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Rahul Agrawal Bejarano

dblp:291/7171 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Computing education · 100%
Software engineering, system software, and programming languages
1 paper
Program synthesis and code generation · 100%

Topics — the 1 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Computing education › programming education
novice programming
0.512021
Avoiding the Turing Tarpit: Learning Conversational Programming by Starting from Code's Purpose · CHI 2021

Methods — techniques the papers use, named apart from their topics

user study · 1.0prototype development · 1.0
YearPublicationVenuePosition
2021 Avoiding the Turing Tarpit: Learning Conversational Programming by Starting from Code's Purpose
abstract
Conversational programmers want to learn about code primarily to communicate with technical co-workers, not to develop software. However, existing instructional materials don’t meet the needs of conversational programmers because they prioritize syntax and semantics over concepts and applications. This mismatch results in feelings of failure and low self-efficacy. To motivate conversational programmers, we propose purpose-first programming, a new approach that focuses on learning a handful of domain-specific code patterns and assembling them to create authentic and useful programs. We report on the development of a purpose-first programming prototype that teaches five patterns in the domain of web scraping. We show that learning with purpose-first programming is motivating for conversational programmers because it engenders a feeling of success and aligns with these learners’ goals. Purpose-first programming learning enabled novice conversational programmers to complete scaffolded code writing, debugging, and explaining activities after only 30 minutes of instruction.
Kathryn I. Cunningham, Barbara Ericson, Rahul Agrawal Bejarano, Mark Guzdial
CHI3