Rethinking the evaluation of algorithm animations as learning aids: an observational study

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Explanation in Human-AI Systems: A Literature Meta-Review, Synopsis of Key Ideas and Publications, and Bibliography for Explainable AI (2019, neutral): “…and Feltovich, 2001; Frederiksen, White, Collins, Allan, and Eggan, 1988; Guerlain, 1995; Haddawy, Jacobson, and Kahn, 1997; Katz and Lesgold, 1992; Kehoe, Stasko, and Taylor, 2001; Lajoie, 2009; Lane et al., 2005; Lesgold et al., 1988; Loksa et al., 2016; Mark and Simpson, 1991; McGuinness and…”
Designing the whyline: a debugging interface for asking questions about program behavior (2004, background): “For example, breakpoints and codestepping support observation of control flow, but hinder exploration and restructuring [17]; visualization tools help restructure data, but hinder diagnosis and observation [11].”
Can Dynamic Visualizations Improve Middle School Students' Understanding of Energy in Photosynthesis? (2012, result): “This technique is similar to the approach taken by other researchers (Kehoe et al., 2001; Mayer et al., 2005).”
Effectiveness of Animation in Trend Visualization (2008, background): “Kehoe et al. [ 11 ] describe a study that demonstrated that animation did help and noted that it improved motivation, making a difficult topic more approachable.”