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Record W2001930985 · doi:10.1002/bmb.20346

Commentary: Downloaded lectures have been shown to produce better assessment outcomes

2009· article· en· W2001930985 on OpenAlexaboutno aff
Graham R. Parslow

Bibliographic record

VenueBiochemistry and Molecular Biology Education · 2009
Typearticle
Languageen
FieldSocial Sciences
TopicInnovations in Educational Methods
Canadian institutionsnot available
Fundersnot available
KeywordsAttendancePresentation (obstetrics)DenialPsychologyMedical educationComputer scienceMultimediaMathematics educationMedicinePolitical science

Abstract

fetched live from OpenAlex

I am accustomed to full lecture theaters when I lecture, and this is the first year that my class attendance for science-major students has dropped to around 70%. This is not the case for medical lectures that still attract full participation even though they are recorded. Medical students are motivated to attend by vocational focus and by mandated attendance. My science lectures are recorded both for audio and slide presentation. After a decade of rapture with my laser pointer, I have now taken to use the mouse as a pointer to highlight the regions of my slides that I am talking to. This achieves a number of advantages. It records the mouse highlighting for students replaying the lecture, it allows me to keep facing the audience while I look at the monitor in front of me, and it works on all of the screen displays in our large lecture theaters. The capture of all the information in my lectures leaves little value to be added by attending my lectures; perhaps being able to ask questions, although email can do that. With relevance to our current students, I have observed that when commuting by public transport, there is a near complete use of audio–visual devices by the plugged-in under 30 age group. New technology, new generation, and new allocations of time to work and study are combining to diminish lecture attendances. Some colleagues refuse to make lecture recordings available, but that strikes me as a Luddite's denial of the new reality. If the students learn effectively then there is no problem with allowing them to manage their own learning activities. It may even be that lecture attendance is counterproductive because there is evidence that the university students who downloaded a podcast lecture achieved higher assessment results than those who attended the lecture in person [1]. McKinney et al [1]. presented 64 students with a single lecture on visual perception from an introductory psychology course. The paper can be accessed by a link at www.fredonia.edu/department/psychology/mcKinneyhp.asp. Half of the students attended the class in person and received a printout of the slides from the lecture (they did not get access to the podcast). The other 32 downloaded a podcast of the same lecture, synchronized with video of the slides, and received a printed handout of the material. When tested a week later, students who received the podcast averaged 71%, whereas those who attended the lecture averaged 62%. In further analyzing the podcast group, the lower achievers watched the podcast but did not take notes, whereas the highest achievers viewed the podcast multiple times and took notes. Podcasted lectures offer students the chance to replay difficult parts of a lecture and therefore take better notes. Some blog comments on the McKinney paper [2] include “Worst is the lectures where the lecturer reads from his PowerPoint slides (which are made available for download)—absolutely no point in attending. Of course, often these lecturers also use the same exam paper they have for the last 10 years as well. So, the real title of the McKinney article should have been “Quality of teaching at some universities now so poor students learn more by not attending class.” Another commentator wrote “it was a biased, commercially influenced, poorly conducted study” to which the lead author (McKinney) replied “I am curious to know if you read my actual article, or merely the blog posts that tell you a very simplistic version of the study? It was published in a peer reviewed journal.” McKinney indeed appreciated the limitations of her study and added a lot of useful research background in her paper with a good selection of references. On balance, I am prepared to accept that students can perform as well from taking a virtual lecture as a real lecture. From the view of the students, it remains the case that learning is largely driven by assessment, so if the examination goals are clear then virtual lectures can adequately teach a course. If a virtual lecture can have better outcomes than a real time lecture then it makes sense to select the best virtual lectures in the world to offer in a course. Apple Computers Inc. have 30 years of providing computer support for universities and realized that it was a good fit with their iPod business to add podcasts of lectures frompremier universities. From 2005, Stanford has attracted two million downloads of lectures via iTunes. “At Stanford, we are always seeking innovative ways to share knowledge. We want to convey an intellectually dynamic experience in a way that a newspaper article or an abstract in a scholarly journal simply can't achieve. With iTunes U, we believe the excellence of Stanford can be seen, heard, and felt in a compelling way by a huge audience. It's unlikely that Jane and Leland Stanford could have imagined a world where the iPod is ubiquitous, and where such reach is possible. But I think they would be proud that the university has not been afraid to outgrow old thoughts and ways, daring to think along new lines as it pursues knowledge in service to the public good” [3]. The portal to get iTunes lectures is not as simple as going to a web site like YouTube. You must open the iTunes application from Apple, go to the Apple Store, and then search iTunes U. If a target is known then easier access is possible. For example, if you wish to sample UC Berkeley's Molecular and Cell Biology 110 (General Biochemistry and Molecular Biology) run by Randy Schekman, Tom Alber, Q. Zhou, and E. Nogales then have iTunes running and log onto the URL deimos3. apple.com/WebObjects/Core.woa/Browse/berkeley.edu. 1622385355.02413789580. iTunes U is available to any higher-education institution in the US, Canada, Australia, Ireland, New Zealand, and UK. In Australia, my university (Melbourne, http://trs.unimelb.edu.au/itu/) has a public channel on iTunes U providing access to lectures of international interest, whereas Griffith University provides iTunes lectures (including biochemistry) that can be downloaded across several campuses and multiple courses such as nursing and science. Applying the Cloud-computing model [4], Apple hosts the data on iTunes U and administrators get weekly spreadsheet reports from Apple on site usage and content popularity. The sustained growth in quantity and quality of iTunes University offerings and the widespread decline in student attendances are pointing to a virtual future for an increasing amount of undergraduate teaching.

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)0.000
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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.209
Threshold uncertainty score0.476

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 head0.015
GPT teacher head0.422
Teacher spread0.407 · 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 designBench or experimental
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".

Quick stats

Citations4
Published2009
Admission routes1
Has abstractyes

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