Treatment students perceived OAV as useful and effective, with algorithmic thinking the most frequent contribution theme (28%)¶
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Evidence · 1 study · qualitativer2·q1
Currency · newest study 2017 · not yet checked against its sources · not reviewed by a person
Subclaims¶
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q1 i? Content analysis of open-ended survey responses (n = 20) and interviews (n = 4) yielded seven themes; algorithmic thinking was the most frequent (20 mentions, 28%), followed by fundamentals of programming (18%) and fun learning (14%). → Saltan 2017
Evidence¶
Saltan 2017¶
Fatih Saltan. (2017). The Impact of Online Algorithm Visualization on ICT Students' Achievements in Introduction to Programming Course. Journal of Education and Learning, 6(1). https://doi.org/10.5539/jel.v6n1p184
q1 · i? · qualitative · r2
Qualitative case-study component of the mixed-methods study: content analysis of treatment-group survey responses and four semi-structured interviews coded in Nvivo8 produced "seven themes" including algorithmic thinking, fun learning, reducing bias, explorative learning, progressive thinking and scaffolding.
"There were seven themes which explain the contribution of OAV to students' learning of programming language (see Figure 3)."
Discussion¶
Related Claims¶
- Open-ended learner feedback revealed four themes: trust in AI scaffolding, feedback clarity, engagement, and task authenticity — related
- Pre-service teachers liked SWBL's facilitating learning, anywhere/anytime access, just-in-time learning, ease of use, meaningful learning and reliability, but disliked reduced classroom communication and Internet dependence — related
- Qualitative themes: efficiency and peer influence drive AI use, while confidence and rule ambiguity shape students' perceptions of dependence — related
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