The Experts below are selected from a list of 32823 Experts worldwide ranked by ideXlab platform
Stephen F Davis - One of the best experts on this subject based on the ideXlab platform.
-
academic dishonesty and Distance Learning Student and faculty views
College student journal, 2000Co-Authors: Kristen M Kennedy, Sheri Nowak, Renuka Raghuraman, Jennifer Thomas, Stephen F DavisAbstract:Cheating is a major concern on many college campuses. For example, Davis, Grover, Becker, and McGregor (1992) reported that between 40% and 60% of their Student respondents reported cheating on at least one examination. The 1990s also witnessed the unprecedented growth of Distance Learning and Web-based courses. Because Students and faculty do not interact directly in such classes, they offer a unique venue for academic dishonesty. The present project explored Student and faculty views concerning cheating and Distance Learning. The results indicated that both faculty and Students believe it is easier to cheat in Distance Learning classes. Additional factors that impact the perceived ease of cheating in these classes are evaluated. ********** Cheating is becoming a major concern on many college campuses (Fishbein, 1993; Haines, Diekhoff, LaBeff, & Clark, 1986; Singhal, 1982). Jendreck (1989) and Davis, Grover, Becker, and McGregor (1992) indicated that between 40% and 60% of their Student respondents reported cheating on at least one examination. McCabe and Bowers (1994) corroborated these data at nonhonor-code institutions, but they found that Students at institutions having honor codes had lower self-reported cheating rates. In addition, Davis et al. reported that Students at small, private liberal arts colleges reported lower cheating rates. The 1990s have witnessed the unprecedented growth of Distance Learning. According to Rubiales, Steely, Wollner, Richardson, and Smith (1998), "Distance Learning is the process whereby the education of a Student occurs in circumstances where the educator and the Student are geographically separated, and the communication across this Distance is accomplished by one or more forms of technology, typically electronic, such as television and computers ..." (p. 32). Because Students and faculty do not interact directly in Distance Learning instruction, this situation offers a unique venue for academic dishonesty. The present project explored Student and faculty views concerning the relation between cheating and Distance Learning. Such issues as type, rate, and methodology of cheating were examined via questionnaires administered to Students and faculty. The acquisition of demographics facilitated a variety of comparisons based on subgroup membership. Method Participants Student sample. One hundred seventy-two Students (127 women, 44 men, 1 undeclared) enrolled at a medium-size, regional, Midwestern university served as participants. The Students ranged in age from 18 to 70 years (M = 32.30, SD = 11.85). Eight Students were freshmen, 7 were sophomores, 24 were juniors, 35 were seniors, and 95 were graduate Students (2 did not list their classification). Twenty-five of the men had completed an electronic course, whereas 19 had not. Eighty-four of the women had completed an electronic course, 42 had not. Faculty sample. Sixty-nine faculty members (36 women, 33 men) from a medium-size, regional, Midwestern university served as participants. Survey Instruments Two survey instruments, one for the Students and one for the faculty, were developed for this project. These surveys are described separately. Student survey. In addition to demographic items (age, sex, academic classification), the Student survey consisted of six questions. The first two questions dealt with whether the respondent had cheated at least once, the frequency of cheating, and whether the person had been caught cheating in high school (Question 1) and college (Question 2). The remaining questions determined: (a) whether the respondent felt cheating improves a person's exam score (Question 3), (b) whether the respondent had taken an electronic class (Question 4), (c) whether the respondent felt it would be easier to cheat in an electronic class (Question 5), and (d) what methods the respondent would use to cheat in an electronic class (Question 6). …
Pierre Tchounikine - One of the best experts on this subject based on the ideXlab platform.
-
using and enhancing a normalized ims ld description to support learners in their appropriation of a Distance Learning curriculum
International Conference on Advanced Learning Technologies, 2004Co-Authors: D Rasseneur, Pierre Jacoboni, Pierre TchounikineAbstract:The general context of our work is the support that can be proposed to a Distance Learning Student in order to appropriate a curriculum to him. In this paper we explore how the IMS Learning design (LD) norm can be used to address this issue. An LD model of a curriculum permits the construction of tools that allow a Student to visualize different points of view on the curriculum items, annotate his progression in the activities or build individual projects. We present what can be done with an LD model and how this model can be enhanced to propose more helpful appropriation means.
Kristen M Kennedy - One of the best experts on this subject based on the ideXlab platform.
