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Record W7140122849 · doi:10.1108/qrde-12-2003-0012

Research Abstracts

2003· article· en· W7140122849 on OpenAlexaboutno aff
Eric Plotnick

Bibliographic record

VenueQuarterly review of distance education · 2003
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
Fundersnot available
KeywordsDistance educationBandwagon effectGraduation (instrument)Higher educationSubject (documents)Subject matterBest practiceInformation technology

Abstract

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Faculty Attitudes Towards Distance Education: Enhancing the Support and Rewards System for Innovative Integration of Technology Within Coursework. Crawford, Caroline M.; Gannon-Cook, Ruth.Distance education is an area of rapid growth at the university level, especially within the colleges, schools, and departments of education (National Center for Education Statistics, 1999; United States Distance Learning Association, 2000). However, there are some faculty who are not jumping on the bandwagon and are taking a more conservative route towards considering the impact of distance education within their courses’ attitudes towards distance education: early innovators; hangers-on (late adopters); and negative withholders (resistors) (Robinson, 1996). Each of these groups has concern not only for their students and the appropriate learning environment for their subject matter expertise, but also a concern towards the university rewards system. This paper discusses data from a research study on faculty attitudes toward distance education. Discussion includes: the rewards system; faculty motivation and distance education; ways distance education can be delivered; authentic participation; and future trends. (Contains 9 references.) 2002. 7 pp. ED 471 121System Infrastructure Needs for Web Course Delivery: A Survey of Online Courses in Florida Community Colleges. Ricci, Glenn A.This quantitative study describes the system infrastructure needs and perceptions of the 28 Florida community colleges regarding current Web course delivery. Section 1 assesses 27 (96.4%) Florida Community College Distance Learning Consortium (FCCDLC) member representative responses to a 19-item, researcher-designed survey. The study includes assessment of interview responses from five selected FCCDLC member representatives. Section 2 reviews literature and information in order to provide a historical perspective, views of technology in education, distance learning, infrastructure reliability and scalability, and institutional readiness factors for online course delivery. Methodology was planned in question design and sequencing. The study’s 19 areas of inquiry address the following larger issues: (1) What incentives and rewards are there to motivate faculty in obtaining knowledge to develop and teach online classes? (2) What academic services and technical support are available to students enrolled in online classes? (3) What processes, procedures, instructional design, and technical support are available for faculty who develop online courses? (4) What software, equipment, and facilities are being used for the development and delivery of online courses? and (5) What levels and degrees of online courses exist in relation to the size of the institution? Findings indicate that 66.6% of Florida community colleges offer incentives or rewards, and 81.4% of colleges support faculty in development of Web courses. (Contains 79 references.) 2002. 176 pp. ED 469 892Making the Transition from Traditional to Cyberspace Classrooms. Frey, Barbara A; Donehue, Ross.This study, conducted by the Instructional Technology Department (ITD) at the Community College of Allegheny County (CCAC) in Western Pennsylvania, describes the results of a faculty needs assessment in the area of technology and distance learning. The Faculty Technology Skills Survey was administered to 490 full-time faculty members in order to determine faculty proficiency in using computer technology and the most effective strategies for developing distance learning. One hundred and one faculty members completed the survey, for a response rate of 21%. Key findings include: (1) 62% of faculty reported using a computer on a daily basis, with the highest usage in word processing software and email; (2) 49% of faculty respondents did not use the Internet in their classes, and 14% were not aware of the ways the Internet could be used; (3) 46% of the faculty identified lack of time as a major barrier to integrating more technology into their classrooms, and 33% noted that adequate technical support and lack of training were barriers as well. Based on the results, recommendations were made for preparing faculty to author and teach courses through the World Wide Web. A sample survey is appended. 2002. 