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Record W2735978461 · doi:10.5539/elt.v10n8p93

Students’ Perceptions on Using Different Listening Assessment Methods: Audio-Only and Video Media

2017· article· en· W2735978461 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEnglish Language Teaching · 2017
Typearticle
Languageen
FieldSocial Sciences
TopicEducation and Technology Integration
Canadian institutionsnot available
Fundersnot available
KeywordsActive listeningPsychologyPerceptionSet (abstract data type)CurriculumTest (biology)Mathematics educationMultimediaPedagogyComputer scienceCommunication

Abstract

fetched live from OpenAlex

The importance and usefulness of incorporating video media elements to teach listening have become part of the general understanding and commonplace in the academia nowadays (Alonso, 2013; Macwan, 2015; Garcia, 2012). Hence, it is of vital importance that students are taught effectively and assessed accordingly on their listening skills. The purpose of this study is to examine students’ perceptions towards audio only method and video media method in listening assessment. The participants for this study were 150 students from four different faculties. Pre and post-test were conducted in collecting the data for this study with the same set of questions with two different assessment methods used. The results indicated that the majority of the participants have positive response towards the use of video media as their listening assessment method as it provides authentic, meaningful, and real-life situation contexts. Video has been used as a tool to cater the needs of 21st century learners as these learners are exposed with a lot of visual materials in their daily life. More video media related assessments should be implemented in the second language (L2) classrooms so that students will be more familiar with the different types of assessments present these days. In light of this notion, curriculum developers should be aware of the advancement in technology and ready to invest in changes.

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.

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)0.002
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.105
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.000
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.036
GPT teacher head0.454
Teacher spread0.419 · 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