EDBT 2026 Demo / reviewers in the wild / expert
Patricia Friedmann
dblp:296/8607
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1988
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1
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% | |
| Human-computer interaction and pervasive computing
1 paper |
Learning and educational technologies · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Programming languages and type systems · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computing education
intelligent tutoring systems |
0.0 | 1 | 1988 | A graphical programming language interface for an intelligent LISP tutor · CHI 1988 |
Programming languages and type systems › programming paradigms
visual programming languages |
0.0 | 1 | 1988 | A graphical programming language interface for an intelligent LISP tutor · CHI 1988 |
Methods — techniques the papers use, named apart from their topics
ideal model problem solving · 0.0graphical interface design · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1988 | A graphical programming language interface for an intelligent LISP tutorabstractWe describe an intelligent tutor for programming embedded in a graphical programming language. The tutor monitors students' problem solving and provides feedback and guidance. Explanations are generated from the content of the ideal model's problem solving rules. The graphical interface is designed to facilitate the acquisition of causal models of programming. Students work in a medium that corresponds to their planning operations. The interface enables forward and backward chaining, thus conveying the structure of the planning more effectively than a text-based interface. The interface also provides a graphical record of the solution history and current goals. Brian J. Reiser, Patricia Friedmann, Jody Gevins Underwood, Daniel Y. Kimberg, Michael Andrew Ranney |
CHI | 2 |