-
academic dishonesty and Distance Learning Student and faculty views
College student journal, 2000Co-Authors: Kristen M Kennedy, Sheri Nowak, Renuka Raghuraman, Jennifer Thomas, Stephen F DavisAbstract:Cheating is a major concern on many college campuses. For example, Davis, Grover, Becker, and McGregor (1992) reported that between 40% and 60% of their Student respondents reported cheating on at least one examination. The 1990s also witnessed the unprecedented growth of Distance Learning and Web-based courses. Because Students and faculty do not interact directly in such classes, they offer a unique venue for academic dishonesty. The present project explored Student and faculty views concerning cheating and Distance Learning. The results indicated that both faculty and Students believe it is easier to cheat in Distance Learning classes. Additional factors that impact the perceived ease of cheating in these classes are evaluated. ********** Cheating is becoming a major concern on many college campuses (Fishbein, 1993; Haines, Diekhoff, LaBeff, & Clark, 1986; Singhal, 1982). Jendreck (1989) and Davis, Grover, Becker, and McGregor (1992) indicated that between 40% and 60% of their Student respondents reported cheating on at least one examination. McCabe and Bowers (1994) corroborated these data at nonhonor-code institutions, but they found that Students at institutions having honor codes had lower self-reported cheating rates. In addition, Davis et al. reported that Students at small, private liberal arts colleges reported lower cheating rates. The 1990s have witnessed the unprecedented growth of Distance Learning. According to Rubiales, Steely, Wollner, Richardson, and Smith (1998), "Distance Learning is the process whereby the education of a Student occurs in circumstances where the educator and the Student are geographically separated, and the communication across this Distance is accomplished by one or more forms of technology, typically electronic, such as television and computers ..." (p. 32). Because Students and faculty do not interact directly in Distance Learning instruction, this situation offers a unique venue for academic dishonesty. The present project explored Student and faculty views concerning the relation between cheating and Distance Learning. Such issues as type, rate, and methodology of cheating were examined via questionnaires administered to Students and faculty. The acquisition of demographics facilitated a variety of comparisons based on subgroup membership. Method Participants Student sample. One hundred seventy-two Students (127 women, 44 men, 1 undeclared) enrolled at a medium-size, regional, Midwestern university served as participants. The Students ranged in age from 18 to 70 years (M = 32.30, SD = 11.85). Eight Students were freshmen, 7 were sophomores, 24 were juniors, 35 were seniors, and 95 were graduate Students (2 did not list their classification). Twenty-five of the men had completed an electronic course, whereas 19 had not. Eighty-four of the women had completed an electronic course, 42 had not. Faculty sample. Sixty-nine faculty members (36 women, 33 men) from a medium-size, regional, Midwestern university served as participants. Survey Instruments Two survey instruments, one for the Students and one for the faculty, were developed for this project. These surveys are described separately. Student survey. In addition to demographic items (age, sex, academic classification), the Student survey consisted of six questions. The first two questions dealt with whether the respondent had cheated at least once, the frequency of cheating, and whether the person had been caught cheating in high school (Question 1) and college (Question 2). The remaining questions determined: (a) whether the respondent felt cheating improves a person's exam score (Question 3), (b) whether the respondent had taken an electronic class (Question 4), (c) whether the respondent felt it would be easier to cheat in an electronic class (Question 5), and (d) what methods the respondent would use to cheat in an electronic class (Question 6). …
D Rasseneur - One of the best experts on this subject based on the ideXlab platform.
-
using and enhancing a normalized ims ld description to support learners in their appropriation of a Distance Learning curriculum
International Conference on Advanced Learning Technologies, 2004Co-Authors: D Rasseneur, Pierre Jacoboni, Pierre TchounikineAbstract:The general context of our work is the support that can be proposed to a Distance Learning Student in order to appropriate a curriculum to him. In this paper we explore how the IMS Learning design (LD) norm can be used to address this issue. An LD model of a curriculum permits the construction of tools that allow a Student to visualize different points of view on the curriculum items, annotate his progression in the activities or build individual projects. We present what can be done with an LD model and how this model can be enhanced to propose more helpful appropriation means.
Iryna Smyrnova - One of the best experts on this subject based on the ideXlab platform.
-
Pedagogical aspects of self-development of Distance Learning Students in Ukraine
'Laplage em Revista', 2021Co-Authors: Maksym Iasechko, Svitlana Iasechko, Iryna SmyrnovaAbstract:Analysis of psychological and pedagogical literature on the research problem. To identify and experimentally test the effectiveness of organizational and pedagogical conditions affecting the creative self-development of a Distance Learning Student. Research methods: analysis of philosophical and psychological-pedagogical literature on the problem under study; pedagogical experiment; modelling, questioning, testing, analysis of the products of Students' creative activity (essays, creative works, creative projects) and the implementation of educational tasks, conversations