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Record W3193964329 · doi:10.5430/ijhe.v10n6p213

Learning and Students’ Experiences with Blended Education

2021· article· en· W3193964329 on OpenAlexvenueno aff
Edyta Just

Bibliographic record

VenueInternational Journal of Higher Education · 2021
Typearticle
Languageen
FieldPsychology
TopicInnovative Teaching and Learning Methods
Canadian institutionsnot available
FundersFaculty of Arts and SciencesLinköpings Universitet
KeywordsProject-based learningThematic analysisBlended learningPedagogyPsychologyQualitative researchMathematics educationMedical educationSociologyEducational technologyMedicine

Abstract

fetched live from OpenAlex

The article presents the outcomes of the research project supported by Linköping University, Sweden. The research project constitutes a part of an umbrella project called Pedagogiska Utvecklingsmedel för E-lärande 2019 (Pedagogical Development Tools for E-learning 2019). The research project focuses on the International Master's Program “Gender Studies - Intersectionality and Change” offered at the Unit of Gender Studies, Department of Thematic Studies, Faculty of Arts and Sciences, Linköping University, Sweden. The main aims of the research project are to determine which teaching content, teaching methods, learning activities, teacher’s role, and students’ own strategies matter for learning i.e., for acquiring knowledge and skills/competences in an international blended, face-to-face and online, Master’s Program, and to present students’ experiences with face-to-face and online education in the Program. The project is based on qualitative, semi-structured interviews with the 2nd year students and alumni who have participated in the Program. The interviews were conducted online in November and December 2019. The article presents which content, teaching methods, learning activities, teacher’s role, and students’ own strategies matter for the acquirement of knowledge and skills by the students in blended education. It describes how Campus and online phases of the Program matter for students’ learning. Next to that, it indicates the challenges related to online study, but also educational methods that may help to overcome them.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.351
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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)0.0010.000

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 head0.023
GPT teacher head0.451
Teacher spread0.428 · 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.

Study designObservational
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

Citations2
Published2021
Admission routes1
Has abstractyes

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