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Record W338054941

Going the Distance: Offering Benefits of Convenience, Independence, and Even Improved Academic Performance, Virtual Schools Promise to Be Here for the Long Haul

2007· article· en· W338054941 on OpenAlexaboutno aff
Neal Starkman

Bibliographic record

VenueT.H.E. Journal Technological Horizons in Education · 2007
Typearticle
Languageen
FieldSocial Sciences
TopicOnline and Blended Learning
Canadian institutionsnot available
Fundersnot available
KeywordsGraduation (instrument)AttendanceMedia studiesPsychologySociologyEngineeringLawPolitical science
DOInot available

Abstract

fetched live from OpenAlex

MICAH WILLIAMS HAD A PROBLEM. His attendance at Lutheran High School in Orange County, CA, was down, and, a young actor, he had missed his middle graduation in order to fly to Vancouver, British Columbia, to appear in a movie. It seemed as if he had to make a choice: acting or getting an education. As it turned out, his mother made the choice for him: both. She enrolled him at Orange Lutheran High School Online. Now Micah logs in to OLO and does pretty much what traditional ground school students do: He reads background material, engages in discussions with other students, takes tests, asks questions of his teachers, and hands in assignments. He logs in at least Monday through Friday, at any time of the day from anywhere he has computer access, so he has time to pursue his acting career and get an education, too. Ironically, it's the virtual interaction with other students that he's most excited about. You can basically to any student you want to, Micah says, acknowledging that talk means type. all the time about everything. Online education has been a great solution, and it's one that working for a number of students whose circumstances bear little resemblance to Micah's. Consider Dan Hathaway, a freshman from Tennessee. Dan's an only child; his dad a lieutenant stationed in Iraq; and he and his mother run a farm, which makes attending a bricks-and-mortar difficult. Instead, he takes courses through OLO. He's carrying straight A's. And last November, he sent fellow students photos of calves being born. OLO student body consists of a mix of kids who have turned to eLearning for a variety of reasons. Some--called blended students--go to Lutheran High School, or one of many schools across the country, and use OLO to supplement their regular coursework. Others take online classes exclusively, and so are actually enrolled in the online high school. OLO's curriculum comes from Lutheran High; the teachers come from the University of Phoenix and from a pool of Lutheran High educators; the funding comes from tuition. Other OLO students include a nationally rated ice skater who lives on a ranch in Nebraska, a hockey player who travels all over the country, and a student who has had a kidney transplant and isn't sufficiently mobile to attend a regular high school. All benefit tremendously from taking classes online. Patty Young the director of Orange Lutheran Online, and she knows of many success stories like Micah and the others. The greatest challenge, she says, is getting the word out to overcome people's preconceived notions about what online is. students are open to it because they're comfortable with technology. Often, the most resistant are teachers, either because they're worried that their jobs will be overtaken by computers or because they're just not inclined to change their mode of teaching. But, says Young, resistant or not, both students and teachers can make the transition: It's really fun to watch the lights come on. We want to be innovative and visionary and try to meet the needs of many people in many different ways. Data in the Virtual World Founded in 1997, Florida Virtual School offers more than 90 courses and employs 295 full-time teachers and 160 adjunct teachers. Last year the served more than 31,000 students in all 67 Florida districts and in other districts around the country. Just as it in traditional schools, data gathering becoming central to online instruction, though the kinds of data virtual schools collect differ from what grounds are looking at. FLVS routinely administers surveys to students, parents, teachers, and administrators to gather data about the quality of its services, asking questions that address student-teacher communication and the quality of the school's support staff. In each survey, participants are asked to indicate any areas of concern or recommendations for improving the school's services. …

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.096
Threshold uncertainty score0.322

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.000
Science and technology studies0.0040.002
Scholarly communication0.0100.013
Open science0.0010.007
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0960.032

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 head0.024
GPT teacher head0.336
Teacher spread0.312 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

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".

Quick stats

Citations0
Published2007
Admission routes1
Has abstractyes

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Same venueT.H.E. Journal Technological Horizons in EducationSame topicOnline and Blended LearningFrench-language works237,207