13 pp. ED 470 031Enrollment and Success of Hispanic Students in Online Courses. Angiello, Roanne S.This study researched whether or not Hispanic students, in spite of the digital divide, were enrolling in and succeeding at online courses. The Census Bureau projects that Hispanics will compose 25% of the United States population by the year 2050. Although the Hispanic population in Bergen County, New Jersey is only 10%, during the fall semester at Bergen Community College (BCC) the Hispanic enrollment was 22%. In spring 2002, BCC offered 70 online courses, with approximately 1,500 students registered. The literature suggests that Internet use among Hispanics is approaching, and perhaps even surpassing, that of Whites. This paper discusses whether or not the narrowing of that digital divide will translate into better performance in academics and jobs that require computer and Internet competencies. The author found that in fall 2001, 15% of those enrolled in online courses at BCC were Hispanic, while they made up 22% of the total student population. Although students of all races do not succeed at the same rate in online courses as they do in traditional courses, the success rate for Hispanics was 47%, compared with 62% for Whites. Whites are 16% more successful than Hispanics in online courses, whereas they are only 4% more successful in traditional courses. (Contains 25 references.) 2002. 17 pp. ED 469 358A Comparison of Instructor Time and Effort between Traditional and Online Classrooms. Altalib, Hasan; Dunfee, Patricia J.; Hedden, Briana L.; Lennox, Todd J.; Marenco, Rodolfo.This research study compares the time and effort involved in preparing and managing traditional versus online classrooms. A survey was used to collect data from professors with experience in teaching both formats. Previous studies showed that instructors spent more time and effort managing online versus traditional classrooms. Time and effort for this study were divided into seven hypotheses: instructor preparation for online courses will require more time and effort than instructor preparation for traditional courses; student-instructor interaction for online courses will require more time and effort than student-instructor interaction for traditional courses; course material maintenance for online courses will require more time and effort than course material maintenance for traditional courses; instructional time for online courses will require more time and effort than instructional time for traditional courses; assessment for online courses will require more time and effort than assessment for traditional courses; more time and effort will be spent on technical issues for online courses than for traditional courses; and graduate assistant aid for online courses will require more time and effort than graduate assistant aid for traditional courses. Results indicated no statistical significance of any of the hypotheses. (Contains 10 references.) 2002. 21 pp. ED 469 953The Lost Generation in E-Learning: Deep and Surface Approaches to Online Learning. Cuneo, Carl J.; Harnish, Delsworth.This study examined the independent effects of six approaches to learning in online computer conferencing: (1) deep learning: (2) comprehension learning; (3) relating ideas; (4) surface learning; (5) syllabus boundness; and (6) achievement motivation. Deep learning, comprehension learning, and relating ideas were combined into a more general index called meaning orientation or deep approach to learning. Syllabus boundness and surface learning were combined into a reproducing orientation index, a surface approach to learning. Online surveys were conducted in three school years at a Canadian university using the FirstClass proprietary software, which had been customized into an online conferencing system. The questionnaire was completed by 114, 280, and 679 students in the 3 years. Factor indexes were created of approaches to learning, active use of online conferencing, the subjective valuation of its personal importance to students, and embarrassment or anxieties over posting messages to online course conferences. Seven hypotheses were developed, the main one being that a deep approach to learning would result in greater use and personal importance of registered than unregistered course conferences. Only partial support was found for the hypotheses. The deep approach to learning resulted in a heightened active use of almost all aspects of online conferencing, increased reading and sending of messages, a greater subjective valuation by learners of the importance of participation in conferencing and nonacademic social debates, and a reduction in anxiety about postings. About 15% to 25% of the samples formed a lost generation in the e-learning world. These students scored high on a surface approach to learning and low on a deep approach. Implications for educators who want to reach these students are discussed. (Contains 32 tables and 45 references.) 2002. 37 pp. ED 466 646Documents listed may be read at any library holding an ERIC microfiche collection. Copies may also be ordered (identified by ED number) from the ERIC Document Reproduction Service (EDRS). For prices and ordering information, call EDRS toll free at 1-800-443-ERIC or visit the EDRS Web site at www.edrs.comReaders wishing to submit papers for inclusion in the ERIC database should submit them to the ERIC Clearinghouse on Information & Technology, Syracuse University, Suite 160, 621 Skytop Road, Syracuse, New York 13244-5290. www.ericit.org

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score0.431

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.042
GPT teacher head0.436
Teacher spread0.395 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2003
Admission routes1
Has abstractyes

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