Matches in SemOpenAlex for { <https://semopenalex.org/work/W2992258807> ?p ?o ?g. }
Showing items 1 to 75 of
75
with 100 items per page.
- W2992258807 endingPage "156" @default.
- W2992258807 startingPage "155" @default.
- W2992258807 abstract "One of the most important goals of any quality undergraduate computer science (CS) curriculum is to train students to truly understand fundamental data structures and algorithms (DSAs). DSAs are straightforward for instructors to recite; however, for many first time learners, DSAs are still one of the most challenging areas to learn. DSAs are abstract to visualize, usually involve subtle pitfalls, and demand focused algorithmic thinking, but all of these are not fully exposed in the more fundamental programming courses that have been offered in more accessible ways under the huge recruiting pressure. Students who are weak in the area of DSAs tend to suffer computer science study. Therefore it is very crucial for the community to use more effective teaching materials to remove the barrier and retain students in the discipline.In order to effectively present non-trivial data structures and/or their manipulating algorithms to today's computer science (CS) students at liberal arts colleges (LACs), the CS education community has constantly created various algorithm visualization (AV) toolboxes including Java Applets, standalone applications and other more proprietary environments. These toolboxes, however, have not gained widespread success at a reasonably large scale for various reasons. In this sense, undergraduate CS faculty has inadequate instructional support for teaching DSAs.This tutorial will introduce an auto-generation approach that aims to produce machine-made teaching PowerPoint slides for DSAs, demonstrate about ten different DSAs using the slides that have been automatically generated by the generator software written by the group led by the PIs, describe how to use the slides, prepare custom input data and request slides, for each DSA, demonstrate the source code of the underlying generators and share the first hand experience of writing the generators with the audience, further introduce a cyber-base platform idea that can even remove the trouble of running the generators by the end users, report the status, novelty, advantages and challenges of the approach, answer the attendees' questions regarding the approach, and discuss with the audience on how we CS instructors of LACs can work together to benefit the community.The ideal audience of the tutorial will be computer science instructors who teach DSAs in LACs where computer science program is usually small and instructors won't be able to teach DSAs every semester or have to cover data DSAs outside of their expertise. In research universities, a professor who teaches DSAs usually teaches the same course every semester. This privilege doesn't apply to most computer science instructors in LACs where instructors have to cover many different and sometimes remotely related subjects such as DSAs, database, robotics, software engineering, architecture, etc. As a result, it is not uncommon that an instructor needs to constantly recall subtleness of DSAs every other three/four semesters when she/he is assigned to teach the subject again. This is quite a challenge as our brains (the main memory) tend to be limited and volatile while subjects of teaching keep switching." @default.
- W2992258807 created "2019-12-13" @default.
- W2992258807 creator A5004685056 @default.
- W2992258807 creator A5037774305 @default.
- W2992258807 date "2012-01-01" @default.
- W2992258807 modified "2023-09-23" @default.
- W2992258807 title "Using and developing automatically-generated microsoft PowerPoint slides to facilitate teaching of data structures and algorithms" @default.
- W2992258807 hasPublicationYear "2012" @default.
- W2992258807 type Work @default.
- W2992258807 sameAs 2992258807 @default.
- W2992258807 citedByCount "0" @default.
- W2992258807 crossrefType "journal-article" @default.
- W2992258807 hasAuthorship W2992258807A5004685056 @default.
- W2992258807 hasAuthorship W2992258807A5037774305 @default.
- W2992258807 hasConcept C111472728 @default.
- W2992258807 hasConcept C120912362 @default.
- W2992258807 hasConcept C138885662 @default.
- W2992258807 hasConcept C15744967 @default.
- W2992258807 hasConcept C17744445 @default.
- W2992258807 hasConcept C19417346 @default.
- W2992258807 hasConcept C199360897 @default.
- W2992258807 hasConcept C199539241 @default.
- W2992258807 hasConcept C2777904410 @default.
- W2992258807 hasConcept C2779530757 @default.
- W2992258807 hasConcept C37413474 @default.
- W2992258807 hasConcept C41008148 @default.
- W2992258807 hasConcept C47177190 @default.
- W2992258807 hasConcept C49774154 @default.
- W2992258807 hasConcept C548217200 @default.
- W2992258807 hasConceptScore W2992258807C111472728 @default.
- W2992258807 hasConceptScore W2992258807C120912362 @default.
- W2992258807 hasConceptScore W2992258807C138885662 @default.
- W2992258807 hasConceptScore W2992258807C15744967 @default.
- W2992258807 hasConceptScore W2992258807C17744445 @default.
- W2992258807 hasConceptScore W2992258807C19417346 @default.
- W2992258807 hasConceptScore W2992258807C199360897 @default.
- W2992258807 hasConceptScore W2992258807C199539241 @default.
- W2992258807 hasConceptScore W2992258807C2777904410 @default.
- W2992258807 hasConceptScore W2992258807C2779530757 @default.
- W2992258807 hasConceptScore W2992258807C37413474 @default.
- W2992258807 hasConceptScore W2992258807C41008148 @default.
- W2992258807 hasConceptScore W2992258807C47177190 @default.
- W2992258807 hasConceptScore W2992258807C49774154 @default.
- W2992258807 hasConceptScore W2992258807C548217200 @default.
- W2992258807 hasIssue "3" @default.
- W2992258807 hasLocation W29922588071 @default.
- W2992258807 hasOpenAccess W2992258807 @default.
- W2992258807 hasPrimaryLocation W29922588071 @default.
- W2992258807 hasRelatedWork W135085464 @default.
- W2992258807 hasRelatedWork W1553472162 @default.
- W2992258807 hasRelatedWork W1575104524 @default.
- W2992258807 hasRelatedWork W1857078508 @default.
- W2992258807 hasRelatedWork W1975652341 @default.
- W2992258807 hasRelatedWork W2061765165 @default.
- W2992258807 hasRelatedWork W2141027692 @default.
- W2992258807 hasRelatedWork W2153573548 @default.
- W2992258807 hasRelatedWork W2274996379 @default.
- W2992258807 hasRelatedWork W2302443189 @default.
- W2992258807 hasRelatedWork W2373919026 @default.
- W2992258807 hasRelatedWork W2380489681 @default.
- W2992258807 hasRelatedWork W2891101139 @default.
- W2992258807 hasRelatedWork W3025490 @default.
- W2992258807 hasRelatedWork W3047686302 @default.
- W2992258807 hasRelatedWork W3092297103 @default.
- W2992258807 hasRelatedWork W330974507 @default.
- W2992258807 hasRelatedWork W57144638 @default.
- W2992258807 hasRelatedWork W90191912 @default.
- W2992258807 hasRelatedWork W2724602826 @default.
- W2992258807 hasVolume "27" @default.
- W2992258807 isParatext "false" @default.
- W2992258807 isRetracted "false" @default.
- W2992258807 magId "2992258807" @default.
- W2992258807 workType "article" @default.