Pith. sign in

REVIEW 1 cited by

Leveraging Large Language Model and Story-Based Gamification in Intelligent Tutoring System to Scaffold Introductory Programming Courses: A Design-Based Research Study

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2302.12834 v1 pith:XOTEMXXC submitted 2023-02-25 cs.HC cs.AI

classification cs.HCcs.AI
keywords programmingcoursesintroductorylanguagegamificationstudentschineseintelligent
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

Programming skills are rapidly becoming essential for many educational paths and career opportunities. Yet, for many international students, the traditional approach to teaching introductory programming courses can be a significant challenge due to the complexities of the language, the lack of prior programming knowledge, and the language and cultural barriers. This study explores how large language models and gamification can scaffold coding learning and increase Chinese students sense of belonging in introductory programming courses. In this project, a gamification intelligent tutoring system was developed to adapt to Chinese international students learning needs and provides scaffolding to support their success in introductory computer programming courses.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 1 Pith paper

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. A Zero-Shot LLM Framework for Automatic Assignment Grading in Higher Education

    cs.CY 2025-01 conditional novelty 4.0 of 10

    A zero-shot, prompt-engineered GPT-4 system can grade open-ended statistics homework and produce personalized feedback, but the evidence that it improves learning over traditional grading is limited by the survey design.

Pith tools