Sentiment analysis shows interviewees overwhelmingly used positive emotions when describing their SRL strategies and the ALT feedback¶
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Currency · newest study 2024 · not yet checked against its sources · not reviewed by a person
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q1 i? Interviewees overwhelmingly used positive emotions and affective-process words to describe their SRL strategies and the feedback and suggestions from the ALT, with negative emotions (anxiety, anger, sadness) low. → Mathias Mejeh 2024
Evidence¶
Mathias Mejeh 2024¶
Mathias Mejeh, Martin Rehm. (2024). Taking adaptive learning in educational settings to the next level: leveraging natural language processing for improved personalization. Education Tech Research Dev. https://doi.org/10.1007/s11423-024-10345-1
q1 · i? · design · r2
Sentiment analysis of the interview transcripts using DE-LIWC2015 dictionaries, reported in Table 1 with descriptive means (overall affect mean 5.62; positive emotion 4.93; negative emotion 0.71; anxiety 0.06; anger 0.06; sadness 0.45). The authors conclude there does not seem to be cause for alarm regarding emotional disposition.
"they overwhelmingly used posi- tive emotions and words associated with affective processes to describe their SRL strat- egies, as well as the feedback and the suggestions they got from the ALT"
Discussion¶
Related Claims¶
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Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
sentiment-analysis-positive-emotion-dominance |
title |
Sentiment analysis shows interviewees overwhelmingly used positive emotions when describing their SRL strategies and the ALT feedback |
description |
Sentiment analysis shows interviewees overwhelmingly used positive emotions when describing their SRL strategies and the ALT feedback |
status |
review |
evidence_strength |
weak |
newest_evidence |
2024 |
generated |
by process:wiki-ingest on 2026-10-29 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — mathias-mejeh-2024 |
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