on a set of excerpts of recordings from which we offered to native students and nonnative students listening tests through taking notes and other written and oral questions. The results reveal cases of language proficiency and delicate moments where for various reasons, listening and taking notes are complicated. These results validate the starting hypothesis. We have sketched from here a compensatory mechanism of identified problems, and then we have made perspective for further studies in the future.